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Python is a versatile, interpreted programming language known for its clear and easily understandable syntax. It supports multiple programming paradigms, such as object-oriented, functional, and procedural programming, and has a large standard library for various tasks. Due to its flexibility and extensive community, Python is used in many fields, including web development, data analysis, machine learning, and automation.
Python is considered one of the best options for beginners in programming. This is also confirmed by the TIOBE index, which measures the relevance of different programming languages based on search engine results and online activities. Python is currently at the top of the rankings, highlighting its enormous popularity and versatility. With its clear syntax and extensive libraries, it is ideal for beginners wanting to get started with programming.
Image source: https://www.tiobe.com/tiobe-index/ (accessed on 27.10.2024)
The most important thing first: The Python programming language is easy to learn and read. This makes it especially accessible for people with no prior programming experience. The syntax is reminiscent of the English language and is very easy to understand compared to other programming languages.
Python is very versatile! From web development to machine learning and artificial intelligence, almost any project can be realized in Python. The standard library is very extensive, and a large and dedicated developer community provides additional libraries and frameworks for download. This leads to Python enjoying ever-growing popularity!
Python is perfect for rapid prototyping. Since Python is intentionally designed to be user-friendly, ideas and concepts can be quickly programmed and tested. This is known as 'rapid prototyping'. The programmer can implement and compare many ideas in a short time.
Python is free! Both the full functionality of the standard library and the frameworks provided by independent developer teams are (with a few very specific exceptions) available for free. All you need is a laptop to get started!
Python automatically handles many tasks that make programming in other languages more difficult, especially manual memory management. This language design can result in slower execution of programs. For simple applications, this performance loss is completely irrelevant, while complex Python programs usually delegate computationally intensive tasks to library functions. Libraries for working with large data sets are often written in low-level languages like C or Fortran, which are simply called from the Python code, minimizing the overhead.
Python can be used for almost any professional or personal project. Knowledge of Python boosts productivity and opens up unimaginable possibilities. We are happy to provide insights into individual use cases and the benefits of Python training. Here is the contact form.