Free and easy to learn, Python. Its main characteristics are that it is dynamically typed, interpreted, and high-level. This distinguishes itself as the language to code in and facilitates the quick construction of application prototypes. Python was created in 1989 by Guido Van Rossum, who focused on readability and the DRY (Don't Repeat Yourself) concept.
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Python Applications
Python supports cross-platform operating systems, which makes it much easier to create applications using it. Python is used to implement the functionality of some of the most well-known programmes, like YouTube, BitTorrent, DropBox, and others.
Web Development
Game Development
Interactive game development also makes use of Python. There are libraries like PyGame, which offers functionality and a library for game development, and PySoy, a 3D game engine that supports Python 3. Python has been used to create games like Civilization IV, Disney's Toontown Online, Vega Strike, and others.
Machine Learning and Artificial Intelligence
Machine Learning and Artificial Intelligence are the talks of the town as they yield the most promising careers for the future. We make the computer learn based on past experiences through the data stored or better yet, create algorithms which makes the computer learn by itself. The python programming language that mostly everyone chooses? It’s Python. Why? Support for these domains with the libraries that exist already such as Pandas, Scikit-Learn, NumPy and so many more.
Data Science and Data Visualization
If you know how to extract the right information from data, you may use it to make more money by taking measured risks. You examine the data you have, do out processes, and extract the necessary information. Pandas and NumPy libraries assist you with information extraction.
Desktop GUI
Python is what we use to create desktop applications. It offers the Tkinter library, which is useful for creating user interfaces. There are additional helpful toolkits that can be used to develop apps across several platforms, like wxWidgets, Kivy, and PYQT.
Web Scraping Applications
In python programming help, python is a savior when it comes to pull a large amount of data from websites which can then be helpful in various real-world processes such as price comparison, job listings, research and development and much more.
