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Python for Everybody: Exploring Data in Python 3 Paperback – April 9, 2016
"Devoted" by Dean Koontz
For the first time in paperback, from Dean Koontz, the master of suspense, comes an epic thriller about a terrifying killer and the singular compassion it will take to defeat him. | Learn more
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About the Author
- Item Weight : 15.2 ounces
- Paperback : 245 pages
- ISBN-13 : 978-1530051120
- Product dimensions : 7 x 0.56 x 10 inches
- Publisher : CreateSpace Independent Publishing Platform (April 9, 2016)
- Language: : English
- Customer Reviews:
Top reviews from the United States
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Severance then describes how to start a conversation with Python - after first installing the Python software on your computer. Much/most of that information is offline, accessible through a link he provides. Continuing, >>> is Python's way of asking 'What do you want me to do next?' and the need for parentheses surround the description of what you want your computer to do. Python, like other programming languages, is very picky about syntax.
Then on to labeling/describing data to be used. Etc.
Overall, this book is a good overview for someone seriously interested in becoming a python programmer, not so good for someone just wanting to get a sense of what Python can do and how it would go about accomplishing such.
I have learnt many programming languages and read many books how to program. This is my favorite one because it is the easiest to read. The coding examples are easy to understand for the beginner. I am highly recommending this book for all non-programmers who want to learn the programming concept and to understand how program code works.
- A data analyst from a non-datascience background learning Python for the first time.
Top reviews from other countries
Only niggle: was that done exercises didn’t coincide with video lectures and vice versatility and there was no single point to see answers in the book but you can find some of the answers on the internet.
Overall I would highly recommend this book and videos to anyone who wishes to learn Python period and it’s cheaper that DataCamp subscription etc