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Pandas for Everyone: Python Data Analysis: Python Data Analysis (Addison-Wesley Data & Analytics Series) 1st Edition

4.4 out of 5 stars 134 ratings

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  • Pandas for Everyone: Python Data Analysis: Python Data Analysis (Addison-Wesley Data & Analytics Series)
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From the Publisher

Python 3 Python 3 Learning Python Learning Python Data Analysis with Python
A Very Simple Introduction to the Terrifyingly Beautiful World of Computers and Code The Next Step for New Python Programmers Quickly Get Productive with Python Become a Python Programmer and Have Fun Doing It The Hands-On, Example-Rich Introduction to Pandas Data Analysis in Python
User Experience Level New to programming and/or Python Perfect for everyone who’s already started working with Python, including junior developers and seasoned Python programmers upgrading to Python 3.6+ Although this book is for people who may be new to programming altogether, it also caters to people who want to know how Python works and how it’s fundamentally different 'under the hood.' For absolute beginners who’ve never written a line of code. Any level of Python experience (none to fluent) New to data analysis.
Learning Approach You’ll learn Python by working through brilliantly crafted exercises. Read them. Type their code precisely. (No copying and pasting!) Fix your mistakes. Watch the programs run. Hands-on - you’ll go far beyond the basics and learn how to analyze a concept, idea, or problem and then how to deisgn solutions by working through 52 crafted projects. Also includes access to 12 hours of video files. Takes you by the hand and teaching by examples that are explained line by line. There is heavy emphasis on examples that are fun and useful, including games, graphics, database applications, file storage, puzzles, and more. You will learn how to think 'Pythonically' and avoid common 'gotchas'. Friendly, easy, full-color. Each chapter will tell you a bit more about programming. It will show you how to do something, and then invite you to make something of your own by using what you’ve learned. Introduces key concepts through simple but practical examples, incrementally building on them to solve more difficult, real-world problems. Brings together practical knowledge and insight for solving real problems with Pandas, even if you’re new to Python data analysis.
Key Topics Organizing and writing code; Object-orinted programming; Basic game development; Basic web development Quick hacks; Data structures; Parsing text; SQL and object relational mapping In addition to Python fundamentals, this book pays a lot of attention to intermediate and even advanced features, including list comprehension, generators, multidimensional lists (matrixes), and decorators. Programming fundamentals Advanced programming Useful Python "Tidy" data; Cleaning and munging data; How to fit your data to models ; Fitting models in other languages
Python Versions Covered Python 3 Python 3.6 Python 3.0 with notes about adapting examples to Python 2.0. Python 2.7 Python 3 Python 3 (Anaconda)

Editorial Reviews

About the Author

Daniel Chen is a graduate student in the interdisciplinary PhD program in Genetics, Bioinformatics & Computational Biology (GBCB) at Virginia Tech. He is involved with Software Carpentry as an instructor and lesson maintainer. He completed his master’s degree in public health at Columbia University Mailman School of Public Health in Epidemiology, and currently works at the Social and Decision Analytics Laboratory under the Biocomplexity Institute of Virginia Tech where he is working with data to inform policy decision-making. He is the author of Pandas for Everyone and Pandas Data Analysis with Python Fundamentals LiveLessons.

Product details

  • Item Weight : 2.36 ounces
  • Paperback : 412 pages
  • ISBN-10 : 0134546938
  • ISBN-13 : 978-0134546933
  • Dimensions : 6.95 x 1 x 9.1 inches
  • Publisher : Addison-Wesley Professional; 1st edition (December 26, 2017)
  • Language: : English
  • Customer Reviews:
    4.4 out of 5 stars 134 ratings

Customer reviews

4.4 out of 5 stars
4.4 out of 5
134 global ratings
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Reviewed in the United States on June 19, 2018
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Reviewed in the United States on December 17, 2019
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Top reviews from other countries

[an IT company]
5.0 out of 5 stars Good starter book for data science
Reviewed in the United Kingdom on September 28, 2019
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Luca Gennari
5.0 out of 5 stars Best Pandas reference book
Reviewed in the United Kingdom on February 22, 2019
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Stefan
5.0 out of 5 stars Great support book
Reviewed in the United Kingdom on January 1, 2020
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LST
1.0 out of 5 stars Fake copy dilivered
Reviewed in India on June 1, 2020
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Avinash Dash
5.0 out of 5 stars Great book to learn pandas, but not a crash course
Reviewed in India on September 14, 2018
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