Book Image

Hands-On Application Development with PyCharm - Second Edition

By : Bruce M. Van Horn II, Quan Nguyen
5 (1)
Book Image

Hands-On Application Development with PyCharm - Second Edition

5 (1)
By: Bruce M. Van Horn II, Quan Nguyen

Overview of this book

In the quest to develop robust, professional-grade software with Python and meet tight deadlines, it’s crucial to have the best tools at your disposal. In this second edition of Hands-on Application Development with PyCharm, you’ll learn tips and tricks to work at a speed and proficiency previously reserved only for elite developers. To achieve that, you’ll be introduced to PyCharm, the premiere professional integrated development environment for Python programmers among the myriad of IDEs available. Regardless of how Python is utilized, whether for general automation scripting, utility creation, web applications, data analytics, machine learning, or business applications, PyCharm offers tooling that simplifies complex tasks and streamlines common ones. In this book, you'll find everything you need to harness PyCharm's full potential and make the most of Pycharm's productivity shortcuts. The book comprehensively covers topics ranging from installation and customization to web development, database management, and data analysis pipeline development helping you become proficient in Python application development in diverse domains. By the end of this book, you’ll have discovered the remarkable capabilities of PyCharm and how you can achieve a new level of capability and productivity.
Table of Contents (24 chapters)
1
Part 1: The Basics of PyCharm
4
Part 2: Improving Your Productivity
9
Part 3: Web Development in PyCharm
15
Part 4: Data Science with PyCharm
19
Part 5: Plugins and Conclusion

Data viewing made easy with PyCharm’s SciView panel

We took a 10,000-foot view of the SciView panel in Chapter 12, so we know what’s coming. We know SciView is a panel that allows us to visualize our data graphically, alongside a second panel that allows us easy and integrated access to documentation for the more complex data science libraries at play in a typical scientific project.

In order to see this magic in action, we’re going to revisit some code we wrote back in Chapter 12, with a small enhancement. Rather than having you go back into the code for Chapter 12, I’ve copied the project into the Chapter 13 folder in the repository so everything is together. You can find it in the chapter-13/sci_view_panel project within the main.py file. Don’t forget you’ll need to install the requirements within the requirements.txt file in a virtual environment in order to use the sample project. If you need a refresher on how to do this, refer back...