By Fabrizio Romano

Key Features

examine the basics of programming with Python – the best languages ever created
strengthen a powerful set of programming talents that you'll be in a position to convey in any scenario, on each platform, because of Python's portability
Create amazing purposes of all variety, from web pages to scripting, and from GUIs to information science

Book Description

Learning Python has a dynamic and sundry nature. It reads simply and lays an outstanding origin in case you have an interest in digging deeper. It has a pragmatic and example-oriented procedure wherein either the introductory and the complex issues are defined. beginning with the basics of programming and Python, it ends via exploring very diverse subject matters, like GUIs, net apps and information technological know-how. The booklet takes you the entire technique to making a totally fledged application.

The e-book starts off through exploring the necessities of programming, info constructions and teaches you the way to control them. It then strikes directly to controlling the stream of a software and writing reusable and mistake evidence code. you'll then discover diverse programming paradigms that may let you locate the easiest method of any scenario, and in addition tips on how to practice functionality optimization in addition to potent debugging. all through, the booklet steers you thru a few of the forms of functions, and it concludes with a whole mini site equipped upon all of the recommendations that you simply learned.
What you'll learn

Get Python up and working on home windows, Mac, and Linux in no time
grab the elemental options of coding, in addition to the fundamentals of information constructions and regulate flow.
Write stylish, reusable, and effective code in any situation
comprehend whilst to exploit the practical or the item orientated programming approach
Create bulletproof, trustworthy software program through writing checks to help your code
discover examples of GUIs, scripting, information technology and internet applications
discover ways to be self sufficient, in a position to fetching any source you wish, in addition to dig deeper

About the Author

Fabrizio Romano used to be born in Italy in 1975. He holds a master's measure in computing device technological know-how engineering from the collage of Padova. he's additionally a professional Scrum master.

Before Python, he has labored with numerous different languages, comparable to C/C++, Java, Hypertext Preprocessor, and C#.

In 2011, he moved to London and commenced operating as a Python developer for Glasses Direct, one in all Europe's top on-line prescription glasses retailers.

He then labored as a senior Python developer for TBG (now Sprinklr), one of many world's major businesses in social media ads. At TBG, he and his group collaborated with fb and Twitter. They have been the 1st on this planet to get entry to the Twitter ads API. He wrote the code that released the 1st geo-narrowcasted promoted tweet on the earth utilizing the API.

He presently works as a senior platform developer at, a firm that's revolutionizing the best way foreign scholars locate their ideal domestic everywhere in the world.

He has introduced talks on educating Python and TDD with Python on the final versions of EuroPython and at Skillsmatter in London.
Table of Contents

creation and primary Steps – Take a Deep Breath
integrated info Types
Iterating and Making Decisions
services, the construction Blocks of Code
Saving Time and Memory
complicated innovations – OOP, Decorators, and Iterators
trying out, Profiling, and working with Exceptions
the sides – GUIs and Scripts
information Science
internet improvement performed Right
Debugging and Troubleshooting
Summing Up – an entire Example

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Additional resources for Learning Python

Example text

I have given suggestions on this matter in the first chapter. Its amazing design and portability will help you become productive regardless of the environment you choose to work with. If you have already worked with Python or any other language, this book can still be useful to you both as a reference to Python’s fundamentals and to provide a wide range of considerations and suggestions collected over two decades of experience. Here are some examples of these styles and an explanation of their meaning.

I think there are two main differences and many good reasons why you would want to read it. We build a solid foundation by covering the critical aspects of this wonderful language. By the end of Chapter 7, Testing, Profiling, and Dealing with Exceptions, we will cover all the fundamentals. From Chapter 8, The Edges – GUIs and Scripts, onward, the book takes a steep turn, which brings us to difference number two. To consolidate the knowledge acquired, there is nothing like working on a small project.

Finally, it also covers the concept of iterators. It also formally defines the concept of exceptions. They are at the extremities of a spectrum: one implementation is a script and the other one a proper graphical user interface application. Chapter 9, Data Science, introduces a few key concepts and a very special tool, the Jupyter Notebook. The example will be based on regular expressions. Chapter 11, Debugging and Troubleshooting, shows you the main methods to debug your code and some examples on how to apply them.

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