Statistics for topic pandas
RepositoryStats tracks 663,734 Github repositories, of these 629 are tagged with the pandas topic. The most common primary language for repositories using this topic is Python (323). Other languages include: Jupyter Notebook (220)
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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 ...
Chat with your database or your datalake (SQL, CSV, parquet). PandasAI makes data analysis conversational using LLMs and RAG.
Machine Learning Containers for NVIDIA Jetson and JetPack-L4T
Machine Learning Containers for NVIDIA Jetson and JetPack-L4T
A Full Stack ML (Machine Learning) Roadmap involves learning the necessary skills and technologies to become proficient in all aspects of machine learning, including data collection and preprocessing,...
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 ...
Chat with your database or your datalake (SQL, CSV, parquet). PandasAI makes data analysis conversational using LLMs and RAG.
Machine Learning Containers for NVIDIA Jetson and JetPack-L4T
Data Engine for Manual/Algo Trading: Download/Stream -> Clean -> Store. Supports Data Lakehouse Architecture. Clean Once and Forget.
Time Series Analysis and Forecasting in Python
Lightweight and extensible compatibility layer between dataframe libraries!
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 ...
Chat with your database or your datalake (SQL, CSV, parquet). PandasAI makes data analysis conversational using LLMs and RAG.
Machine Learning Containers for NVIDIA Jetson and JetPack-L4T
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
Buckaroo - The data table UI for Notebooks. Quickly explore dataframes, scroll through dataframes, search, sort, view summary stats and histograms. Works with Pandas, Polars, Jupyter, Marimo, VSCode...
DeepShot is a machine learning model designed to predict NBA game outcomes using advanced team statistics and rolling averages. It combines historical performance trends with contextual game data to d...
Fahmatrix is a lightweight, modern Java library for working with tabular data, inspired by Python's Pandas and rooted in the idea of making data understanding (fahm) easy on the JVM.
A Python tool that converts Excel sheets into Markdown tables with automatic table detection, multi-sheet processing, and interactive mode for complex layouts.
LOTUS: A semantic query engine for fast and easy LLM-powered data processing
Open Source LeetCode for PySpark, Spark, Pandas and DBT/Snowflake
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 ...
Chat with your database or your datalake (SQL, CSV, parquet). PandasAI makes data analysis conversational using LLMs and RAG.
PyGWalker: Turn your dataframe into an interactive UI for visual analysis
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
A series of notebooks that introduce Machine Learning concepts with hands-on practice and its mathematics in brief.
Android Automation Framework for Python on emulators (BlissOs, BlueStacks, LDPlayer, Memu, Mumu, Android Studio ...) and rooted devices WITHOUT ADB!
Start developing and backtesting your own automated trading strategies
This project is about predicting stock prices with more accuracy using LSTM algorithm. For this project we have fetched real-time data from yfinance library.
scores: Metrics for the verification, evaluation and optimisation of forecasts, predictions or models.