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This article introduces the knowledge of "what are the popular Python libraries". In the operation of practical cases, many people will encounter such a dilemma, so let the editor lead you to learn how to deal with these situations. I hope you can read it carefully and be able to achieve something!

NumPy

NumPy is a Python library mainly used for data analysis, scientific computing and data science. NumPy mainly supports multidimensional arrays and matrices. It is one of the most basic data science libraries in Python. Internally, Tensorflow and many other Python libraries also use NumPy to operate on tensors. NumPy is more like a general-purpose Python package.

Pandas

Pandas is another Python library that is best suited for collating and merging data. Pandas is mainly used for easy and fast data processing, data aggregation and data visualization. Pandas is used to create data boxes (Python objects) from CSV files.

Matplotlib

Matplolib is another useful Python library for data visualization. Descriptive analysis and visualization of data are important to any organization. Matplotlib provides a variety of ways to effectively visualize data. Matplotlib allows you to quickly create line charts, pie charts, histograms, and other professional-level graphics. With Matplotlib, you can customize every aspect of the graph. Matplotlib has interactive functions such as zooming, planning, and saving graphics in graphic format.

Scikit-Learn

Scikit-Learn is one of the most dynamic and extensive machine learning libraries in classical ML algorithms. It is built on top of two basic Python libraries, NumPy and SciPy. Scikit-Learn provides support for most supervised and unsupervised learning algorithms. This library can also be used for data mining, data collection, and data analysis, which makes it a good tool for beginners learning ML.

Scikit-learn is a free machine learning library, thanks to Python. Including classification, regression, clustering and other algorithms, as well as support vector machine, gradient enhancement, random forest, k-means and so on.

Tensorflow

According to Wikipedia, TensorFlow is a free and open source programming construct, often referred to as a library of data streams and differentiable programming, that can be used for a wide range of tasks. It is a library for machine learning applications, such as neural networks, fuzzy logic and genetic algorithms.

Keras

Keras is an important machine learning library of Python. It is an advanced neural network API, which may run on TensorFlow, CNTK or Theano. It runs smoothly on CPU and GPU. Keras enables ML beginners to build, design, and build neural networks effortlessly. Simple and rapid prototyping is a powerful feature of Keras.

Keras is a deep learning library that contains the functionality of other libraries (such as Tensorflow, Theano, or CNTK). Written in Python. Because it runs on Tensorflow. Keras has an advantage over competitors such as scikiti-learn and PyTorch.

Scrapy

Scrapy is a Python framework that is widely used for Web fetching. Scrapy is widely used to extract, store and process large amounts of Web data. Scrapy makes it easy for us to process large amounts of data.

Some of the main applications of Scrapy include web crawling, data extraction and other information, which are ultimately used for decision-making purposes. Scrapy is an indispensable part of data science. It helps us to collect data, store data compactly, and analyze the data to draw meaningful conclusions.

Seaborn

Seaborn is mainly a data visualization library based on Matplotlib. This library allows you to organize informational and statistical visual effects as well as illustrative charts. Seaborn makes data visualization an integral part of data exploration and analysis. This library is best suited for checking the relationships between multiple variables.

Seaborn performs all important semantic mappings and statistical summaries internally to generate infographs. The Python library for data visualization also has tools for picking colors to customize the dataset in the drawing.

SciPy

SciPy includes a large number of modules including integration, linear algebra, mathematical calculation, optimization and statistics. This open source Python library allows developers and data engineers to work on Fourier transform, ODE solving, signal and image processing, and more.

Plotly

The Plotly python Library (plotly.py) is an interactive open source drawing library. It supports more than 40 different icon types, covering a wide range of statistical, financial, geographic, scientific and 3D user cases.

Because it is based on the Plotly JavaScript library (plotly.js), plotly.py allows Python users to create beautiful interactive web-based visualization that can be displayed in Jupyter Notebooks, saved as a separate HTML file, or as part of a web application developed using pure Python using Dash.

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