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You have decided to learn Python and I can only congratulate you. I will try to anticipate your questions and leave no one behind.
In this chapter, I will first explain what a programming language is. We will then briefly see the story of Python, so that you at least know where this language comes from! This chapter is theoretical but I urge you to read it anyway.
The final section will cover the installation of Python, an essential step to continue this tutorial. Whether you are working with Windows, Linux or Mac OS X, you will find precise explanations of the installation.
Come on, we attack!
Human communication
No, this is not a biological or philosophical explanation, do not leave!
Very simply, if you come to understand these sequences of strange and disconcerting symbols that are the letters of the alphabet, it is because we respect certain conventions, in language and in writing. In French, there are rules of grammar and spelling, I do not teach you anything. You communicate by knowing more or less consciously these rules and by applying them more or less well, as the case may be.
However, these rules can easily be circumvented: no one can claim to know all the rules of French grammar and spelling, and few people care. After all, even if you make mistakes, people with whom you communicate can easily understand you.
When you communicate with a computer, however, it's very different.
My computer communicates too!
Yes, your computer communicates constantly with you and you communicate with him constantly. Okay, he tells you very rarely that he is hungry, that the summer promises to be scorching and that the last disc of this well-known band was crying.
There is nothing magic if, when you click on the small cross at the top right of the current application, it understands that it must close.
In fact, your computer is also based on a language to communicate with you or with itself. The operations that a computer can perform at the base are most classic and consist of the addition of two numbers, their subtraction, their multiplication, their division, whole or not. And yet, these five operations are amply enough to run the most complex simulation software or super-realistic games.
All these programs work roughly the same way:
By schematizing voluntarily, an instruction could ask the program to close if you click on the cross at the top right of your screen, or stay in the background if that is his pleasure. However, in machine language, such an action alone requires a large number of instructions.
But hey, you can imagine, talking with the computer in machine language, which includes only the binary, it is neither very rewarding nor very practical, and in any case not very funny.
We have invented programming languages to facilitate communication with the computer.
Python is a powerful language that is both easy to learn and rich in possibilities. From the moment you install it on your computer, you have many features built into the language that we will discover throughout this book.
It is also very easy to extend the existing features, as we will see. Thus, there are so-called libraries that help the developer to work on particular projects. Several libraries can thus be installed to, for example, develop graphical interfaces in Python.
Concretely, that's what we can do with Python:
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Introduction to web development with Python and Django | |
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Submitted On : | 2018-04-01 |
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Django Web Framework and Python | |
Description : | Download free PDF tutorial about Django framework with Python, document under 40 page by Zhaojie Zhang. |
Submitted On : | 2018-04-01 |
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Advanced Python, course with exercises | |
Description : | This tutorial is a selflearning document in PDF for a course in Python programming intended to advanced students level. |
Submitted On : | 2019-01-31 |
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Think Python, Free PDF tutorial | |
Description : | The goal of this book is to teach you to think like a computer scientist. This way of thinking combines some of the best features of mathematics, engineering, and natural science. |
Submitted On : | 2019-02-01 |
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Learning Python language | |
Description : | Complete Python language tutorial, courses, exercises and Python language examples designed for developers who want to learn the basics of this language. PDF document on 1067 pages created by StackOverFlow. |
Submitted On : | 2019-04-21 |
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Python tutorial for professionals | |
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Submitted On : | 2019-04-30 |
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Making Games with Python & Pygame | |
Description : | This book will teach you how to make graphical computer games in the Python programming language using the Pygame library. |
Submitted On : | 2019-05-01 |
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Python for Everybody | |
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Submitted On : | 2019-09-09 |
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A Practical Introduction to Python Programming | |
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Submitted On : | 2020-08-26 |
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A Byte of Python | |
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Submitted On : | 2020-08-26 |
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Algorithmic Problem Solving with Python | |
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A Python Book: Beginning Python, Advanced Python, and Python Exercises | |
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Automate the Boring Stuff with Python: Practical Programming for Total Beginners | |
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A Whirlwind Tour of Python | |
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Bayesian Methods for Hackers: Probabilistic Programming and Bayesian Inference Using Python and PyMC | |
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Classic Computer Science Problems in Python | |
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Deep Learning with Python | |
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Essential Python | |
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Submitted On : | 2020-08-29 |
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Fast Lane to Python | |
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Hands-on Python Tutorial | |
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How To Code in Python 3 | |
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How to Think Like a Computer Scientist: Learning with Python 3 Documentation | |
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Introduction to Scientific Programming with Python | |
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Learning to Program Using Python | |
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Learning with Python: How to Think Like a Computer Scientist | |
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Make Games with Python on Raspberry Pi | |
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Modeling and Simulation in Python | |
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Non-Programmer's Tutorial for Python 3 | |
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Practices of the Python Pro | |
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Problem Solving with Algorithms and Data Structures Using Python | |
Description : | This books is about computer science. It is also about Python. However, there is much more. The study of algorithms and data structures is central to understanding what computer science is all about. Learning computer science is not unlike learning any other type of difficult subject matter. The only way to be successful is through deliberate and incremental exposure to the fundamental ideas. A beginning computer scientist needs practice so that there is a thorough understanding before continuing on to the more complex parts of the curriculum. In addition, a beginner needs to be given the opportunity to be successful and gain confidence. |
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Programming Computer Vision with Python: Tools and Algorithms for Analyzing Images | |
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Programming for Computations - Python: A Gentle Introduction to Numerical Simulations with Python 3.6 | |
Description : | This second edition of the well-received book has been extensively revised: All code is now written in Python version 3.6 (no longer version 2.7). In addition, the two first chapters of the previous edition have been extended and split up into five new chapters, thus expanding the introduction to programming from 50 to 150 pages |
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Python 3 Patterns, Recipes and Idioms | |
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Python and Coding Theory | |
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Python Data Science Handbook: Essential Tools for Working with Data | |
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Python for Informatics: Exploring Information | |
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Python for You and Me | |
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Python in Hydrology | |
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Python Machine Learning Projects | |
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Python Scientific Lecture Notes (Scipy Lecture Notes) | |
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Python Scripting for Spatial Data Processing | |
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Solving PDEs in Python: The FEniCS Tutorial I | |
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Test-Driven Development with Python | |
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Think Bayes: Bayesian Statistics in Python | |
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Submitted On : | 2020-08-30 |
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Think DSP: Digital Signal Processing in Python | |
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O'Reilly® Think Python, 2nd Edition, - How to Think Like a Computer Scientist | |
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Think Python: An Introduction to Software Design | |
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Think Stats, 2nd Edition: Exploratory Data Analysis in Python | |
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Problem Solving with Algorithms and Data Structures Using Python | |
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Biopython: Tutorial and Cookbook | |
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Programming for Computations - Python, 2nd Edition | |
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Python re(gex)? | |
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Python Machine Learning Projects | |
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How To Code in Python 3 | |
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Fundamentals of Python Programming | |
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Exploring Data with Python | |
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Mastering Python | |
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Think Python, 2nd Edition | |
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Raspberry Pi Cookbook for Python Programmers | |
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A Byte of Python | |
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Annotated Algorithms in Python | |
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Hacking Secret Ciphers with Python | |
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Programming Computer Vision with Python | |
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Making Games with Python & Pygame | |
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A Byte of Python | |
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Annotated Algorithms in Python | |
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A Whirlwind Tour of Python | |
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Biopython: Tutorial and Cookbook | |
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Classic Computer Science Problems in Python | |
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First Semester in Numerical Analysis with Python | |
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Fundamentals of Python Programming | |
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Get Started with MicroPython on Raspberry Pi Pico | |
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Hacking Secret Ciphers with Python | |
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How To Code in Python 3 | |
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Invent Your Own Computer Games with Python | |
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IPython Interactive Computing and Visualization Cookbook | |
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Learning Python Matplotlib | |
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Making Games with Python & Pygame | |
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Practices of the Python Pro | |
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Programming Computer Vision with Python | |
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Programming for Computations - Python | |
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Programming for Computations - Python | |
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Python for Everybody | |
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Python Tutorial for Beginners in PDF | |
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Submitted On : | 2023-07-30 |
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