Python for Data Science: Learn Data Analysis, tips, and tricks of statistical and machine learning models, and How to build neural networks with Python
by Williams Clarke
Publisher Finelybook 出版社: 2022
Language 语言: English
pages 页数: 138 pages
Python for Data Science
Learn Data Analysis, tips, and tricks of statistical and machine learning models, and How to build neural networks with Python
Python is a computer programming language often used to build websites and software, automate tasks, and conduct data analysis. Python is a general-purpose language, meaning it can be used to create various programs and isn't specialized for any specific problems.
Unlike some other programming languages, there is generally the best way of doing something in Python. The three best and most essential Python libraries for data science are NumPy, Pandas, and Matplotlib.
Python is a high-level, interpreted, general-purpose programming language. Its design philosophy emphasizes code readability with the use of significant indentation. Python is dynamically-typed and garbage-collected.
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