Hands-On Application Development with PyCharm

A definitive guide to PyCharm to help you build business-oriented Python applications ranging from modern web development to data science


Key Features

Learn basic to advanced PyCharm concepts to improve efficiency of your Python projects

Work through practical examples that focus on efficient application development with PyCharm

Explore advanced features in PyCharm such as code automation, version control, and GUI debugging


Book Description

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.


What you will learn

Explore PyCharm functionalities and what makes it stand out from other Python IDEs

Set up, configure, and customize your Python projects in PyCharm

Understand how PyCharm integrates with Django for web development

Discover PyCharm's capabilities in database management and data visualization

Perform code automation, GUI testing, and version control in PyCharm

Integrate interactive Python tools such as Jupyter Notebooks for building virtual environments


Who this book is for

If you're a beginner or an expert Python user looking to improve your productivity using one of the best Python IDEs, this book is for you. Basic knowledge of Python programming language is expected.