How to Build Cross-Platform Mobile Apps Using Python?

Python is a great choice for making mobile app that work on both iOS and Android. This guide will help you understand how to use Python to create apps that can be used on different devices.

We’ll make it simple for you to learn and give you examples to help you with each part of the process. Get ready to explore the world of making mobile apps that everyone can enjoy!

In this blog we demystify the process and empower you to create mobile applications that transcend boundaries and captivate users across diverse platforms.

Welcome to the realm where innovation meets accessibility—welcome to the world of building cross-platform mobile apps using Python!

Below we have explained the process of developing cross-platform mobile apps using Python, accompanied by practical code examples to guide you through each step.

Understanding Cross-Platform Development

Before we start making things, let’s quickly understand what cross-platform development means.

Cross-platform development lets developers write code just one time and use it on different platforms like iOS and Android.

This way, it saves a lot of time and resources because developers don’t have to make separate apps for each platform.

Top Python Frameworks for Cross-Platform Mobile App Development

As the demand for mobile applications continues to rise, developers seek efficient ways to build apps that run seamlessly across different platforms.

Python, known for its versatility and readability, has become a popular choice for cross-platform development.

Here is the list of various frameworks that empower developers to build cross-platform mobile apps using Python.

Kivy

Kivy stands out as a versatile open-source Python framework designed for rapid development of applications.

It supports multitouch events, making it ideal for interactive and responsive apps.

Kivy provides a natural user interface across multiple platforms, including Windows, macOS, Linux, iOS, and Android.

Key Features:

  • Multi-touch support
  • GPU accelerated rendering
  • Support for various input devices
  • Extensible and customizable

Getting Started:

pip install kivy

BeeWare-Toga

BeeWare is not just a single framework but a collection of tools and libraries that allow developers to write native apps using Python.

Toga, a part of BeeWare, is specifically designed for building cross-platform applications.

Key Features:

  • Write once, run anywhere
  • Native look and feel
  • Supports iOS, Android, Windows, macOS, Linux, and more
  • Access to native APIs

Getting Started:

pip install toga

Pyqtdeploy

Pyqtdeploy is a deployment tool that facilitates the packaging and distribution of PyQt applications.

While PyQt itself is primarily for desktop applications, pyqtdeploy extends its capabilities to cross-platform deployment.

Key Features:

  • Efficient packaging and distribution
  • Supports Windows, macOS, and Linux
  • Cross-compilation support
  • Easy integration with PyQt applications

Getting Started:

pip install pyqtdeploy

BeeWare – Briefcase

Briefcase is another component of the BeeWare suite that focuses on packaging Python projects into standalone applications.

It supports creating executables for various platforms, including mobile.

Key Features:

  • Simplifies the packaging process
  • Supports iOS and Android
  • Integration with other BeeWare tools

Getting Started:

pip install briefcase

Creating Your First Cross-Platform App

Let’s start by creating a simple “Hello World” app to get a feel for the development process.

# main.py

from kivy.app import App

from kivy.uix.button import Button

class HelloWorldApp(App):

def build(self):

return Button(text=’Hello, Cross-Platform World!’)

if _ _ name _ _ == ‘ _ _ main _ _ ‘:

HelloWorldApp().run()

Save the above code in a file named main.py and run it using the command:

python main.py

You should see a basic window with a button displaying the “Hello, Cross-Platform World!” text.

Building a Cross-Platform Calculator App

Let’s take things up a notch by creating a cross-platform calculator app.

# calculator.py

from kivy.app import App

from kivy.uix.boxlayout import BoxLayout

from kivy.uix.button import Button

class CalculatorApp(App):

def build(self):

layout = BoxLayout(orientation=’vertical’, spacing=10)

self.result = Button(text=’0′, font_size=32, size_hint=(1, 0.2))

layout.add_widget(self.result)

buttons = [

[‘7’, ‘8’, ‘9’, ‘/’],

[‘4’, ‘5’, ‘6’, ‘*’],

[‘1’, ‘2’, ‘3’, ‘-‘],

[‘0’, ‘.’, ‘=’, ‘+’]

]

for row in buttons:

h_layout = BoxLayout(spacing=10)

for label in row:

button = Button(text=label, pos_hint={‘center_x’: 0.5})

button.bind(on_press=self.on_button_press)

h_layout.add_widget(button)

layout.add_widget(h_layout)

return layout

def on_button_press(self, instance):

current_text = self.result.text

if instance.text == ‘=’:

try:

result = str(eval(current_text))

self.result.text = result

except Exception as e:

self.result.text = ‘Error’

else:

self.result.text += instance.text

if  _ _ name _ _ == ‘ _ _ main _ _ ‘:

CalculatorApp().run()

This calculator app demonstrates the potential of Python and Kivy for cross-platform app development.

Run it using the same python calculator.py command, and you’ll have a fully functional calculator on your screen.

The Python Advantage

  1. Simplicity and Readability:

Python’s clean and readable syntax makes it an ideal choice for developers. Its simplicity allows for faster development cycles, crucial in the ever-evolving landscape of mobile applications.

  1. Extensive Libraries and Frameworks:

Python boasts a rich ecosystem of libraries and frameworks, simplifying complex tasks and enhancing development speed.

This abundance of resources empowers developers to create feature-rich cross-platform apps with ease.

Getting Started with Cross-Platform Mobile App Development

  1. Choose the Right Framework:

Select a suitable cross-platform framework compatible with Python. Popular choices include Kivy, BeeWare, and PyQT.

  1. Setup Development Environment:

Install the necessary tools and set up your development environment. This may include installing Python, the chosen framework, and any additional dependencies.

  1. Understand UI/UX Design:

A crucial aspect of cross-platform development is creating a user interface (UI) that adapts seamlessly to various screen sizes and resolutions.

Prioritize a responsive design approach for optimal user experience.

The Development Process

  1. Code Logic:

Write the core logic of your application using Python. This code will be the backbone of your app, handling functionalities and interactions.

  1. UI Implementation:

Utilize the chosen framework to implement the user interface. Ensure that the design is flexible enough to accommodate variations in different platforms.

  1. Testing:

Rigorous testing is essential to identify and resolve any platform-specific issues. Emulators and real devices can be used to simulate diverse environments.

Deployment and Beyond

  1. Build and Package:

Once satisfied with the development and testing phases, build your app and package it for deployment.

  1. App Store Submission:

Follow the submission guidelines for respective app stores, ensuring compliance with platform-specific requirements.

  1. Continuous Improvement:

Embrace a mindset of continuous improvement. Monitor user feedback, address issues promptly, and consider updates to enhance your app’s features and performance.

Top Things to Consider When Hiring Python Cross-Platform Mobile App Developers

Python, with its versatility and cross-platform capabilities, has emerged as a powerful force in the creation of mobile applications.

However, the success of your venture heavily relies on the expertise and proficiency of the developers you choose to bring your vision to life.

Whether you’re launching a startup or enhancing an existing project, these insights will guide you in selecting the right professionals who can turn your ideas into exceptional, cross-platform mobile experiences.

  1. Technical Proficiency

When hiring Python cross-platform mobile app developers, technical proficiency is paramount.

Look for a development team with a strong foundation in Python, as well as experience with popular frameworks such as Kivy, BeeWare, or others.

  1. Cross-Platform Framework Expertise

Ensure that the development team is well-versed in cross-platform frameworks specific to Python.

Proficiency in these frameworks allows developers to create applications that maintain a native look and feel across different platforms, enhancing the user experience.

  1. Portfolio and Previous Projects

Examine the development team’s portfolios and assess their previous projects.

Look for examples of cross-platform mobile apps they have built using Python.

A robust portfolio not only showcases their technical skills but also provides insights into their creativity, problem-solving abilities, and adaptability to different project requirements.

  1. Communication and Collaboration Skills

Effective communication and collaboration are essential for successful project execution.

Ensure that the python development team can articulate their ideas, understand your project requirements, and work seamlessly within a team.

The ability to communicate complex technical concepts in a clear and understandable manner is a valuable skill.

  1. Problem-Solving Aptitude

Mobile app development often involves overcoming challenges and solving complex problems.

Assess the development team’s problem-solving aptitude by discussing past experiences where they successfully navigated obstacles.

A keen problem-solving mindset is crucial for handling issues that may arise during the development process.

  1. Adaptability to Emerging Technologies

The tech landscape is constantly evolving, and development teams need to stay abreast of emerging technologies.

Inquire about the candidates’ commitment to continuous learning and their ability to adapt to new tools, libraries, and trends in the Python cross-platform mobile app development space.

Conclusion

Cross-platform mobile app development with Python opens up exciting possibilities for developers.

With frameworks like Kivy, you can leverage the simplicity of Python to create powerful and interactive applications that run seamlessly on both iOS and Android devices.

Start exploring the world of cross-platform development with Python today and elevate your app development experience. Happy coding!

Frequently Asked Questions

  1. What is cross-platform mobile app development, and why is it important?

Cross-platform mobile app development refers to the process of creating mobile applications that can run on multiple operating systems, such as iOS and Android.

It is essential as it allows developers to write code once and deploy it across various platforms, saving time and resources compared to building separate native apps.

  1. Why choose Python for cross-platform mobile app development?

Python is chosen for cross-platform mobile app development due to its simplicity, readability, and versatility.

It offers frameworks like Kivy and BeeWare, which enable developers to create applications that work seamlessly on different platforms, making Python an attractive choice for cross-platform development.

  1. What is Kivy, and how does it facilitate cross-platform mobile app development?

Kivy is an open-source Python framework specifically designed for developing cross-platform applications.

It provides tools and libraries for multi-touch support, making it ideal for building interactive and responsive mobile apps.

Kivy allows developers to write code once and deploy it on various platforms, including iOS and Android.

  1. Can I use Python to build apps with a native look and feel on different platforms?

Yes, with frameworks like BeeWare (specifically Toga), you can achieve a native look and feel for your cross-platform mobile apps built with Python.

BeeWare’s tools enable developers to create applications that seamlessly integrate with the user interface conventions of each target platform.

  1. Are there any limitations to cross-platform mobile app development using Python?

While Python is a powerful language for cross-platform development, it’s essential to note that certain advanced features and optimizations available in native development might be limited.

Additionally, performance considerations should be taken into account for resource-intensive applications.

  1. How do I test my cross-platform mobile app during development?

Cross-platform mobile apps developed with Python can be tested using platform-specific emulators or real devices.

Both Kivy and BeeWare provide documentation on testing strategies, and tools like Appium can be used for automated testing across multiple platforms.

  1. What resources are available for learning Python cross-platform mobile app development?

There are various online resources, tutorials, and documentation available for learning Python cross-platform mobile app development.

Websites like Kivy.org, BeeWare.org, and Python.org provide comprehensive guides, documentation, and community support to help developers get started.

  1. Can I integrate native features like GPS or camera functionality in my Python cross-platform app?

Yes, Python cross-platform frameworks often provide APIs and modules for accessing native features like GPS, camera, and sensors.

Developers can leverage these features to enhance the functionality of their apps and provide a seamless user experience.

  1. How does deployment work for cross-platform mobile apps built with Python?

Deployment for Python cross-platform apps involves packaging your application using tools like Kivy’s PyInstaller or BeeWare’s Briefcase.

These tools create standalone executables or packages that can be distributed and installed on the target platforms.

What Makes Python Best Programming Language for AI and ML Development

Artificial Intelligence (AI) and Machine Learning (ML) are the fastest developing technology in the field of computer programming.

Companies like Facebook, Tesla and Google are spending millions to develop AI tools that can solve real world problems.

A most recent example of such development is ChatGPT which has taken the world by storm.

When it comes to AI app development there are various programming languages to choose from such as JavaScript, Java, Scala, Julia, C++ and Python.

Among all these languages Python is the most suitable and sought-after programming language.

Its simplicity, extensive libraries, and thriving community have made it the preferred choice for AI and ML development.

In this blog, we’ll delve into the compelling reasons why Python stands out as the best programming language for AI and ML.

  1. Ease of Learning and Readability

Python features a clean and concise syntax which makes it easier to learn and understand. Its code readability resembles verbal English which makes it accessible to both beginners and seasoned developers.

This simplicity of the Python programming language makes it crucial in AI and ML application development as it requires fast adoption.

  1. Vast Ecosystem of Libraries and Frameworks

Python app development is popular because of a wide collection of libraries and frameworks. These libraries act as modules which include pre-written code which can simply be published to add a feature to the code.

AI and ML application development requires continuous data processing and these libraries enable developers to access, handle and transform data.

Libraries like TensorFlow, PyTorch, scikit-learn, and Keras simplify complex tasks like neural network implementation, data preprocessing, and model evaluation.

Explained below are top 5 such libraries used for AI development:

  • Scikit-learn (sklearn):

Scikit-learn is a versatile library for ML in Python. It provides simple and efficient tools for data mining and data analysis.

Scikit-learn offers a wide range of algorithms for classification, regression, clustering, dimensionality reduction, and more.

It’s known for its user-friendly API and is suitable for both beginners and experts in ML.

Example: Building a simple machine learning model to classify iris flowers

1st – from sklearn import datasets

from sklearn.model_selection import train_test_split

from sklearn.neighbors import KNeighborsClassifier

 

iris = datasets.load_iris()

X_train, X_test, y_train, y_test = train_test_split(iris.data, iris.target, test_size=0.3)

 

model = KNeighborsClassifier(n_neighbors=3)

model.fit(X_train, y_train)

predictions = model.predict(X_test)

  • TensorFlow:

TensorFlow is an open-source deep learning framework developed by Google.

It excels in building and training neural networks for tasks like image and speech recognition, natural language processing, and more.

TensorFlow offers flexibility for research and production-grade ML model deployment. Its high-level API, Keras, makes it accessible for beginners.

Example: Creating a basic neural network for image classification

import tensorflow as tf

(x_train, y_train), (x_test, y_test) = tf.keras.datasets.mnist.load_data()

model = tf.keras.Sequential([

    tf.keras.layers.Flatten(input_shape=(28, 28)),

    tf.keras.layers.Dense(128, activation=’relu’),

    tf.keras.layers.Dropout(0.2),

    tf.keras.layers.Dense(10, activation=’softmax’)

])

model.compile(optimizer=’adam’,

              loss=’sparse_categorical_crossentropy’,

              metrics=[‘accuracy’])

model.fit(x_train, y_train, epochs=5)

  • PyTorch:

PyTorch is another popular deep learning framework known for its dynamic computation graph, which enables more intuitive and flexible model building.

PyTorch is widely adopted in research due to its ease of debugging and prototyping.

It’s often the choice for those who prefer a more “Pythonic” approach to deep learning.

Example: Building a simple convolutional neural network (CNN) for image classification

1st –  import torch

import torch.nn as nn

import torch.optim as optim

class Net(nn.Module):

    def __init__(self):

        super(Net, self).__init__()

        self.conv1 = nn.Conv2d(1, 32, 3)

        self.fc1 = nn.Linear(32*26*26, 64)

        self.fc2 = nn.Linear(64, 10)

 

    def forward(self, x):

        x = self.conv1(x)

        x = x.view(-1, 32*26*26)

        x = self.fc1(x)

        x = self.fc2(x)

        return x

 

net = Net()

criterion = nn.CrossEntropyLoss()

optimizer = optim.SGD(net.parameters(), lr=0.001, momentum=0.9)

  • NLTK (Natural Language Toolkit):

NLTK is a comprehensive library for natural language processing (NLP) in Python.

It provides tools for text tokenization, stemming, parsing, and sentiment analysis, among others.

NLTK is widely used in text mining, chatbot development, and linguistic research.

Example: Performing text tokenization and sentiment analysis

import nltk

from nltk.tokenize import word_tokenize

from nltk.sentiment.vader import SentimentIntensityAnalyzer

 

nltk.download(‘punkt’)

nltk.download(‘vader_lexicon’)

 

text = “Python is a versatile programming language. I love using it!”

tokens = word_tokenize(text)

sia = SentimentIntensityAnalyzer()

sentiment_scores = sia.polarity_scores(text)

OpenCV (Open Source Computer Vision Library):

OpenCV is a powerful library for computer vision and image processing tasks.

It offers a wide range of functionalities, including image and video analysis, object detection, facial recognition, and more.

OpenCV is essential for applications like image manipulation, autonomous vehicles, and surveillance systems.

Example: Performing image processing and face detection

import cv2 image = cv2.imread(‘image.jpg’) gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY) face_cascade = cv2.CascadeClassifier(‘haarcascade_frontalface_default.xml’) faces = face_cascade.detectMultiScale(gray, scaleFactor=1.3, minNeighbors=5)

  1. Active and Supportive Community

Developers, data scientists, and researchers worldwide contribute to forums, blogs, and open-source projects, providing invaluable support and resources to fellow enthusiasts.

Developers choose programming technologies that have a strong community support. In this scenario, Python is a suitable programming language because it’s an open source technology and provides resources for programmers of all levels of proficiency.

A significant amount of Python documentation which is available online as well as in community forums programmers discuss error solving, bug fixing and code improvement to help programmers become better at Python programming.

Python programming language is absolutely free and provides a wide range of  useful libraries and tools.

  1. Cross-Platform Compatibility

Python’s cross-platform compatibility is a standout feature which makes it a versatile and widely adopted programming language.

Whether you are using Windows, MacOS, or Linux you can write the Python code once and run on multiple platforms seamlessly without making a major modification.

This is a must-have feature for developers as well as Python development companies as it ensures a consistent behavior and functionality across various operating systems.

This reduces the compatibility issues which are inherent in other programming languages. Python cross-platform compatibility makes it a suitable choice for building applications and software that needs to reach a broad user base.

This enables developers to focus on their code’s functionality rather than worrying about system-specific nuances. Python runs seamlessly on major operating systems, including Windows, macOS, and Linux.

This versatility ensures that AI and ML projects can be developed and deployed across different platforms without major compatibility issues.

  1. Scalability

Python’s scalability is one of the most important features that contributes to its widespread adoption in domains such as web development, data science, and artificial intelligence.

This versatility of Python programming languages enables seamless accommodation of projects of varying sizes and complexities. Python can be employed by both beginners and experienced developers for enterprise application development.

Python offers the flexibility to scale up and down when needed. This robust ecosystem of libraries, frameworks, tools along with the rocksolid community support makes it one of the most sought-after programming languages for AI and ML development.

Python’s scalability ensures that it can adapt to the evolving needs of developers and organizations, making it a reliable choice for a wide spectrum of applications.

  1. Integration Capabilities

Python’s wide integration capabilities makes it a versatile programming language. It seamlessly integrated with other languages such as C, C++, and Java thereby enabling developers to leverage the various libraries and the existing codes.

This interoperability is particularly advantageous when working on projects that require the performance optimization.

Python’s support for web services, APIs, and data exchange formats like JSON and XML further enhances its integration capabilities, enabling smooth communication with web-based applications and data sources.

This flexibility in integration not only saves development time but also allows Python to be a valuable component in a wide range of software ecosystems and industries, from web development to Artificial intelligence and beyond.

  1. Data Handling and Analysis

Python’s data handling capabilities makes it the most popular programming language for data scientists and analysts. It offers powerful libraries and tools for data manipulation, analysis and visualisation.

Libraries like NumPy and pandas provide efficient data structures and functions for handling structured data, making tasks like filtering, sorting, and aggregating data a breeze.

Python’s native support for dictionaries and lists simplifies unstructured data handling. Additionally, libraries like Matplotlib, Seaborn, and Plotly enable data visualization, allowing users to create informative charts and plots.

Python excels in data manipulation and analysis, making it an ideal choice for AI and ML, which heavily rely on data processing.

  1. Visualization Tools

Python’s visualization tools have their application in data science and analysis. It provides an array of libraries such as Matplotlib, Seaborn, Plotly and Bokeh which empower data professionals to create compelling and insightful visualizations.

Whether it is for crafting interactive charts or plotting complex data, Python’s visualization capabilities are diverse and adaptable.

These tools not only enable data exploration but also assist in communicating various findings effectively to both technical and non-technical stakeholder.

The Python community continually enriches these libraries, ensuring they remain at the forefront of data visualization innovations.

Whether you’re working on data analysis, machine learning, or any data-centric task, Python’s visualization tools provide the visual narrative needed to extract meaning and make informed decisions from data.

  1. Flexibility and Prototyping

Python is well-known for its flexibility and rapid development capabilities which makes it an excellent choice for prototyping.

This prototyping involves creation of preliminary versions of software or applications to test concepts, design ideas, and functionality before moving to full-scale development.

Python features dynamic typing, concise syntax and extensive libraries which allow Python developers to quickly transform ideas into working prototypes.

With Python, developers can focus more on the logic and functionality of their prototypes rather than getting bogged down by complex syntax.

This facilitates a streamlined development process which enables rapid interactions and easy modification thereby making Python the most preferred language for AI and ML algorithms, web application and other software prototypes.

Be it for creating novel AI models or building proof-of-concept applications, Python prototyping features can empower developers to efficiently bring ideas to life and gather valuable insights for development.

  1. Open Source and Free

Python is not only a powerful and versatile programming language but also stands out for its accessibility. One of its most compelling attributes is its open-source and free nature.

Python’s open-source status means that it’s available to anyone for use, modification, and distribution without any licensing fees. This fosters a vibrant and collaborative community of developers, data scientists, and enthusiasts who contribute to its growth and improvement.

Whether you’re a beginner exploring programming for the first time or a seasoned developer working on complex AI or web applications, Python’s open-source nature ensures that you have access to a wealth of resources and support.

And making it an ideal choice for a wide range of projects and industries.

What are The Top 10 Trends in AI and ML

Artificial Intelligence (AI) and Machine Learning (ML) are dynamic fields that constantly evolve.

  1. Explainable AI (XAI):

    XAI is gaining importance as AI systems become more complex. It focuses on making AI algorithms more transparent and interpretable, allowing humans to understand how AI decisions are made, which is crucial for applications like healthcare and finance.

  2. Federated Learning:

    Federated Learning is a privacy-focused approach where machine learning models are trained across decentralized devices or servers holding local data. It enables collaborative model training without sharing raw data, addressing privacy concerns.

  3. AI in Healthcare:

    AI is revolutionizing healthcare with applications in medical imaging, drug discovery, personalized medicine, and patient care. AI-driven diagnostics and treatment recommendations are becoming more accurate and accessible.

  4. AI in Natural Language Processing (NLP):

    NLP is advancing rapidly, with models like GPT-3 and BERT setting new benchmarks. AI-powered language models are used in chatbots, language translation, content generation, and more.

  5. AI in Edge Computing:

    AI is moving closer to the data source with edge computing. This trend enables real-time AI processing on devices like smartphones, IoT sensors, and autonomous vehicles, reducing latency and enhancing privacy.

  6. AI Ethics and Bias Mitigation:

    As AI systems impact society, ethical considerations are paramount. Addressing bias, fairness, and ethical AI development practices are becoming crucial areas of focus.

  7. AI in Cybersecurity:

    AI-driven cyber-security solutions are more effective at identifying and mitigating cyber threats. They analyze vast amounts of data to detect anomalies and respond to attacks in real-time.

  8. AI in Autonomous Systems:

    AI is powering autonomous vehicles, drones, and robots. These systems are becoming increasingly capable of making complex decisions in dynamic environments, enhancing safety and efficiency.

  9. AI in Finance:

    AI is transforming the financial sector through algorithmic trading, fraud detection, risk assessment, and customer service chat-bots. It’s also driving innovations in blockchain and cryptocurrencies.

  10. AI for Climate and Sustainability:

    AI is being applied to address climate change and sustainability challenges. It’s used in climate modeling, energy optimization, and conservation efforts to make a positive impact on the environment.

Top Things to Consider When Choosing Python Developers for AI and ML Development

Hiring Python developers for AI and ML app development is a critical task that requires careful consideration.

Here are the top five things to keep in mind when making your hiring decisions:

  1. Skillset and Experience:

    Look for candidates with a strong foundation in Python programming, as well as expertise in AI and ML frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, and Keras.

    They should have a proven track record of working on AI and ML projects, preferably in roles where they’ve implemented machine learning algorithms, deep learning models, and data pre-processing pipelines.

  2. Domain Knowledge:

    Depending on your specific AI and ML application, consider candidates with domain knowledge relevant to your industry.

    Whether it’s healthcare, finance, e-commerce, or any other field, having an understanding of the domain can be invaluable when designing and implementing AI solutions.

  3. Problem-Solving and Critical Thinking:

    AI and ML app development often involves tackling complex problems. Assess candidates for their problem-solving abilities, critical thinking skills, and their capacity to adapt to new challenges. Ask them to solve real-world AI and ML problems during interviews to evaluate their problem-solving skills.

  4. Communication and Collaboration:

    Effective communication is crucial in a development team. Ensure that candidates can explain complex AI and ML concepts in a clear and understandable manner.

    Evaluate their ability to collaborate with cross-functional teams, including data scientists, designers, and product managers, as teamwork is essential for successful AI and ML projects.

  5. Portfolio and Projects:

    Review candidates’ portfolios and ask for examples of their previous AI and ML projects. A strong portfolio demonstrates their practical experience and the ability to deliver tangible results.

    Additionally, consider their contributions to open-source AI and ML projects, which can be a sign of their commitment to the field.

Conclusion

Python’s supremacy in AI and ML development is not accidental. Its combination of simplicity, powerful libraries, and a supportive community makes it the best programming language for tackling complex AI and ML projects.

These factors also make it one of the most sought-after programming languages for Python application development as well as AI and ML application development.

Top AI app development companies in the world use Python to create interactive AI apps.

Whether you’re a beginner looking to enter the field or an experienced practitioner pushing the boundaries of what’s possible, Python offers the tools and resources needed to excel in the exciting world of artificial intelligence and machine learning.

Embrace Python, and you’ll find yourself at the forefront of innovation in this rapidly evolving field.

Why Should You Hire a Full Stack Developer for Mobile App Development?

Building web or mobile app is complicated, expensive, and requires many developers. A business may need to involve developers like front end, back end, and more who can handle all layers of project development.

But, it pushes the budget relatively high for any company and may not guarantee high-quality outcomes.

Full stack developers are multi-skilled professionals who address both aspects of the software development process.

They are team players with a deep understanding and knowledge of architecture, languages, and frameworks.

Many enterprises prefer to hire full stack developers, as they can also fulfill the skills demanded by these companies and standards.

The Reasons to Hire Dedicated Full Stack Developers

With an end-to-end understanding of software development and proficiency in the back-end and front-end, data servers, network and hosting environments, and version control systems, full stack developers can fastrack development by streamlining the processes from its initial stage to deployment and beyond.

Their immense capabilities, such as proficiency in multiple programming languages and the ability to provide continuous maintenance and support, help businesses save operational costs and deliver applications timely.

Why Hire a Full Stack Developer for Mobile App Development

1. Time-efficient and Cost-effective

Front-end developers can handle complex programming problems in less time and money. They have the potential to address both the front ends and back ends.

It helps businesses save the expenditure of hiring front-end and back-end developers for their projects.

In addition, full stack developers can help businesses save huge contractual and operation costs. Affordability is one of the biggest reasons that compels organizations to hire full stack developers.

When you hire individual professionals or developers, you may have to spend money and time to manage them separately.

Involving them in your project can help you eliminate the pain of hiring multiple developers at different stages of the app development. Ultimately, it will help you save money.

2. Proficiency in Multiple Programming Languages

When it comes to proficiency in programming languages, you will find that full stack developers possess proficiency in multiple programming languages.

They work on full stack projects using a variety of programming frameworks and languages like Python, JavaScript, HTML, PHP, and others.

Besides, full stack developers can operate on both the server side and interface. Custom mobile app development services can solve mistakes immediately by working them out.

Their expertise in the tech stack provides them with this unmatched flexibility that enables them to make modifications so quickly.

3. Opportunity to Work on the Latest Trends

Full stack developers get the opportunity to work on a wide range of projects. It helps these developers to gain an in-depth understanding of the latest trends. Also, they always keep improving their knowledge and update themselves with the latest trends.

It is their insight that helps an organization in achieving better performance in the case of software development.

4. Continuous Support and Maintenance

Involving a mobile app development company can help a business to get continuous technical support and maintenance for your app development project.

Such companies provide skilled full stack developers who possess expertise in different technologies. They get frequent updates on the latest technological trends and advancements.

Their expertise in different tech stacks helps them to quickly adapt to these ever-evolving changes and implement them in their projects. Implementing such type of modifications based on the latest updates gives your mobile app development a boost.

Apart from this, you get 24*7 support for your project development. Such support continues even after your product is launched and faces some technical issues.

5. A Smooth Workflow

Full stack developers follow a smooth workflow as they carry on the entire mobile app development process in harmony. They take the tasks accordingly.

In addition, full stack developers can easily take ownership and responsibility for the project as they work on all parts of the product.
It makes them accountable for everything that happens in the development process.

Developers can work at the mid-section of the project and can switch to its end without any hesitation.

6. All-in-one Development Solution

Companies may hire specific experts for their particular projects. But, it may bring some problems. Developers with expertise in some particular domain often need help to deal with the underlying root problems.

They often spend their whole time dealing with specific issues only. On the contrary, when you hire dedicated full stack developers, they can look into the original issues of the problem occurring during the development process.

It becomes possible due to their vast array of expertise across several spheres of the development process.

7. Build Applications

Faster Full stack developers show excellent coordination when they handle a project. They can quickly swift between the project necessities, manage tasks, and work simultaneously. Such a type of coordination makes it easy to remove communication problems.

Custom mobile app development services help to build applications faster as developers don’t need to depend on various other resources and manage all tasks themselves.

They can maintain and optimize the current development process according to user preferences. Their expertise helps businesses to get responsive and scalable applications that can successfully handle the enormous demands of users.

Conclusion

Full stack developers have enough expertise to remove several issues often occurring during mobile app development. For example, they can deal successfully with problems in development and inefficiency.

They can clear delivery backlogs and poor communication to build applications faster by maintaining a smooth workflow. But to get high-quality apps and save money, choosing a mobile app development company will require your effort.

You should look into their previous projects and the level of quality they have offered. It will help you choose the mobile app development companies that can deliver skillets and agility.

How to Develop a Highly Engaging Ecommerce Store Using CakePHP

The world of eCommerce business is evolving at a rapid pace. Business owners can choose from various technologies to develop their online store.

However, with the availability of open source technology, CakePHP eCommerce development is on the rise.

With its robust features and flexibility, CakePHP stands out as a reliable framework for developing dynamic and efficient eCommerce websites.

In this guide, we’ll take you through the step-by-step process of developing eCommerce web apps using CakePHP framework.

CakePHP offers a well-structured and organized framework that streamlines development. It’s impressive how it balances ease of use with powerful features.”

                    Matt Mullenweg, Founder of WordPress

Why Developers Choose CakePHP for eCommerce Development?

Choosing the right framework for developing an eCommerce app is crucial for ensuring efficiency, scalability, and maintainability.

CakePHP is one of the best frameworks for eCommerce app development due to its numerous advantages and little disadvantages.

Here are the top 10 reasons to consider CakePHP for your eCommerce app:

  1. Rapid Development:

CakePHP follows the convention over configuration (CoC) principle, reducing the need for manual setup.

This accelerates development by providing pre-defined conventions and tools, enabling developers to focus on building features rather than writing boilerplate code.

  1. MVC Architecture:

CakePHP development facilitates Model-View-Controller (MVC) architecture which promotes a clear separation of concerns.

This allows CakePHP developers to work on different aspects of the app independently, enhancing code organization and maintainability.

  1. Code Reusability:

CakePHP emphasizes reusable components and plugins.

This is invaluable in eCommerce development, where features like shopping carts, payment gateways, and user authentication can be developed once and integrated across the app.

  1. Security Features:

CakePHP integrates security practices by default, helping to mitigate common vulnerabilities like SQL injection and cross-site scripting (XSS).

It also provides tools for handling input validation and form tampering protection.

  1. ORM and Database Abstraction:

CakePHP’s Object-Relational Mapping (ORM) system simplifies database interactions.

Developers work with PHP objects instead of SQL queries, reducing the risk of errors and improving code readability.

  1. Built-in Validation:

CakePHP application development facilitates built-in validation methods, making it easier to enforce data integrity and validate user inputs.

This is crucial for maintaining accurate product information and ensuring a smooth checkout process in an eCommerce app.

  1. Community and Documentation:

The framework boasts an active and supportive community.

The official documentation is comprehensive, making it easier to learn the framework, troubleshoot issues, and stay up-to-date with best practices.

  1. Plugin Ecosystem:

The CakePHP plugin ecosystem offers a wide range of ready-made solutions for common eCommerce functionalities.

This saves development time and effort by allowing you to integrate existing plugins for features like user management, payment gateways, and SEO optimization.

  1. Flexible Theming:

eCommerce apps require appealing and responsive designs.

CakePHP’s theming capabilities allow you to separate design and logic, making it easy to create visually engaging and user-friendly storefronts.

  1. Scalability and Performance:

Its well-structured architecture and caching mechanisms contribute to improved performance and scalability.

As your eCommerce app grows, CakePHP programmers help maintain a high level of performance without sacrificing user experience.

 “CakePHP has played a significant role in shaping modern PHP frameworks. Its conventions and code generation tools have been an inspiration for frameworks like Laravel.”

                                                                                                               Taylor Otwell, Creator of Laravel

Why Do Business Owners Choose CakePHP for eCommerce Development?

  1. Cost-Effective:

eCommerce Business owners appreciate CakePHP for its cost-effectiveness.

The framework’s open-source nature means that there are no licensing fees, making it a suitable choice for startups and small to medium-sized businesses.

Additionally, the rapid development capabilities enable CakePHP developers with shorter development cycles, reducing overall development costs.

  1. Providing Customized User Experience:

It empowers business owners to create a tailored user experience for their customers.

The framework’s flexibility allows developers to build customized features and functionalities that align with the business’s unique needs and latest ecommerce trends.

Whether it’s a dynamic product catalog, personalized recommendations, or interactive user interfaces, CakePHP programmers make it possible to craft a user-centric experience.

  1. Strong Security:

Security is paramount in today’s digital landscape, especially for businesses handling sensitive customer data.

CakePHP’s built-in security features, including input validation, data sanitization, and protection against common vulnerabilities like SQL injection and cross-site scripting (XSS), provide a strong foundation for developing secure eCommerce applications.

  1. Community Support:

The CakePHP community is vibrant and active, offering a wealth of resources and support to business owners and developers alike.

With an extensive documentation repository, forums, tutorials, and user-contributed plugins, business owners can tap into a network of expertise to troubleshoot issues, share insights, and continuously improve their applications.

  1. Analytics:

Business owners understand the importance of data-driven decision-making.

CakePHP’s integration capabilities with analytics tools enable businesses to gather valuable insights into user behavior, sales trends, and other key metrics.

By leveraging analytics, business owners can refine their strategies and optimize their web applications for better performance.

“CakePHP’s architecture promotes scalability and maintainability. It’s reassuring to see a framework that values clean code and sensible defaults.”

                                                                             Jeffrey Zeldman, Web Designer and Entrepreneur

What are the Modules to Include While Developing an eCommerce Store?

What are the modules to include while developing an eCommerce Store

(Image source: www.webmynesystems.com)

Let’s delve deeper into each of the modules to include in a CakePHP eCommerce development:

  1. Admin Panel:

The admin panel is the command center of your eCommerce site, where administrators and store managers control various aspects of the store’s operations.

Using CakePHP, you can create an admin panel that allows authorized users to perform tasks like managing products, orders, customers, and more.

Implement authentication and authorization to ensure only authorized personnel access the admin functionalities.

  1. Product Management:

Product management is essential for adding, editing, and updating the products available in your store’s inventory.

With CakePHP web app development, you can create a user-friendly interface in the admin panel that allows administrators to add new products, edit existing ones, set prices, add images, and manage product descriptions.

  1. Categories Management:

Categories help organize products and make navigation easier for customers. Using CakePHP, you can design a module that lets administrators create, edit, and delete product categories.

Each category can have a name, description, and possibly an image to visually represent it.

  1. Product Attributes:

Product attributes define specific characteristics of a product, such as size, colour, and material.

In CakePHP ecommerce development, you can develop a system where administrators can define attributes and values for each product, enhancing the customization options for customers.

  1. Retailers:

If your eCommerce store involves partnerships with retailers, you can develop a module to manage retailer information.

This could include retailer profiles, contact details, product distribution, and orders associated with specific retailers.

  1. Orders Management:

This module handles the processing of customer orders. Administrators can view, update, and fulfil orders using the admin panel.

CakePHP can help you create an intuitive order management system that provides real-time order tracking and communication with customers regarding their orders.

  1. Coupon Codes Facility:

Creating and managing coupon codes is a great way to offer discounts and promotions to customers.

Using CakePHP, you can build a coupon code management module that allows administrators to generate, set conditions for, and track the usage of coupon codes.

  1. Shipping Modules for Delivery Rates:

Developing a shipping module involves integrating with shipping carriers to calculate accurate shipping rates based on factors like destination, weight, and shipping method.

In CakePHP development, you can implement a shipping module that fetches real-time shipping rates from carriers’ APIs and presents them to customers during checkout.

  1. Customers Management:

This module deals with customer profiles and information.

Administrators can manage customer accounts, view their order history, update contact details, and address any customer inquiries or issues.

  1. General Enquiries Module:

For customer inquiries that don’t necessarily fall under orders or products, you can develop a module to handle general enquiries.

Customers can submit questions or concerns, and administrators can respond and manage these inquiries from the admin panel.

  1. User Management:

Apart from customers, your site might have different user roles like administrators, store managers, and customer support.

CakePHP development features authentication and authorization capabilities which allow developers to manage user roles and access permissions effectively.

  1. Front Store:

The front store is the public-facing part of your website where customers browse and shop for products.

Using CakePHP, you can create a visually appealing and user-friendly interface that showcases products, categories, and special offers.

  1. Products Display:

This module displays products on the front store, allowing customers to browse and search through the product catalog.

Implement pagination and filtering options to enhance the shopping experience.

  1. Product Detail Page:

When a customer selects a product, they’re directed to the product detail page.

This page provides in-depth information about the product, including images, descriptions, prices, attributes, and customer reviews.

  1. Shopping Cart Management:

The shopping cart module keeps track of the items customers have added for purchase.

With CakePHP, you can create a dynamic shopping cart that allows customers to add, remove, and update quantities of products before proceeding to checkout.

  1. Checkout:

The checkout module guides customers through the final steps of purchasing.

It collects shipping and billing information, offers shipping options, and presents the order summary before payment.

  1. Payment via PayPal:

CakePHP enables you to integrate payment gateways like PayPal.

The PayPal integration module handles secure payment processing, ensuring customer payment information is handled safely and transactions are completed seamlessly.

  1. Order Management:

On the customer side, order management lets users view their order history, track order statuses, and possibly request returns or refunds.

On the admin side, this module enables administrators to process orders, update statuses, and communicate with customers regarding their orders.

 

“As a developer, CakePHP has been a reliable tool for building robust applications quickly. The framework’s commitment to following best practices sets a high standard for PHP development.”

Rachel Andrew, Web Developer and Co-Founder of Perch CMS

What are the Challenges of Using CakePHP for eCommerce?

  1. Steep Learning Curve:

CakePHP development has a structured and convention-based approach, which can result in a steeper learning curve for developers who are new to the framework.

Learning and adhering to CakePHP’s conventions might take time initially, especially if developers are accustomed to different coding patterns.

  1. Limited Flexibility for Complex Customizations:

While CakePHP’s conventions can speed up development, they may limit flexibility when dealing with highly complex customizations.

In scenarios where unique and unconventional features are required, working within the framework’s conventions might become challenging.

  1. Performance Overhead:

While CakePHP offers caching mechanisms and performance optimization tools, some applications may experience performance overhead, especially under heavy loads.

Fine-tuning the application’s performance might require additional effort.

  1. Smaller Community Compared to Other Frameworks:

While the CakePHP community is active and supportive, it may not be as extensive as some other popular PHP frameworks.

This could mean that finding solutions to less common issues might take more time or rely more on self-guided exploration.

  1. Dependency on Updates:

Keeping the framework up-to-date is important for security and performance reasons.

However, updates to CakePHP might require adjustments to your application, particularly if it relies on certain features or plugins that have undergone changes.

What are the Steps to Develop eCommerce using CakePHP?

What are the Steps to Develop eCommerce using CakePHP

(Image source: www.iflair.com)

Step 1: Setting the Foundation

Environment Setup:
Ensure you have PHP and a web server (like Apache) installed on your machine. Additionally, download and install Composer, a PHP dependency manager, to easily integrate libraries and plugins.

CakePHP Installation:
Use Composer to install CakePHP by running the command composer create-project –prefer-dist cakephp/app my_store.

Step 2: Database Configuration

Database Creation:
Create a new database for your eCommerce store using tools like phpMyAdmin or the command line.

Configuration:
Configure your database settings in config/app.php under the ‘Datasources‘ array.

Creating Tables:
Use CakePHP’s powerful schema generation tools to create your database tables. Run the command bin/cake bake migration CreateProducts to create a migration file.
Modify the migration file to define your product fields, then run bin/cake migrations to apply the changes to the database.

Step 3: Designing Your Store

Layouts and Views:
CakePHP uses a template system that separates logic from presentation. Create layout templates and views for your store’s pages, like the homepage, product listing, and product details.

Adding Styles and Assets:
Integrate CSS frameworks like Bootstrap to enhance the visual appeal of your store. Utilize CakePHP’s asset management to efficiently load CSS, JavaScript, and image files.

Step 4: Implementing eCommerce Features

Adding Products:
Create a controller and views to handle product management. Use CakePHP’s FormHelper for creating forms to add new products.

Product Listing:
Display products dynamically using CakePHP’s query builder to retrieve data from the database. Implement pagination to manage large product catalogs.

Shopping Cart:
Build a shopping cart system using sessions or database storage to keep track of selected products. Allow users to add, remove, and adjust quantities of items in their cart.

Checkout Process:
Design a multi-step checkout process. Implement form validation and user authentication for a seamless purchasing experience.

Payment Integration:
Integrate payment gateways like PayPal or Stripe to securely process payments. Leverage CakePHP’s plugin ecosystem to simplify the integration process.

Step 5: User Management

User Registration and Login:
Create user authentication using CakePHP’s built-in tools or third-party plugins. Allow users to register accounts and log in securely.

Step 6: Security and Performance

Data Validation:
Utilize CakePHP’s validation features to ensure data integrity and prevent malicious input.

Security Measures:
Implement security best practices like CSRF protection, input sanitation, and secure authentication to safeguard user data.

Step 7: Testing and Deployment

Unit Testing:
CakePHP comes with testing tools. Write unit tests to ensure the functionality of your application.

Deployment:
Choose a reliable hosting provider and deploy your application. Configure your server to meet CakePHP’s requirements.

Cal Evans, PHP Community Advocate:

“CakePHP’s influence on the PHP community has been undeniable. It’s contributed to the advancement of PHP frameworks and has helped developers produce quality code.”

Top Things to Consider when Hiring CakePHP Developers for eCommerce Development

Expertise and Experience:

Look for a CakePHP development company with expertise in the framework particularly for eCommerce projects.

Review their portfolio to assess the complexity and quality of their previous work. Experience in creating custom eCommerce solutions is essential to ensure that your specific needs are met.

eCommerce Domain Knowledge:

An understanding of eCommerce nuances is vital.

Ensure that the CakePHP development agency is familiar with eCommerce processes such as product management, cart functionality, payment gateways, shipping, and order processing.

Their experience in developing user-friendly and conversion-focused eCommerce experiences is crucial.

Technical Proficiency:

Verify the company’s technical expertise in CakePHP, as well as other related technologies like HTML, CSS, JavaScript, and database management.

Their ability to integrate third-party APIs and tools, such as payment gateways and analytics, is also important.

Customization Capabilities:

eCommerce websites often require unique features. Assess the company’s ability to customize CakePHP applications according to your business requirements.

They should be able to strike a balance between using CakePHP’s conventions and implementing tailor-made solutions.

Security Practices:

Given that eCommerce sites handle sensitive customer data, security is paramount.

Inquire about the company’s approach to security, including measures to prevent vulnerabilities, protect customer information, and ensure compliance with data protection regulations.

Quality Assurance and Testing:

A reputable development company should have a rigorous quality assurance process in place.

Ask about their testing methodologies, including unit testing, integration testing, and user acceptance testing, to ensure a bug-free and reliable eCommerce application.

Communication and Collaboration:

Effective communication is key to a successful project.

Ensure that the company maintains open lines of communication and is responsive to your queries.

Look for their ability to collaborate with your team, share progress updates, and discuss project milestones.

Scalability and Performance:

As your eCommerce business grows, your website needs to scale efficiently.

Discuss the company’s approach to ensuring optimal performance, handling increased traffic, and maintaining a seamless user experience as your store expands.

Project Management and Timeline:

A well-organized project management approach is crucial for meeting deadlines.

Understand how the CakePHP development company plans and manages projects, including how they handle milestones, iterations, and client feedback.

Post-Launch Support and Maintenance:

A reliable CakePHP development company should provide ongoing support after the project’s launch.

Inquire about their post-launch services, including bug fixes, updates, and technical support.

Client References and Testimonials:

Request references from previous clients and read testimonials to gain insights into the company’s work ethics, communication, and the overall client experience.

Cost and Budget Alignment:

While cost should not be the sole factor, ensure that the company’s pricing aligns with your budget.

Discuss the project scope, pricing structure, and any potential additional costs.

Phil Sturgeon, API Design Expert and Developer Advocate:

“CakePHP has continuously evolved to meet the demands of modern web development. Its focus on conventions and reusability has made it a favorite among developers.”

Who are the top 5 CakePHP Development Companies in the World?

Andolasoft:

Andolasoft Logo

Andolasoft is a software development company known for its expertise in CakePHP eCommerce development.

Apart from CakePHP the company offers web, mobile and cloud development services using a wide range of technologies.

The company has technology expertise on PHP, Python, Laravel, NodeJS, Ruby on Rails, VueJS, ReactJS, AngularJS, JavaScript etc.

With a focus on innovation and client satisfaction, Andolasoft has delivered solutions across various industries, helping businesses achieve their digital goals.

Top CakePHP Development Services Offered by Andolasoft

  • CakePHP eCommerce development services
  • CakePHP template design services
  • CakePHP CMS development services
  • CakePHP migration services
  • CakePHP plugin development services
  • CakePHP custom website development services
  • CakePHP maintenance and support services

Top 3 CakePHP Projects Developed by Andolasoft

  • D&B Auto Rental

D&B Auto Rental

Technologies used – PHP 5.6, Apache, jQuery, jQuery UI, AWS, Bootstrap

The web app is developed to provide reliable car rental services. It is designed with a focus on customer experience, intuitive interface and easy data handling.

  • In4Mng

In4Mng

Technologies used – PHP, jQuery, jQuery UI, Bootstrap

Are you looking for a CakePHP developer

Contact Us

In4Mng is an entertainment application which is based in Nigeria. The app aggregates content from both print and electronic media into a single platform. The app adds additional content such as giveaways, games and puzzles to make information engaging and interesting to consume.

Orangescrum Logo

Technologies used – CakePHP, jQuery, jQuery UI, DataTables, Bootstrap

Orangescrum is a versatile project management software designed to streamline project planning, execution, and collaboration for individuals and teams. It offers a comprehensive set of tools and features to help businesses manage tasks, track progress, and achieve project goals efficiently.

  • Orases:

Orases is a full-service digital agency that specializes in CakePHP development.

They provide end-to-end solutions, including web and mobile app development, UI/UX design, and digital marketing.

With a commitment to delivering exceptional user experiences and innovative solutions, Orases has established a reputation for helping businesses thrive in the digital landscape.

Hyperlink InfoSystem:

Hyperlink InfoSystem

Hyperlink InfoSystem is a global technology solutions provider offering CakePHP development among its array of services.

They have a vast portfolio of successful projects spanning web and mobile apps, blockchain, IoT, and more.

With a global clientele, Hyperlink InfoSystem is recognized for its technical expertise and dedication to delivering cutting-edge solutions.

DotSquares:

DotSquares

DotSquares is a technology company that offers a comprehensive suite of services, including CakePHP development.

With a focus on delivering tailored solutions to meet client objectives, they have worked on diverse projects ranging from eCommerce platforms to business applications.

DotSquares has a global presence and a track record of delivering high-quality software solutions.

illuminz:

illuminz

illuminz is a software development agency with a strong focus on CakePHP development.

They provide end-to-end solutions including web and mobile app development, UI/UX design, and digital marketing services.

With a commitment to delivering scalable and innovative solutions, illuminz collaborates with businesses to bring their visions to life in the digital realm.

What are top questions to ask a CakePHP development company before hiring?

  1. What is your experience with CakePHP development?

Ask about the company’s experience specifically with CakePHP projects. Inquire about their past projects, complexities they’ve handled, and the size of the eCommerce platforms they’ve developed.

  1. Can you provide references or case studies from previous CakePHP projects?

Request references or case studies from clients who have hired the company for CakePHP development. This can give you insights into their work quality, reliability, and client satisfaction.

  1. How do you approach security in CakePHP development for eCommerce applications?

Security is critical in eCommerce. Ask about their practices for securing sensitive customer data, implementing encryption, preventing SQL injection, and handling payment information securely.

  1. What testing procedures do you follow to ensure the quality of CakePHP projects?

Testing is crucial to deliver a bug-free application. Ask about their testing practices, including unit testing, integration testing, and user acceptance testing, to ensure the final product meets your expectations.

  1. How do you handle post-launch support and maintenance?

An eCommerce site requires ongoing support to address issues, implement updates, and ensure smooth operations. Discuss their approach to post-launch support and the availability of maintenance services.

  1. What happens in case of scope changes or unexpected challenges during development?

Projects can encounter changes or challenges. Ask how they handle scope changes and unexpected issues, and how they communicate such matters to you.

  1. What differentiates you from other CakePHP development companies?

This question can help you understand the company’s unique strengths, values, and offerings that set them apart in the market.

Conclusion

eCommerce business owners choose CakePHP for its cost-effectiveness, ability to provide customized user experiences, strong security features, community support, and integration capabilities with analytics tools.

This framework empowers business owners to develop eCommerce applications that not only meet their specific needs but also provide a competitive edge in the digital market.

By harnessing the benefits of CakePHP, businesses can create scalable, secure, and engaging eCommerce apps that resonate with their target audience and drive success.

FAQs

Q1: How can you implement personalized shopping experiences using CakePHP?

Utilize CakePHP’s session management and user authentication to track customer behavior and preferences.

Based on this data, one can implement personalized product recommendations, wish lists, and targeted promotions, enhancing the overall shopping experience.

Q3: What are some strategies for integrating popular payment gateways into a CakePHP eCommerce application?

Integrating payment gateways like PayPal, Stripe, or Square involves utilizing their APIs within the CakePHP eCommerce application.

You can create dedicated components or plugins to handle payment processing, ensuring that sensitive financial information is securely transmitted and stored.

Q4: What are the key features of CakePHP that make it suitable for eCommerce development?

CakePHP offers features like MVC architecture, ORM (Object-Relational Mapping), built-in security features, CRUD (Create, Read, Update, Delete) operations, scaffolding, and data validation. These features streamline eCommerce development by providing a solid foundation and reducing manual coding efforts.

How To Integrate JWT in Python Django REST Framework?

Django REST Framework is one of the most popular Django web frameworks that has been used to build many successful projects. It provides a simple and easy-to-use interface for designing APIs and JSON web services, which is quite popular among startups. When working with the REST framework in Python, there are a few ways you can implement the JSON Web Token (JWT) type of authentication.

What Is JWT?

JWT is an encoded JSON string that is passed in headers to authenticate requests. It is usually obtained by hashing JSON data with a secret key. This means that the server doesn’t need to query the database every time to retrieve the user associated with a given token.

How JSON Web Tokens Work

When a user successfully logs in using their credentials, a JSON Web Token is obtained and saved in local storage. Whenever the user wants to access a protected URL, the token is sent in the header of the request. The server then checks for a valid JWT in the Authorization header, and if found, the user will be allowed access.

A typical content header will look like this:

[code language=”css”]
Authorization: Bearer gdh676hghu
[/code]

Work Flow of JWT

JWT Diagram

Advantages of JWT

  • No Session to Manage (stateless)
  • Portable
  • No Cookies Required, So It’s Very Mobile Friendly
  • Good Performance
  • JWT helps in securing APIs

Django REST Framework

Django REST framework (DRF) is an open source, mature and well supported Python/Django library that aims at building sophisticated web APIs. It is a flexible and fully-featured toolkit with modular and customizable architecture that makes possible development of both simple, turn-key API endpoints and complicated REST constructs.

Main Advantages of Django REST framework

  • Simplicity, flexibility, quality, and test coverage of source code.
  • Powerful serialization engine compatible with both ORM and non-ORM data sources.
  • Pluggable and easy to customize emitters, parsers, validators and authenticators.
  • Generic classes for CRUD operations.
  • Clean, simple, views for Resources, using Django’s new class based views.
  • Support for Model Resources with out-of-the-box default implementations and input validation (optional support for forms as input validation).
  • HTTP response handling, content type negotiation using HTTP Accept headers.

Implementing JWT in Django REST Framework

Django REST Framework comes with various default Authentication Classes. Basic Authentication, Session Authentication, and Token Authentication to name a few.

Token-based authentication is the most preferred method of implementing authentication in modern APIs. In this mechanism, the server generates a token for the authenticated user and the user has to send the token along with all the HTTP requests to identify themselves.

Install DRF and Django-rest-framework-jwt using pip

[code language=”css”]
pip install djangorestframework

pip install djangorestframework-jwt

pip install django
[/code]

In order to use JWT, we need to configure Django-rest-framework permissions to accept JSON Web Tokens.

In the settings.py file, add the following configurations:

[code language=”css”]
REST_FRAMEWORK = {

‘DEFAULT_AUTHENTICATION_CLASSES’: (

‘rest_framework_jwt.authentication.JSONWebTokenAuthentication’,

),

}
[/code]

Now add JWT API endpoint to the settings.py file as below

[code language=”css”]
from django.urls import path, include

from rest_framework_simplejwt import views as jwt_views

 

urlpatterns = [

path(‘api/token/’,

jwt_views.TokenObtainPairView.as_view(),

name =’token_obtain_pair’),

path(‘api/token/refresh/’,

jwt_views.TokenRefreshView.as_view(),

name =’token_refresh’),

path(”, include(‘app.urls’)),

]
[/code]

The above endpoint will be used to generate and refresh the JWT token on every API call.

We will make use of the Django-REST Framework JWT Python module we installed at the beginning of this tutorial. It adds JWT authentication support for Django Rest Framework apps.

Let’s define some configuration parameters for our tokens and how they are generated in the settings.py file.

[code language=”css”]
import datetime

JWT_AUTH = {

 

‘JWT_VERIFY’: True,

‘JWT_VERIFY_EXPIRATION’: True,

‘JWT_EXPIRATION_DELTA’: datetime.timedelta(seconds=3000),

‘JWT_AUTH_HEADER_PREFIX’: ‘Bearer’,

}
[/code]

  • JWT_VERIFY: It will raise a jwt. Decode Error if the secret is wrong.
  • JWT_VERIFY_EXPIRATION: Sets the expiration to True, meaning Tokens will expire after a period of time. The default time is five minutes.
  • JWT_AUTH_HEADER_PREFIX: The Authorization header value prefix that is required to be sent together with the token. We have set it as Bearer, and the default is JWT

Now you can use the JWT payload in your authentication method. Go to the views.py file and add the following code

[code language=”css”]
def authenticate_user(request):

email = request.data[’email’]

password = request.data[‘password’]

 

user = User.objects.get(email=email, password=password)

if user:

payload = jwt_payload_handler(user)

token = jwt.encode(payload, settings.SECRET_KEY)

user_details = {}

user_details[‘name’] = "%s %s" % ( user.first_name, user.last_name)

user_details[‘token’] = token

user_logged_in.send(sender=user.__class__,request=request, user=user)

return Response(user_details, status=status.HTTP_200_OK)

[/code]

Every time the user wants to make an API request, they have to send the token in auth Headers in order to authenticate the request. You can test the API endpoint using Postman or any other API testing tools.

You can check the JWT token by using any of the PI test tools like Postman. Below is the screenshot of using postman to call the JWT API

JWTYou can find out the source code for the demo project here at Github

Conclusion

JWTs are the best way to securely exchange information between front-end and backend because they can be signed, which means we can be sure that the senders are who they say they are. The structure of a JWT allows us to verify that the content hasn’t been tampered with.

JWT makes the process of user authentication on the web much easier, providing a simpler way to exchange information between a server and a client.

The Django REST Framework is a RESTful framework for developing Django applications. It provides a high-level view on how to develop RESTful web services in Django.

Programming Languages Trends in 2021: The Future of Tech

2020 has been a substantial year for the software development industry and programmers, with numerous discoveries in a variety of fields. Because of the global pandemic, digitization has accelerated dramatically, so the trends we will be discussing today will be much larger than the previous year.

The development of software and web applications is becoming an essential part of today’s business, and developers or designers have become an essential part of the enterprise, assisting enterprises to come up with new ideas, spring up, and continue to flourish.

We’re already eight months into 2021, and it’s transparent that a developer with lopping skills will continue to stay at the top of the corporate ladder.

So, in this article, the main concentration will be on technology trends and planning for programmers in 2021. All of the fads discussed will be supported by facts, figures, and data from reliable sources in order to provide accurate information.

Top 8 Programming Languages to Learn This Year

Aren’t you all excited to know what awaits the technical industry this year and obviously in the near future. Making a tech stack decision for your software application? To start the New Year, you must be eager to see what changes will occur.

Making a tech stack decision for your software application? To start the New Year, we are all eager to see what changes will occur. Check out some of the latest technologies that are expected to gain popularity in both present and future.

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1. Python

This is the oldest programming language that was created back then in the 1980s by Guido van Rossum. Though it was a much backdated program, it’s functioning was great as a general-purpose performing language. Basically, Guido took the initiative to combine the most popular features of ABC and syntax to create a whole new scripting language that could resolve almost all issues.

In fact, the popularity of Python has resulted in the introduction of the latest trends in programming languages. The reason behind the popularity of Python nowadays is its simplicity, effectiveness and versatility to promote rapid growth. In fact, this is the top class web programming language that is one of the best opportunities for data science, machine learning and Internet of Things that have grown popular recently.

2. Kotlin

Kotlin was introduced in 2011 by JetBrains. When building tools for developers and project managers, the company used Java in its previous incarnation. JetBrains’ team, on the other hand, found that doing a lot of repetitive work was a real challenge. Scala, Clojure, and Groovy were used for a period of time by them. This was due to the fact that these programming languages were unable to meet all of their needs. A language was created with all the features they needed by the JetBrains team as a result.

Officially, Kotlin 1.0 was released in 2016. In recent years, it has been the fastest-growing programming language, according to the latest trends in programming languages. Kotlin was declared the preferred technology for Android developers by Google in 2019.

3. Scala

Scala was created by Martin Odersky in 2001. According to one of his interviews, the idea was to combine functional programming with object-oriented programming (OO programming). The creators of Scala, like other programming languages, had a specific purpose in mind. The goal, according to Odersky, was to provide component software with more advanced language support.

Scala has become one of the hottest programming language trends in recent years. Due to the fact that this programming language, along with Perl, has the highest salary worldwide, this is understandable. Among the hottest trends in programming languages is the demand for Scala developers. Due to the fact that this programming language, along with Perl, has the highest salary worldwide, this is understandable.

4. JavaScript

In 1995, while working at Netscape Communications, Brandan Eich developed JavaScript. Netscape Navigator was the first popular web browser launched by this computer services company at that time. A programming language was needed for this browser, and that was Eich’s job to do.

When JavaScript was first developed, it was called Mocha. When Netscape and Sun merged, JavaScript was born out of this combination. JavaScript’s popularity cannot be disputed. Stack Overflow’s survey of programming language trends confirms the above. Professional developers use JavaScript the most.

5. Swift

As a member of the Apple developer community, Chris Lattner began working on Swift in 2010. New programming languages draw their inspiration from a number of technologies. C#, Objective-C, Ruby, Python, Rust, and Python are among them. It comprises great typing and error handling features that helps in avoiding major errors and crash codes.

Quickly replacing Objective-C with Swift is one of the goals of this new programming language. Since the 1980s, there have been no significant changes to this programming language. As a result, it was devoid of modern functionality and was outdated. According to Stack Overflow’s most recent programming language trends, Objective-C is one of the most feared languages.

6. Go

Procedural programming language Go was introduced in 2007. Three Google developers came up with the idea for the app: Robe Pike, Ken Thompson and Robert Griesemer. Go was designed to increase the productivity and scalability of Google’s software development efforts.

In 2009, Go was re-released as an open-source project by its developers.

Report on programming language trends has been released by hacker ranking service HackerRank.

In their study, developers ranked Go as the top scripting language they seek to study. Mic Wlodkowski, Senior Front-End Developer at ContextFlow, explains why he thinks this programming language is becoming more popular. Go, he says, is capable of multi threading and concurrency, and he explains how. Using these concepts, developers can create apps quickly and easily with simple coding techniques.

7. Java

James Gosling invented Java in 1995. In the beginning, it was intended for use with different tv systems. At the time, the technology, however, was deemed to be too advanced, so it was reused for internet programming. The best part about Java is that it can be run on any computer without any support of any kind of virtual machine.

Moreover, you can also run multiple threads at a time on your computer with the help of Java. If you run multiple threads independently with each other then they will eventually contribute to efficient application performance.

It efficiently distributed computing and allows few computers to work on a single network together. But this cannot be denied that Java is slower when it comes to its performance and you won’t even get any backup facility as it mainly operates on storage.

8. Ruby

Midway through the 1990s, Yukihiro Matsumoto created Ruby. A programming language that would increase developer productivity was his idea. Finally, now comes the last programming language that is Ruby. Ruby on Rails is a technology that we could not ignore as a Ruby and Ruby on Rails Development Company.

The best part about this programming language is that it has the ability to extend the functionality that already exists in the form of gems. In fact, Ruby is considered the best due to its simplicity and readability. You won’t face any type of issue with the understanding of its codes.

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Conclusion

It seems like the future of software development is bright. There is a huge variety of top computer languages for any software development project, according to current trends in programming language usage.

Your final decision will be based on the type of application you plan to build and your business’s specific needs. These are the top scripting language trends that you should be aware of.

Clearly, there are many technologies that can be used for virtually any type of web project. Make the right choice by defining the type of application you want to establish and your business requirements.