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Tip and trick related to data processing
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 than100 days, follow your own pace. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
Python Data Science Handbook: full text in Jupyter Notebooks
10 Weeks, 20 Lessons, Data Science for All!
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
???AI-driven database tool and SQL client, The hottest GUI client, supporting MySQL, Oracle, PostgreSQL, DB2, SQL Server, DB2, SQLite, H2, ClickHouse, and more.
? The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools
Chat with your database or your datalake (SQL, CSV, parquet). PandasAI makes data analysis conversational using LLMs and RAG.
? 实时 零代码、全功能、强安全 ORM 库 ? 后端接口和文档零代码,前端(客户端) 定制返回 JSON 的数据和结构 ? Real-Time coding-free, powerful and secure ORM ? providing APIs and Docs without coding by Backend, and the returned JSON of API can be customized by Frontend(Client) users
大数据入门指南 :star: