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Introduction If you’ve been in the data field for quite some time, you’ve probably noticed that some technical skills are becoming more dominant, and the data backs this up. Until the release of NumPy in 2005, Python was considered slow for numeric analysis. But Numpy changed that.
Introduction If you work with programming languages and are familiar with Python, you must have had a brush with Pandas, a robust yet flexible data manipulation and analysis library. It was founded by Wes McKinney in 2008. appeared first on Analytics Vidhya.
Photo by Juraj Gabriel on Unsplash Dataanalysis is a powerful tool that helps businesses make informed decisions. In today’s blog, we will explore the Netflix dataset using Python and uncover some interesting insights. Further Analysis From the first plot, we can see the frequency of content added by Netflix from 2008 to 2021.
Mirjalili, Python Machine Learning, 2nd ed. McKinney, Python for DataAnalysis: Data Wrangling with Pandas, NumPy, and IPython, 2nd ed., Natural Language Processing with Python — Analyzing Text with the Natural Language Toolkit. 2008 (2nd edition). 3, IEEE, 2014. Packt, ISBN: 978–1787125933, 2017.
Hey guys in this video we will see the best Python Interview Questions. Python has become one of the most popular programming languages in the world, thanks to its simplicity, versatility, and vast array of applications. As a result, Python proficiency has become a valuable skill sought after by employers across various industries.
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