Top 10 Python Libraries

1

Scrapy

ScraPy is also a popular open-source Python library for large-scale web scraping by building crawling programs, also known as spiders. BeautifulSoup helps you scrape data from websites but not via CSV or API. ScraPy gathers structured data from the Web (contact info or URLs) and can be used to scrape data from APIs or Python machine learning models, data mining, information processing, and more.

#Web Scraping #Data Extraction #Data 93 social mentions

2

Scikit-learn

Scikit-learn is a free and open-source software for data analysis and data mining tasks. It is also used to build machine learning models and works efficiently with complex data. Scikit-learn is built atop other Python libraries, and hence it is interoperable with most of the other Python libraries (NumPy, SciPy, Pandas, etc.).

#Data Science And Machine Learning #Data Science Tools #Python Tools 27 social mentions

3

Robot framework

Robot Framework is an open-source test automation framework for process automation and the testing of hardware and software systems under development.

#Automated Testing #Browser Testing #Website Testing 29 social mentions

4

PyTorch

Released in 2016, PyTorch is free, open-source, and the largest machine learning library developed by Facebook’s AI Research Lab. It is based on Torch, an open-source deep-learning library implemented in C with a wrapper in Lua.

#Data Science And Machine Learning #Data Science Tools #AI 106 social mentions

5

Pandas

Pandas is a machine learning library that offers high-level data structures and a wide variety of tools for data analysis. It provides essential data structures like series, data frames, and panels, which help manipulate data sets and time series. It also offers high-level abstraction and multiple methods for convenient data filtering.

#Data Science And Machine Learning #Data Science Tools #Python Tools 198 social mentions

6

NumPy

NumPy is an open-source numerical Python library used for scientific computing and performing basic and advanced array operations. It supports multi-dimensional arrays and matrices along with a collection of high-level mathematical functions. It manipulates this data using complex mathematical operations like Fourier transformation, linear algebra, random number, etc. You can also use NumPy as an efficient multi-dimensional container to treat generic data.

#Data Science And Machine Learning #Data Science Tools #Python Tools 107 social mentions

7

Matplotlib

Matplotlib is a popular cross-platform library used for exploration, data visualization, and for making 2D plots from data in arrays. You can use it to design different figures in multiple formats compatible with your respective platforms. Matplotlib offers multiple charts and customizations such as histograms, bar charts, scatterplots, non-Cartesian coordinates graphs, etc. It also offers an array of colors, themes, palettes, etc., to customize and personalize your plots.

#Data Visualization #Development #Technical Computing 98 social mentions