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

Summary

In this chapter, we have considered the ability to work with multiple types of Python projects, virtual environments, and interpreters in PyCharm. Overall, PyCharm provides a wide range of options so that users are able to customize their projects, and they can do it in a dynamic way, even after a project has already been created.

In the Professional edition of PyCharm, you can have specific types of Python projects created, such as Django/Flask web development projects or scientific computing projects. This option will populate the new project with various boilerplate code and a directory structure that follows the convention of the corresponding project type. For example, a new Django project will have a templates folder and a manage.py file, while a scientific computing project will have commonly used folders such as data, models, and notebooks.

It is important to...