Python

Python programming language

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What is Python?

Python is a well-known, wysokopoziom-based programming language for general-purpose applications. It was created in the 1980s by Guido van Rossum. The goal was to create a language that would be easy to use and understandable for programmers. Python is frequently used to create scripts, web applications, mobile applications, games, automatizing tools, analytic tools, and many other things. Python is also frequently used in research related to business, finance, and machine learning. His structure is clear-cut and simple, enabling easy manuscript writing and quick prototyping. Python has a fully-revised standard library and a number of third-party libraries that enable it to expand its functionalities.

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How is Python better than other programing languages?

Python has a very clear and easy-to-understand syntax. Possesses a rich standard library that facilitates work on a variety of tasks, including data analysis, automation, machine learning, and many more.

Python is also a multi-platform language, which means that applications written in Python may operate on a variety of operating systems.

Python has a very active community, which means that there are many tools and resources available to programmers who want to learn it and develop their own expertise.

Benefits of Python

  • Simple syntax – which makes learning it easier and enables the quick creation of applications.
  • Robust standard library – that contains a variety of tools and modules that make working with various types of problems easier.
  • Multi-platform language – which means that applications written in it can operate on a variety of operating systems.
  • Dynamic therefore there is no need to declare invalid types. This allows for quick prototyping and testing of code.
  • Strong comunity – Python has a quiet social life, which means that there are many tools and resources available to programmers who want to learn it and develop their own capabilities.
  • Useful in a wide range of fields – including data analysis, automation, machine learning, web programming, robotics, and many more.

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What is Python used for?

  • Data analysis – Python is frequently used to analyse data, both structured and unstructured, with the help of libraries like Pandas, NumPy, and SciPy.
  • Python is frequently used for automating a variety of tasks, such as downloading files, sending emails, creating reports, and many more.
  • Python is one of the most widely used languages for machine learning thanks to libraries like scikit-learn, TensorFlow, and Keras.
  • Python is frequently used to create online applications using frameworks like Django, Flask, and Pyramid. Web programming
  • Python is frequently used in academic fields such as mathematics, physics, and information technology thanks to libraries like NumPy, SciPy, and Matplotlib.
  • Robotics and automation – Python is frequently used to programme robots and automate software thanks to libraries like ROS (Robot Operating System) and specifically created for it libraries like PyRobot.
  • Desktop applications and games – Python is frequently used to create desktop applications and games with the help of libraries like PyQt, Pygame, and kivy.

The most popular applications written in Python

Python is a programming language that is used to create a variety of applications. Here are a few examples of the most widely used Python-coded applications:

  • Anaconda

    is a toolkit for data analysis that includes, among other things, Python, the NumPy, SciPy, and Pandas libraries, among many more.

  • Dropbox

    is a well-known service for sharing files that is primarily written in Python.

  • Spotify

    is a well-known music streaming app that was written in Python and C++.

  • Instagram

    is a major social media platform that was created in Python and Java, while BitTorrent is a well-known tool for downloading torrent files that was created in Python.

  • NASA

    many applications and tools used by NASA are written in Python, including tools for satellite data analysis and simulation.

  • OpenCV

    the OpenCV library, which aids in the processing of images and the visualisation of objects, was written in the C++ language with the option of using the Python inter-face.

Python blog

Kamil Cyrana

Kamil Cyrana

Co-founder at Gorilla Software

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Michał

CTO

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