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/geson-anko/numpy_ndarray_msgs
A ROS2 package for transmitting NumPy ndarrays between ROS2 nodes.
Last synced: 23 Feb 2026
https://github.com/antoniotejada/imageviewer
Simple but featured image viewer, designed for speed when browsing network drives and on low power computers like Raspberry Pi 2
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https://github.com/shsiena/Evolutionary-Dots
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https://github.com/vineet416/chronic-kidney-disease-prediction
This repository contain code of Chronic Kidney Disease Detection Prediction Project. The goal of this project is predict the chronic kidney disease using parameters like Diabetes Mellitus, Blood Urea, Sugar, Hypertension etc.. I used multiple machine learning algorithms with hyperparameter tuning which is having highest accuracy score of 97.5
data-visualization data-wrangling exploratory-data-analysis feature-engineering feature-selection hyperparameter-tuning machine-learning matplotlib numpy pandas plotly pre-processing python seaborn sklearn-library statsmodels
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https://github.com/anfany/python3-practice
基于Python3的多种工具实例代码、以及流行库的使用贴士
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https://github.com/tynab/numpy
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Hier handelt es sich NICHT um Lösungen sondern Lernunterlagen
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https://github.com/winter000boy/my-project-portfolio
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https://github.com/mauriciovazquezm/machinelearning_course_spring2023
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https://github.com/tritonix711/digitvision-number-predictor
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Covers emergency (911) Calls: Fire, Traffic, EMS for Montgomery County, PA analysis with visualizations.
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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.
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https://github.com/aroojzahra908/artifical-intelligence-and-machine-learning-
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https://github.com/cybergeek1943/mathflow
Like `requests` for mathematical computing, making complex math feel simple.
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