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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

Summary


In this chapter, we caught a glimpse of web development. We talked about important concepts like the DRY philosophy and the concept of a framework as a tool that provides us with many things we need in order to write code to serve requests. We also talked about the MTV pattern, and how nicely these three layers play together to realize a request-response path.

Later on, we briefly introduced regular expressions, which is a subject of paramount importance, and it's the layer which provides the tools for URL routing.

There are many different frameworks out there, and Django is definitely one of the best and most widely used, so it's definitely worth exploring, especially its source code, which is very well written.

There are other very interesting and important frameworks too, like Flask. They provide fewer features but, in general, they are faster, both in execution time and to set up. One that is extremely fast is the relatively young Falcon project, whose benchmarks are outstanding...

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Learning Python
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