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

(ebook) (audiobook) (audiobook) Książka w języku 1
Autor:
Quan Nguyen
Hands-On Application Development with PyCharm. Accelerate your Python applications using practical coding techniques in PyCharm Quan Nguyen - okladka książki

Hands-On Application Development with PyCharm. Accelerate your Python applications using practical coding techniques in PyCharm Quan Nguyen - okladka książki

Hands-On Application Development with PyCharm. Accelerate your Python applications using practical coding techniques in PyCharm Quan Nguyen - audiobook MP3

Hands-On Application Development with PyCharm. Accelerate your Python applications using practical coding techniques in PyCharm Quan Nguyen - audiobook CD

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Stron:
494
Dostępne formaty:
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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.

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O autorze książki

Quan Nguyen is a Python programmer and machine learning enthusiast. He is interested in solving decision-making problems under uncertainty. Quan has authored several books on Python programming and scientific computing. He is currently pursuing a Ph.D. degree in computer science at Washington University in St. Louis, researching Bayesian methods in machine learning.

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