I stepped away from my usual Python modules like #Numpy,#Pandas, #Matplotlib, #Scikit, etc. and ventured into 20 Python modules and APIs I rarely use or have never worked with before, including Poliastro for orbital mechanics, #biopython for Computational Molecular Biology, #pandas_datareader for financial data and stock information and #algorithms for implementing well known CS algorithms.


What I learned:

1. Coding is actually really fun. It seems like a chore when you treat it like a means to a good career or a way to become the next billionaire or world problem solver.

2. I know some people only think of Python in terms of a Data Science, ML or AI sense but a careful investigation would show Python is actually a very thriving language in CS with a very active community that is probably rivalled only by the Linux community in my opinion.

3. Documentation is what separates good code from great code. Others should be able to read your code, use it and contribute meaningfully to it.

4. If you want to understand Object Oriented Programming really well, experiment with Python modules and try to see if you can contribute to a particular module or create one on your own.

Github: https://bit.ly/2F5ezQ1

🗣 @AI_Python_Arxiv
✴️ @AI_Python_EN

DASK CHEATSHEET - FOR PARALLEL COMPUTING IN DATA SCIENCE

You will need Dask when the data is too big

This is the guide from Analytics Vidhya https://lnkd.in/fKVBFhE

#datascience #pydata #pandas
#datascientist

❇️ @AI_Python
🗣 @AI_Python_arXiv
✴️ @AI_Python_EN

Transition guide from Excel’s analyst to Python Programming for Data Analysis

1. From Excel to Pandas https://lnkd.in/fnU5apw
2. Communication & Data Storytelling https://lnkd.in/eqf5gUV
3. Data Manipulation with Python https://lnkd.in/g4DFNpJ
4. Data Visualization with Python (Matplotlib/Seaborn): https://lnkd.in/g_3fx_6
5. Advanced Pandas https://lnkd.in/fZWGp9B
6. Tricks on Pandas by Real Python https://lnkd.in/fXc9XSp
7. Becoming Efficient with Pandas https://lnkd.in/f64hU-Y
8. Pandas Advances Tips https://lnkd.in/fGyBc4c
9. Jupyter Notebook (Beginner) https://lnkd.in/fTFinFi
10. Jupyter Notebook (Advanced) https://lnkd.in/fFufePv

#datavisualization #python #programming #pydata #datasets #pandas #datasets

✴️ @AI_Python_EN

NEW VIDEO: Learn how to write better, more efficient #pandas code 🐼 📺 https://www.youtube.com/watch?v=dPwLlJkSHLo … Download the dataset to follow along with the exercises: 👩‍💻 https://github.com/justmarkham/pycon-2019-tutorial … Become more fluent at using pandas to answer your own #DataScience questions! #Python