Python for Data Science For Dummies
Product ID: 267334493
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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. Review: This book is a must-have for every student of data science - This book is a must-have for every student of data science Review: Excellent Book and Price - Excellent book. Lots of examples and good explanation in relation to the codes and results. However, it is necessary to explain the inputs when using database from the libraries (e.g. load_digits, boston_data) when they are presented at first time. The chapter of clustering very confuse, it is necessary to start with small examples. The book should have colours and better quality of paper, but for the price is fair enough.
| Best Sellers Rank | #246,585 in Books ( See Top 100 in Books ) #401 in Web Programming #602 in Computer Programming Languages #23,139 in Higher & Continuing Education Textbooks |
| Customer Reviews | 4.5 out of 5 stars 112 Reviews |
N**A
This book is a must-have for every student of data science
This book is a must-have for every student of data science
D**A
Excellent Book and Price
Excellent book. Lots of examples and good explanation in relation to the codes and results. However, it is necessary to explain the inputs when using database from the libraries (e.g. load_digits, boston_data) when they are presented at first time. The chapter of clustering very confuse, it is necessary to start with small examples. The book should have colours and better quality of paper, but for the price is fair enough.
T**W
Slowly working through the book. I am impressed with what I have seen thus far.
The books written by John Mueller et al are very easy to read and are great primers for budding Python Data Analytics/Data Scientists. I look forward to finishing this, my second book from John on Python Programming and will look forward to any future titles that he writes on this subject.
G**Y
Perfect gift for my son
Loved by my son, good service
J**.
verbal spew
The first 60 pages are among the worst I've ever encountered, bouncing randomly among topics, so that you often don't know what you're reading without a guess. The writing is verbose, saying very little, paragraph after paragraph. To shrink it down, they used a tiny font and minimal line spacing, making it difficult to read or to highlight the few useful bits. The list of failings goes on and on. This is a horrible book.
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