Repository Index

The 30 Days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than 100 days. Follow your own pace. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw

• 30-days-of-python
• python
• flask
• github

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

• python
• machine-learning
• deep-learning
• data-science

Open Machine Learning Course

• machine-learning
• data-analysis
• data-science
• pandas

Python+Numpy+OpenGL: fast, scalable and beautiful scientific visualization

• python
• numpy
• opengl
• engine

Don't memorize ML. Understand it from first principles including Inference, Cuda, Deep Learning, Data Science and Reinforcement Learning

• cli
• deep-learning
• education
• from-scratch

Pandas, Polars, Spark, and Snowpark DataFrame comparison for humans and more!

• python
• pandas
• spark
• data