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Hands-On Application Development with PyCharm

Hands-On Application Development with PyCharm

By : Quan Nguyen
5 (3)
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Hands-On Application Development with PyCharm

Hands-On Application Development with PyCharm

5 (3)
By: Quan Nguyen

Overview of this book

JetBrain’s PyCharm is the most popular Integrated Development Environment (IDE) used by the Python community thanks to its numerous features that facilitate faster, more accurate, and more productive programming practices. However, the abundance of options and customizations can make PyCharm seem quite intimidating. Hands-on Application Development with PyCharm starts with PyCharm’s installation and configuration process, and systematically takes you through a number of its powerful features that can greatly improve your productivity. You’ll explore code automation, version control, graphical debugging/testing, management of virtual environments, and much more. Finally, you’ll delve into specific PyCharm features that support web development and data science, two of the fastest growing applications in Python programming. These include the integration of the Django framework as well as the extensive support for IPython and Jupyter Notebook. By the end of this PyCharm book, you will have gained extensive knowledge of the tool and be able to implement its features and make the most of its support for your projects.
Table of Contents (23 chapters)
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1
Section 1: The Basics of PyCharm
4
Section 2: Improving Your Productivity
9
Section 3: Web Development in PyCharm
14
Section 4: Data Science with PyCharm
18
Section 5: Plugins and Conclusion

Customizing Interpreters and Virtual Environments

This is the first chapter of the second section of this book, where we will focus on the options and features in PyCharm that look to improve our productivity. In the previous chapter, we started discussing the process of creating Python projects in PyCharm and how to navigate through options to create and run Python files in a project window. This chapter picks up from where we left off, and will go through the other options provided by PyCharm so that we can customize our workspace, specifically to add in panels and tools to improve our productivity.

This chapter will also lay out a detailed guide regarding different types of projects that can be created in PyCharm. Next, we will discuss the management of Python interpreters and virtual environments between different projects, and how PyCharm makes it dynamic and convenient....

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