An open API service indexing awesome lists of open source software.

NumPy

NumPy is an open source library for the Python programming language, adding support for large, multidimensional arrays, and matrices, along with a large collection of high-level mathematical functions to operate on these arrays.

https://github.com/akansharajput280799/data-exploration-and-visualization-for-streaming-platform

Data Analysis and Visualization for streaming platform to provide insights and recommendations to improve their userbase.

data-visualization excel exploratory-data-analysis matplotlib numpy python seaborn

Last synced: 08 May 2026

https://github.com/deepcloudlabs/dcl702-2020-sep-16

DCL-702: Data Analytics using Python

data-analytics numpy pandas python python-3

Last synced: 08 May 2026

https://github.com/sahil210695/numpy-basics

A brief overview of NumPy basics

data-science numpy numpy-tutorial python

Last synced: 08 May 2026

https://github.com/omogbolahan94/movies-budget-revenue-analysis

Data exploration, data cleaning, data analysis and predictive analysis

dataframe linear-regression matplotlib numpy pandas seaborn statistical-analysis

Last synced: 08 May 2026

https://github.com/chdl17/credit-eda-casestudy

Credit EDA is a GitHub repository designed to provide educational materials and tools for exploring credit risk data. The repository contains notebooks, datasets, and code samples to help users learn and apply these concepts to credit data.

exploratory-data-analysis numpy pandas

Last synced: 08 May 2026

https://github.com/icejan/predicton-systems

Various systems that train on data and generate a prediction

lightfm machine-learning numpy python scikit-learn

Last synced: 08 May 2026

https://github.com/amiralisajadi/image-classification-neural-network

Custom deep learning model for binary image classification. Entirely built from scratch in Python with NumPy, including all ML functions, activations, and optimizations.

deep-learning image-classification image-classification-model machine-learning neural-networks numpy

Last synced: 08 May 2026

https://github.com/diegodscamara/whisperlive

🎙️ WhisperLive: Real-time audio transcription powered by OpenAI's Whisper model. Convert live speech to text with high accuracy, supporting multiple languages and real-time processing. Perfect for accessibility, content creation, and live captioning.

ai blackhole numpy python wave whisper

Last synced: 09 May 2026

https://github.com/alejandrolara11/data-preprocessing

Data preprocessing through the use of the libraries NumPy and pandas.

data-analysis data-cleaning data-preprocessing numpy pandas python

Last synced: 09 May 2026

https://github.com/aymen016/leetcode-problems

This repo is designed to enhance your problem-solving skills through daily coding challenges, complete with clear explanations and well-structured solutions. 🎯

coding decision-making leetcode-python leetcode-solutions numpy problem-solving python

Last synced: 09 May 2026

https://github.com/brian-hepler-phd/kak-decomposition-qml

Cartan decomposition (SU(4)) via Lie theory and QML – exact + variational approaches for two-qubit gates.

lie-theory machine-learning numpy pennylane qml quantum-computing quantum-gate-decomposition scipy su4

Last synced: 09 May 2026

https://github.com/sivasurya681/financial-expense-tracker

The Financial Expense Tracker is a Python-based app built with Flet, Pandas, NumPy, and Matplotlib.pyplot for seamless expense management. It enables real-time tracking, categorization, and data visualization through bar and pie charts. Users can generate summaries, export/import data, and make informed financial decisions easily.

calculator-application differntial expense-tracker flet matplotlib-pyplot numpy pandas python salary-calculator total

Last synced: 09 May 2026

https://github.com/mairagalvao/final_grades

An analysis of the final grades of students using Python

matplotlib numpy pandas python3

Last synced: 09 May 2026

https://github.com/chuvalniy/tulia

Contains self-implemented Machine Learning algorithms using only numpy.

boosting from-scratch knn learning logistic-regression machine ml numpy python random-forest regression sklearn testing xgboost

Last synced: 09 May 2026

https://github.com/michaelzheng67/real_estate_ml

AI experiment developed to run against simulated real estate and investing environment

ai numpy python pytorch

Last synced: 09 May 2026

https://github.com/vadimkantorov/fasttsv

TSV parser for Python in pure vectorized NumPy code

numpy parsing simd tsv vectorized-code

Last synced: 09 May 2026

https://github.com/faisal-khann/python-practice

This is the section for python practice, where we engage in programming exercises to improve our Python skill.

numpy numpy-arrays pandas python

Last synced: 10 May 2026

https://github.com/alphacrypto246/air-quality-prediction

The Air Pollution Prediction project forecasts pollution levels using the Air Quality UCI dataset, including variables like CO, NOx, temperature, and humidity. It analyzes temporal and environmental factors to predict air quality trends.

machine-learning numpy pandas scikitlearn-machine-learning sckiit-learn

Last synced: 10 May 2026

https://github.com/sahaavi/color-detection

Colour detection is the process of detecting the name of any color. Well, for humans this is an extremely easy task but for computers, it is not straightforward. Human eyes and brains work together to translate light into color. Light receptors that are present in our eyes transmit the signal to the brain. Our brain then recognizes the color. Since childhood, we have mapped certain lights with their color names. We will be using the somewhat same strategy to detect color names.

color-detection color-detector numpy opencv-python pandas

Last synced: 10 May 2026

https://github.com/jupfu/beck-view-movie

Assemble mp4 video from list of images

multithreading numpy opencv python3 threadpool tqdm

Last synced: 10 May 2026

https://github.com/jjerphan/joml

A minimalist numpy-baked Neural Network API

deep-learning fun minimalist neural-network neural-networks numpy python wheel-implementing

Last synced: 10 May 2026

https://github.com/kartmaan/plotly-intervals

Group values from a Pandas Series according to given intervals and represent them graphically with Plotly

bar-chart grouping grouping-plots intervals intervals-chart numpy numpy-arrays orca pandas pandas-series percentile pie-chart plot plotly plotting values

Last synced: 10 May 2026

https://github.com/anshpg/exploring-ipl-rivalries-an-analysis-of-matches-from-2008-to-2022

In this project, I delved into an extensive analysis of IPL matches spanning from 2008 to 2022, utilizing a dataset sourced from Kaggle.com. My aim for this IPL season was to explore something novel, steering away from conventional analyses.

csv-files ipl kaggle-dataset matplotlib numpy pandas

Last synced: 10 May 2026

https://github.com/andersoncrs/aprendizaje_no_supervisado_kmeans_customers

Este repositorio contiene un análisis de datos de clientes de un centro comercial utilizando técnicas de aprendizaje no supervisado, específicamente K Means y clustering jerárquico. El objetivo del proyecto es segmentar a los clientes en grupos homogéneos para entender mejor sus comportamientos y características.

data-analysis kmeans-clustering matplotlib numpy seaborn visualization

Last synced: 10 May 2026

https://github.com/susanketsarkar/nn-from-scratch

A pure NumPy implementation of a deep neural network, built for educational purposes and deep learning understanding. This project implements a multi-layer neural network with various features commonly found in modern deep learning frameworks.

deep-learning implementation-of-algorithms neural-network numpy python

Last synced: 10 May 2026

https://github.com/tnleite/real-estate-opportunities-analysis

Este repositório apresenta uma análise de oportunidades no mercado imobiliário, combinando séries temporais, clusterização e previsões para identificar estados com maior potencial de crescimento e orientar estratégias de expansão eficientes.

catboostregressor cluster-analysis data-science kmeans-clustering lightgbm-regressor machine-learning-algorithms numpy regression-models scikit-learn xgboost-regression

Last synced: 10 May 2026

https://github.com/monarch1108/customerinsights-kmeans

understanding customers using KMeans and RFM(recency, frequency & monetary) analysis

data-analysis data-visualization kmeans-clustering machine-learning matplotlib numpy pandas scikit-learn

Last synced: 11 May 2026

https://github.com/baschin1103/machine-learning-linear-regression-tsi

The model is the multiple linear regression loaded from scikit-learn. The aim is to create a model to forecast the so called Total-Skill-Index (TSI) of a player from hattrick.org. More information on: https://wiki.hattrick.org/wiki/Total_Skill_Index. In this repository is the programm and necessary data.

csv linear-regression machine-learning numpy pandas python statistics

Last synced: 11 May 2026

https://github.com/omogbolahan94/google-play-store-app-analysis

Data exploration, data cleaning, interactive data visualisation and insight presentation

matplotlib numpy pandas plotly

Last synced: 11 May 2026

https://github.com/daksh90a/wine-quality-analysis

The Wine Quality Analysis project is an AI/ML-based data analysis initiative aimed at predicting and understanding the factors that influence the quality of wine.

matplotlib-python numpy pandas seaborn

Last synced: 12 May 2026

https://github.com/diogoribeiro7/vortex2d

2D vortex particle method (Gaussian-core) with RK4, viscosity, plots, animations

cfd matplotlib numpy python simulation vortex-method

Last synced: 12 May 2026

https://github.com/jbizzlefoshizzle/weather_trends_vs_latitude

Pandas project analyzing possible correlation between latitude and max. temperature, wind speed, cloudiness, and humidity

json-api jupyter-notebook matplotlib-pyplot numpy weather-information

Last synced: 13 May 2026

https://github.com/asuquoaa/big_4_sports_teams_and_city_population_analysis-2018-

Analysis of sports teams' win/loss ratios vs. metro area populations across NFL, NBA, MLB, and NHL.

data-cleaning-and-preprocessing numpy pandas

Last synced: 13 May 2026

https://github.com/abideen-olawuwo/gender-detection

Gender Detection app

cv cv2 numpy

Last synced: 14 May 2026

https://github.com/dino-kupinic/pocolocosolver

algorithmic solution with 3D visualization

algorithms numpy panda3d puzzle pytest python solver

Last synced: 19 Jun 2026

https://github.com/williyam-m/sentiment_analysis

A Django-based Sentiment Analysis web app leveraging the power of the BERT transformer model to classify text sentiment accurately.

beautifulsoup bert django numpy pandas python torch transformers

Last synced: 20 Jun 2026

https://github.com/charlenry/python_math_machine_learning

Mes notebooks de travaux pratiques sur Python, NumPy, SimPy, SciPy, Matplotlib, Plotly, Seaborn et les Mathématiques pour le Machine Learning

algebra derivatives functions jupyter linear matplotlib matrix numpy plotly probabilities pyplot python pytorch scipy seaborn sklearn statistics sympy tensorflow time

Last synced: 25 Jun 2026

https://github.com/lorenzorottigni/ml-lending-club

Machine Learning python bootcamp: random forest classifier on LendingClub dataset

ipynb machine-learning numpy pandas python random-forest-classifier scikit-learn seaborn

Last synced: 08 Apr 2026

https://github.com/hansalemaos/cppradixsort

parallel_radixsort from C++ for Python (Windows)

cpp numpy parallel-computing python sort

Last synced: 05 Feb 2026

https://github.com/seymencanates/pythonn

Here is my all personal educations , notes , basic apps I did. Here will be my backside for all supportive information about python I am gonna need.

django flask numpy pandas python3 scikitlearn-machine-learning tensorflow tkinter

Last synced: 08 Apr 2026

https://github.com/ashithapallath/comparison-of-ssd-sad-in-motion-estimation-of-video-coding

Course assignment for Algorithm and Massive Datasets comparing SAD and SSD for motion estimation. Includes analysis of accuracy, speed (Python/NumPy), and error sensitivity. Highlights trade-offs for speed-critical vs. precision-focused applications.

l1-normalization l2-norm numpy pytho video-cod

Last synced: 04 Apr 2025

https://github.com/sarthakm402/rabbi

A Ml library that can be used ot clean,and use models to predict on data

numpy optuna pandas pypi-package python sklearn

Last synced: 20 Apr 2026

https://github.com/barraharrison/seoul-bike-sharing

Performing EDA on a kaggle dataset to look at the distribution of Seoul's bike-sharing system

jupyterlab matplotlib numpy pandas python scikit-learn seaborn

Last synced: 23 Jul 2025

https://github.com/alphacrypto246/insurance-charges-prediction

The Predicting Insurance Charges project uses Decision Tree Regression to predict insurance charges based on features like age, sex, BMI, and smoking habits. It involves data preprocessing, feature scaling, and model evaluation with metrics like MAE and R².

machine-learning numpy pandas scikit-learn scikitlearn-machine-learning

Last synced: 03 May 2026

https://github.com/eljandoubi/disasterresponsepipeline

Project aim is to build a Natural Language Processing (NLP) model to categorize messages on a real time basis.

flask nltk numpy pandas plotly scikit-learn scipy sqlalchemy

Last synced: 09 Apr 2026

https://github.com/armahdavi/data_pipeline_analytics_statistics_ML_PM_PSD_residential_QFF

Sharing all the data pipelines and processing codes, statistical modellings, descriptive statistics, plot visualizations, and machine learning from Mahdavi & Siegel (2021) (Indoor Air) Project Miestone: 2017 - 2020 Full-length article: https://onlinelibrary.wiley.com/doi/abs/10.1111/ina.12782

data-science data-visualization dust hvac indoor-air-quality jupyter-notebook machine-learning matplotlib-pyplot numpy pandas python scikit-learn scipy-stats spyder spyder-python-ide statistics

Last synced: 17 Sep 2025

https://github.com/harmanveer-2546/campus-placement-prediction

Student Campus-Placement Prediction ML Project using Python

decision-trees machine-learning matplotlib numpy python random-forest scipy seaborn

Last synced: 08 Mar 2026

https://github.com/riyajain255/customer-segmentation-for-e-commerce

This project analyzes online retail data to segment customers using K-Means clustering and build classification models to predict those segments based on purchasing behavior.

customer-segmentation data-analysis kmeans-clustering logistic-regression machine-learning matplotlib numpy pandas python random-forest scikit-learn seaborn-plots

Last synced: 02 Apr 2026

https://github.com/kushalagarwalla/netflix-movie-data-analysis

🚀 Netflix Data Analytics Project 🎬📊 | Analyzed 9K+ movies to uncover insights on genres, popularity, votes & release trends. Includes EDA, KPIs & visualizations using Python (Pandas, NumPy, Matplotlib, Seaborn). Supports data-driven content & engagement strategy.

data-analysis data-visualization jupyter-notebook numpy pandas python seaborn

Last synced: 06 May 2026

https://github.com/4ngelojr/ai-ml-cheatsheets

🗂️ Access essential AI and ML concepts with quick-reference cheatsheets for effective learning and project implementation.

bigdata cheatsheet computer-science convolutional-neural-networks data-science deep-learning dl excel hadoop keras linux neural-networks numpy pig plotly probability sql statistics

Last synced: 01 May 2026

https://github.com/vitor-ace/sunspots-data-analysis

This is a Jupyter Notebook which works with Data Analysis logic and libraries implementation with Python.

data-analysis data-visualization debbuging error-handling file-handling matplotlib-pyplot numpy pandas python

Last synced: 06 May 2026

https://github.com/shotadft/vecposlib

This is a library that enables vector calculations in Python.

math math-library numpy python python-lib python-library python3

Last synced: 18 Sep 2025

https://github.com/abhishek-patidar066/synthetic-datasets

Synthetic datasets are artificially generated data used for training machine learning models, simulating real-world data while ensuring privacy.

clustering datasets jupyter-notebook libraries matplotlib-pyplot numpy pandas-dataframe python random sklearn

Last synced: 15 Apr 2026

https://github.com/anushkapal28/maatri-care

MaatriCare is an AI-based healthcare application designed to provide personalized nutrition advice and maternal care recommendations for pregnant women, lactating mothers, and women in general.

gemini-api jupyter-notebook labelencoder numpy pandas python3 random-forest streamlit svm-training

Last synced: 18 Sep 2025

https://github.com/akash-207/ecommerce-monetization-analysis

“Revenue and monetization analysis of Brazilian e-commerce data (Olist dataset). Includes KPIs, trends, and business insights.”

business-analytics matplotlib mysql numpy pandas python seaborn

Last synced: 09 Apr 2026

https://github.com/vyjayanthipolapragada/image_classifier_cnn_data_augmentation

A deep learning project using Convolutional Neural Networks (CNNs) to classify CIFAR-10 images. The model leverages data augmentation, batch normalization, and ReLU activation to improve performance and generalization. Includes training and evaluation scripts for multi-class image classification.

adam-optimizer convolutional-neural-networks data-augmentation deep-learning image-classification jupyter-notebook neural-networks numpy optimizer pandas python pytorch relu-layer

Last synced: 09 Apr 2026

https://github.com/jcardonamde/datasets_ml

This project analyzes cab and limousine travel data in New York City. This with the goal of predicting the total duration of trips within the city. Machine learning models were used.

data-science machine-learning machine-learning-algorithms matplotlib numpy pandas pipelines python seaborn sklearn

Last synced: 09 Apr 2026

https://github.com/stefagnone/text_adventure_game

A text-based adventure game project using Python fundamentals

matplotlib numpy pandas python r scikit-learn seaborn sql

Last synced: 09 Apr 2026

https://github.com/haseebulhassan437/lstm-next-word-predictor

A deep learning-based LSTM model for predicting the next word in a sequence using natural language processing techniques.

keras-tensorflow lstm numpy tensorflow

Last synced: 18 Apr 2026

https://github.com/ajxxxs/spotify-music-analysis

spotify Music (web scraped playlists ) analysis (over 3 states) , trends, features and a music recommendation system.

matplotlib numpy panda scikit-learn seaborn

Last synced: 28 Jul 2025

https://github.com/kikoveiga/feup-ia1

Artificial Intelligence (IA) First Project (2023/2024): BSc in Informatics and Computing Engineering @ FEUP

feup feup-ia feup-leic genetic-algorithms hill-climbing numpy pandas python simulated-annealing tabu-search

Last synced: 06 May 2026

https://github.com/shambac/shamboflow

Fierce tensorflow competitor

cuda cupy machine-learning numpy pypi-package

Last synced: 19 Feb 2026

https://github.com/mallocode300/colour_palette_generator

Upload an image and immediately obtain a colour palette with the 10 most common colors in HEX codes and RGB

numpy python

Last synced: 29 Jul 2025

https://github.com/arjunravi26/glucose-monitoring

Glucose Monitoring system to monitor patients and notify whenever glucose goes high.

machine-learning numpy pandas plotly python3 streamlit xgbboostregressor

Last synced: 30 Jul 2025

https://github.com/werctfourth/python-border-autocrop2

Python script that crops borders from images v2

border crop image-processing libvips numba numpy python python3

Last synced: 17 May 2026

https://github.com/darkdk123/handwashing-discovery-analysis

A Guided Project in a Boot camp to Analyse the Original Data used in the Discovery of Viruses & Hand Washing By Dr. Ignaz Semmelweis in Vienna General Hospital in the 1840s.

data-analysis data-science data-visualization matplotlib-pyplot numpy pandas plotly-python python seaborn-plots

Last synced: 09 Apr 2026

https://github.com/sridharyadav07/machine-learning-project-bankruptcy-prevention-

The project explores multiple machine learning algorithms and evaluates their performance using various metrics, such as accuracy and confusion matrices. The models tested include Logistic Regression, K-Nearest Neighbors (KNN), Naive Bayes, and Support Vector Machine (SVM). In addition, regularization techniques (L1, L2) are used to avoid overfit.

data-preprocessing evaluation machine-learning-models matplotlib-pyplot modelbuilding modeldeployment numpy pandas python scikit-learn seaborn

Last synced: 09 Apr 2026

https://github.com/mr-chang95/twitter_datawrangling

Twitter Data Wrangling for Udacity's Data Analyst Nanodegree Program

data-visualization data-wrangling dogs matplotlib numpy pandas python twitter

Last synced: 09 Apr 2026

https://github.com/ashar97/advanced-machine-learning

Advanced Machine Learning MOOC Specialisation Assignments

keras numpy python3 tensorflow

Last synced: 09 Apr 2026

https://github.com/rezapace/machine-learning-sound-detection

Welcome to the Machine Learning Detection Sound project! This project harnesses the power of machine learning to analyze car sounds, enabling the detection of vehicles based on their audio signatures.

colab-notebook googlecolab jupyter-notebook machine-learning numpy pathlib python python3 sound source tensorflow voice voice-recognition

Last synced: 09 Apr 2026

https://github.com/sunilvarma-l/zomato-data-analysis-using-python

its a Python-based project to analyze and visualize Zomato restaurant data. This project explores various aspects of restaurant data, such as customer reviews, restaurant ratings, locations, and cuisines, with the aim of uncovering insights and trends in the food industry.

googlecollab matplotlib numpy pandas python seaborn

Last synced: 09 Apr 2026

https://github.com/oaerobert/python-for-finance

Implementations of financial mathematics and statistics using the "Python for Finance" textbook. Includes Monte Carlo simulations, predictive stock prices using ML strategies and real world data visualisations.

matplotlib numpy pandas python

Last synced: 09 Apr 2026

https://github.com/lefteris-souflas/modern-slavery-analysis

Jupyter notebook using machine learning techniques to explore the complex drivers of modern slavery. Models from a research paper are replicated and evaluated . Actions also include filling missing data, training regression models, and analyzing feature importance.

decision-tree feature-importance grid-search-cv imputation jupyter-notebook lasso-regression linear-regression matplotlib mean-absolute-error numpy pandas preprocessing principal-component-analysis python3 random-forest ridge-regression scikit-learn seaborn

Last synced: 09 Apr 2026

https://github.com/iwitaly/aws-lambda-docker-builder

Docker image for building packages for AWS Lambda with Python environment

aws aws-lambda docker docker-image numpy python python3

Last synced: 09 Apr 2026

https://github.com/kumartusha/Data_Scientist-AI-ML-_Training_Anudip_Foundation

Anudip Foundation Data Analytics Training 📊 A repository containing projects, assignments, and coursework from the Anudip Foundation Data Analytics training program. This includes work on: 🧹 Data Cleaning & Preprocessing 📉 Data Visualization & EDA 📊 Statistical Analysis

excel matplotlib numpy pandas powerbi python scipy sql

Last synced: 27 Sep 2025

https://github.com/magnitopic/ft-linear-regression

Your first implementation of a machine learning algorithm. Predicting the price of a car by it's milage

42school ai ai-algorithm ft-linear-regression linear-regression machine-learning matplotlib numpy pandas prediction-algorithm python

Last synced: 16 Apr 2026

https://github.com/jim-by/scrape_analysis_books

Scraping book data from the website books.toscrape.com and performing analysis on the collected data.

beautifulsoup json matplotlib numpy pandas python scipy scraping seaborn

Last synced: 09 Apr 2026

https://github.com/alyssahusna44/poai-image-classification

An implementation of an AI model that classifies animal subspecies. The project involved data preparation, model training using ResNet50, DenseNet121, and MobileNetV3, and evaluation using metrics: accuracy and mAP. 🗂️

artificial-intelligence image-classification machine-learning model-training-and-evaluation neural-networks numpy pandas python tensorflow

Last synced: 09 Apr 2026

https://github.com/jose-zothner-meyer/finance-individual-loans

A comprehensive analysis of a financial institution's loan portfolio using Python, focusing on data preprocessing, exploratory data analysis (EDA), and feature engineering.

credit data-science data-visualization eda exploratory-data-analysis finance jupyter-notebook matplotlib numpy pandas plotly python scipy seaborn

Last synced: 09 Apr 2026

https://github.com/christabelsakyi/employee_attrition_prediction

This project implements a machine learning pipeline for predicting employee attrition using HR data. The system analyzes various factors that contribute to employee turnover and provides predictions to help HR departments take preventive measures.

machine-learning numpy pandas plotly python sklearn streamlit

Last synced: 09 Apr 2026

https://github.com/dulajkavinda/handwritten-recognition

🛢Handwritten Digit Recognition using OpenCV

added machinelearning numpy opencv python

Last synced: 09 Apr 2026

https://github.com/ashkan-khd/recommender-systems

A series of recommender systems projects for DATA.ML.360-2024-2025-1 Recommender Systems at Tampere University

collaborative-filtering group-recommendation-system group-recommendations jupyter jupyter-notebooks numpy pandas python recommender-system

Last synced: 09 Apr 2026

https://github.com/RedInfinityPro/PygameCicruit

Rating: (6/10) The code combines a Pygame GUI application with a PySpice circuit simulation, providing a user-friendly interface with buttons, menu options, dropdown menus, input boxes, sliders, and text elements.

matplotlib numpy os pygame pyspice random sys

Last synced: 30 Sep 2025

https://github.com/samir-atra/cancerdetector

The final project of AI50xIraq course is found in the commit on 21-3-2023

cancer-detection cnn dataset inceptionv3 matplotlib numpy opencv tensorboard tensorflow tensorflow-tutorials transfer-learning

Last synced: 11 Feb 2026

https://github.com/v41bh4vr4jput/data-analysis-with-python

This repository is a comprehensive collection of data analysis projects and tutorials using Python's most powerful libraries: NumPy, Pandas, Seaborn, and Matplotlib. It is designed to help you explore, clean, visualize, and analyze data efficiently.

api data data-analysis data-visualization matplotlib numpy pandas python sakila-db seaborn

Last synced: 09 Apr 2026