AX: GPU- and TPU-backed #NumPy with differentiation and JIT compilation. https://github.com/google/jax

✴️ @AI_Python_EN
❇️ @AI_Python

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

HOW TO LEARN PYTHON FOR DATA SCIENCE?

Someone ask me to update how to learn data science and please give R alternative as well, so I make it relevant to today standard

✅ Step 1
Building Learning Path
https://lnkd.in/fduvKgb

✅ Step 2
Download and Install Anaconda
https://lnkd.in/gWHY_ij

✅ Step 3
a. Learn the basics of Python (Lists, Tuples, Dictionaries, etc)
b. Understand the basics of data structures and algorithms
https://lnkd.in/gYKnJWN

✅ Step 4
Do more practice problems in Python
Codeacademy: https://lnkd.in/gGQ7cuv

✅ Step 5
Learn the scientific libraries (NumPy, SciPy, Pandas)
Pandas: https://lnkd.in/g4DFNpJ

✅ Step 6
Machine Learning with Scikit-Learn
Machine Learning in 20min: https://lnkd.in/g-Su_um
Scikit-Learn Tutorial: https://lnkd.in/gSThdRD

✅ Step 7:
Practice your machine learning skills
Kaggle Machine Learning Tutorial: https://lnkd.in/gT5nNwS

✅ Step 8:
Practice advanced library
a.PyTorch
https://lnkd.in/fzS52P9

b.TensorFlow
https://lnkd.in/fXKQkGy

c.Dlib
https://lnkd.in/fzPM2Gs

Kaggle Machine Learning Tutorial: https://lnkd.in/gT5nNwS

#machinelearning #datascience #python #scikitlearn #numpy #algorithms

✴️ @AI_Python_EN
❇️ @AI_Python
🗣 @AI_Python_arXiv