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 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...