Computer Science

Python for Data Analysis

Python for Data Analysis

  • Downloads：4133
  • Type：Epub+TxT+PDF+Mobi
  • Create Date：2022-09-03 09:21:38
  • Update Date：2025-09-07
  • Status：finish
  • Author：Wes McKinney
  • ISBN：B0B9HY3WX7
  • Environment：PC/Android/iPhone/iPad/Kindle
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Summary

Finding great data analysts is difficult。 Despite the explosive growth of data in industries ranging from manufacturing and retail to high technology， finance， and healthcare， learning and accessing data analysis tools has remained a challenge。 This pragmatic guide will help train you in one of the most important tools in the field—Python。

Filled with practical case studies， Python for Data Analysis demonstrates the nuts and bolts of manipulating， processing， cleaning， and crunching data with Python。 It also serves as a modern introduction to scientific computing in Python for data-intensive applications。 Learn about the growing field of data analysis from an expert in the community。

Learn everything you need to start doing real data analysis work with Python

Get the most complete instruction on the basics of the “modern scientific Python platform”

Learn from an insider who builds tools for the scientific stack

Get an excellent introduction for novices and a wealth of advanced methods for experienced analysts

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Reviews

Truong ，

This review has been hidden because it contains spoilers。 To view it， click here。 Basic but I think it have a few things kinda complicated， but if you understand it super super good hehe

Danny Garcia ，

As what I would call a junior Python developer， I really felt like Python for Data Analysis helped expand my knowledge of the Python language and its uses in analyzing large data sets。 With that being said， I would encourage anyone thinking about a career as a data analyst/data scientist to use this book as a complimentary tool in conjunction with an actual course that allows you to put these skills in to practice。 I personally found a tremendous amount of overlap with the beginning of Dataquest As what I would call a junior Python developer， I really felt like Python for Data Analysis helped expand my knowledge of the Python language and its uses in analyzing large data sets。 With that being said， I would encourage anyone thinking about a career as a data analyst/data scientist to use this book as a complimentary tool in conjunction with an actual course that allows you to put these skills in to practice。 I personally found a tremendous amount of overlap with the beginning of Dataquest’s online Data Science in Python and Wes McKinney’s book。 It was a really helpful experience to read about a topic in the book and then learn how to implement it with the course。While I think Wes does a great job in teaching the basics of Pandas， NumPy， and various other libraries， computer programming is a field where you have to get hands on practice。 It would be very difficult to begin a career as a data scientist by simply reading this book and expecting to absorb every bit of information that Wes has to offer。 。。。more

Josiah Rudge ，

Very good。 Balances technicality with practicality。 McKinney makes it clear what the purpose of the lessons are， so at the end， you know what you know and know what you don't know。 Very good。 Balances technicality with practicality。 McKinney makes it clear what the purpose of the lessons are， so at the end， you know what you know and know what you don't know。 。。。more

Emile Tongunga ，

Very interesting Learning Python， I found this book and the examples therein very friendly and instructive。 I’d gladly recommend it to anyone。

Adam ，

Solid book but limited almost exclusively to pandas。 So the title is over promising。 As long as you know what to expect， you'll learn stuff from this book。 But it's not really a 'data analysis' book。 Solid book but limited almost exclusively to pandas。 So the title is over promising。 As long as you know what to expect， you'll learn stuff from this book。 But it's not really a 'data analysis' book。 。。。more

Duncan Anderson ，

Nice reference book for everything pandas related。 The exercises at the end could have been a little more interesting and I feel they didn't use all the methods described in the book。 Other than that， not much more you could ask for from the creator of pandas。 Lots of practice with matplotlib and numpy as well。 Nice reference book for everything pandas related。 The exercises at the end could have been a little more interesting and I feel they didn't use all the methods described in the book。 Other than that， not much more you could ask for from the creator of pandas。 Lots of practice with matplotlib and numpy as well。 。。。more

Michael Carroll ，

Well-written。 Clear， concise examples。 Author displays deep understanding of topic。 Was key developer of Pandas。 Hierarchical indexing helped me breakthrough a log jam in my own development project。

TirzaRuth ，

Excellent book for data analysis

Danijel Bosnjak ，

As others have already mentioned， the book is not really about data analysis using Python， more like pandas features。

Francisco ，

I came across this book by looking for something like "R for Data Science" but for Python/pandas。 Since it was authored by the creator of pandas itself， it seemed like a good resource to become familiar with data analysis with Python。I *really* wanted to like it， but after finishing it， I honestly can't recommend it。 It's a very dry book， and as someone else said in another review， it feels very much like reading more verbose documentation。 It's as if you were just receiving pieces of knowledge I came across this book by looking for something like "R for Data Science" but for Python/pandas。 Since it was authored by the creator of pandas itself， it seemed like a good resource to become familiar with data analysis with Python。I *really* wanted to like it， but after finishing it， I honestly can't recommend it。 It's a very dry book， and as someone else said in another review， it feels very much like reading more verbose documentation。 It's as if you were just receiving pieces of knowledge about pandas' capabilities and features， but not being helped to create a mental model of how those features fit into the data analysis process。The book is partially redeemed by its last chapter， which consisted of 5 applied cases with real-world data。 If I could go back in time， I would go with some other book （or a MOOC） to learn pandas basics， and then would use this last chapter to check my knowledge and get more practice。 。。。more

Thiago D ，

i still can’t believe that i:- bought a physical programming book- actually read it cover to cover- liked it so much i rated 5 stars 2021 is indeed an odd year

Rutuja ，

Thank you for the information。Python Course Thank you for the information。Python Course 。。。more

Joseph Yao ，

It's a reference book for people who deal with data every day。 You can always find something similar to solve your daily problems if python and Pandas is my primary tool for data analysis。 It's definitely worth every penny spent on it。 One thing a little disappointing about this book is its dull examples with lengthy explanations。 It's not as engaging as some books with more vivid examples。 It's a reference book for people who deal with data every day。 You can always find something similar to solve your daily problems if python and Pandas is my primary tool for data analysis。 It's definitely worth every penny spent on it。 One thing a little disappointing about this book is its dull examples with lengthy explanations。 It's not as engaging as some books with more vivid examples。 。。。more

Valeri Terziyski ，

It's almost like a documentation in a book It's almost like a documentation in a book 。。。more

Raimundas ，

Enormously useful， interesting。 It took me quite some time to read this book， but it was worth it！

Jozef Melichár ，

A comprehensive book about pandas package and related functions。 I'd like to have more real-life examples on real datasets as the author usually used random datasets to illustrate his case。 But except this， it's definitely a useful and practical book。 A comprehensive book about pandas package and related functions。 I'd like to have more real-life examples on real datasets as the author usually used random datasets to illustrate his case。 But except this， it's definitely a useful and practical book。 。。。more

Blazej Kazmierczak ，

Awesome examples in jupyter。

Dominik Jurko ，

Useful if you are a coder and want to start analyzing data。 If you actually read docs for pandas， NumPy etc。 then it does not bring much to the table。 But the broadcasting section has nice illustrations。

esplovago ，

Milestone book for learning data analysis with numpy， pandas， matplotlib

Vibhor Gupta ，

For me， this book served as a good source to learn data analysis using python。 The overview of tools available in pandas is great。Apart from that， chapters on Numpy and， Appendices also provide good information about the topics。

Kapton ，

The best book on ML/DS/AI。

Moeen Sahraei ，

It couldn’t have been better， A comprehensive book with a lot of details in data wrangling， it has been taught step by step so there is no confusion in figuring out the codes， the author explained the complex python subjects very intuitively so any one can read this book and learn data wrangling with some practice with data sets which book presented

Stephen ，

The O'Reilly （animal） book that is the essential reference to pandas and numpy， as used in iPython and Jupyter notebooks。 This book is a complete overview of the APIs and packages， hints and tips and some data sources for use with these first class data analysis tools。Do you need this book？ Maybe not。 There is so much reference information on the web， I tend to just google it。 Also it is not amazingly readable。 The Open University course "Learn to code for data analysis" is a better introduction The O'Reilly （animal） book that is the essential reference to pandas and numpy， as used in iPython and Jupyter notebooks。 This book is a complete overview of the APIs and packages， hints and tips and some data sources for use with these first class data analysis tools。Do you need this book？ Maybe not。 There is so much reference information on the web， I tend to just google it。 Also it is not amazingly readable。 The Open University course "Learn to code for data analysis" is a better introduction than this book。 However， if you have some understanding of iPython or Jupyter and the pandas library， and if you have time to sit down and read it， this book is an excellent and comprehensive source。 。。。more

chcubic ，

Compared with data analysis books written by people like Hadley Wickham， the author of this one obviously is more in the clan of "software development"， i。e。 caring more about "how" to use something without caring "why" use it。 So this book is more like an expanded version of man page。 Compared with data analysis books written by people like Hadley Wickham， the author of this one obviously is more in the clan of "software development"， i。e。 caring more about "how" to use something without caring "why" use it。 So this book is more like an expanded version of man page。 。。。more

Hoang Trung Hieu ，

In general， it's a very comprehensive introduction book to the numpy and pandas libs。 I'll vote 5* if it gives more practical examples with real life problems In general， it's a very comprehensive introduction book to the numpy and pandas libs。 I'll vote 5* if it gives more practical examples with real life problems 。。。more

Xianshun Chen ，

Just finished reading the book， very excellent materials about pandas as well as numpy。 While the book did not cover much of the insights on exploratory data analysis， it does have very good sections on data transformation and aggregation using pandas。

Ashok Krishna ，

A good introduction to Python for newbies。 3。5 stars！

Arthur Ryman ，

The author does a good job explaining the conceptual foundations of panda and NumPy。 The books provides a much needed supplement to learning these technologies through online help， docs， and forums。 The author also provides useful advice on how to use iPython， Jupyter， matplotlib， and how to debug， time， and profile Python code。 Well worth the time investment。

Jake Losh ，

A very good book。 I'd been using many of these tools for a while， sometimes using snippets cobbled together from dozens of disparate Stack Overflow threads， so it was really nice to have the material in a clear， thoughtful and organized way。 A very good book。 I'd been using many of these tools for a while， sometimes using snippets cobbled together from dozens of disparate Stack Overflow threads， so it was really nice to have the material in a clear， thoughtful and organized way。 。。。more

André ，

Very very in depth book on the technology。 Probably best read as a reference instead of straight through。 I think the some of the examples were a bit challenging to follow and techniques are are not explained in the greatest detail。

Reference

google book https://www.google.com/search?tbm=bks&q=Python for Data Analysis

hathitrust digital library https://babel.hathitrust.org/cgi/ls?q1=Python for Data Analysis&field1=ocr&a=srchls&ft=ft&lmt=ft

The British Library https://bll01.primo.exlibrisgroup.com/discovery/search?query=any,contains,Python for Data Analysis&tab=LibraryCatalog&search_scope=Not_BL_Suppress&vid=44BL_INST:BLL01&lang=en&offset=0