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TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
Python Data Science Handbook: full text in Jupyter Notebooks
This repository contains all the DSA (Data-Structures, Algorithms, 450 DSA by Love Babbar Bhaiya, FAANG Questions), Technical Subjects (OS + DBMS + SQL + CN + OOPs) Theory+Questions, FAANG Intervie…
Recipes for using Python's pandas library
From the basics to slightly more interesting applications of Tensorflow
Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.
The accompanying files for the book 'Dataviz with Python and JavaScript'
A Jupyter notebook to accompany Jake VanderPlas's "Statistics for Hackers" talk from PyCon 2016.
Intro to Testing in Data Science Tutorial
A short hands-on of CNN using Stanford CS231n online material
Introduction to Pandas - using IPython notebook. / Pandas 入門介紹 教學講義。
A containerized approach using Apache Kafka, Spark, Cassandra, Hive, Jupyter, and Docker-compose.