What is the main focus of Learning Pandas - Second Edition?

The main focus of 'Learning Pandas - Second Edition' is to provide readers with a comprehensive understanding of data manipulation and analysis using the Pandas library in Python. This edition dives deep into DataFrame operations, data wrangling, and advanced data manipulation techniques. It is ideal for data analysts who wish to leverage Python's capabilities for handling complex data scenarios, such as conducting extensive data analysis, cleaning data sets, or managing time series data.

Who is the target audience for this book?

'Learning Pandas - Second Edition' is targeted at data scientists, analysts, and programmers who seek to enhance their skills in data manipulation using Python. Whether you are a beginner stepping into data science or an experienced programmer aiming to refine your skills, this book offers a structured approach to mastering Pandas. Through practical examples and hands-on exercises, it equips readers with the knowledge needed to navigate extensive datasets efficiently.

What new content is included in the second edition?

The second edition of 'Learning Pandas' includes updated content reflecting the latest versions of the Pandas library, with enhancements in functionalities and features. It presents new concepts such as performance optimizations, data visualization techniques, and expanded use cases. Readers will also benefit from additional examples and exercises tailored to real-world scenarios, making it more relevant and useful for tackling data challenges in various domains.

Is prior programming experience required to read this book?

While having prior programming experience can be beneficial, 'Learning Pandas - Second Edition' is structured to be approachable for beginners. The book provides foundational concepts in Python required to understand Pandas effectively. It guides readers through both basic and advanced topics, ensuring that those new to programming can follow along with practical examples while paving the way for more complex data operations.

How does this book help with data visualization?

This book not only focuses on data manipulation but also integrates data visualization techniques along with Pandas. It teaches readers to employ various visualization libraries like Matplotlib and Seaborn to create impactful charts and graphs. This dual approach allows data analysts to present their findings clearly and strategically, aiding in data storytelling and enhancing the interpretability of complex datasets.

Can this book be beneficial for machine learning practitioners?

Yes, 'Learning Pandas - Second Edition' is quite beneficial for machine learning practitioners. The book emphasizes data preparation, which is a critical step in any machine learning project. By knowing how to manipulate and analyze data with Pandas, machine learning enthusiasts can ensure their datasets are clean and efficient, leading to improved model performance and better predictive results.

What is the structure of the book?

The book is structured into well-defined chapters that progressively build upon each other, starting with an introduction to Pandas and its core features. Each chapter contains practical examples, exercises, and tips to solidify understanding. This organized approach allows readers to develop their skills incrementally and apply learned concepts to real-world data tasks, making it more engaging and easy to follow.

Does the book include practical examples for hands-on learning?

Absolutely! 'Learning Pandas - Second Edition' is rich in practical examples that illustrate data manipulation tasks. Each chapter offers hands-on exercises designed to reinforce concepts learned, providing readers with the opportunity to practice in real-world scenarios. This pragmatic approach enhances retention and allows users to customize the skills learned to their specific data challenges.

What prerequisites are needed before starting this book?

It is recommended that readers have a basic understanding of Python programming before diving into 'Learning Pandas - Second Edition.' Familiarity with Python's syntax and core concepts will facilitate a smoother transition into data manipulation topics presented in the book. However, the book is also suitable for those who have basic programming skills and are willing to learn alongside examples and explanations.

Where can I buy Learning Pandas - Second Edition in Bosnia and Herzegovina?

You can purchase 'Learning Pandas - Second Edition' from Ubuy, which offers a convenient platform for obtaining this essential resource for data manipulation and analysis using Python. Ubuy is known for its extensive selection of books, ensuring you have ready access to this valuable guide for improving your skills with Pandas.

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Learning pandas - Second Edition: High performance data manipulation and analysis using Python

Learn how pandas can be used to support the end-to-end process of data analysis

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Learning pandas - Second Edition: High performance data manipulation and analysis using Python

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What Stands Out

Comprehensive Guide

This edition covers advanced techniques for efficient data manipulation, making it an essential resource for data scientists and analysts looking to enhance their skills in using Pandas for complex data projects.

Hands-On Examples

Filled with practical examples and use cases, the book encourages readers to apply what they learn immediately, catering to a diverse audience from beginners to advanced Python users.

Performance Focus

Special emphasis on high-performance data handling ensures that readers learn to optimize their workflows, directly addressing common efficiency issues faced in data analysis tasks.

Detalji o proizvodu

Key FeaturesGet comfortable using pandas and Python as an effective data exploration and analysis toolExplore pandas through a framework of data analysis, with an explanation of how pandas is well suited for the various stages in a data analysis processA comprehensive guide to pandas with many of clear and practical examples to help you get up and using pandasBook DescriptionYou will learn how to use pandas to perform data analysis in Python. You will start with an overview of data analysis and iteratively progress from modeling data, to accessing data from remote sources, performing numeric and statistical analysis, through indexing and performing aggregate analysis, and finally to visualizing statistical data and applying pandas to finance.With the knowledge you gain from this book, you will quickly learn pandas and how it can empower you in the exciting world of data manipulation, analysis and science.What you will learnUnderstand how data analysts and scientists think about of the processes of gathering and understanding dataLearn how pandas can be used to support the end-to-end process of data analysisUse pandas Series and DataFrame objects to represent single and multivariate dataSlicing and dicing data with pandas, as well as combining, grouping, and aggregating data from multiple sourcesHow to access data from external sources such as files, databases, and web servicesRepresent and manipulate time-series data and the many of the intricacies involved with this type of dataHow to visualize statistical informationHow to use pandas to solve several common data representation and analysis problems within financeAbout the AuthorMichael Heydt is a technologist, entrepreneur, and educator with decades of professional software development and financial and commodities trading experience. He has worked extensively on Wall Street specializing in the development of distributed, actor-based, highperformance, and high-availability trading systems. He is currently founder of Micro Trading Services, a company that focuses on creating cloud and micro service-based software solutions for finance and commodities trading. He holds a master's in science in mathematics and computer science from Drexel University, and an executive master's of technology management from the University of Pennsylvania School of Applied Science and the Wharton School of Business.Table of Contentspandas and Data Science and AnalysisUp and running with pandasRepresenting univariate data with the SeriesRepresenting tabular and multivariate data with the DataFrameManipulation and indexing of DataFrame objectsIndexing DataCategorical DataNumeric and Statistical MethodsGrouping and Aggregating DataTidying Up Your DataCombining, Relating and Reshaping DataData AggregationTime-Series ModellingVisualizationApplications to Finance

Publisher	Packt Publishing
Publication date	June 30, 2017
Edition	2nd Revised edition
Language	English
Print length	446 pages
ISBN-10	1787123138
ISBN-13	978-1787123137
Item Weight	1.68 pounds (760 grams)
Dimensions	7.5 x 1.01 x 9.25 inches (19.1 x 2.6 x 23.5 cm)

Who Should Buy?

Data Analysts
Ideal for data analysts looking to improve their data manipulation skills using Python's powerful Pandas library.
Beginner Programmers
Useful for beginner programmers who want to learn about data handling and analysis in Python through practical examples.
Data Scientists
Great for data scientists seeking to deepen their understanding of data manipulation techniques with Pandas for analysis.

Advanced Users
Not suited for advanced users seeking in-depth theoretical knowledge or specialized use cases beyond basic Pandas functionalities.

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pitanje: Je li Learning pandas - Second Edition: High performance dostupan za online kupnju u Bosnia and Herzegovina?

odgovor: Da, na Ubuyu Bosnia and Herzegovina ovaj proizvod vam je dostupan za kupnju po razumnoj cijeni.. Learning pandas - Second Edition: High performance nije dostupan lokalno, ali možete nam povjeriti naše usluge ekspresne dostave.
pitanje: Koliko dugo je potrebno da dobijete proizvod nakon narudžbe?

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Značajke i prednosti

Pandas can empower you in the world of data manipulation, analysis and science.
Learn how to represent and manipulate time-series data.
Combine, group and aggregate data from multiple sources with pandas.
Access data from external sources such as files, databases, and web services.
Visualize statistical information using pandas.
Learn how to solve common data problems using pandas.

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Learning pandas - Second Edition: High performance data manipulation and analysis using Python