Book Image

Hands-On Application Development with PyCharm

By : Quan Nguyen
Book Image

Hands-On Application Development with PyCharm

By: Quan Nguyen

Overview of this book

JetBrain’s PyCharm is the most popular Integrated Development Environment (IDE) used by the Python community thanks to its numerous features that facilitate faster, more accurate, and more productive programming practices. However, the abundance of options and customizations can make PyCharm seem quite intimidating. Hands-on Application Development with PyCharm starts with PyCharm’s installation and configuration process, and systematically takes you through a number of its powerful features that can greatly improve your productivity. You’ll explore code automation, version control, graphical debugging/testing, management of virtual environments, and much more. Finally, you’ll delve into specific PyCharm features that support web development and data science, two of the fastest growing applications in Python programming. These include the integration of the Django framework as well as the extensive support for IPython and Jupyter Notebook. By the end of this PyCharm book, you will have gained extensive knowledge of the tool and be able to implement its features and make the most of its support for your projects.
Table of Contents (23 chapters)
Free Chapter
1
Section 1: The Basics of PyCharm
4
Section 2: Improving Your Productivity
9
Section 3: Web Development in PyCharm
14
Section 4: Data Science with PyCharm
18
Section 5: Plugins and Conclusion

Chapter 4

  1. There are, in total, three possible levels of severity indicated in the top-right corner of the editor: errors (), warnings (), and nothing detected (). It is generally good practice to address any problems in your code if the severity is either error or warning before using it or committing it to GitHub.
  1. Some of the most common problems in Python code detected by PyCharm are dead code, unused declarations, unresolved references, and PEP 8 style suggestions. Each of these problems can be addressed with various simple and convenient commands in PyCharm.
  2. The approach of code completion support from JetBrains' products in general, and not just PyCharm, is smart code completion, which only looks for the most applicable and most likely APIs to suggest in the pop-up list. Additionally, the logic that's used by code completion in PyCharm can be customized by users...