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Hands-On Application Development with PyCharm

Hands-On Application Development with PyCharm

By : Bruce M. Van Horn II, Quan Nguyen
4.8 (4)
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Hands-On Application Development with PyCharm

Hands-On Application Development with PyCharm

4.8 (4)
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)
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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

Viewing and working with data

When you click on the Data tab, you might be a little underwhelmed. As you can see in Figure 13.6, the real action is further down in the debugger window.

Figure 13.6: Nothing shows up in the Data tab until you select one of the sample sets to view as an array

Figure 13.6: Nothing shows up in the Data tab until you select one of the sample sets to view as an array

Shift your attention to the Python Console panel, which appeared at the bottom of the project window when we ran our program in the console. On the right-hand side of the panel, indicated by the arrow, we can see a section that lists all the variables in our program and their respective values. For single variables such as N, this panel is sufficient. However, if you are using NumPy arrays, as we are, viewing the array in the context of a normal debugger window like this one is problematic.

If you click on the View as Array link, which can also be activated by right-clicking the variable, you can see a spreadsheet-like table in the Data panel. Check out Figure 13...

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