Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media.
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Simple plotting for Python. Wrapper for D3xterjs; easily render charts in-browser.
Short for Python Dynamics, used to assist with workflow in the modelling of dynamic motion based around NumPy, SciPy, IPython, and matplotlib.
pygal applies AI to data analysis, extraction, visualization, or business intelligence.
PyGPT is an open‑source desktop AI assistant for Windows, macOS and Linux. Chat, agents, web search, run Python, TTS/STT, plugins, long‑term memory.
Peer-to-peer network of data owners and data scientists who can collectively train AI models using PySyft.
Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.
Markov Chain Monte Carlo sampling toolkit.
Python Library for Probabalistic Programming (Bayesian Inference and Machine Learning).
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
A pure-python graphics and GUI library built on PyQt4 / PySide and NumPy.
Pyramidal Flow Matching for Efficient Video Generative Modeling.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Python interface for converting Penn Treebank trees to Stanford Dependencies.
A Python library for secure and private Deep Learning built on PyTorch and TensorFlow.
Open-source project that creates or edits images with generative AI and text-based controls.
Python creates or edits images with generative AI and text-based controls.
This fast-paced intro to programming with Python will have you writing code, solving problems, and making cool projects in no time.
Helps find, analyze or synthesize information for research and knowledge discovery.
Course for Python programming for the Humanities, assuming no prior knowledge. Heavy focus on text processing / NLP.
Supports software work with AI-assisted coding, testing or application development.
Python binding to Frog, an NLP suite for Dutch. (pos tagging, lemmatisation, dependency parsing, NER).