The 30 Days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than 100 days. Follow your own pace. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw
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Summer 2027 software engineering, data science, AI, quant, product management, and hardware internship postings. Updated daily by Simplify and Pitt CSC.
- interview-preparation
- internships
- jobs
- university
:hedgehog: PostHog is the leading platform for building self-driving products. Our developer tools – AI observability, analytics, session replay, flags, experiments, error tracking, logs, and more – capture all the context agents need to diagnose problems, uncover opportunities, and ship fixes. Steer it all from Slack, web, desktop, or the MCP.
💫 Industrial-strength Natural Language Processing (NLP) in Python
:zap: A Fast, Extensible Progress Bar for Python and CLI
- progressbar
- progressmeter
- progress-bar
- meter
Open-source data movement for ELT pipelines and AI agents — from APIs, databases & files to warehouses, lakes, and AI applications. Both self-hosted and Cloud.
The best free and open-source automated time tracker. Cross-platform, extensible, privacy-focused.
- quantified-self
- activitywatch
- productivity
- time-tracking
GenBI (Generative BI) for AI agents, an open-source, governed text-to-SQL through an open context layer that turns natural-language questions into trusted dashboards, charts, and SQL across 20+ data sources, such as BigQuery, Snowflake, PostgreSQL, ClickHouse, Amazon Redshift, Databricks and more.
- bigquery
- duckdb
- llm
- postgresql
🪄 Data Formulator is an interactive AI-powered data analysis system makes it easy to connect, explore and visualize data.
Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.
- ipython
- jupyter
- data-science
- python
Research and development (R&D) is crucial for the enhancement of industrial productivity, especially in the AI era, where the core aspects of R&D are mainly focused on data and models. We are committed to automating these high-value generic R&D processes through R&D-Agent, which lets AI drive data-driven AI. 🔗https://aka.ms/RD-Agent-Tech-Report
- agent
- ai
- automation
- data-mining
Draw pretty maps from OpenStreetMap data! Built with osmnx +matplotlib + shapely
- matplotlib
- jupyter-notebook
- python
- generative-art
Build, Manage and Deploy AI/ML Systems
- machine-learning
- model-management
- ai
- ml
the portable Python dataframe library
MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.
- cntk
- visualization
- tensorflow
- model-converter
Python tools for geographic data
- geoparquet
- geospatial
- pandas
- python
A light-weight, flexible, and expressive statistical data testing library
- pandas
- validation
- schema
- dataframes
Visual analysis and diagnostic tools to facilitate machine learning model selection.
- machine-learning
- visual-analysis
- model-selection
- visualization
Impress your boss and turn a Jupyter notebook into a beautiful, shareable web app — no callbacks, no frontend, no rewrite.
- notebook-jupyter
- notebooks-jupyter
- notebook-application
- notebook-publish
pandas on AWS - Easy integration with Athena, Glue, Redshift, Timestream, Neptune, OpenSearch, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQL, MySQL, SQLServer and S3 (Parquet, CSV, JSON and EXCEL).
A Python package for interactive geospatial analysis and visualization with Google Earth Engine.
- google-earth-engine
- gis
- remote-sensing
- image-processing
A Python package for interactive mapping and geospatial analysis with minimal coding in a Jupyter environment
- ipyleaflet
- folium
- mapping
- python
Main repository for Vispy
- hacktoberfest
- python
- opengl
- visualization
Modern, privacy-friendly, and detailed web analytics that works without cookies or JS.
- web-analytics
- monitoring
- django
- python