{"id":5506,"date":"2026-08-10T09:23:34","date_gmt":"2026-08-10T09:23:34","guid":{"rendered":"https:\/\/nokobox.com\/index.php\/item\/talk-python-modern-python-projects-2021-4\/"},"modified":"2026-08-10T09:23:34","modified_gmt":"2026-08-10T09:23:34","slug":"talk-python-modern-python-projects-2021-4","status":"publish","type":"digital_item","link":"https:\/\/nokobox.com\/index.php\/item\/talk-python-modern-python-projects-2021-4\/","title":{"rendered":"Talk Python \u2013 Modern Python Projects 2021-4"},"content":{"rendered":"
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Descriptions<\/h2>\n

Modern Python Projects, There\u2019s a long way from writing your first print(\u201chello world\u201d) to shipping a Python application. Installing new packages without breaking others, choosing the best tools that will still be maintained in a few years, figuring out what\u2019s the \u201cPythonic\u201d code that everyone keeps talking about, moving files around to avoid import errors, writing tests even when you don\u2019t have time, or making sure that your documentation is up to date \u2013 those are some of the struggles that you might encounter. This course helps you solve those problems. It takes you through all the steps of a typical Python project \u2013 from setting up a good project structure, managing dependencies, adding tests, writing documentation, setting up continuous integration, and finally \u2013 deploying it. This course explains how to improve your code with various static analysis tools. It gives you the tools for installing new packages or updating the Python version without messing it up. It shows you how to build popular types of Python projects like a CLI application or Python package. It even helps you configure the VS Code editor for the best experience when coding in Python!<\/p>\n

What you\u2019ll learn<\/h3>\n