Book Image

Learning Python Application Development

By : Ninad Sathaye
Book Image

Learning Python Application Development

By: Ninad Sathaye

Overview of this book

Python is one of the most widely used dynamic programming languages, supported by a rich set of libraries and frameworks that enable rapid development. But fast paced development often comes with its own baggage that could bring down the quality, performance, and extensibility of an application. This book will show you ways to handle such problems and write better Python applications. From the basics of simple command-line applications, develop your skills all the way to designing efficient and advanced Python apps. Guided by a light-hearted fantasy learning theme, overcome the real-world problems of complex Python development with practical solutions. Beginning with a focus on robustness, packaging, and releasing application code, you’ll move on to focus on improving application lifetime by making code extensible, reusable, and readable. Get to grips with Python refactoring, design patterns and best practices. Techniques to identify the bottlenecks and improve performance are covered in a series of chapters devoted to performance, before closing with a look at developing Python GUIs.
Table of Contents (18 chapters)
Learning Python Application Development
Credits
Disclaimers
About the Author
About the Reviewer
www.PacktPub.com
Preface
Index

Code analysis – How well are we doing?


In this section, we will talk about tools that help to detect coding standard violations.

Good to have you back, Sir Foo! You've been awfully quiet, hope you are following along. You have raised a valid concern. Developers might get overwhelmed while trying to adhere to so many guidelines. Initially, it could appear like a challenge but practice should make you perfect. That said, there is still a likelihood that you will forget a guideline. Luckily, there are tools available that not only detect coding standard violations, but also inspect the code for errors. Some tools also try to reformat the code to adhere to coding standards. Let's learn that next.

Code analysis using IDE

Some popular Python integrated development environments (IDEs) were listed in Chapter 1, Developing Simple Applications. Before looking at any of the inspection tools discussed next, start with your IDE. Many IDEs come well equipped with code inspection and reformatting tools...