PyCharm: Working Professionally with Python [ru]

Sauron said:

PyCharm is the best professional development environment for Python programmers among the many available IDEs. Regardless of the purpose of using Python - for general automation tasks, creating utilities, web applications, data analysis, machine learning, or business applications - PyCharm tools simplify the implementation of complex tasks and optimize overall productivity.
You will learn the basic and advanced features of PyCharm, learn how to develop web applications with Flask, Django, FastAPI and Pyramid, master code automation, debugging and remote development in PyCharm, and learn how to perform data processing tasks using Jupyter notebooks, NumPy libraries, pandas and others.
The publication is addressed to both experienced Python developers and beginners.​

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Sauron said:

PyCharm is the best professional development environment for Python programmers among the many available IDEs. Regardless of the purpose of using Python - for general automation tasks, creating utilities, web applications, data analysis, machine learning, or business applications - PyCharm tools simplify the implementation of complex tasks and optimize overall productivity.
You will learn the basic and advanced features of PyCharm, learn how to develop web applications with Flask, Django, FastAPI and Pyramid, master code automation, debugging and remote development in PyCharm, and learn how to perform data processing tasks using Jupyter notebooks, NumPy libraries, pandas and others.
The publication is addressed to both experienced Python developers and beginners.​

[Hidden content]

Click to expand...

Sauron said:

PyCharm is the best professional development environment for Python programmers among the many available IDEs. Regardless of the purpose of using Python - for general automation tasks, creating utilities, web applications, data analysis, machine learning, or business applications - PyCharm tools simplify the implementation of complex tasks and optimize overall productivity.
You will learn the basic and advanced features of PyCharm, learn how to develop web applications with Flask, Django, FastAPI and Pyramid, master code automation, debugging and remote development in PyCharm, and learn how to perform data processing tasks using Jupyter notebooks, NumPy libraries, pandas and others.
The publication is addressed to both experienced Python developers and beginners.​

[Hidden content]

Click to expand...