Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHzLanguage: English | Size: 3.10 GB | Duration: 8h 31m

What you'll learn
Get insight into frequently overlooked Python Development details
Get a clear understanding of Python Development details that confuse even the most experienced Developers
Write the most efficient code - so that you detect errors in advance and prevent them from happening in the first place!

Impress with your deep understanding of the most confusing concepts on Python!
Requirements
As a requirement, you need to know some basic Python. But the more you know, the better.
You need to have installed a very recent version of Python (3.8 + )
We work on Jupyter Notebook and on PyCharm. You need to have installed both, as well as Anaconda Navigator
Description
Most online courses on Python start teaching the very basics of Python and barely touch on the advanced topics, let alone the really difficult and complicated ones.
This course does touch on the more complicated topics of Python development but in a way that even bners can understand.
Python development involves understanding some key topics such as what a metaclass is, what metaclass inheritance is about, how to construct loggers and properly use annotations, how to build classes in a more meaningful way , how to use Polymorphism in Python and many more.
Knowing these details can empower you towards developing Python software, whether this software is for Data Analysis, or whether it is a full-blown Machine Learning model, or an Optimization model, a Forecasting model, etc.
The great majority of courses on Python are related to Data Analysis and Machine Learning, including Artificial Intelligence. However, these algorithms may yield WRONG results if the underlying Python model that has been developed is inefficiently constructed. And most data scientists do not know how these Python development concepts really work, and as a result, they cannot properly test/check the model.
For example, many AI models on Python have metaclass inheritance built-in; and in many cases, these metaclasses are not properly constructed. As a result, they may yield errors that propagate in a very insidious way into the final results, which are wrongly deemed correct.
In conclusion, trust me- you really need this course if you want to make a difference as a Python developer, a Data Scientist, a Data Architect/ Eeer, a software eeer, etc.
Who this course is for
Anyone who wants to master Python
Anyone who wants to gain an understanding of topics that confuse even the most experienced Developers
Anyone who wants to confidently grasp really difficult and frequently overlooked concepts on Python



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