Packt Publishing, 2024. — 405 p. Key Features: This book targets features in pandas 2.x and beyond 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: Unlock the full power of pandas 2.x with this hands-on cookbook, designed for Python...
3rd ed. — Birmingham: Packt Publishing, 2024. — 401 p. — ISBN 1836205872. From fundamental techniques to advanced strategies for handling big data, visualization, and more, this book equips you with skills to excel in real-world data analysis projects. Key Features This book targets features in pandas 2.x and beyond. Practical, easy to implement recipes for quick solutions to...
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...
Manning Publications, 2024. — 442 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,...
СПб.: Питер, 2023. — 511 с.: ил. — (Библиотека программиста). — ISBN: 978-5-4461-1941-7. Язык Python помогает упростить анализ данных. Если вы научились пользоваться электронными таблицами, то сможете освоить и pandas! Несмотря на сходство с табличной компоновкой Excel, pandas обладает большей гибкостью и более широкими возможностями. Эта библиотека для Python быстро выполняет...
Manning, 2023. — 275 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. 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...
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...
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,...
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...
3rd Edition. — John Wiley & Sons, Inc., 2018. — 752 p. — eBook ISBN 978-1-119-49853-7. Python for Everyone , 3rd Edition is an introduction to programming designed to serve a wide range of student interests and abilities, focused on the essentials, and on effective learning. It is suitable for a first course in programming for computer scientists, engineers, and students in...
Mercury Learning and Information, 2022. — 258 p. — ISBN 978-1-68392-904-8. This book is intended primarily for those who plan to become data scientists as well as anyone who needs to perform data cleaning tasks. It contains a variety of features of NumPy and Pandas and how to create databases and tables in MySQL. Chapter 7 covers many data wrangling tasks using Python scripts...
BPB Publications, 2022. — 428 p. — ISBN 978-93-5551-213-0. Make data analysis fast, reliable, and clean with Python, Pandas and Matplotlib. Key Features ● A detailed walk-through of the Pandas library's features with multiple examples. ● Numerous graphical representations and reporting capabilities using popular Matplotlib. ● A high-level overview of extracting data from...
Birmingham: Packt Publishing, 2022. - 743 p. - ISBN 1800208936. Learn the fundamentals of data science with Python by analyzing real datasets and solving problems using pandas Key Features Learn how to apply data retrieval, transformation, visualization, and modeling techniques using pandas. Become highly efficient in unlocking deeper insights from your data, including...
Manning Publications, 2022. — 187 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,...
AI Publishing, 2021 — 548 p. — ISBN: B09QP39Z2Y. Python Libraries Textbook for Beginners with Codes Folder Python is doubtless the most versatile programming language. But are you serious enough about becoming proficient in Python? If yes, then you need to become a master in the two essential Python libraries—NumPy and Pandas. You simply can’t overlook this truth. In data...
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...
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,...
Independently published, 2021. — 3325 p. Pandas is a Python package providing fast, flexible, and expressive data structures designed to make working with relational or labeled data both easy and intuitive. It aims to be the fundamental high-level building block for doing practical, real world data analysis in Python. Additionally, it has the broader goal of becoming the most...
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....
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...
CreateSpace Independent Publishing Platform, 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...
Independently published, 2019. — 698 p. Pandas is a Python package providing fast, flexible, and expressive data structures designed to make working with relational or labeled data both easy and intuitive. It aims to be the fundamental high-level building block for doing practical, real world data analysis in Python. Additionally, it has the broader goal of becoming the most...
LingoMastery, 2020. — 97 p. 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 capabilities for the task of...
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...
Devpractice.ru. 2020. — 171 с.: ил. 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 —...
Independently published, 2020. — 138 p. — ASIN B08GWVRL9G. The goal of this hands-on book is to teach you , the reader, the ins and outs of data manipulation and analytics using Pandas . It introduces comprehensive and in-depth data analytics techniques with Pandas, and helps you quickly master data manipulation and analytical skills, whether you are new to Python or an...
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...
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...
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...
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...
2nd Edition. — Packt Publishing, 2020. — 626 p. — ISBN: 978-1-83921-310-6. Code files only! Use the power of pandas to solve most complex scientific computing problems with ease. Revised for pandas 1.x. 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...
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...
2nd ed. — Packt, 2019. — 674 p. — ISBN: 9781838821135. 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...
Самиздат, 2019. — 734 с. Полная авторская версия от 14.05.2019. Pandas – популярная библиотека Python, применяющаяся для практического анализа данных в реальных проектах. Она предлагает воспользоваться эффективными, быстрыми и высокопроизводительными структурами данных, которые упрощают предварительную обработку и анализ информации. Это учебное пособие существенно поможет вам,...
М.: ДМК Пресс. Предисловие. О содержании книги. Что необходимо для чтения этой книги. На кого рассчитана эта книга. Соглашения. Отзывы. Поддержка клиентов. Загрузка программного кода примеров. Опечатки. Нарушение авторских прав. Вопросы. Библиотека pandas и анализ данных . Знакомство с библиотекой pandas. Обработка данных, анализ, наука и библиотека pandas. Обработка данных....
Packt Publishing, 2018. — 140 p. — ISBN: 1789619637. !Code files only 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...
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...
Packt Publishing, 2017. — 538 p. — ISBN: 978-1-78439-387-8. Recipes for Scientific Computing, Time Series Analysis and Data Visualization using Python. Use the power of pandas to solve most complex scientific computing problems with ease Leverage fast, robust data structures in pandas to gain useful insights from your data Practical, easy to implement recipes for quick...
2nd Ed. — Packt Publishing, 2017. — 808 p. — ISBN10: 1787123138, ISBN13: 978-1787123137. You will start with understanding how to represent single and multivariate data, and perform important tasks on your datasets to discover insights previously hidden from view. You will learn how to populate and manipulate and analyze the data in various ways. In the end, you will see how to...
Addison-Wesley Professional, 2017. — 400 p. — ISBN: 978-0134546933. ! Rough cuts! 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...
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...
Комментарии