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  • Book Overview & Buying Learning Python
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Learning Python

Learning Python

By : Fabrizio Romano
4.1 (21)
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Learning Python

Learning Python

4.1 (21)
By: Fabrizio Romano

Overview of this book

Learning Python has a dynamic and varied nature. It reads easily and lays a good foundation for those who are interested in digging deeper. It has a practical and example-oriented approach through which both the introductory and the advanced topics are explained. Starting with the fundamentals of programming and Python, it ends by exploring very different topics, like GUIs, web apps and data science. The book takes you all the way to creating a fully fledged application. The book begins by exploring the essentials of programming, data structures and teaches you how to manipulate them. It then moves on to controlling the flow of a program and writing reusable and error proof code. You will then explore different programming paradigms that will allow you to find the best approach to any situation, and also learn how to perform performance optimization as well as effective debugging. Throughout, the book steers you through the various types of applications, and it concludes with a complete mini website built upon all the concepts that you learned.
Table of Contents (14 chapters)
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13
Index

What this book covers

Chapter 1, Introduction and First Steps – Take a Deep Breath, introduces you to fundamental programming concepts. It guides you to getting Python up and running on your computer and introduces you to some of its constructs.

Chapter 2, Built-in Data Types, introduces you to Python built-in data types. Python has a very rich set of native data types and this chapter will give you a description and a short example for each of them.

Chapter 3, Iterating and Making Decisions, teaches you how to control the flow of your code by inspecting conditions, applying logic, and performing loops.

Chapter 4, Functions, the Building Blocks of Code, teaches you how to write functions. Functions are the keys to reusing code, to reducing debugging time, and in general, to writing better code.

Chapter 5, Saving Time and Memory, introduces you to the functional aspects of Python programming. This chapter teaches you how to write comprehensions and generators, which are powerful tools that you can use to speed up your code and save memory.

Chapter 6, Advanced Concepts – OOP, Decorators, and Iterators, teaches you the basics of object-oriented programming with Python. It shows you the key concepts and all the potentials of this paradigm. It also shows you one of the most beloved characteristics of Python: decorators. Finally, it also covers the concept of iterators.

Chapter 7, Testing, Profiling, and Dealing with Exceptions, teaches you how to make your code more robust, fast, and stable using techniques such as testing and profiling. It also formally defines the concept of exceptions.

Chapter 8, The Edges – GUIs and Scripts, guides you through an example from two different points of view. 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.

Chapter 10, Web Development Done Right, introduces the fundamentals of web development and delivers a project using the Django web framework. 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.

Chapter 12, Summing Up – A Complete Example, presents a Django website that acts as an interface to an underlying slim API written with the Falcon web framework. This chapter takes all the concepts covered in the book to the next level and suggests where to go to dig deeper and take the next steps.

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Learning Python
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