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‎README.md‎

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# Practice NumPy Programming Projects
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## Languages
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🇨🇳 [简体中文](README_zh.md) 🇯🇵 [日本語](README_ja.md) 🇪🇸 [Español](README_es.md) 🇫🇷 [Français](README_fr.md) 🇩🇪 [Deutsch](README_de.md) 🇷🇺 [Русский](README_ru.md) 🇰🇷 [한국어](README_ko.md) 🇧🇷 [Português](README_pt.md) 🇺🇸 [English](README.md)
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<div align="center">
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<img width="128px" src="https://file.labex.io/path/gdqX0QgXsYjL.png">
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</div>
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NumPy is fundamental to scientific computing in Python. This Skill Tree presents a systematic approach to learning NumPy. Perfect for data science beginners, it offers a structured roadmap to understand array operations, broadcasting, and numerical algorithms. Hands-on, non-video courses and practical exercises in a numerical analysis playground ensure you develop real-world skills in efficient data manipulation and computation.
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| Index | Name | Level | Project Link |
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|---------|-----------------------------------------------------------------------------------------------------------------------------------------------------|---------|-----------------------------------------------------------------------------------------------------|
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| 1 | [ASCII Art Animation With OpenCV](https://labex.io/courses/project-ascii-art-animation-with-opencv) | ★☆☆ | [🚀 Start](https://labex.io/courses/project-ascii-art-animation-with-opencv) |
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| 2 | [Gravitational Simulation of Earth and Super Jupiter](https://labex.io/courses/project-gravitational-simulation-of-earth-and-super-jupiter) | ★☆☆ | [🚀 Start](https://labex.io/courses/project-gravitational-simulation-of-earth-and-super-jupiter) |
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| 3 | [K-Nearest Neighbors Regression Algorithm Implementation](https://labex.io/courses/project-k-nearest-neighbors-regression-algorithm-implementation) | ★☆☆ | [🚀 Start](https://labex.io/courses/project-k-nearest-neighbors-regression-algorithm-implementation) |
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| 4 | [Implementing Minkowski Distance Metric](https://labex.io/courses/project-implementing-minkowski-distance-metric) | ★☆☆ | [🚀 Start](https://labex.io/courses/project-implementing-minkowski-distance-metric) |
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| 5 | [Implementation of Polynomial Regression](https://labex.io/courses/project-polynomial-regression-implementation-and-application) | ★☆☆ | [🚀 Start](https://labex.io/courses/project-polynomial-regression-implementation-and-application) |
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| 6 | [Simple Handwritten Character Recognition Classifier](https://labex.io/courses/project-simple-handwritten-character-recognition-classifier) | ★☆☆ | [🚀 Start](https://labex.io/courses/project-simple-handwritten-character-recognition-classifier) |
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## More Projects
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- [Linux Programming Projects](https://github.com/labex-labs/practice-linux-programming-projects)
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- [DevOps Programming Projects](https://github.com/labex-labs/practice-devops-programming-projects)
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- [Cybersecurity Programming Projects](https://github.com/labex-labs/practice-cybersecurity-programming-projects)
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- [Python Programming Projects](https://github.com/labex-labs/practice-python-programming-projects)
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- [Docker Programming Projects](https://github.com/labex-labs/practice-docker-programming-projects)
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- [Kubernetes Programming Projects](https://github.com/labex-labs/practice-kubernetes-programming-projects)
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- [Git Programming Projects](https://github.com/labex-labs/practice-git-programming-projects)
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- [Shell Programming Projects](https://github.com/labex-labs/practice-shell-programming-projects)
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- [Java Programming Projects](https://github.com/labex-labs/practice-java-programming-projects)
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- [MySQL Programming Projects](https://github.com/labex-labs/practice-mysql-programming-projects)
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- [MongoDB Programming Projects](https://github.com/labex-labs/practice-mongodb-programming-projects)
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- [Golang Programming Projects](https://github.com/labex-labs/practice-go-programming-projects)
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- [Ansible Programming Projects](https://github.com/labex-labs/practice-ansible-programming-projects)
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- [Jenkins Programming Projects](https://github.com/labex-labs/practice-jenkins-programming-projects)
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- [C Programming Projects](https://github.com/labex-labs/practice-c-programming-projects)
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- [C++ Programming Projects](https://github.com/labex-labs/practice-cpp-programming-projects)
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- [Machine Learning Programming Projects](https://github.com/labex-labs/practice-ml-programming-projects)
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- [Data Science Programming Projects](https://github.com/labex-labs/practice-data-science-programming-projects)
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- [Pandas Programming Projects](https://github.com/labex-labs/practice-pandas-programming-projects)
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- [NumPy Programming Projects](https://github.com/labex-labs/practice-numpy-programming-projects)
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- [scikit-learn Programming Projects](https://github.com/labex-labs/practice-sklearn-programming-projects)
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- [Matplotlib Programming Projects](https://github.com/labex-labs/practice-matplotlib-programming-projects)
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- [Web Development Programming Projects](https://github.com/labex-labs/practice-web-development-programming-projects)
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- [HTML Programming Projects](https://github.com/labex-labs/practice-html-programming-projects)
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- [CSS Programming Projects](https://github.com/labex-labs/practice-css-programming-projects)
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- [JavaScript Programming Projects](https://github.com/labex-labs/practice-javascript-programming-projects)
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- [React Programming Projects](https://github.com/labex-labs/practice-react-programming-projects)
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## Other Lists
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- 🔗 [NumPy Free Tutorials](https://github.com/labex-labs/numpy-free-tutorials)
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NumPy is the foundation of scientific computing in Python. This Skill Tree provides a systematic way to learn NumPy. Ideal for data science beginners, it offers a structured learning path to master array operations, broadcasting, and numerical algorithms. Hands - on, non - video courses and practical exercises in a numerical analysis playground help you develop real - world skills in efficient data manipulation and computation.
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## Exercises
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| Index | Name | Difficulty | Practice |
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|---------|--------------------------------------------------------------------------------------------------------------------------------------------------------|--------------|-------------------------------------------------------------------------------------------------------------|
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| 1 | [ASCII Art Animation With OpenCV](https://labex.io/en/courses/project-ascii-art-animation-with-opencv) | ★☆☆ | [🚀 Start Lab](https://labex.io/en/courses/project-ascii-art-animation-with-opencv) |
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| 2 | [Gravitational Simulation of Earth and Super Jupiter](https://labex.io/en/courses/project-gravitational-simulation-of-earth-and-super-jupiter) | ★☆☆ | [🚀 Start Lab](https://labex.io/en/courses/project-gravitational-simulation-of-earth-and-super-jupiter) |
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| 3 | [K-Nearest Neighbors Regression Algorithm Implementation](https://labex.io/en/courses/project-k-nearest-neighbors-regression-algorithm-implementation) | ★☆☆ | [🚀 Start Lab](https://labex.io/en/courses/project-k-nearest-neighbors-regression-algorithm-implementation) |
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| 4 | [Implementing Minkowski Distance Metric](https://labex.io/en/courses/project-implementing-minkowski-distance-metric) | ★☆☆ | [🚀 Start Lab](https://labex.io/en/courses/project-implementing-minkowski-distance-metric) |
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| 5 | [Implementation of Polynomial Regression](https://labex.io/en/courses/project-polynomial-regression-implementation-and-application) | ★☆☆ | [🚀 Start Lab](https://labex.io/en/courses/project-polynomial-regression-implementation-and-application) |
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| 6 | [Simple Handwritten Character Recognition Classifier](https://labex.io/en/courses/project-simple-handwritten-character-recognition-classifier) | ★☆☆ | [🚀 Start Lab](https://labex.io/en/courses/project-simple-handwritten-character-recognition-classifier) |
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## More
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- 🔗 [NumPy Learn more about](https://labex.io/en/skilltrees/numpy)
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- 🔗 [Awesome Programming Projects](https://github.com/labex-labs/awesome-programming-projects)
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- 🔗 [Awesome Programming Courses](https://github.com/labex-labs/awesome-programming-courses)
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