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D�tails bibliographiques

Titre: Python for Beginners: The Ultimate Crash Course to Learn Python in 7 Days with Step-by-Step Guidance and Hands-On Exercises (Data Science Mastery)
�diteur: Independently Published
Date de parution: 2020
Langue: anglais
ISBN � 10 chiffres: 1914167015
ISBN � 13 chiffres: 9781914167010
Reliure: Hardcover
�tat de l'article: As New

A propos de ce titre

Synopsis

If you want to learn Python Programming in one week (or less) and learn it well, then keep reading.
Python is a powerful programming language that can be used for the development of various types of applications. It is an Object-Oriented Programming language and it is interpreted rather than being compiled.
Python is considered to be among the most beloved programming languages in any circle of programmers. Software engineers, hackers, and Data Scientists alike are in love with the versatility that Python has to offer. Besides, the Object-Oriented feature of Python coupled with its flexibility is also some of the major attractions for this language. Programmers are now developing a wide range of mobile as well as web applications that we enjoy on an everyday basis.
This book explains every single detail that you must know to start using Python. From Python installation to Object-Oriented Programming, from the definition of Data Types and Variables to a practical application on Decision Trees.
You will learn everything that you need to know to start programming with Python. Some of the topics that we will discuss inside include: Python installation Python Data Types Python Variables Basic Operators of Python Language Data Structures Learning about Functions Conditional and Loops in Python Object-Oriented Programming (OOP) Inheritance and Polymorphism Essential Programming Tools Working with Files Exception Handling An application to Decision Trees And Much More!

Where most books about Python programming are theoretical and have few or little practical examples, Python for Beginners provides lots of simple, step-by-step examples and illustrations that are used to underline key concepts and help improve your understanding.
Furthermore, topics are carefully selected to give you broad exposure to Python, while not overwhelming you with too much information.

Les informations fournies dans la section � A propos du livre � peuvent faire r�f�rence � une autre �dition de ce titre.

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