Python for Data Science and Data Analysis Explained for Beginners- Part II

Get a look at our course on data science and AI here:
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Python is a powerful and default language for Data Science and Machine Learning. In this first part of our video series in Python, the AI Expert Kashif Murtaza explains to you in deep the basics of Python from Scratch.
In the second part of this video tutorial, you will go in deep and learn more about data science libraries like Pandas, NumPy, Scikit-learn, or Matplotlib.

⭐️ Course Contents ⭐️
⌨️ (0:00:00) Introduction to the Course and Outline
⌨️ (0:03:05) Data Set in Python
⌨️ (0:04:16) Control Flow in Python
⌨️ (0:33:15) Function in Python
⌨️ (0:48:55) Module in Python
⌨️ (0:51:39) Data Science Python Libraries -NumPy
⌨️ (1:14:54) Data Science Python Libraries -Pandas
⌨️ (1:28:05) Data Science Python Libraries -Matplotlib

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[purplebroccoli]

Sir you are the python teacher on earth!
Thank you so much, learning with you makes everything feel easy.

[anasgourzi]

Thank you so much for all the effort you made to explain well all the basis related to Python.
I have only one question.
I tried to experiment this program:

def add(*args):
s = 0
for i in range(len(args)):
s == s+args[i]
return s
L = [1, 5, 36, 8]
print(add(*L))

But the result was 0!! Can you explain why??