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Building the world's most popular data science platform

Practical AI

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Evolution of Python in Data Science

This chapter explores the founding of Anaconda and the rise of Python as the programming language of choice for data science. It discusses the contributions from diverse scientific fields that have enriched Python’s ecosystem, leading to invaluable libraries like Pandas and NumPy. Additionally, the chapter addresses the challenges of software distribution and packaging in the context of Python's growth and its impact on usability in data analysis.

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