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.

Introduction to PyCharm - The Most Popular IDE for Python
Installing and Configuring PyCharm
Customizing Interpreters and Virtual Environments
Editing and Formatting with Ease
Version Control with Git in PyCharm
Seamless Testing, Debugging, and Profiling
Web Development with JavaScript, HTML, and CSS
Integrating Django in PyCharm
Understanding Database Management with PyCharm
Building a Web Application in PyCharm
Turning On Scientific Mode
Dynamic Data Viewing with SciView and Jupyter
Building a Data Pipeline in PyCharm
More Possibilities with PyCharm Plugins
Future Developments

About the Author

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.

"About this title" may belong to another edition of this title.

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