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.

Table of Contents

1. Introduction to PyCharm - The Most Popular IDE for Python
2. Installing and Configuring PyCharm
3. Customizing Interpreters and Virtual Environments
4. Editing and Formatting with Ease
5. Version Control with Git in PyCharm
6. Seamless Testing, Debugging, and Profiling
7. Web Development with JavaScript, HTML, and CSS
8. Integrating Django in PyCharm
9. Understanding Database Management with PyCharm
10. Building a Web Application in PyCharm
11. Turning On Scientific Mode
12. Dynamic Data Viewing with SciView and Jupyter
13. Building a Data Pipeline in PyCharm
14. More Possibilities with PyCharm Plugins
15. Future Developments

Quan Nguyen is a data scientist and Python enthusiast. He has a dual degree in mathematics and computer science, with a minor in philosophy, from DePauw University. Quan is interested in scientific computing and machine learning and enjoys incorporating technology automation into everyday tasks through programming.

Quan's passion for Python has led him to be heavily involved in the Python community. He started as a primary contributor to the book Python for Scientists and Engineers and various open source projects on GitHub. Quan is also a writer for the Python Software Foundation and a content contributor for DataScience.com. He is currently pursuing a Ph.D. in computer science at Washington University in St. Louis.