Python-Sprache: Was kann man mit Python programmieren?

The Python language supports cross-platform operating systems. This makes creating applications with Python programming more convenient. Which is why even world-famous platforms such as YouTube or DropBox use the Python language to achieve good functionality. Here are ten examples of typical tasks and areas of application for "programming with Python":

• Web development by creating web applications (set of libraries, HTTPS, FTP, SSL protocols, JSO and XML processing)
• Game development for interactive games (libraries such as PySoy, 3D game engine - Python 3 supporting, PyGame, library functionality)
• Machine learning and artificial intelligence (AI - algorithms and libraries such as Pandas, Scikit-Learn, NumPy)
• Data science and visualization (analyzing data, performing operations, extracting information, libraries such as Pandas and Numpy)
• Desktop GUI (programming desktop applications, Tkinter library, useful toolkits such as wxWidgets, Kivy and PAGT for applications on different platforms)
• Web scraping applications (read out large amounts of data, use in real processes such as price comparison, job offers, research and development, BeautifulSoup library to retrieve and process data)
• Business applications (e-commerce, ERP, easily scalable, quickly expandable, easy to read)
• Audio and video applications (run multiple tasks simultaneously and output media, Python libraries, good stability and performance)
• CAD applications (computer-aided design, representation of objects and functions, Python CAD application Fandango)
• Embedded applications (based on C, simple creation of software embedded in C, running higher-level applications on smaller devices, e.g. for data processing and calculation)

Python programming can be used for a variety of applications and areas. The Python language offers high quality as well as dynamic typing and interpretation. This makes it easier to debug errors and promotes the rapid development of application prototypes. When it was developed in 1989, the focus was on good readability. The Python language and programming with Python can be learned in a shorter or longer course.