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

Section 2: Improving Your Productivity

This section starts with Chapter 3, Customizing Interpreters and Virtual Environments. In this section, we will be discussing the features and functionalities of PyCharm that make it one of the best, and definitely the most popular, development environments for Python programming. From intelligent coding assistance to syntax highlighting and suggestions, PyCharm offers a convenient way of following best programming practices in real time as you work on your projects. Furthermore, the tedious management tasks of organizing packages, interpreters, and virtual environments are also taken care of in a straightforward manner.

Python development (or developing in any programming language, for that matter) does not only involve writing code; it also consists of testing, debugging, and profiling—important procedures in programming that are...