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.
- GitHub: https://github.com/topics/numpy
- Wikipedia: https://en.wikipedia.org/wiki/NumPy
- Repo: https://github.com/numpy/numpy
- Created by: Travis Oliphant
- Related Topics: python, scipy,
- Last updated: 2026-06-25 00:18:02 UTC
- JSON Representation
https://github.com/shibbir24/water-potability-prediction-using-hybrid-machine-learning-techniques
Water Potability Prediction Using Hybrid Machine Learning Techniques
machine-learning matplotlib numpy pandas python3 scikit-learn seaborn
Last synced: 09 Apr 2026
https://github.com/samuelpuerta/modelosiasaberprocolombia
PROYECTO KAGGLE - Crear un modelo para predecir el redimiento de los estudiantes en las pruebas Saber Pro
ai ia jupyter-notebook machine-learning numpy pandas prediction-model predictive-modeling python
Last synced: 06 May 2026
https://github.com/gherrada22/spanish-sign-translator
This project uses Python and the OpenCV and MediaPipe libraries to detect and translate signs in real time.
language matplotlib mediapipe numpy opencv pycharm-ide python python3 spanish-language toml
Last synced: 18 Jan 2026
https://github.com/lorenzorottigni/dl-houses
Deep Learning python bootcamp: exploratory data analysis & deep learning on houses price dataset
deep-learning ipynb machine-learning numpy pandas python scikit-learn seaborn tensorflow
Last synced: 11 Apr 2026
https://github.com/gojoel/brockton-data-analysis
Analyzes police logs from the city of Brockton, MA and attempts predictive analysis.
data-science exploratory-data-analysis geopy machine-learning matplotlib numpy pandas seaborn
Last synced: 09 May 2026
https://github.com/arsh-pixel-cmd/ai-image-classifier
AI Image Classifier is a web app that uses AI and deep learning to classify images in real-time. Built with Streamlit, TensorFlow (MobileNetV2), OpenCV, and NumPy, it allows users to upload single or multiple images and get the top-3 predictions with confidence scores instantly in the browser.
docker numpy opencv python3 streamlit tensorflow2 uv
Last synced: 10 Apr 2026
https://github.com/amruta33/telecom-churn-case-study
Building a classification model for reducing the churn rate for a telecom company.
logistic-regression matplotlib numpy pandas plotly python seaborn skit-learn statmodels
Last synced: 14 Apr 2026
https://github.com/vishalgaud17/stroke
A simple Streamlit web app that predicts stroke risk based on user input features like age, BMI, glucose level, and lifestyle factors, using a pre-trained machine learning model.
machine-learning numpy pandas python scikit-learn streamlit
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https://github.com/shoaib1522/introduction-to-data-science
Unlock the world of data science with hands-on tutorials, interactive notebooks, and essential resources! Whether you're a beginner or looking to refine your skills, this repo offers a comprehensive guide to mastering Python, Git, NumPy, Pandas, and more—empowering you to analyze, visualize, and transform data like a pro! 🚀📊💻
confusion-matrix github-config kaggle matplotlib numpy pandas python3 script visualization
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https://github.com/gurramankit/censusproject_ml_randomforest
The objective of this project is to build a classification model using the Census Income dataset from the UCI Machine Learning Repository. The model predicts whether an individual's income exceeds $50,000 per year, based on their demographic and employment-related attributes.
matplotlib numpy pandas python random-forest scikit-learn seaborn
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https://github.com/farhannirzhor/python_eda_project_on_diwali_sales_analysis
In this project, I was given a sales data. I analyzed their sales data and shared a summary
data-cleaning data-manipulation exploratory-data-analysis matplotlib numpy pandas python seaborn
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https://github.com/sabdikay/analysis-of-biodiversity
This project analyzes biodiversity data from the National Parks Service, focusing on species in various park locations. Conducted in Jupyter Notebook, it uses pandas, matplotlib, NumPy, seaborn, and chi2_contingency for analysis and visualization.
data-analysis data-analysis-python data-visualization exploratory-data-analysis jupyter-notebook matplotlib numpy pandas python seaborn
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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
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https://github.com/adi3042/diamond_price_prediction
🔮💎 Explore the Diamond Price Oracle! Predicting diamond values based on your preferences and market trends. Your ultimate tool for informed decisions in the diamond world. Join us for the future of pricing! 💎✨🚀 #DiamondPredictor
anaconda datetime diamond flask functools html ipykernel jupyter-notebook matplotlib numpy pandas price-prediction readme regressor sckiit-learn setuptools venv
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https://github.com/dpbm/extract_frames
extract frames from videos
frames frames-extract linux numpy opencv pip pipenv py python python-opencv python3 simple-program study terminal tool video videos
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https://github.com/psgebeline/b2_plotter
A simple Python package for use by Belle II analysts to make various plots out of pandas dataframes and numpy arrays.
jupyter-notebook matplotlib matplotlib-pyplot numpy pandas pandas-dataframe python uproot visualization-tools
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https://github.com/venkat-a/python-eda-exploratory-data-analysis-
This project focuses on conducting exploratory data analysis (EDA) using Python. Utilizing powerful libraries such as Pandas for data manipulation and Plotly for interactive visualization, the project aims to uncover insights from datasets through comprehensive analysis and visualization techniques.
descriptive-statistics matplotlib numpy pandas seaborn statistical-analysis visualization
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https://github.com/allanreda/automated-k-means-clustering-engine
An interactive K-Means clustering tool built with Flask and Scikit-Learn, supporting Excel file uploads, cluster analysis, and data export, deployed on Google Cloud Run via Docker with CI/CD integration.
cicd css data-visualization deployment docker flask google-cloud-run html javascript k-means-clustering machine-learning matplotlib numpy pandas python scikit-learn
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https://github.com/priyanshulathi/air-quality-index-prediction
Machine learning based air quality index prediction using environmental and pollutant data to classify and forecast pollution levels.
machine-learning matplotlib numpy pandas python scikit-learn seaborn
Last synced: 19 Jan 2026
https://github.com/bharath-tars/deeptumor2.0
DeepTumor2.0 is a project aimed at developing a flask webapp with robust front end and highly trained model using tensorflow in the backend with several features like with automatic html template reporting. **NOTE: DeepTumor2.0 has been moved from Azure to On-Render to save costs**
css datetime docs flask github html javascript keras numpy onrender os pandas python sheety smtp tensorflow
Last synced: 21 Jan 2026
https://github.com/ramchaik/cinebrain
CineBrain uses ML & NLP to analyze movies and recommend similar ones based on user preferences through cosine similarity.
cosine-similarity flask htmx kaggle machine-learning movie-recomendation-system nlp nltk numpy pandas sklearn tailwind tmdb tmdb-api unsupervised-learning vectorization
Last synced: 19 Jan 2026
https://github.com/jatin-mehra119/paris_housing_price-kaggle-
Paris Housing Price Kaggle Competiton
data data-visualization kaggle-competition machine-learning numpy pandas predictive-modeling scikit-learn
Last synced: 29 Apr 2026
https://github.com/saifalibaig/covid-19-death-rate-analysis-using-python
Analysis of Covid-19 data along with the world happiness report to identify if there is any relationship between death rate and happiness rate of countries all over the world.
data-analysis data-visualization numpy pandas python3 sns visualization
Last synced: 03 May 2026
https://github.com/mobinabatebi/electricity_consumption_project
The project aimed at estimating electricity consumption in administrative offices, along with analyzing the impacts of such consumption on power outages, is critical for addressing the pressing issue of summer electricity shortages.
jupyter-notebook numpy pandas python
Last synced: 28 Sep 2025
https://github.com/chaakshay/heartdrive
A Streamlet-based tool that analyzes cardiovascular health data, predicts population risk using ML, and suggests targeted government actions like awareness campaigns, health checkups, and policy changes.
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https://github.com/ricky9667/taiwanoceantrashpredict
A very simple DNN project using Keras.
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https://github.com/guybanbo/qr-algorithm
QR alogrithm for finding eigenvalues and eigenvectors of a large symmetric matrix
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https://github.com/umesh-01/python
Python is a programming language that lets you work more quickly and integrate your systems more effectively. Python is used for web development, AI, machine learning, operating systems, mobile application development, and video games.
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https://github.com/jashmit918/image-caption-generator
Image Caption Generator
image-to-text matplotlib numpy pillow python streamlit torch transformers
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https://github.com/dev-dur/student_exam_analysis
This is a beginner-friendly data analysis mini-project using NumPy, Pandas, and Matplotlib. The project generates random student exam scores, analyzes them, and visualizes the results.
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https://github.com/nikita620/churn-prediction-using-machine-learning-
Major project on Python and AI
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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
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https://github.com/nisch-mhrzn/house_prediction
This project predicts house prices using data exploration, feature engineering, and machine learning models like Linear Regression and Random Forest. It demonstrates how to optimize models and evaluate their performance to accurately forecast house prices.
matplotlib numpy pandas python scikit-learn seaborn
Last synced: 08 Apr 2026
https://github.com/ashishsingh789/bcg_virtual_internship
This repository showcases my BCG X virtual internship project on customer churn analysis for PowerCo, covering business understanding, EDA, feature engineering, and modeling using Python and machine learning.
data-manipulation data-science dataanalysis datavisualization eda machine-learning matplotlib numpy pandas python random-forest scikit-learn seaborn
Last synced: 09 Apr 2026
https://github.com/achronus/data-graphing-tool
A tool for finding the perfect graph that fits your CSV data.
data-visualization matplotlib numpy pandas python3
Last synced: 13 Oct 2025
https://github.com/szymon-budziak/real_estate_house_prices_prediction
Predicting real estate house prices using various machine learning algorithms, including data exploration, preprocessing, model training, and evaluation.
data-analysis data-preprocessing data-science eda jupyter-notebook machine-learning matplotlib numpy optuna pandas predictive-modeling price-prediction python random-forest regression scikit-learn seaborn
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https://github.com/shubham-bendre/football-clip-analysis
This project uses YOLO and Roboflow datasets to analyze football matches, detecting players, referees, and the ball while tracking movements in real-time.
deep-learning matplotlib numpy roboflow-dataset yolov5
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https://github.com/akshatkmistry/parkinsons_disease_predictor-voice_measures
This project implements a machine learning system to detect Parkinson's disease using voice measurements. The application uses a Random Forest classifier trained on voice feature data to predict the likelihood of Parkinson's disease with high accuracy (94%).
machine-learning matplotlib numpy pandas random-forest-classifier seaborn sklearn streamlit
Last synced: 09 Apr 2026
https://github.com/khushi130404/regulexa
Regulexa is a Python project that showcases and compares Ridge, Lasso, and Elastic-Net regularization techniques in machine learning. It includes visualizations and performance insights to help prevent overfitting and improve model generalization.
elastic-net-regression lasso-regression numpy ridge-regression
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https://github.com/mikma03/simulation_modeling
Simulation models using Python. Practical use of Python in real-world examples and additional resourses.
matplotlib numpy pandas portfolio python simulation stocks
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https://github.com/polyee99/kaggle-titanic-data-analytics
Jupiter notebook to predict the outcome of passengers who died or not in the tragical Titanic event.
data eda jupiter-notebook matplotlib numpy pandas python regression-analysis test-train-split visualization
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https://github.com/hansalemaos/cirdhighspeedcoverter
High speed conversion of IP addresses represented in CIDR notation into their corresponding start and end IPs, along with their respective subnet masks.
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https://github.com/avik-pal/kaggle-titanic
Predicting whether a given set of people survive on the Titanic
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https://github.com/hoyirul/flask-starter-fs
Flask-Starter-FS is a concise full-stack starter kit for Flask web development, offering quick setup and pre-configured settings for seamless integration of front-end and back-end components. Accelerate your full-stack web application development with Flask-Starter-FS.
flask machine-learning numpy pandas python sklearn
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https://github.com/chewzzz1014/data-analysts-projects
coursework jupyter-notebook matplotlib numpy pandas python seaborn
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Estudo de popularidade dos filmes da Netflix no IMDB.
analise-de-dados data-analysis jupyter-notebook matplotlib numpy pandas python
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https://github.com/lc-rezende/eqx_boston_dataset
Exploratory data analysis, clustering, and forecasting on Boston crime data (2011-2015), revealing key crime trends, hotspots, and temporal patterns to support data-driven insights for urban safety and policing strategies.
data-analysis exploratory-data-analysis jupyter-notebook kmeans matplotlib numpy pandas prophet-facebook python scikit-learn seaborn
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Identifying empty spaces in the parking lot with openCV
cv2 jupyter-notebook numpy opencv pickle python
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https://github.com/hamidhosen42/titanic-machine-learning-from-disaster-project
Titanic Machine Learning from Disaster Project Model accuracy : 77.272 %
decision-trees knn-classification machine-learning matplotlib nive-bayes numpy pandas python random-forest seaborn sklearn svm
Last synced: 09 Apr 2026
https://github.com/omogbolahan94/lego-analysis
Analysis of LEGO data from 1949 to 2021.
Last synced: 09 May 2026
https://github.com/sralter/potential_talents
Using NLP techniques (word and sentence embedding tools like SBERT and Learning-to-Rank systems like RankNet and LambdaRank) to rank candidates.
lambdarank learning-to-rank lightgbm matplotlib nlp numpy pandas python pytorch ranknet
Last synced: 09 Apr 2026
https://github.com/manishkumarpatel07/heartattack_risk_prediction
"Heart Attack Risk Prediction" uses machine learning to estimate the likelihood of a heart attack based on user-provided data like physical attributes, symptoms, and medical history. This system enables remote screening, identifying high-risk individuals, and easing medical system burdens by providing early, data-driven health risk assessments.
boruta knn-algorithm matplotlib numpy pandas python scikit-learn
Last synced: 09 Apr 2026
https://github.com/mbarbetti/hello-snakemake
Simple implementation of snakemake to sample and plot data
hello-world matplotlib numpy python snakemake
Last synced: 14 Apr 2026
https://github.com/antodata/hate_crimes_spain_2014_2017
Analysis of hate crimes in Spain between 2014 and 2017 using official data
chi-square chi-square-test data-analysis data-visualization datascience folium hatecrime json lgtbiq linear-regression maps matplotlib numpy pandas python python3 scipy selenium selenium-webdriver sklearn
Last synced: 14 Apr 2026
https://github.com/gitluffywd/advanced_video_stabilization_and_roi_pixel_analysis
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data-structures debugging english-language git github html markdown numpy opencv project-management python
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https://github.com/fanisgl/cnn_machine_learning
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data-science keras machine-learning neural-networks numpy pandas pooling-layers relu softmax tensorflow2
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https://github.com/sun-data/ndoptimize
Numba-accelerated minimization of objective functions.
astropy minimization numba numpy optimization scientific-computing
Last synced: 27 Jan 2026
https://github.com/bhuvantenguria/adobe-gensolve
Adobe-Gensolve
cv2 dotenv firebase-admin flask numpy pandas python react svgpathtools svgwrite
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https://github.com/hifly81/photox
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https://github.com/waghraj1699/codeclauseinternship_customer_segmentation_tool
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data-preprocessing kmeans-clustering machine-learning numpy pandas visualization
Last synced: 08 May 2026
https://github.com/abideen-olawuwo/stroke-prediction
A stroke Prediction Model
adaboostclassifier catboost decision-tree-classifier kneighborsclassifier logistic-regression matplotlib numpy pandas random-forest-classifier seaborn sklearn xgboost-classifier
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https://github.com/alefair/ds
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ipython jupyter matplotlib numpy pandas python sklearn
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numpy pandas sklearn tensorflow
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https://github.com/rezapace/machine-learning-sound-detection
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https://github.com/ggrbill/phd-plot-scripts
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EDA and Supervised ML model using Regression to predict Co2 Emissions from Vehicles
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mathematics numpy python scipy signal-processing spyder
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data-wrangling hypothesis-testing numpy p-values pandas python scipy-stats statistics t-test
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https://github.com/OneMoreDavid/python-like-a-boss
This is where I stash my Python study material.
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folium-maps heatmap-visualization numpy pandas ploty python stadistics streamlit
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https://github.com/nagipragalathan/python_tutorial_for_data-science
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datascience datavisualization deeplearning jupyter jupyter-notebook learning-by-doing learningresources machinelearning matplotlib numpy opensource pandas python python-script python3 pytorch pytorch-implementation scikitlearn tutorial
Last synced: 09 Apr 2026
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/youssefali11997/free-style-coding
Scripts written as practice, trying new technology or just playing with the code !
bash javascript numpy python3 ruby-on-rails scripts vuejs
Last synced: 12 Apr 2026
https://github.com/deepankkartikey/ml-projects
A repository of projects done while learning and exploring ML
classification csv machine-learning numpy pandas regression sklearn
Last synced: 15 Apr 2026
https://github.com/jaypanchal9/fraud-detection-case-study
A comprehensive case study applying machine learning techniques to detect fraudulent transactions effectively.
machine-learning matplotlib numpy pandas python3 scikit-learn seaborn xgboost
Last synced: 15 Apr 2026
https://github.com/muhkartal/fr-photo
face-recognition system works on images first of all you need to register valid image as recognition
face-recognition numpy opencv pillow python streamlit
Last synced: 15 Apr 2026
https://github.com/itssahilwhat/ai-fundamentals
A curated collection of fundamental AI concepts, algorithms, and code implementations — including Machine Learning, Deep Learning, and Computer Vision — built from scratch and with practical examples.
computer-vision deep-learning machine-learning numpy pandas python pytorch scikit-learn
Last synced: 15 Apr 2026
https://github.com/shishirshekhar/penguin_app
This is a penguin species prediction web app
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Last synced: 09 Apr 2026
https://github.com/manu-karenite/medical-insurance-cost-predictor
Medical Insurance Cost Generator is a Linear Regression based Predictor which is used to estimate and predict the Cost a person has to pay while Buying a Medical Insurance.
kaggle-dataset linear-regression machine-learning matplotlib numpy pandas python3 reactjs scikit-learn
Last synced: 15 Apr 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/sarmad426/ai
AI basic to advanced featuring Machine Learning, Deep Learning and Data Science.
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https://github.com/aysh2603/twitter-sentiment-analysis
The Twitter Sentiment Analysis project employs Natural Language Processing (NLP) techniques to classify tweets into positive or negative sentiments. By analyzing the tone of tweets, this project provides insights into public sentiment on various topics.
hyperparameter-tuning nlp-machine-learning numpy pandas python3 scikit-learn
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https://github.com/farha-dahman/investigate_dataset
Investigate [No-show appointments] Dataset
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https://github.com/singhvishal003/sales-data-analysis
Data Analysis according to sale data.
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https://github.com/offthetab/lung_cancer_prediction
ML for Lung Cancer Prediction dataset from kaggle.
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