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Hands-On Application Development with PyCharm

You're reading from   Hands-On Application Development with PyCharm Build applications like a pro with the ultimate python development tool

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Product type Paperback
Published in Oct 2023
Publisher Packt
ISBN-13 9781837632350
Length 652 pages
Edition 2nd Edition
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Authors (2):
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Quan Nguyen Quan Nguyen
Author Profile Icon Quan Nguyen
Quan Nguyen
Bruce M. Van Horn II Bruce M. Van Horn II
Author Profile Icon Bruce M. Van Horn II
Bruce M. Van Horn II
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Table of Contents (24) Chapters Close

Preface 1. Part 1: The Basics of PyCharm
2. Chapter 1: Introduction to PyCharm – the Most Popular IDE for Python FREE CHAPTER 3. Chapter 2: Installing and Configuring PyCharm 4. Part 2: Improving Your Productivity
5. Chapter 3: Customizing Interpreters and Virtual Environments 6. Chapter 4: Editing and Formatting with Ease in PyCharm 7. Chapter 5: Version Control with Git in PyCharm 8. Chapter 6: Seamless Testing, Debugging, and Profiling 9. Part 3: Web Development in PyCharm
10. Chapter 7: Web Development with JavaScript, HTML, and CSS 11. Chapter 8: Building a Dynamic Web Application with Flask 12. Chapter 9: Creating a RESTful API with FastAPI 13. Chapter 10: More Full Stack Frameworks – Django and Pyramid 14. Chapter 11: Understanding Database Management in PyCharm 15. Part 4: Data Science with PyCharm
16. Chapter 12: Turning On Scientific Mode 17. Chapter 13: Dynamic Data Viewing with SciView and Jupyter 18. Chapter 14: Building a Data Pipeline in PyCharm 19. Part 5: Plugins and Conclusion
20. Chapter 15: More Possibilities with Plugins 21. Chapter 16: Your Next Steps with PyCharm 22. Index 23. Other Books You May Enjoy

Summary

Testing, debugging, and profiling are high-level tasks we can use to analyze applications to look for improvements in correctness and performance, but they can be quite confusing to beginner developers. PyCharm offers straightforward and intuitive interfaces for these processes, making them more accessible and streamlined.

Unit testing is the process of making sure the individual components of a large system work as intended. PyCharm has convenient commands to generate test skeletons/boilerplate code that usually takes time for developers to write manually. While testing a program, it is important to consider expected faults, as well as the obvious tests for intended functionality.

In a debugging session, developers attempt to narrow down and identify the causes of bugs and errors that are detected during testing. With a graphical interface, combined with various options to track the values of variables throughout a program, PyCharm allows us to debug our programs dynamically...

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