Titel: Learn Python Programming for Beginners: The Complete Guide to Learn Coding with Python. Become Fluent In This High-Level Programming Language
Verlag: Barbara Di Stanislao Ltd
Ver�ffentlichungsdatum: 2020
Sprache: Englisch
ISBN-10: 1914183010
ISBN-13: 9781914183010
Bindung: Paperback
Zustand: Good
Zustand des Schutzumschlags: No Jacket

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Inhaltsangabe

Are you interested in Python? If yes, then this is the right book for you!

Python was created in 1990 by Guido van Rossu, and is a general-purpose, high-level programming language. It has become extremely popular over the past decade, thanks to its intuitive nature, flexibility, and versatility. Python can be used on a wide variety of operating systems, and its clean, readable code style makes it relatively beginner-friendly, while not as fast as other languages, such as C++ or JAVA, Python code is often much shorter and simpler than other languages.

Python also supports several packages and modules created by other developers to make the development of Python applications quicker and easier.

There are hundreds of different programming languages out there in the world, with Wikipedia listing over 700 notable languages. Given how many languages you could potentially learn, why learn Python?

Python has seen an explosion in popularity in recent years, driven by several aspects that make it an incredibly versatile and intuitive language. A huge selling point of Python is the cleanliness and readability of its syntax and structure. Commands in Python can often be carried out using simple English keywords, which makes the language much more intuitive than many other languages. Python is also quite versatile in the sense that it supports both structured programming and object-oriented programming approaches. Python even allows the use of certain aspects of functional programming.

This Book Covers:

Understanding Python
Why the name "Python"?
Python Glossary
Python Installation
Python Data Types

And much more!!

Despite its simplicity, Python is also sturdy and robust enough to carry out complex scientific and mathematical tasks. Python has been designed with features that drastically simplify the visualization and analysis of data.

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