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 Dane Allen (Author)
ASIN : B0BB65JRQT
Publisher Finelybook 出版社：Independently published (August 21, 2022)
pages 页数：157 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 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.
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 a variety of different programs and isn't specialized for any specific problems.
Python is the programming language of choice for data scientists. Although it wasn't the first primary programming language, its popularity has grown throughout the years.
Python is an open-source, interpreted, high-level language and provides a great approach for object-oriented programming. It is one of the best languages used by a data scientist for various data science projects/applications.