Tag: Python developer

A Complete Guide to Usage of Python in Application Development

Posted on by Jay

Python, an open-source programming language, is widely utilized in various domains such as data science, machine learning, web development, application development, Fintech, and more.

Python application development in particular, is highly sought-after for the creation of web and mobile apps.

According to StackOverflow, Python is the fastest-growing programming language and the top choice among developers.

In fact, nearly 2% of all websites on the internet utilize Python as their server-side programming language.

Python was initially developed by Guido Van Rossum in the late 80s, and since then, its popularity has continued to soar.

If you’re interested in Python, understanding its usage in web and mobile technologies is crucial.

What is Python?

Python is a versatile general-purpose programming language that goes beyond web development. Unlike HTML, CSS, and JavaScript, Python can be used for other types of software development as well.

Python finds its application in various areas, including:

  • Server-side web and mobile app development
  • Desktop app and software development
  • Processing big data and other mathematical calculation
  • Writing system scripts

Python is highly sought after for two main reasons: its ability to handle a wide range of tasks and its beginner-friendly nature. 

Python boasts a simple syntax that makes it accessible to anyone looking to learn and get started with programming.

Python application development included but not limited to web app development, mobile app development, data science, machine learning, artificial intelligence, wearable OS development, business intelligence and more.

Top 7 Python Programming Language Usage

Top 7 Python Programming Language Usage

(Source: statista.com)

  1. Application of Python in Data Science

Today’s most talked about usage in Python is in data science. It is a process of extracting information and insights from data which includes Machine Learning, Data Visualization and Data Analysis.

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Machine Learning is the application of Artificial Intelligence (AI) where machines are programmed to learn without having to program what to do. It enables computers to program themselves.

A good example of ML algorithms include the video suggestions and recommendations you get from applications such as YouTube and NetFlix.

  1. Why Python for machine learning and artificial intelligence

Why Python for machine learning and artificial intelligence

Since the inception of Python it has been used for scientific and numerical computing. Moreover, because ML is basically numerical computing, Python is extremely useful for ML.

With the introduction of technologies and frameworks like Tensorflow by Google, Python has become the de-facto language for ML applications. Pytorch – another deep learning platform started by Facebook has also gained popularity.

Python comes bundled with scikit-learn which is a simple and easy-to-use ML package enabling developers to get started on Machine Learning pretty  easily.

Additionally, Python comes with scikit-learn, a simple and easy to use ML package that can get you started very easily in Machine Learning. You can see the increase of popularity in these ML platforms in the graph below.

     3. Python for Data Visualization

Python is widely used for data visualization and data analysis. With the exponential growth of data generated on the internet (2.5 quintillion bytes daily), data analysis becomes crucial for businesses to effectively harness this vast amount of information.

Data visualization plays a vital role in helping companies make sense of large datasets.

By visually representing data, businesses and researchers can identify patterns and forecast the future impact of those patterns.

Rather than presenting raw numbers on a table, visualizations make data more meaningful and impactful. 

Libraries such as matplotlib and seaborn simplify the process of creating bar graphs, distribution maps, and heat maps, allowing users to derive valuable insights with just a few lines of code.

     4. Python for web development

Web development includes activities such as creating websites and web-based software applications.

It consists of two main components: the client-side, which runs code on the browser, and the server-side, which processes logic and interacts with databases and other servers.

While JavaScript is a popular choice for client-side development, Python shines on the server-side. 

Python web frameworks like Django and Flask enable efficient development of dynamic web applications without the need to learn a client-side language like JavaScript.

Python web frameworks, such as Django Rest Framework, significantly reduce development time by automating common web development tasks. Its ease of use makes it a preferred choice among tech enthusiasts.

     5. Python for Application Development

Python offers several advantages for application development, including reduced development time and effort. 

It is ideal for prototyping due to its robustness, scalability, speed, and versatility, making it suitable for both small-scale and enterprise-level projects.

According to a research by iDataLabs – 69% of companies that use Python are small (<$50M in revenue), 9% are medium-sized ($50M – $1000M in revenue) and 16% are large (>$1000M in revenue).

Python provides a database API that simplifies connections to databases like MySQL, Oracle, and PostgreSQL. 

Its ability to interface with languages such as C and Java allows developers to leverage functionality from other programming languages in Python applications.

Python is often likened to building blocks that can be combined to create new applications. By carefully selecting and integrating these blocks or modules, developers can create applications more efficiently. 

Additionally, Python’s open-source nature enables developers to contribute new packages to solve problems and share them with the community.

     6. Python for automation scripts

Python excels in scripting, allowing developers to write small programs that perform multiple tasks automatically. 

It is ideal for such purposes as it emphasizes quick and easy coding. Web scraping, for instance, is a popular use case of Python scripting. 

It involves parsing websites and extracting relevant data, which can then be stored in formats like CSV for further analysis using machine learning algorithms.

    7. Python in Fintech

Financial technology or Fintech, is a technology that automates and improves the delivery of financial services. 

This includes online banking, stock market trading, online transactions, and bitcoin transactions using blockchain applications.

Fintech is utilized in various finance-related sectors such as investment, portfolio management, banking, education, and fundraising.

According to a survey by HackerRank – Python is among the top three most popular languages used in financial services companies and one of the top languages in FinTech.

Python’s ease of use and modular nature makes it the perfect programming language for Fintech.

It is also an ideal choice of programming language for fintech because it can be employed for machine learning and data science libraries and capabilities.

For example, using machine learning to automatically detect fraud through payment history can save companies millions of dollars. 

That’s why top financial institutions like Stripe, Revolut, and Robinhood incorporate Python in their software development.

Furthermore, Python finds application not only in Fintech but also in other industries such as game development, GUI application development, networking, testing, robotics, and embedded applications.

Advantages of Python Programming Language

  • Easy to Learn and Write:

Python is a high-level programming language with a syntax that resembles natural language. This makes Python easier to read and understand, requiring fewer lines of code compared to other languages like C/C++ and Java.

  • Improved Productivity:

The simplicity of Python allows developers to focus more on problem-solving rather than spending time understanding complex syntax. This leads to writing less code and achieving higher productivity, as well as faster debugging.

  • Interpreted Language:

Python is an interpreted language, executing the code line by line. It stops execution and reports errors if any are encountered. Debugging becomes easier as Python provides feedback on the first encountered error, even if multiple errors exist.

  • Typed Dynamically:

Python doesn’t know the type of variable until the code is run. It automatically assigns the data type during execution. Python application developers don’t need to worry about declaring variables and their data types.

  • Free and Open-Source:

Python is free to use and distribute due to its open-source license. Users can modify the source code and distribute their own versions of the Python programming language.

  • Vast Libraries:

The Python library is huge where you can find almost all the functions you need to perform coding tasks. Python application developers don’t have to depend on external libraries.

If you intend to use an external library you can use Python package manager (pip) which makes it easier to import other packages from Python package index (PyPi) which consists of over 2 million packages.

  • Portability:

In other languages such as C and C++, you need to change the code each time you run on different platforms but with Python you can write it once and run it anywhere.

Disadvantages of Python Programming Language

  • Slower Speed:

As mentioned above, Python’s nature as an interpreted language means that it executes each line of code sequentially, resulting in slower execution.

The dynamic nature of Python is also responsible for the slow speed of Python because it has to do extra work while executing the code.

  • Python is not Memory Efficient:

Python’s usage of memory for storage and execution is significantly higher than that of other programming languages, which renders it unsuitable for constructing applications that require memory optimization.

  • Inefficient Mobile Computing:

Python is typically used in server-side programming. Because Python is not memory efficient and has a slow processing power it is not the most suitable application development technology for mobile app development.

  • Database Access:

Python application development is stress-free but interacting with databases is slower because Python databases are still slower and somewhat outdated compared to other popular technologies.

What Makes Python Suitable for Mobile Application Development?

As mentioned above, developers can use Python to create mobile applications as well. In this section we will explore the possibility of using Python for mobile app development.

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Python was not commonly employed for mobile app development because iOS and Android do not support interpreter languages.

But today, with the emergence of several frameworks such as Python GUI frameworks Python can be used to develop apps for Android and iOS devices.

Types of Apps You Can Develop Using Python

  • Audio-Video Apps:

Using Python libraries such as OpenCV and PyDub Python app developers can create music and video-playback and streaming applications for mobile phones.

  • Game App Development:

Using Pygame python app development companies can quickly create game prototypes and test them in real-time. Some of the most popular games such as “Battlefield 2”, “EVE Online” and “World of Tanks” are developed using Python programming language.

  • Blockchain Application:

Since the inception of blockchain it has become one of the most widely used technology trends. It is difficult for developers to create blockchain applications but Python makes it easier.

Python developers use frameworks such as Flask to create endpoints for various features of blockchain.

  • Machine learning apps:

Machine learning is yet another technology that has emerged in the past decade. It is an algorithmic technology which provides data for intelligent decision making. Python offers free libraries such as Pandas and Scikit to develop ML apps with ease.

Wrapping Up!

Python has emerged as a versatile programming language; its ease-of-follow syntax and wide range of applications has made it one of the most sought after programming languages by developers.

Python today has numerous resources and tools which makes python app development even more developer-friendly.

If you are planning to develop mobile apps using Python you can leverage its ease-of-use, diversity and flexibility for various mobile and web app development faster than any other programming languages.

FAQ:

  • Can Python be used for mobile app development?

Yes, Python can be used for mobile app development. Platforms like Kivy, BeeWare, and Pygame enable cross-platform mobile app development. Python’s ease of use and rich library support make it a viable choice for mobile applications.

  • What role does Python play in data-driven applications and machine learning development?

Python plays a crucial role in data-driven applications and machine learning development. Its extensive libraries like Pandas, NumPy, and scikit-learn enable data manipulation, analysis, and building machine learning models, making it a preferred language for data scientists and AI developers.

  • Can Python be used for developing enterprise-level applications with high scalability and performance?

Python is suitable for developing enterprise-level applications with high scalability and performance. Frameworks like Django and Flask provide robust web development capabilities. Python’s asynchronous programming features in libraries like asyncio enhance application performance.

  • Are there any specific industries or sectors where Python is particularly prevalent in application development?

Python’s versatility and ease of use have made it prevalent in various industries and sectors. It is commonly used in web development, scientific research, data analysis, artificial intelligence, finance, and automation, among others.

  • How does Python facilitate rapid prototyping and agile development practices?

Python’s concise syntax and extensive libraries accelerate the development process, making it ideal for rapid prototyping and agile development. Its readable codebase and shorter development cycles allow developers to iterate quickly, adapt to changes, and deliver projects efficiently.

How Good Is Python For Web Application Development?

Posted on by Jay

We all are aware about the usage of smartphones in our daily life. According to the journal of accountancy, we check our phones on an average for  86 times a day, at least for the millennial, for the rest of the population it varies. It is only because we are very much addicted to it.

Planning to develop your mobile application or website using python, but don’t have the idea about Which programming language is used to develop the application

Don’t worry we are here to help you.

We will guide you to choose the best language to use in order to develop your application.

App development using Python, will help you to develop an application that is adaptable, ubiquitous and reliable.

Python is a general coding language which implies not like HTML, CSS, and JavaScript but it may be used for different varieties of programming and package development besides web development.

Python is an object oriented, interpreted and high level programming language. It is a candid and easy to learn programming language which emphasizes the readability and reduces the application maintenance price.

With Python

It consists wide selection of modules and packages that permits program modularity and code employ.

Python Language(Source: Zibtek)

  • Python is an object oriented, high-level programming language, which implies it consist of words and phrases intelligible to humans. To translate this application-oriented language into machine code, Python uses an interpreter. The work of an interpreter is to convert the source code into code understood by all computers. As an interpreted language, Python uses memory with efficiency, that is simple to rectify, and permits developers to perform advanced tasks in an exceedingly few steps and edit code quickly.
  • Most up-to-date programming languages, together with Python, are considered object-oriented. The thought behind object-oriented languages is that the program is split into freelance objects that communicate between themselves. This gorgeous a lot of appears like a set of mini-programs.

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  • Python is a dynamic language. This implies that developers ought not to declare variable sorts. Python verifies sorts and errors at runtime (when the program is launched), however not throughout compilation (when ASCII text file is regenerate to machine code). This ends up in less code, quicker development, and bigger flexibility and resilience.
  • Develop Prototypes:As the Python web programming language is easy to access. This ensures that the program will work properly. You can create prototypes, so you can easily test the code with the use of python.
  • Python is known as an easily readable language. Its info is visually tidy, and it usually uses English keywords wherever different languages use punctuation. Unlike several different languages, it doesn’t use wavy brackets to delimit blocks, and semicolons once statements. Basic ideas of Python Indentation Many of the programming languages use brackets to outline their code block, however Python’s interpreter uses indentation method to outline the code blocks.

Why Python is Popular?

Above all python is one of the most popular programming language from long decades because of its high scalability and productive than other object oriented programming languages like C++ and Java.

Python Popularity(Source: Directlinkdev)

According to a review by stack overflow’s 2018 developer it was discovered that Python is the most adopted framework. More than 122,864 sites online are developed using this android language.

Python Use(Source – directlinedev.com)

The code syntaxes are very simple and easy to learn by the developers. Also it uses English commands that makes it more efficient and easier to understand.

For example, take a look at the code you’d use to print the text “Hello World” on your screen using the programming language Java:

[code language=”css”]

Class hello world {

Public static void main (String [] args) {

System.out.println ("Hello World")

}

}

[/code]

That’s a lot of code for such a simple function.

Now take a look at the same exercise written in Python code:

Print (“Hello World”)

Like other programming languages Python also provides a way to handle the error exception using try, except syntaxes

Try:

[code language=”css”]

a = int (input ("Enter a:"))

b = int (input ("Enter b:"))

c = a/b

[/code]

Print(c)

Except:

Print (“Can’t divide with zero”)

# Example 2

try:

#this will throw an exception if the file doesn’t exist.

Basic Concepts of Python

1. Indentation

Many of the programming languages use brackets to define their code block, but Python’s interpreter uses indentation process to define the code blocks. So the developers have to be very careful with the white spaces in their code base which can break the application.

2. Semicolons

Python programming language is not using semicolon to end the line. A new code line is enough to detect a new code syntax.

3. Variables

Python uses variables to store data such as string, number and other information’s for manipulation work.

4. Operators

Operators are used in values or variables to perform certain logic and mathematical operations

Python Framework:

Also, Python is in extreme demand in diverse industries. Like the database, machine learning, databases, design, data analysis, web page readability/testing, application development using Python language.

The platform is mostly utilized for data analysis, DevOps tasks and web development.

If you are choosing Python in web development, then you are coming across the variety of Python frameworks that empower the developers to get more with less coding. Some of these frameworks are:

  • Django: It has got it’s first place because of its nature being an open-source Python Platform. This technology is effective to develop complex data driven sites. This platform is advanced and has many matured attributes that includes templates, libraries, and API which support the development of scalable web development in python projects.
  •  Turbo gears:Turbo Gear is a top web application development platform. It comprises web server Gateway interface  elements, includes SQL Alchemy, Webob, Repoze and more. Like Ruby on Rails, TurbpoGears works well with MVC architecture which supports rapid web application development using Python.
  • Numpy: Numpy numeric python is the library which assists to perform logical and scientific activity on arrays. The library is involved with multidimensional arrays of objects. It also consists of several collections of routines used for processing the arrays.
  • Panda: It is a BSZ authorized , Open Source Python library that provides many simple to use data structures along with the data analytics tools to the Python developers. These technologies are mostly used for commercial and academic domains along with analytics, finance, economic and statistics, etc.

Why is Python good for web development?

Python continues to be one of the most popular languages from many years. According to TIOBE, Python is ranked among the top programming languages. Built With states that there are almost a million websites that use Python.

Programing Language(Source: tiobe.com)

Python is valued equally among startups such as Finance Strategists, mid-size companies such as EP Wealth, blue chip companies like Google, Quora, Netflix, and Spotify, and government organizations like NASA. Yet few people know why Python is one of the top programming languages for website development. So why has it gained great popularity and interest among startup founders?

Here’s what the Python Software Foundation says:

1. Powerful and quick

Python is powerful, and it may be used for virtually something. Initial and foremost, it may be used for all the world as a result of it offers several options by default, with normal libraries that cowl nearly any programming task.

2. Plays well with others

Python is purposeful enough to interface with code written in different programming languages. You’ll imbed your Python project into frameworks of various languages, and the other way around. This implies that you just will produce comes that blend Python with different programming languages (for example, C++) and acquire the most effective of 2 worlds.

3. Runs everywhere

Python is available for almost any operating system, including UNIX-based operating systems, Windows, mac OS, iOS, and Android. It also runs on various platforms, including IBM, AIX, Solaris, and VMS.

4. Friendly and easy to learn

Python is considered a highly effective way of coding because of its simple syntax and readability. Python is an easy-to-learn language, and thus there’s a large enough talent pool.

5. Open Source

Python is an open-source language administered and supported by an independent nonprofit foundation: the Python Software Foundation. One of the major advantages of open-source software is that it’s free to use, modify, and distribute.

Who uses Python?

Python is a multi-purpose language and can be used to build practically anything. Companies around the world use Python for artificial intelligence and machine learning, website development, scientific and numerical computing, gaming, and many other uses.

As for artificial intelligence, Python stands above other programming languages and is considered the best programming language for AI-powered applications.

Companies like Google, Facebook, and Dropbox tare using Python in one form or another for its flexibility, scalability, performance, and rapid development.

Python(Source- directlinedev.com)

Alternatives to Python

Python is often compared to other programming languages. Below, we briefly compare the most common alternatives to Python: Java, PHP, and Ruby.

Languages

FAQS

What makes python good?

Python is a high level programming language comes with a variety of standard library that covers many areas such as string processing, internet protocols and operating system interfaces.

Should I use Python 2 or Python 3?

Python has many versions but the main comparison is Python 2 and Python 3. Initially Python 3 was released December 2008 in order to rectify some fundamental flaws from Python 2.

The feature of Python 3 was “reduce feature duplication by removing old ways of doing things.”

What are the best Python IDEs?

There are many IDEs available in market but we are looking for an IDE that is dedicated towards Python development work. Some of the popular IDEs names are as below

  • Eclipse + PyDev
  • Sublime Text
  • Atom
  • PyCharm
  • Spyder

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Salesforce, Houston, Texas

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Conclusion:

Web application development using python is more demanding in the present time because of its simplicity. Python web development has a very low entry threshold, but it is an extremely powerful programming language with numerous capabilities.

You can safely use it for development because of its highly active community and built-in frameworks. With Python, you can reduce the bounce rates of your website and speed up the page loading times. It makes your website loading time faster which helps the visitors to feel they are in a modern website.

Are you looking for Python development services? We have a team of experienced Python web application developer who can help you.

Get in touch with Andolasoft Python developers for free consultation.