ISBN: 9781784393878 - pandas cookbook: recipes for scientific computing, time series analysis and data visualization using python (25 resultados)

Condición: Good. Item in good condition. Textbooks may not include supplemental items i.e. CDs, access codes etc.

Paperback. Condición: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.

Paperback. Condición: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority.

Condición: Good. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

Paperback. Condición: Very Good. Pandas Cookbook: Recipes for Scientific Computing, Time Series Analysis and Data Visualization using Python This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping. . …

Paperback. Condición: Very Good. Shipped within 24 hours from our UK warehouse. Clean, undamaged book with no damage to pages and minimal wear to the cover. Spine still tight, in very good condition. Remember if you are not happy, you are covered by our 100% money back guarantee.

Paperback. Condición: new. New Copy. Customer Service Guaranteed.

Paperback. Condición: Very Good. First Edition. 513 pages; very minor curl to book. A couple of very minor smudges to the exterior edges of textblock. Very Good condition otherwise. No other noteworthy defects. No markings.; - Your satisfaction is our priority. We offer free returns and respond promptly to all inquiries. Your item will be packaged with care and ship on the same or next business day. Buy with confidence.…

Condición: New.

Condición: New.

Condición: As New. Unread book in perfect condition.

Paperback. Condición: New. Publisher's Note: A new second edition, updated completely for pandas 1.x with additional chapters, has now been published. This edition from 2017 is outdated and is based on pandas 0.20.Key Features. Use the power of pandas 0.20 to solve most complex scientific computing problems with ease. Leverage fast, robust data structures in pandas 0.20 to gain useful insights from your data. Practical, easy to implement recipes for quick solutions to common problems in data using pandas 0.20Book DescriptionThis book will provide you with unique, idiomatic, and fun recipes for both fundamental and advanced data manipulation tasks with pandas 0.20. 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.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 like one would do during an actual analysis. This book guides you, as if you were looking over the shoulder of an expert, through practical situations that you are highly likely to encounter.Many advanced recipes combine several different features across the pandas 0.20 library to generate results.What you will learn. Master the fundamentals of pandas 0.20 to quickly begin exploring any dataset. Isolate any subset of data by properly selecting and querying the data. Split data into independent groups before applying aggregations and transformations to each group. Restructure data into tidy form to make data analysis and visualization easier. Prepare real-world messy datasets for machine learning. Combine and merge data from different sources through pandas SQL-like operations. Utilize pandas unparalleled time series functionality. Create beautiful and insightful visualizations through pandas 0.20 direct hooks to Matplotlib and Seaborn.…

Paperback. Condición: New. Publisher's Note: A new second edition, updated completely for pandas 1.x with additional chapters, has now been published. This edition from 2017 is outdated and is based on pandas 0.20.Key Features. Use the power of pandas 0.20 to solve most complex scientific computing problems with ease. Leverage fast, robust data structures in pandas 0.20 to gain useful insights from your data. Practical, easy to implement recipes for quick solutions to common problems in data using pandas 0.20Book DescriptionThis book will provide you with unique, idiomatic, and fun recipes for both fundamental and advanced data manipulation tasks with pandas 0.20. 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.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 like one would do during an actual analysis. This book guides you, as if you were looking over the shoulder of an expert, through practical situations that you are highly likely to encounter.Many advanced recipes combine several different features across the pandas 0.20 library to generate results.What you will learn. Master the fundamentals of pandas 0.20 to quickly begin exploring any dataset. Isolate any subset of data by properly selecting and querying the data. Split data into independent groups before applying aggregations and transformations to each group. Restructure data into tidy form to make data analysis and visualization easier. Prepare real-world messy datasets for machine learning. Combine and merge data from different sources through pandas SQL-like operations. Utilize pandas unparalleled time series functionality. Create beautiful and insightful visualizations through pandas 0.20 direct hooks to Matplotlib and Seaborn.…

Condición: New.

Condición: New. In English.

Condición: As New. Unread book in perfect condition.

Paperback. Condición: New. Publisher's Note: A new second edition, updated completely for pandas 1.x with additional chapters, has now been published. This edition from 2017 is outdated and is based on pandas 0.20.Key Features. Use the power of pandas 0.20 to solve most complex scientific computing problems with ease. Leverage fast, robust data structures in pandas 0.20 to gain useful insights from your data. Practical, easy to implement recipes for quick solutions to common problems in data using pandas 0.20Book DescriptionThis book will provide you with unique, idiomatic, and fun recipes for both fundamental and advanced data manipulation tasks with pandas 0.20. 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.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 like one would do during an actual analysis. This book guides you, as if you were looking over the shoulder of an expert, through practical situations that you are highly likely to encounter.Many advanced recipes combine several different features across the pandas 0.20 library to generate results.What you will learn. Master the fundamentals of pandas 0.20 to quickly begin exploring any dataset. Isolate any subset of data by properly selecting and querying the data. Split data into independent groups before applying aggregations and transformations to each group. Restructure data into tidy form to make data analysis and visualization easier. Prepare real-world messy datasets for machine learning. Combine and merge data from different sources through pandas SQL-like operations. Utilize pandas unparalleled time series functionality. Create beautiful and insightful visualizations through pandas 0.20 direct hooks to Matplotlib and Seaborn.…

Paperback. Condición: New. Publisher's Note: A new second edition, updated completely for pandas 1.x with additional chapters, has now been published. This edition from 2017 is outdated and is based on pandas 0.20.Key Features. Use the power of pandas 0.20 to solve most complex scientific computing problems with ease. Leverage fast, robust data structures in pandas 0.20 to gain useful insights from your data. Practical, easy to implement recipes for quick solutions to common problems in data using pandas 0.20Book DescriptionThis book will provide you with unique, idiomatic, and fun recipes for both fundamental and advanced data manipulation tasks with pandas 0.20. 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.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 like one would do during an actual analysis. This book guides you, as if you were looking over the shoulder of an expert, through practical situations that you are highly likely to encounter.Many advanced recipes combine several different features across the pandas 0.20 library to generate results.What you will learn. Master the fundamentals of pandas 0.20 to quickly begin exploring any dataset. Isolate any subset of data by properly selecting and querying the data. Split data into independent groups before applying aggregations and transformations to each group. Restructure data into tidy form to make data analysis and visualization easier. Prepare real-world messy datasets for machine learning. Combine and merge data from different sources through pandas SQL-like operations. Utilize pandas unparalleled time series functionality. Create beautiful and insightful visualizations through pandas 0.20 direct hooks to Matplotlib and Seaborn.…

Condición: gut. Pandas Cookbook: Recipes for Scientific Computing, Time Series Analysis and Data Visualization using Python (English Edition) In englischer Sprache. pages.

PF. Condición: New. This item is printed on demand. Brand new book, sourced directly from publisher. Dispatch time is 6-7 days from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely.

PAP. Condición: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Paperback / softback. Condición: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.

Kartoniert / Broschiert. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. &Uumlber den AutorrnrnTheodore Petrou is the founder of Dunder Data, a training company dedicated to helping teach the Python data science ecosystem effectively to individuals and corporations. Read his tutorials and attempt his data science ch.…

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Publisher's Note: A new second edition, updated completely for pandas 1.x with additional chapters, has now been published. This edition from 2017 is outdated and is based on pandas 0.20.Over 95 hands-on recipes to leverage the power of pandas for efficient scientific computation and data analysisKey Features Use the power of pandas 0.20 to solve most complex scientific computing problems with ease Leverage fast, robust data structures in pandas 0.20 to gain useful insights from your data Practical, easy to implement recipes for quick solutions to common problems in data using pandas 0.20Book DescriptionThis book will provide you with unique, idiomatic, and fun recipes for both fundamental and advanced data manipulation tasks with pandas 0.20. 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.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 like one would do during an actual analysis. This book guides you, as if you were looking over the shoulder of an expert, through practical situations that you are highly likely to encounter.Many advanced recipes combine several different features across the pandas 0.20 library to generate results.What you will learn Master the fundamentals of pandas 0.20 to quickly begin exploring any dataset Isolate any subset of data by properly selecting and querying the data Split data into independent groups before applying aggregations and transformations to each group Restructure data into tidy form to make data analysis and visualization easier Prepare real-world messy datasets for machine learning Combine and merge data from different sources through pandas SQL-like operations Utilize pandas unparalleled time series functionality Create beautiful and insightful visualizations through pandas 0.20 direct hooks to Matplotlib and SeabornWho this book is forThis book is for data scientists, analysts and Python developers who wish to explore data analysis and scientific computing in a practical, hands-on manner. The recipes included in this book are suitable for both novice and advanced users, and contain helpful tips, tricks and caveats wherever necessary. Some understanding of pandas will be helpful, but not mandatory.…