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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.
- 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.
- What Is A Library?
- What Is A Python Library?
- Top 30 Python Libraries List
- Important Python Libraries For Data Science
- Further Reading
A library is a collection of pre-combined codes that can be used iteratively to reduce the time required to code. They are particularly useful for accessing the pre-written, frequently used codes instead of writing them from scratch every single time. Similar to physical libraries, these are a collection of reusable resources, which means every lib...
A Python library is a collection of modules and packages that offer a wide range of functionalities. These libraries enable developers to perform various tasks without writing code from scratch. They contain pre-written code, classes, functions, and routines that can be used to develop applications, automate tasks, manipulate data, perform mathemat...
This table includes libraries essential for data scientists, web developers, and software engineers working with Python. Each library has its own strengths and is chosen for specific tasks, from web development frameworks like Django and Flask to machine learning libraries like TensorFlow and PyTorch to data analysis and visualization tools like Pa...
Here’s a list of interesting and important Python Libraries that will be helpful for all Data Scientists out there. So, let’s start with the 20 most important libraries used in Python- Scrapy- It is a collaborative framework for extracting the data that is required from websites. It is quite a simple and fast tool. BeautifulSoup- This is another po...
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...
Nov 7, 2023 · TensorFlow. TensorFlow is an end-to-end machine learning Python library that Google developed. With TensorFlow, you can run standard machine learning algorithms, create neural networks, and do numerical computations. However, a deep understanding of vectors and algebra is needed to work with TensorFlow.
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Mar 22, 2023 · These libraries can greatly extend the functionality of your code and save you time and effort when developing applications. In this blog post, we will explore the top 10 Python libraries every developer should know, providing a brief overview, code examples, and explanations for each library. Whether you're a beginner or an experienced ...
