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: 2026-06-26 00:18:09 UTC
- JSON Representation
https://github.com/lakhidaksh-01/carinsightanalyzer
Interactive Car Ratings & Insights
cars matplotlib numpy pandas python seaborn streamlit
Last synced: 10 Apr 2026
https://github.com/hansalemaos/numpycythonpermutations
Permutations, Combinations and Product for Numpy - written in Cython - 20x faster than itertools
c combinations cython fast itertools numpy permutations product python
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https://github.com/mohamedawnallah/covid19-dataanalysis-python
how to preprocess and merge datasets to calculate needed measures and prepare them for an Analysis. In this project, we are going to work with the COVID19 dataset, published by John Hopkins University, which consists of the data related to the cumulative number of confirmed cases, per day, in each Country. Also, we have another dataset consist of various life factors, scored by the people living in each country around the globe. We are going to merge these two datasets to see if there is any relationship between the spread of the virus in a country and how happy people are, living in that country.
covid19 dataanalysis datavisualization happiness-report jupyternotebook numpy pandas python
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https://github.com/toby-sanders-101/mydigits
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https://github.com/aroojzahra908/artifical-intelligence-and-machine-learning-
Explore the basics of linear regression, gradient descent, and AI using Python. Get hands-on with NumPy, pandas, Matplotlib, and scikit-learn for practical learning.
artificial-intelligence gradient-descent linear-regression machine-learning matplotlib numpy pandas scikit-learn-python
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https://github.com/Willie-Conway/Data-Science-Tools-and-Ecosystem
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data-science jupyter keras notebooks numpy pandas python pytorch
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To analyze state & city housing trends and affordability using data analytics.โ
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performs sorting and grouping operations on multidimensional NumPy arrays using Cython and hash-based algorithms.
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Air Pollution Detection using Machine Learning
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https://github.com/hugo-hattori/property_price_prediction_machine_learning
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matplotlib numpy pandas python streamlit
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ะ ะตะฟะพะทะธัะพัะธะน ะดะปั ััะตะฑะฝะพะน ะฟัะฐะบัะธะบะธ ะธ ัะฐะทะปะธัะฝัั ะบัััะพะฒ, ัะฒัะทะฐะฝะฝัั ั ะะ
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Practice repository for NumPy & Pandas with scripts, notebooks, and notes for future revision
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data-analysis data-science matplotlib numpy pandas python
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https://github.com/pyladiesams/python-oss-sprints-mar2024
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data datacleaning eda excel jupyter-notebook matlplotlib numpy pandas python seaborn visualization
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face haar-cascade lbph-face-recognizer numpy opencv pillow
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activelearning cuda entropy kldivergence margin numpy python pyto uncertainty
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cupy java numpy pypy python raytracing
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adam classification cnn colab-notebook computer-vision convolutional-neural-networks custom-training-loop deep-learning fashion-mnist gans image-classification interactive jupyter-notebook keras lowlevelapi mnist-dataset numpy regularization
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flask matplotlib numpy pandas-python scikit-learn
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This project uses the Pegasus model to generate concise, coherent text summaries. Fine-tuned on large datasets, it excels in abstractive summarization, ideal for automating tasks like summarizing articles and research papers.
datasets huggingface-transformers matplotlib nltk numpy pandas teansform tqdm
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https://github.com/jonolav95/advent_of_code_2022
Using Python with Pandas and Numpy (www.adventofcode.com).
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ML algorithms implementation
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audio feature extraction
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https://github.com/aicorsair/python-case-study-ab-testing-for-lunartech-homepage-cta-button
This repository contains a detailed case study on an A/B test of LunarTech's homepage CTA button, using proxy data structured similarly to the company's real data.
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https://github.com/theamnabb/my-ai-brain
A complete, structured AI learning journey from scratch to advanced. Includes daily logs, mini projects, roadmaps, and useful resources for Artificial Intelligence, Machine Learning, Deep Learning, and Generative AI.
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https://github.com/shantanudhanawade/mini-projects
Price prediction with linear regression
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https://github.com/ayushmankumar7/siamese-network-with-one-shot-learning
Implementation of this paper - https://www.cs.cmu.edu/~rsalakhu/papers/oneshot1.pdf
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