Top 10 Python Libraries for a Data Scientist

 Looking to become a data scientist?

 Start with learning these 10 Python libraries:

1. Pandas - https://pandas.pydata.org/ 
2. NumPy - http://www.numpy.org/ 
3. SciPy - https://lnkd.in/gvzvTuJ 
4. Scikit-learn - https://lnkd.in/gp5NtTV 
 5. Statsmodels - https://lnkd.in/giqRebt 
6. NLTK - https://www.nltk.org/ 
7. Plotly - https://plot.ly/  
8. Matplotlib - https://matplotlib.org/ 
9. Tensorflow - https://lnkd.in/gN9szPQ 
10. Keras - https://keras.io/ 
Bonus: seaborn - https://lnkd.in/gCVzV_8 

A great way to start is simply by reading the documentation. And make sure to check out the amazing scikit-learn tutorials here: https://lnkd.in/g2yTmep 
  
Master the above 10 libraries and you'll have the right tools in your tool belt to do data science with Python. And if you're learning your first programming language to become a data scientist... start with Pytho.

Post by Kyle McKiou through Linkedin.