Apache Spark & Python (pySpark) tutorials for Big Data Analysis and Machine Learning as IPython / Jupyter notebooks
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Digital Signal Processing - Theory and Computational Examples
Jupyter Interactive Notebook
Some notebook examples related to Apache Spark, IPython / Jupyter, Zeppelin
A Machine Learning API with native redis caching and export + import using S3. Analyze entire dat...
IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
Co-Coder is a Python package that streamlines error debugging from Open AI chat GPT and Google Ba...
The backend—i.e. core services, APIs, and REST endpoints—to Jupyter web applications.
[Book-2019] Pragmatic AI: An Introduction to Cloud-based Machine Learning
JupyterLab computational environment.
Build animated charts in Jupyter Notebook and similar environments with a simple Python syntax.
Continuous- and Discrete-Time Signals and Systems - Theory and Computational Examples
Plotting library for IPython/Jupyter notebooks
A growing collection of Jupyter Notebooks written in Python, OCaml and Julia for science examples...
An extremely fast Python linter and code formatter, written in Rust.