Pandas 1.x Cookbook: Practical recipes for scientific computing, time series analysis, and exploratory data analysis using Python
Product ID: 190647603
Use the power of pandas to solve most complex scientific computing problems with ease. Revised for pandas 1.x. Key Features This is the first book on pandas 1.x Practical, easy to implement recipes for quick solutions to common problems in data using pandas Master the fundamentals of pandas to quickly begin exploring any dataset Book Description The pandas library is massive, and it's common for frequent users to be unaware of many of its more impressive features. The official pandas documentation, while thorough, does not contain many useful examples of how to piece together multiple commands as one would do during an actual analysis. This book guides you, as if you were looking over the shoulder of an expert, through situations that you are highly likely to encounter. This new updated and revised edition provides you with unique, idiomatic, and fun recipes for both fundamental and advanced data manipulation tasks with pandas. Some recipes focus on achieving a deeper understanding of basic principles, or comparing and contrasting two similar operations. Other recipes will dive deep into a particular dataset, uncovering new and unexpected insights along the way. Many advanced recipes combine several different features across the pandas library to generate results. What you will learn Master data exploration in pandas through dozens of practice problems Group, aggregate, transform, reshape, and filter data Merge data from different sources through pandas SQL-like operations Create visualizations via pandas hooks to matplotlib and seaborn Use pandas, time series functionality to perform powerful analyses Import, clean, and prepare real-world datasets for machine learning Create workflows for processing big data that doesn’t fit in memory Who this book is for This book is for Python developers, data scientists, engineers, and analysts. Pandas is the ideal tool for manipulating structured data with Python and this book provides ample instruction and examples. Not only does it cover the basics required to be proficient, but it goes into the details of idiomatic pandas. Table of Contents Pandas Foundations Essential DataFrame Operations Creating and Persisting DataFrames Beginning Data Analysis Exploratory Data Analysis Selecting Subsets of Data Filtering Rows Index Alignment Grouping for Aggregation, Filtration and Transformation Restructuring Data into a Tidy Form Combining Pandas Objects Time Series Analysis Visualization with Matplotlib, Pandas, and Seaborn Debugging and Testing Pandas Review: Great for In Depth Knowledge of Pandas - I have been learning data science/data analysis online through Coursera and the Dataquest platform. I felt that I did not get enough information or instruction on how to work with pandas. While I am only half way through the book so far, it is really giving me great insight and a lot of practice with different pandas techniques. WIthin the first few chapters I felt like I had a much better understanding of how to manipulate data in pandas. If you feel that you don't have a full grasp of pandas, then I highly recommend this book for you Review: Visualizing Best Practices to Code - I really appreciated the examples as 'recipes' to walk through how to think in code and in visuals. This book showed how using Python is not just about coding and visualizing results, but WALKING through the "how" to articulate and visualize the problem. I was grateful for the alternative methods highlighted and explanations of where chaining in helpful and when to not chain if the need for simplicity emerged. Thank you!
| Best Sellers Rank | #3,168,083 in Kindle Store ( See Top 100 in Kindle Store ) #788 in Data Mining (Kindle Store) #1,616 in Data Mining (Books) #1,761 in Python Programming |
D**N
Great for In Depth Knowledge of Pandas
I have been learning data science/data analysis online through Coursera and the Dataquest platform. I felt that I did not get enough information or instruction on how to work with pandas. While I am only half way through the book so far, it is really giving me great insight and a lot of practice with different pandas techniques. WIthin the first few chapters I felt like I had a much better understanding of how to manipulate data in pandas. If you feel that you don't have a full grasp of pandas, then I highly recommend this book for you
M**M
Visualizing Best Practices to Code
I really appreciated the examples as 'recipes' to walk through how to think in code and in visuals. This book showed how using Python is not just about coding and visualizing results, but WALKING through the "how" to articulate and visualize the problem. I was grateful for the alternative methods highlighted and explanations of where chaining in helpful and when to not chain if the need for simplicity emerged. Thank you!
B**E
Dense book - lots of discussion
Covers pandas fully with examples, but the examples seem to focus on already know data sets. Uses them throughout the book, but that should not detract from the proof of value in pandas. Will use more for a reference.
E**M
Exactly what I was looking for
This book is gold if you are trying to learn a new skill or improve basic Python/Pandas skills. I had been looking into multiple books options but this one by far was the best when I read the sample and now that I have the physical book I am really glad I got it
G**N
Great content, missing index
Just about everything you need is in this book, however 2 stars off as there is no index. Just try lookin up what .iloc or any other function method does! I have resorted to writing in each term I need in the index myself as this is the first place I check when I need some use fact.
B**E
A Very Well Written Book
A really wonderful no-nonsense book. The author gives insight into how Pandas can be used in real world with all practical scenarios and usages. Highly Recommend.
H**R
Excelente entrega
La entrega fue antes de lo esperado, lamentablemente uno de los libros venia arrugado y con las primeras hojas en muy mal estado.
S**G
Good Content. No Index or TOC, Difficult to Use Reference
I purchased the digital version of this book to use as a reference while working in Pandas. The content that I have seen is good. It goes into a lot of scenarios a lot of other training and how to's don't cover. However, what could be construed as a TOC is located in the Preface and the chapters are not linked. It has no links for organization or ease of use anywhere that I have come across. There is an index, but no link to get to the index, so you have to create a book mark or just remember. It's on page 598 by the way. This is almost a deal breaker. I may return this and look for another reference. It's a shame. Finally, the digital version does not format well at all on my Kindle Fire. Using the PC cloud reader it is fine. At the end of the day, good content, difficult to use.
M**L
Imprescindible si usas Pandas
Libro imprescindible si usas Pandas. Es un libro que me ha resuelto muchos quebraderos de cabeza, llevo usando Pandas varios años y tras leer el libro he dado un paso gigante en el uso de la librería y en las posibilidades que ofrece. Tras leer el libro me puse a indagar un poco más sobre los trabajos de Ted Petrou y su plataforma en Dunderdata (punto com) es totalmente recomendable para poder seguir aprendiendo sobre Data Science, ML, dashboards, etc. con información actualizada que conviene echarle un vistazo si estás interesado en este campo.
D**A
Veio sem cores..
O livro é ótimo, porém os gráficos vieram todos preto e branco. Gráficos coloridos são importantes pra o entendimento do texto. Na versão online temos todos os gráficos coloridos. Não entendi oq rolou aqui.
P**R
Great applied book on pandas
I had the hard copy of 1st edition, I bought the kindle version this time. As these books get outdated in 6 months. Now as far as book is concerned, there are lot of new things to be learnt like new pandas NA types which behaves exactly like R NAs, pipe method, pd.NamedAgg etc, these are some of new methods which came recently to pandas. I follow these two authors and there are lot to learn. They both have their own companies and many things can be learnt from their contents. I am glad that they decided to do a collaboration and wrote this. Even if you are experienced in pandas. You will still get lot of new things. I have finished the book in 15 days by doing examples side by side. This book is not heavy on brain. Its very applied and no nonnsense book. Thanks to Ted and Matt for writing this book.
D**C
Good book on Pandas
Used this book to help with some extra hints for my Python programming course
J**8
Bible de l'utilisateur Python/Pandas
REFERENCE Tres complete en la matiere. Vaut son prix.
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