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Top 50 Python Libraries to Know in 2025

Analytics Vidhya

Python’s versatility and readability have solidified its position as the go-to language for data science, machine learning, and AI. With a rich ecosystem of libraries, Python empowers developers to tackle complex tasks with ease.

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Top 38 Python Libraries for Data Science, Data Visualization & Machine Learning

KDnuggets

This article compiles the 38 top Python libraries for data science, data visualization & machine learning, as best determined by KDnuggets staff.

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19 Free Data Science Courses by Harvard and IBM

Analytics Vidhya

Introduction Data science is a rapidly growing tech field that’s transforming business decision-making. These courses cover everything from basic programming to advanced machine learning. To break into this field, you need the right skills.

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Discover the power of Python for data science: A 6-step roadmap for beginners

Data Science Dojo

Python has become a popular programming language in the data science community due to its simplicity, flexibility, and wide range of libraries and tools. By learning Python, you can effectively clean and manipulate data, create visualizations, and build machine-learning models.

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Remote Data Science Jobs: 5 High-Demand Roles for Career Growth

Data Science Dojo

Remote work quickly transitioned from a perk to a necessity, and data science—already digital at heart—was poised for this change. For data scientists, this shift has opened up a global market of remote data science jobs, with top employers now prioritizing skills that allow remote professionals to thrive.

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Discover the power of Python for data science with Data Science Dojo

Data Science Dojo

Are you interested in learning Python for Data Science? Look no further than Data Science Dojo’s Introduction to Python for Data Science course. Python is a powerful programming language used in data science, machine learning, and artificial intelligence.

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Building an End- to-End Data Science App with Python

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. link] Overview In this article, we will detail the need for data scientists to quickly develop a Data Science App, with the objective of presenting to their users and customers, the results of Machine Learning experiments.