What is Python Used For Whether you are familiar with the world of software development or not, there is a possibility that you may have heard of Python, one of the most popular programming languages of our time.

History of Python programming language

In 1991, Dutchman Guido van Rom released Python as an interpretive programming language that emphasized the ability to read. As an open source language, it is widely used on many projects, including Google, YouTube, EVE Online and FERX games.

“Python has been an important part of Google from the beginning, and as this system develops and evolves, dozens of Google engineers still use Python, and we have more people skills in that language. Get acquainted, said Peter Norweg, director of search quality at Google Inc.

“Ortho enables EVE Online, a massively multiplayer game that can be created in record time. The EVE Online server cluster simulates over 50,000 players simultaneously in one shared space. Playing in the format, most of which were made in python. The flexibility of the python has enabled us. “

What is Python Used For?

Well that’s a tricky question to answer, because there are so many applications for Python.

But over time, I have observed that there are 3 main popular applications for Python:

  • Web Development
  • Data Science — including machine learning, data analysis, and data visualization
  • Scripting
  • Hacking
  • App Development
  • Games
  • Windows Software
  • Machine Learning
  • Big Data
  • Artificial Intelligence

Why Python So Popular Now?

1. Easy to Learn and Use

Python language is incredibly easy for beginners and newcomers to use and learn. Python language is one of the accessible programming languages available because it is simple and not complicated, which emphasizes natural language.

Due to its ease of learning and use, Python codes are easy to write and can be executed relative to other programming languages.

2. Python Has Some Great Corporate Sponsors

When it comes to corporate sponsorship in the programming language, it helps big time. C # has Microsoft, Java has Sun and PHP is used by Facebook. Google introduced Python in 2006, and since then it has used it for many platforms and applications.

Why this matter? Because companies like Google want their team – and future developers – to work with their systems and apps, they need to provide resources. In the case of Google, they created a number of guides and tutorials for working with python.

3. Python is instrumental in data science and AI

Logically the places where you get Python are the most data science, AI and machine learning – A subset of AI. Out of the box, Python comes with a number of built-in libraries that may require data scientists.

In addition, there are many powerful and famous libraries you can download for Python and use in your projects, such as Nam pi, Pandas, Metabolite, and Math for Science, Data Management, Data Visual and more. very much.

4. Python is in Academia

Academia is preparing to embrace the python. Computer science curriculum now includes python as a core language requirement – unlike in the past where the focus was on implementing Java, C, and C ++ in formal coursework.

Granted, programmers still need information about these languages, but the growing demand for data science, machine learning, deep learning and artificial intelligence specialists is making it the go-to tool.

5.Python Has Amazing Libraries

When you’re working on big projects, libraries can really help save time and reduce the initial development period. Aztan has a great selection of libraries, ranging from sampling for science computing and science pie to Jiang’s books for web development.

Even certain libraries have more specific focus such as sign learning for machine learning applications and NLTC for processing natural language.

Python vs Other Programming languages

Python and other backed development languages have many things in common, for example cross-platform support. But there must be something that distinguishes each of them. Let’s take a closer look:

Python vs. Ruby

A few years ago, both of these technologies were at the top of the top 10 most popular programming languages, but now the python is ranked third, and Ruby is out of the top 10. When it comes to mobile app development.

At the height of popularity, developers praised Ruby’s flexibility because you can achieve a purpose in many different ways. Ironically, it played a significant role in reducing the programming language. Python has succeeded in its simplicity, as this technology is the only easy way to solve a task.

Python vs. PHP

More than 80% of websites are written in PHP, and the reason for this is the ability to easily insert code into HTML. What’s more, many popular CMSs like WordPress are using this technology. Python and PHP are both powerful programming languages, and

Python is gaining ground because of its flexibility and readability. The choice should depend on your needs – if time is money for your business then you should choose python. In fact, every good software house should include both Python and PHP developers.

Python vs. C/C++

In fact, some of the most important performances of Python are recorded in Section C. The main difference between them is the same as in the case of Python vs Java. Python is dynamically typed, and C ++ stable typed language.

C ‘has been in software development since the late’ 60s, so it has a strong legacy that Python needs to overcome. C / C ++ is error prone and difficult to read, so Python’s readability and speed of development are on its way to breaking C’s dominance.

Python vs. Java

Both languages ​​are object oriented, but Python is dynamic and Java is a stable technology. Static codes are expanded, but they have the benefit of avoiding run time bugs. It also means that syntax is much easier in Python than in Java’s strict syntax.

When it comes to backend development, both languages ​​are very popular, and that means you can trust a broad and connected community. They are also provided with well-performing frameworks, but Python gives you more possibilities when designing a machine learning project.

But the statistics shown at the beginning of this article suggest that Python is growing and Java’s popularity is slowly declining, and that is probably because of Python’s simplicity and other professionals listed here. ۔

4 Best Free Python IDE

1. PyCharm

Pay Charm is a cross-platform IDE used for python programming. This editor can be used on Windows, MacOS and Linux.

This software includes an API that developers can use to write their Python plugins so they can add basic functionality.

2. Atom

Available on all platforms, Atom has been billed as a “hackable text editor in the 21st century”. Built using Open Source Atom Electron, a sleek interface, file system browser, and marketplace for extensions, a suite of desktop applications using JavaScript, HTML and CSS. Framework. Python language support is provided through an extension that can be installed when Atom is running.

3. Visual Studio Code

Visual Studio Code (VS Code) is an open source environment developed by Microsoft. This IDE can be used to develop Python. Visual Studio Code is an electron-based framework for deploying N-Node JS applications for computers running the bulk browser engine.

4. Spyder

Spider is an open source Python IDE that is good for data science workflows. Spider comes with anaconda package manager distribution, so depending on your setup you can already install it on your machine.