Hands-On Application Development with PyCharm: Accelerate your Python applications using practical coding techniques in PyCharm

Hands-On Application Development with PyCharm: Accelerate your Python applications using practical coding techniques in PyCharmReviews
Author: Quan Nguyen
Pub Date: 2019
ISBN: 978-1789348262
Pages: 494
Language: English
Format: EPUB
Size: 138 Mb

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