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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
Languages
Tools
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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 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

Section 3: Web Development in PyCharm

This section starts with Chapter 7, Web Development with JavaScript, HTML, and CSS. This section mainly deals with various aspects of web development projects in Python and how PyCharm facilitates support in those regards. First, we will discuss editing web development languages such as JavaScript, HTML, and CSS, as well as how to work with the Django framework (which is one of the two most popular web frameworks in Python, along with Flask) within PyCharm. We will look at all of the important features in PyCharm that help to streamline and support Python web development tasks.

We will learn how to use PyCharm to work with databases and integrate them into our web development projects. We will also look at options in PyCharm that allow the visualization of relational databases, making thinking/rationalizing about the data included in databases...

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