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.
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The Data Engineering Cookbook
- data-engineer
- data-engineering
- big-data
- best-practices
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
- pandas-profiling
- pandas-dataframe
- statistics
- jupyter-notebook
The Open Source Feature Store for AI/ML
- machine-learning
- features
- ml
- big-data
Koalas: pandas API on Apache Spark
:truck: Agile Data Preparation Workflows made easy with Pandas, Dask, cuDF, Dask-cuDF, Vaex and PySpark
Read and write Neuroglancer datasets programmatically.
- neuroglancer
- volumetric-data
- python
- cloud