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- NumPy. NumPy is the short name for Numerical Python, which is a Python library predominantly used for technical and scientific computing. Its array-oriented computing capabilities make it an essential tool for fields such as linear algebra, statistical analysis, and machine learning.
- Pandas. Pandas is an open-source data manipulation library for Python. It is built on top of the NumPy library. It introduces two primary data structures Series and DataFrame.
- Matplotlib. Matplotlib is a data visualization library that allows developers to create static animated and interactive animations in Python. The graphs and plots it produces are extensively used for data visualization.
- TensorFlow. It is an open-source Python library for machine learning and artificial intelligence. It is particularly used for training and inference of deep neural networks.
Mar 12, 2024 · Star ⭐ the Selenium repository. 15. Pygame. Provides Python modules for writing video games, including graphical and sound libraries. Star ⭐ the Pygame repository. 16. Pillow (PIL Fork) Extends Python Imaging Library capabilities, supporting various image file formats. Star ⭐ the Pillow repository.
Jan 15, 2024 · Top Python Libraries in 2024. 24 Best Python Libraries You Should Check in 2023. Watch on. 1. Requests. Primary Benefit: Streamlines HTTP requests for easy and efficient web communication in Python. Why I Chose This Python Library: Taking the first spot on my list is the Python Requests library.
- Python libraries are used to extend the functionality of Python, allowing for more effortless execution of a wide range of tasks like data analysis...
- Not all Python libraries are free; some require a license for commercial use, although many are open-source and free to use.
- The Standard Library in Python is a collection of modules and packages that come pre-installed with Python, providing ready-to-use solutions for ma...
Dec 21, 2023 · Top Python Libraries of 2023 and 2024 NumPy. NumPy is the gold standard for scientific computing in Python and is always considered amongst top Python libraries. It is a library for array manipulation that has been downloaded hundreds of times per month and stands at over 25,000 stars on GitHub.
- OS and Shutil. The OS and Shutil modules keep being brought up by online users as some of the most easy-to-work with libraries for Python — even if they’re not strictly libraries.
- NumPy. NumPy stands for “Numerical Python”. It is a commonly used open-source library that is used in almost all fields of science and engineering because of its speciality in numerical computation and data analysis, especially in large volumes.
- Matplotlib. Matplotlib is a Python library for visualising two-dimensional graphics (plotting). It is the most widely used Python package for viewing 2D plots.
- SciPy. SciPy, shorthand for “Scientific Python,” is an open-source library for high-level scientific computations that can’t be done with your brave, little abacus 🧮.
Dec 18, 2023 · 3. Pandas. This library brings two core concepts, dataframes, and series, making data cleaning and preparation a painless process. 4. Numpy. While Pandas has data frames, Numpy has arrays. They are known for allowing fast data manipulation, making Numpy an essential tool for scientific computing. 5. Requests.
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Dec 20, 2023 · fastLLaMa — Python wrapper to run Inference of LLaMA models using C++. hidet — open-source deep learning compiler, written in Python. It supports end-to-end compilation of DNN models from PyTorch and ONNX to efficient cuda kernels. LPython — compiler that aggressively optimizes type-annotated Python code.
