Showing 61-80 of 111 projects
Learn Python in 30 days for entrepreneurs
A Python library for quickly loading, shaping, embedding, and exploring big graphs with GPU-accelerated Graphistry visual graph analyzer.
Hamilton is an open-source ETL framework that helps data scientists and engineers build modular, testable dataflows with lineage and metadata.
A fast numerical array expression evaluator for Python, NumPy, Pandas, PyTables and more.
A comprehensive Python tutorial covering the language's fundamentals, advanced features, and popular data science libraries.
A comprehensive resource for learning machine learning and deep learning using Python and popular libraries.
A simple Python wrapper for the Tabula Java library, which extracts tables from PDF files into Pandas DataFrames.
ArcticDB is a high-performance, serverless DataFrame database for the Python data science ecosystem.
A unified interface for distributed computing on Spark, Dask and Ray without any rewrites.
This repository helps developers learn Python and Machine Learning from scratch.
A collection of Python code, notebooks, and examples for practical business data analysis and visualization.
This repository appears to be an abandoned project focused on learning materials related to the 'qiang-guo' (ๅผบๅฝ) initiative, rather than a developer tool or platform.
A pandas tutorial for intermediate developers using Jupyter Notebook
A Python statistical package based on Pandas, providing various statistical methods and tests.
This repository provides comprehensive tutorials and resources for learning data science and machine learning using Python.
A Jupyter Notebook tutorial on using the Pandas library for real-life data analysis examples.
A Python AutoML library for building trading systems and sports betting models.
commaai/panda is a low-level library for interacting with the comma.ai panda hardware device, used for automotive applications.
General Assembly's 2015 Data Science course covering topics like machine learning, data analysis, and data visualization.
A collection of articles and source code on using the pandas data analysis library.
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