Python is equally valued among startups like Finance Strategists, mid-sized companies like EP Wealth, blue-chip companies like Google, Quora, Netflix, and Spotify, and government organizations like NASA. But few people know why Python is one of the best programming languages for web development. So why has it gained a lot of popularity and interest among startup founders?

Powerful and fast
Python is a powerful language, and it can be used for almost anything. First of all, its versatility can be applied to everything in the world, as it offers several default options, with normal libraries that solve almost any programming task quickly and easily.

Interfaces well with other
Python is easy enough to interface with code written in other programming languages. You will be able to embed your Python project into frameworks of different languages, and vice versa. This means that you will simply create products that combine Python with other programming languages (such as C++), getting the most efficient solution of the two worlds.

Works everywhere.
Python is available for almost any operating system, including UNIX, Windows, mac OS, iOS, and Android. It also runs on a variety of platforms, including IBM, AIX, Solaris, and VMS.

Friendly and easy to learn
Python is considered a highly efficient way to code because of its simple syntax and readability. Python is an easy-to-learn language, so there is a fairly large talent pool.

Open Source
Python is an open source language that is managed and maintained by the independent non-profit Python Software Foundation. One of the main advantages of open source software is that it can be freely used, modified, and distributed.

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When it comes to artificial intelligence, Python stands above other programming languages and is considered the best programming language for artificial intelligence applications.

Companies such as Google, Facebook and Dropbox use Python in one form or another because of its flexibility, scalability, performance and rapid development.

Python is a high-level programming language that comes with many standard libraries covering 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. Python 3 was originally released in December 2008 to fix some fundamental flaws in Python 2.

A feature of Python 3 was to “reduce duplication of features by removing old ways of doing things.” If you are a beginner and about to write your first programs, it is best to get used to Python 3 right away.

Web application development using “Python” is becoming more and more in demand nowadays because of its simplicity. Web development in Python has a very low threshold of entry, but it is an extremely powerful programming language with numerous features.

You can safely use it for development because of its active community and built-in frameworks. Using Python, you can reduce the number of bounces on your site and speed up page load times. It speeds up your site’s load time, which helps visitors feel like they’re on a modern site.

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Semicolons.
The Python programming language does not use a semicolon to end a line. A new line of code is sufficient to define new code syntax.

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

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

Python Framework.
Python is also extremely in demand in various industries.

For example, database, machine learning, databases, design, data analysis, web page reading/testing, application development using Python language. Therefore, a huge number of libraries have been developed for this language. This platform is mainly used for data analysis, DevOps tasks and web development.

If you choose Python in web development, you come across many Python frameworks that allow developers to get more with less coding.

Here are some of these frameworks:

Django: It’s ranked first because it’s a powerful open-source Python platform. This technology is effective for developing complex data-driven sites. This platform is advanced and has many mature attributes that include templates, libraries, and APIs that support the development of scalable web development in python projects.

Turbo gears: This is the best platform for web application development. It includes elements of the web server gateway interface, includes SQL Alchemy, Webob, Repoze, and more. Like Ruby on Rails, TurbpoGears works well with the MVC architecture, which supports fast web application development using Python.

Numpy: Numpy numeric python is a library that helps you perform logical and scientific operations on arrays. The library works with multidimensional arrays of objects. It also consists of several collections of procedures used to handle arrays.

Panda: This is an authorized BSZ open-source Python library that provides Python developers with many easy-to-use data structures as well as tools for data analysis. These technologies are mainly used in commercial and academic fields, but also in analytics, finance, economics, statistics, etc.

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Thanks to the conciseness of the language and excellent libraries, it is cheaper and faster to make projects in Python. The wide range of features allows you to solve not only typical tasks for Internet applications, but also implement unique ideas.

Python is the most popular programming language for creating commercial projects.

Language popularity plays a significant role for several reasons:

Popularity is an indicator of quality: Python is chosen because it is better than other languages.
A large influx of young professionals ensures that you will not face a shortage of personnel to support and update projects.
A community of millions helps to constantly develop and improve the language.
More people are developing ready-to-use optimized libraries and modules for all sorts of technical and business tasks.
Clean syntax and brevity

Python’s syntax is simple, it’s like natural speech. Concise, readable code is easier to maintain, inspect and correct. The compactness of the language saves time for programmers and money for customers.

Libraries
The standard Python library simplifies many routine tasks of a programmer, and gives access to system functionality through modules written in C.

For the tasks of a particular project, you can connect external libraries. They cover all areas of development – from e-commerce and enterprise systems to machine learning and visualization of statistics.

MVP creation
Speed of development and versatility make Python the best choice for prototyping and MVP – minimal viable products. With Python, you can quickly create a basic version of a product, get feedback from users, and test the business idea. The application can then be improved based on live feedback.

Asynchrony
Since version 3.5, Python supports asynchronous code. An asynchronous application continues to run and process requests while waiting for a response from the server. This avoids application downtime that occurs when processing requests sequentially.

The asynchronous model improves the performance and responsiveness of web applications. In our experience, Python is suitable even for high-loaded sites and projects where the speed of processing complex queries is important.

Integration with Other Languages
Python integrates well with other languages. For example, you can embed snippets in C++ into the source code. Python can also be used to “glue” code snippets from other languages.

Open-Source license
Python can be used for free. And the open-source license promotes rapid diffusion and improvement of the language by volunteers from around the world.

The benefits of a dynamic language
Python has all the advantages of a dynamic interpreted language:

You don’t have to spend time compiling during development;
Programming results are visible in real time;
Short development cycles – no need to think ahead about class hierarchy;
Less code means it’s easier to maintain and update.
No separate compilation phase during development allows you to quickly run the code, check the result and make changes. This makes development more convenient and launching the program faster.

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