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

Product type Paperback

Published in Sep 2019

Publisher Packt

ISBN-13 9781789348262

Length 494 pages

Edition 1st Edition

Languages

Python

Tools

PyCharm

Concepts

Application Development

Author (1):

Quan Nguyen

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Table of Contents (23) Chapters

Preface

1. Section 1: The Basics of PyCharm FREE CHAPTER

2. Introduction to PyCharm - the Most Popular IDE for Python

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

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Questions

Programmers typically develop their code with an editor or an IDE. What is the difference between the two, and which one is PyCharm?
Why do some think that an IDE for Python development might be inappropriate or unnecessary?
What is the recommended strategy for using an IDE for Python development?
What are some key features of PyCharm? Of those features, which give PyCharm an edge over other editors/IDEs?
What are the two editions of PyCharm? What are the key differences between them?
Who should use the Community Edition of PyCharm? Who should use the Professional Edition of PyCharm?

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Authors (1)

Quan Nguyen

Quan Nguyen, the author of the first edition of this book, is a Python programmer with a strong passion for machine learning. He holds a dual degree in mathematics and computer science, with a minor in philosophy, earned from DePauw University. Quan is deeply involved in the Python community and has authored multiple Python books, contributing to the Python Software Foundation and regularly sharing insights on DataScience portal. He is currently pursuing a Ph.D. in computer science at Washington University in St. Louis.

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