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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.
- NumPy. NumPy is one of the most widely-used Python libraries. It contains functionality for fast and efficient numerical computations, but its strength lies in working with arrays.
- pandas. The pandas library has become the backbone of data analysis in Python; it’s a must-know for those of you wanting to learn how to work with data.
- matplotlib. Producing nice visualizations quickly and easily is a key skill for many Python projects. Although there are many libraries for producing different kinds of plots in Python, matplotlib should be your first stop.
- os. This one isn’t as glamorous as some of the other Python libraries on this list. However, it comes in handy when you need to interact with the operating system from within your Python program.
Aug 1, 2023 · Exploring 50 Python libraries and sharing insights on the best ones. 1. Introduction: The Importance of Python Libraries. 2. Criteria for Assessing Python Libraries. 3. The Python...
- Taipy. Taipy is the new kid on the block. It was designed for easy development for both front-end (GUI) and your ML/Data pipeline(s). Create the application of your dreams thanks to
- Streamlit. Streamlit is a well-established library to quickly create web applications for pilots. Very easy to use! Essentials.
- Pandas. This library brings two core concepts, dataframes, and series, making data cleaning and preparation a painless process.
- 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.
Mar 12, 2024 · With this list, get a quick idea of 50 standard Python libraries and what they do whether you’re just getting started or looking to deepen your Python game. 1. Taipy has been designed to expedite application development, from initial prototypes to production-ready applications.
Feb 6, 2024 · In September 2023, I cloned over 34k open repositories from GitHub, focusing on those created from 2020 onwards to capture current trends. Each repository had at least 50 stars, helping to...
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May 8, 2023 · For instance, if you are learning Python to work in machine learning, your focus should be on libraries like pandas, NumPy, scikit-learn, TensorFlow, and so on. So, let’s see what Python libraries are the most popular for this year, 2023, and what field each library supports.
