Machine Learning: The complete Math Guide to Master Data Science with Python and Developing Artificial Intelligence BOOK PDF 2023.

 Machine Learning: The complete Math Guide to Master Data Science with Python and Developing Artificial Intelligence BOOK PDF 2023.

What does Python do?

Python is both simple and powerful, it allows you to write very simple scripts and thanks to its many libraries, you can work on more ambitious projects. 

* Web: Today python combined with the Django framework is a very good technological choice for large website projects.

* System: Python is also often used by system admin to create repetitive or simply maintenance tasks. Moreover, if you want to create java applications by coding in python, this is possible thanks to the Jython project.

Why prefer Python to other languages? 

It is sometimes up to 5 times more concise than language Java for example, which increases the productivity of the developer and mechanically reduces the number of bugs.

The python environment is rich in libraries. 

Let’s not forget that a good coder hunter is not the one who can make his machine understand what he wants to do but who makes other developers understand what he wanted to do! Libraries are available for this domain such as the biopython module. 

There are also libraries facilitating the creation of 2D (and 3D) video games example: pyGame . The python documentation is also extremely well done, both for beginners and experts.

Who uses Python?

Google (Guido van Rossum worked for Google from 2005 to 2012), Yahoo, Microsoft, NASA claims the use of Python, to name but a few. Favourite video learning If you want to learn Python by watching videos, I advise you to view the "Pythonneries" available at this effective and funny Pythonneries address, a very good job! The Python tutorial: Python is a powerful and easy-to-learn programming language. It has high-level data structures and allows a simple but effective approach to object-oriented programming. Because its syntax is elegant, its typing is dynamic and interpreted, Python is an ideal language for scripting and rapid development of applications in many domains and on most platforms. The Python interpreter and its extensive standard library are freely available as sources or binaries for all major platforms from the https://www.python.org/ website and can be freely redistributed. The same site distributes and points to third-party modules, programs and tools. Finally, it is a source of documentation. The aim of this tutorial is not to be exhaustive and cover every feature, or even all the most used features. It aims, on the other hand, to introduce the most notable features and give you a good idea of the flavor and style of the language. After reading it, you will be able to read and write Python modules and programs and you will be ready to learn more about the Python library modules described in The Standard Library.

The Python interpreter:

can be easily extended by new functions and data types implemented in C or C++ (or any other language callable from the C). In this tutorial, we introduce, informally, the basic concepts as well as the functionalities of the Python language and its ecosystem. It is useful to have a Python interpreter at your fingertips to put the concepts into practice. For a description of the standard library objects and modules, see The standard library. The Python language reference presents the language in a more formal way. To write extensions in C or C++, read Python Interpreter Extension and Integration and Python/C API Reference Manual. Books are also available that cover Python in detail.

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