Pandas

Addison-Wesley Professional, 2017. — 400 p. — ISBN: 978-0134546933. This tutorial teaches everything you need to get started with Python programming for the fast-growing field of data analysis. Daniel Chen tightly links each new concept with easy-to-apply, relevant examples from modern data analysis. Unlike other beginner's books, this guide helps today's newcomers learn both...

Packt Publishing, 2017. — 390 p. — ISBN: 978-1784393878. Key Features Learn to use the power of Pandas to solve most complex scientific computing problems Leverage fast, robust data structures in Pandas to gain most from your data Perform various data analysis tasks efficiently with ease Book Description Pandas is one of the most efficient scientific computing packages in...

Packt Publishing, 2017. — 446 p. Get to grips with pandas—a versatile and high-performance Python library for data manipulation, analysis, and discovery You 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...

2nd Edition. — Addison-Wesley Professional/Pearson Education, 2023. — 512 p. — ISBN-13: 978-0-13-789115-3. Manage and Automate Data Analysis with Pandas in Python. Today, analysts must manage data characterized by extraordinary variety, velocity, and volume. Using the open source Pandas library, you can use Python to rapidly automate and perform virtually any data analysis...

Packt Publishing, 2015. — 298 p. — ISBN: 978-1-78398-510-4. This book will teach you to use Python and the Python Data Analysis Library (pandas) to solve real-world financial problems. Starting with a focus on pandas data structures, you will learn to load and manipulate time-series financial data and then calculate common financial measures, leading into more advanced...

Packt Publishing, 2015. — 364 p. — ISBN: 978-1-78398-196-0. Python is a ground breaking language for its simplicity and succinctness, allowing the user to achieve a great deal with a few lines of code, especially compared to other programming languages. The pandas brings these features of Python into the data analysis realm, by providing expressiveness, simplicity, and powerful...

Packt Publishing, 2018. — 140 p. — ISBN: 1789619637. Explore Python frameworks like pandas, Jupyter notebooks, and Matplotlib to build data pipelines and data visualization Key Features Learn to set up data analysis pipelines with pandas and Jupyter notebooks Effective techniques for data selection, manipulation, and visualization Introduction to Matplotlib for interactive data...

CreateSpace Independent Publishing, 2016. — 212 p. — ISBN: 9781533598240. Python is one of the top 3 tools that Data Scientists use. One of the tools in their arsenal is the Pandas library. This tool is popular because it gives you so much functionality out of the box. In addition, you can use all the power of Python to make the hard stuff easy! Learning the Pandas Library is...

Orange Education Pvt Ltd., 2024. — 361 р. — ISBN: 978-81-97256-24-0. Unlock the power of Data Manipulation with Pandas. Book Description Unlock the power of Pandas, the essential Python library for data analysis and manipulation. This comprehensive guide takes you from the basics to advanced techniques, ensuring you master every aspect of pandas. You'll start with an...

Manning Publications, 2021. — 440 p. — ISBN 9781617297434. Take the next steps in your data science career! This friendly and hands-on guide shows you how to start mastering Pandas with skills you already know from spreadsheet software. In Pandas in Action you will learn how to: Import datasets, identify issues with their data structures, and optimize them for efficiency Sort,...

Amazon.com Services LLC, 2020. — 263 p. Pandas has became an important and a must tool for data analysis. This book covers various scenarios that occurs in real life data and thus helps reader to relate the issues directly and apply the solution. The book has been developed in such a way that everyone can easily understand and run through the concepts. This book has been...

Manning Publications, 2024. — 275 p. — ISBN 978-1617299728. Practice makes perfect Pandas. Work out your Pandas skills against dozens of real-world challenges, each carefully designed to build an intuitive knowledge of essential Pandas tasks. In Pandas Workout you’ll learn how to: Clean your data for accurate analysis Work with rows and columns for retrieving and assigning data...

Apress, 2020. — 190 p. — ISBN13: 978-1-4842-5838-5. Understand and implement big data analysis solutions in pandas with an emphasis on performance. This book strengthens your intuition for working with pandas, the Python data analysis library, by exploring its underlying implementation and data structures. Thinking in Pandas introduces the topic of big data and demonstrates...

Pragmatic Bookshelf, 2021. — 112 р. This book contains 25 short programs that will challenge your understanding of Pandas. Like any big project, the Pandas developers had to make some design decisions that at times seem surprising. This book uses those quirks as a teaching opportunity. By understanding the gaps in your knowledge, you'll become better at what you do. Some of the...

Mercury Learning and Information, 2023. — 275 р. — ISBN: 978-1-68392-904-8. This book contains a fast-paced introduction to as much relevant information about managing data that can be reasonably included in a book of this size. However, you will be exposed to a variety of features of NumPy and Pandas, how to create databases and tables in MySQL, and how to perform many data...

Packt Publishing, 2019. — 740 p. — ISBN: 978-1789615326 (paperback). Data analysis has become a necessary skill in a variety of positions where knowing how to work with data and extract insights can generate significant value. Hands-On Data Analysis with Pandas will show you how to analyze your data, get started with machine learning, and work effectively with Python libraries...

GitforGits, 2023. — 233 p. Mastering Data Wrangling and Analysis for Modern Data Science. "Learning Pandas 2.0" is an essential guide for anyone looking to harness the power of Python's premier data manipulation library. With this comprehensive resource, you will not only master core Pandas 2.0 concepts but also learn how to employ its advanced features to perform efficient...

2-е изд. — Devpractice Team, 2020. — 170 с. Книга посвящена библиотеке для работы с данным pandas. Помимо базовых знаний о структурах pandas, вы получите информацию о том как работать с временными рядами, считать статистики, визуализировать данные и т.д. Большое внимание уделено практике, все рассматриваемые возможности библиотеки сопровождаются подробными примерами. Pandas —...

2nd edition. — Packt Publishing, 2021. — 788 p. — ISBN 9781800563452. Get to grips with pandas - a versatile and high-performance library for manipulating, processing, cleaning, and crunching datasets in Python Key Features Perform efficient data analysis and manipulation tasks using pandas 1.x Implement pandas in different real-world domains with the help of step-by-step...

Independently published, 2024. — 490 p. — ASIN B0DMVYT1T4. Welcome to Mastering Pandas: A Comprehensive Guide to Data Analysis in Python, a journey into the heart of modern data science. This book is not just a guide; it’s your gateway to the world of data exploration, where powerful insights lie hidden within raw numbers and text. Here, Pandas transforms data analysis from a...

Mercury Learning and Information, 2022. — 215 p. — ISBN 978-1-68392-826-3. This book is intended for those who plan to become data scientists as well as anyonewho needs to perform data cleaning tasks using Pandas and NumPy. It contains a variety of code samples and features of NumPy and Pandas, and how to write regular expressions. Chapter 3 includes fundamental statistical...

Packt, 2020. — 626 p. — ISBN: 9781839213106. 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...

Packt, 2019. - 674p. - ISBN: 9781838821135 2nd.ed. Perform advanced data manipulation tasks using pandas and become an expert data analyst. Key Features Manipulate and analyze your data expertly using the power of pandas Work with missing data and time series data and become a true pandas expert Includes expert tips and techniques on making your data analysis tasks easier Book...

Independently published, 2019. — 236 p. — ASIN B07Z5DRQCG. Pandas is an open-source Python Library providing high-performance data manipulation and analysis tool using its powerful data structures. The name Pandas is derived from the word Panel Data an Econometrics from Multidimensional data. In 2008, developer Wes McKinney started developing pandas when in need of high...

Independently published, 2020. — 105 p. 25 Pandas brain teasers that will tickle your mind and make you a better Pandas developer. At the beginning of each chapter I'll show you a short Python program with Pandas code in it and will ask you to guess the output. The possible answers can be: Syntax error Exception Some output (e.g. `[1 2 3]`) Before moving on to the answer and...

Independently published, 2021. — 126 p. — ASIN : B094JYYNCN. Pandas Programming in 8 Hours & Exercises covers all essential Pandas knowledge. You can learn complete primary skills of Pandas fast and easily. The book includes many practical examples for beginners and includes exercises for the college exam, the engineer certification exam, and the job interview exam....

Manning Publications, 2022. — 418 p. Practice makes perfect pandas. Work out your pandas skills against dozens of real-world challenges, each carefully designed to build an intuitive knowledge of essential pandas tasks. In Pandas Workout you’ll learn how to: Clean your data for accurate analysis Work with rows and columns for retrieving and assigning data Handle indexes,...