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Hands-On Application Development with PyCharm

You're reading from   Hands-On Application Development with PyCharm Accelerate your Python applications using practical coding techniques in PyCharm

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Product type Paperback
Published in Sep 2019
Publisher Packt
ISBN-13 9781789348262
Length 494 pages
Edition 1st Edition
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Author (1):
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Quan Nguyen Quan Nguyen
Author Profile Icon Quan Nguyen
Quan Nguyen
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Table of Contents (23) Chapters Close

Preface 1. Section 1: The Basics of PyCharm
2. Introduction to PyCharm - the Most Popular IDE for Python FREE CHAPTER 3. Installing and Configuring PyCharm 4. Section 2: Improving Your Productivity
5. Customizing Interpreters and Virtual Environments 6. Editing and Formatting with Ease in PyCharm 7. Version Control with Git in PyCharm 8. Seamless Testing, Debugging, and Profiling 9. Section 3: Web Development in PyCharm
10. Web Development with JavaScript, HTML, and CSS 11. Integrating Django in PyCharm 12. Understanding Database Management with PyCharm 13. Building a Web Application in PyCharm 14. Section 4: Data Science with PyCharm
15. Turning on Scientific Mode 16. Dynamic Data Viewing with SciView and Jupyter 17. Building a Data Pipeline in PyCharm 18. Section 5: Plugins and Conclusion
19. More Possibilities with PyCharm Plugins 20. Future Developments 21. Assessments 22. Other Books You May Enjoy

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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