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

Creating a scientific project in PyCharm

By now, you’re intimately familiar with the New Project dialog in PyCharm. Let’s create a science project! Click File | New Project, and you’ll find a template called Scientific, as shown in Figure 12.1:

Figure 12.1: Stand back! We’re about to do SCIENCE!

Figure 12.1: Stand back! We’re about to do SCIENCE!

I mentioned earlier, I will be using Anaconda for this section of the book because this is what most data science pros use. The only interesting setting beyond the change in interpreter is the Data folder setting under More Settings. It is setting a folder in our soon-to-be-created project that will hold, you guessed it: data. More on this after we create the project. Go ahead and click Create.

Once the creation process is complete, you’ll find a setup like mine in Figure 12.2:

Figure 12.2: Behold! We have created a science project in PyCharm!

Figure 12.2: Behold! We have created a science project in PyCharm!

Let’s talk about what just happened. We generated...