The fast and easy way to learn Python programming and statistics.
Python is a general-purpose programming language created in the late 1980s - and named after Monty Python - that's used by thousands of people to do things from testing microchips at Intel, to powering Instagram, to building video games with the PyGame library.
Python For Data Science For Dummies is written for people who are new to data analysis, and discusses the basics of Python data analysis programming and statistics. The book also discusses Google Colab, which makes it possible to write Python code in the cloud.
Get started with data science and Python Visualize information Wrangle data Learn from data
The book provides the statistical background needed to get started in data science programming, including probability, random distributions, hypothesis testing, confidence intervals, and building regression models for prediction.
Unleash the power of Python for your data analysis projects with For Dummies!Python is the preferred programming language for data scientists and combines the best features of Matlab, Mathematica, and R into libraries specific to data analysis and visualization.
The best applications use data and present it in a meaningful, easy-to-understand way. Packed with sample code and tutorials, this book will walk you through installing common charts, graphics, and utility libraries for the Python programming language.
Python Programming is designed as a textbook to fulfil the requirements of the first-level course in Python programming. It is suited for undergraduate degree students of computer science engineering, IT as well as computer applications.
Python Programming Crash Course 2 in 1This Book Includes: Python Programming for Beginners, Python Programming for Intermediates Learn the Fundamentals of Python ProgrammingPython is one of the best programming languages out there. It is easy for beginners to learn and powerful enough to help even advanced programmers get their wo ...
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