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Python

What is Python

Python is a high-level interpreted programming language whose philosophy focuses on code readability and syntax simplicity. The language was designed by Guido van Rossum in the 1980s and has since become one of the most popular programming languages in the world. Due to the high level of the Python language, you can focus directly on the logic of our application, while the low-level aspects of the program are taken over by the Python interpreter, e.g. Memory Management, determining the types of our variables. The Python language is very versatile. It is adapted to most platforms: Windows, macOS, Linux, and even iOS and Android.

The Python design language is based on the principles described in The Zen of Python by Tim Peters:

perfection,
clarity,
simplicity,
complexity – but not complexity,
readability.

Python was intended to be a concise and simple language. The vast majority of the code is easy to understand even for complete amateurs who know at least a little English. As long as you have the appropriate hardware resources, you can run it almost anywhere. Compared to other web languages (PHP, JS), mastering creating web applications in Python is similarly complex. In turn, for its more advanced applications, it seems to offer greater flexibility in the sense that using Python you can create network applications that are also, for example, applications using rich libraries of statistical data analysis in Python. There are fewer libraries of this type in other languages, which may be due to the fact that the main driving force behind the development of these packages is the scientific community, which easily adopted Python.

Usage

Python is used in many business fields. Here are some examples:

Data Analysis: Python is often used for data analysis and visualization. Libraries such as Pandas, NumPy or Matplotlib enable processing large data sets, creating charts and visualizations.
Machine Learning: Python is also often used in the field of machine learning and artificial intelligence. Libraries such as TensorFlow, Scikit-learn and Keras enable you to create and train machine learning models.
Task automation: Python is easy to automate various types of business tasks such as generating reports, processing files or scraping data from the internet.
Web application development: Frameworks such as Django and Flask enable the creation of advanced web applications that are easy to maintain and develop.
Systems Integration: Python allows you to easily connect different systems and business applications, which can help you automate business processes and increase efficiency.

To summarize, Python is used in many different fields, from data analysis and artificial intelligence to web development and automation of business tasks.