Summary
In this chapter, we laid down the groundwork for the advanced Python concepts discussed in the later chapters of this book. We started by presenting the flavor, guidance, and ambience of a Python project. We started the technical discussion by first identifying different phases of the Python project and then exploring different ways of optimizing it based on the use cases we are working on. For a terse language such as Python, good-quality documentation goes a long way to make the code readable and explicit.
We also looked into various ways of documenting the Python code. Next, we investigated the recommended ways of creating documentation in Python. We also studied the naming schemes that can help us in making code more readable. Next, we looked into the different ways we can use source control. We also figured out what are the different ways of deploying Python code. Finally, we reviewed a few development environments for Python to help you choose a development environment based on the background they have and the type of project you are going to work on.
The topics we covered in this chapter are beneficial for anyone who is starting a new project involving Python. These discussions help to make the strategy and design decision of a new project promptly and efficiently. In the next chapter, we will investigate how we can modularize the code of a Python project.
