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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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Toc

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

Chapter 6

  1. Testing in software development is looking for inconsistencies and errors in our programs and code. There are several different testing methods with varying levels of abstraction:
  • Unit testing: Looking at the individual unit components of a given program
  • Integration testing: Looking at groups of unit components while they're working together
  • System testing: Looking at the complete software as a whole
  1. PyCharm offers convenient commands to generate test skeletons/boilerplate code that usually take time for developers to manually write.
  2. Debugging is, in essence, narrowing down and identifying the causes for bugs and errors that have been detected during testing.
  1. With a graphical interface combined with various options to track the values of variables throughout a program (inline debugging, watchers, evaluating expressions on the fly, and more), PyCharm allows...
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