

Hands-On Application Development with PyCharm (ebook)



Hands-On Application Development with PyCharm (ebook) - Najlepsze oferty
Hands-On Application Development with PyCharm (ebook) - Opis
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. Spis treści: 1. Introduction to PyCharm - The Most Popular IDE for Python2. Installing and Configuring PyCharm3. Customizing Interpreters and Virtual Environments4. Editing and Formatting with Ease5. Version Control with Git in PyCharm6. Seamless Testing, Debugging, and Profiling7. Web Development with JavaScript, HTML, and CSS8. Integrating Django in PyCharm9. Understanding Database Management with PyCharm10. Building a Web Application in PyCharm11. Turning On (...) więcej Scientific Mode12. Dynamic Data Viewing with SciView and Jupyter13. Building a Data Pipeline in PyCharm14. More Possibilities with PyCharm Plugins15. Future Developments O autorze: 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. mniejHands-On Application Development with PyCharm (ebook) - Opinie i recenzje
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