Pandas In 7 Days

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Pandas in 7 Days

Author : Fabio Nelli
Publisher : BPB Publications
ISBN 13 : 9355512139
Total Pages : 433 pages
Book Rating : 4.3/5 (555 download)

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Book Synopsis Pandas in 7 Days by : Fabio Nelli

Download or read book Pandas in 7 Days written by Fabio Nelli and published by BPB Publications. This book was released on 2022-04-25 with total page 433 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 including files, databases, and the web. DESCRIPTION No matter how large or small your dataset is, the author 'Fabio Nelli' simply used this book to teach all the finest technical coaching on applying Pandas to conduct data analysis with zero worries. Both newcomers and seasoned professionals will benefit from this book. It teaches you how to use the pandas library in just one week. Every day of the week, you'll learn and practise the features and data analysis exercises listed below: Day 01: Get familiar with the fundamental data structures of pandas, including Declaration, data upload, indexing, and so on. Day 02: Execute commands and operations related to data selection and extraction, including slicing, sorting, masking, iteration, and query execution. Day 03: Advanced commands and operations such as grouping, multi-indexing, reshaping, cross-tabulations, and aggregations. Day 04: Working with several data frames, including comparison, joins, concatenation, and merges. Day 05: Cleaning, pre-processing, and numerous strategies for data extraction from external files, the web, databases, and other data sources. Day 06: Working with missing data, interpolation, duplicate labels, boolean data types, text data, and time-series datasets. Day 07: Introduction to Jupyter Notebooks, interactive data analysis, and analytical reporting with Matplotlib's stunning graphics. WHAT YOU WILL LEARN ●Extract, cleanse, and process data from databases, text files, HTML pages, and JSON data. ●Work with DataFrames and Series, and apply functions to scale data manipulations. ●Graph your findings using charts typically used in modern business analytics. ●Learn to use all of the pandas basic and advanced features independently. ● Storing and manipulating labeled/columnar data efficiently. WHO THIS BOOK IS FOR If you're looking to expedite a data science or sophisticated data analysis project, you've come to the perfect place. Each data analysis topic is covered step-by-step with real-world examples. Python knowledge isn't required however, knowing a little bit helps. TABLE OF CONTENTS 1. Pandas, the Python library 2. Setting up a Data Analysis Environment 3. Day 1 - Data Structures in Pandas library 4. Day 2 - Working within a DataFrame, Basic Functionalities 5. Day 3 - Working within a DataFrame, Advanced Functionalities 6. Day 4 - Working with two or more DataFrames 7. Day 5 - Working with data sources and real-word datasets 8. Day 6 - Troubleshooting Challenges wit Real Datasets 9. Day 7 - Data Visualization and Reporting 10. Conclusion – Moving Beyond

Pandas for Everyone

Author : Daniel Y. Chen
Publisher : Addison-Wesley Professional
ISBN 13 : 0134547055
Total Pages : 1093 pages
Book Rating : 4.1/5 (345 download)

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Book Synopsis Pandas for Everyone by : Daniel Y. Chen

Download or read book Pandas for Everyone written by Daniel Y. Chen and published by Addison-Wesley Professional. This book was released on 2017-12-15 with total page 1093 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Hands-On, Example-Rich Introduction to Pandas Data Analysis 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 task, no matter how large or complex. Pandas can help you ensure the veracity of your data, visualize it for effective decision-making, and reliably reproduce analyses across multiple datasets. Pandas for Everyone brings together practical knowledge and insight for solving real problems with Pandas, even if you’re new to Python data analysis. Daniel Y. Chen introduces key concepts through simple but practical examples, incrementally building on them to solve more difficult, real-world problems. Chen gives you a jumpstart on using Pandas with a realistic dataset and covers combining datasets, handling missing data, and structuring datasets for easier analysis and visualization. He demonstrates powerful data cleaning techniques, from basic string manipulation to applying functions simultaneously across dataframes. Once your data is ready, Chen guides you through fitting models for prediction, clustering, inference, and exploration. He provides tips on performance and scalability, and introduces you to the wider Python data analysis ecosystem. Work with DataFrames and Series, and import or export data Create plots with matplotlib, seaborn, and pandas Combine datasets and handle missing data Reshape, tidy, and clean datasets so they’re easier to work with Convert data types and manipulate text strings Apply functions to scale data manipulations Aggregate, transform, and filter large datasets with groupby Leverage Pandas’ advanced date and time capabilities Fit linear models using statsmodels and scikit-learn libraries Use generalized linear modeling to fit models with different response variables Compare multiple models to select the “best” Regularize to overcome overfitting and improve performance Use clustering in unsupervised machine learning

Learning the Pandas Library

Author : Matt Harrison
Publisher : Createspace Independent Publishing Platform
ISBN 13 : 9781533598240
Total Pages : 0 pages
Book Rating : 4.5/5 (982 download)

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Book Synopsis Learning the Pandas Library by : Matt Harrison

Download or read book Learning the Pandas Library written by Matt Harrison and published by Createspace Independent Publishing Platform. This book was released on 2016-06 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 designed to bring developers and aspiring data scientists who are anxious to learn Pandas up to speed quickly. It starts with the fundamentals of the data structures. Then, it covers the essential functionality. It includes many examples, graphics, code samples, and plots from real world examples. The Content Covers: Installation Data Structures Series CRUD Series Indexing Series Methods Series Plotting Series Examples DataFrame Methods DataFrame Statistics Grouping, Pivoting, and Reshaping Dealing with Missing Data Joining DataFrames DataFrame Examples Preliminary Reviews This is an excellent introduction benefitting from clear writing and simple examples. The pandas documentation itself is large and sometimes assumes too much knowledge, in my opinion. Learning the Pandas Library bridges this gap for new users and even for those with some pandas experience such as me. -Garry C. I have finished reading Learning the Pandas Library and I liked it... very useful and helpful tips even for people who use pandas regularly. -Tom Z.

Treading on Python Volume 1

Author : Matt Harrison
Publisher : Matt Harrison
ISBN 13 : 1475266413
Total Pages : 170 pages
Book Rating : 4.4/5 (752 download)

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Book Synopsis Treading on Python Volume 1 by : Matt Harrison

Download or read book Treading on Python Volume 1 written by Matt Harrison and published by Matt Harrison. This book was released on 2012-05-23 with total page 170 pages. Available in PDF, EPUB and Kindle. Book excerpt: Treading on Python is designed to bring developers and others who are anxious to learn Python up to speed quickly. Not only does it teach the basics of syntax, but it condenses years of experience. You will learn warts, gotchas, best practices and hints that have been gleaned through the years in days. You will hit the ground running and running in the right way.

Hands-On Data Analysis with Pandas

Author : Stefanie Molin
Publisher : Packt Publishing Ltd
ISBN 13 : 1789612802
Total Pages : 702 pages
Book Rating : 4.7/5 (896 download)

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Book Synopsis Hands-On Data Analysis with Pandas by : Stefanie Molin

Download or read book Hands-On Data Analysis with Pandas written by Stefanie Molin and published by Packt Publishing Ltd. This book was released on 2019-07-26 with total page 702 pages. Available in PDF, EPUB and Kindle. Book excerpt: Get to grips with pandas—a versatile and high-performance Python library for data manipulation, analysis, and discovery Key FeaturesPerform efficient data analysis and manipulation tasks using pandasApply pandas to different real-world domains using step-by-step demonstrationsGet accustomed to using pandas as an effective data exploration toolBook Description 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 often used for data science, such as pandas, NumPy, matplotlib, seaborn, and scikit-learn. Using real-world datasets, you will learn how to use the powerful pandas library to perform data wrangling to reshape, clean, and aggregate your data. Then, you will learn how to conduct exploratory data analysis by calculating summary statistics and visualizing the data to find patterns. In the concluding chapters, you will explore some applications of anomaly detection, regression, clustering, and classification, using scikit-learn, to make predictions based on past data. By the end of this book, you will be equipped with the skills you need to use pandas to ensure the veracity of your data, visualize it for effective decision-making, and reliably reproduce analyses across multiple datasets. What you will learnUnderstand how data analysts and scientists gather and analyze dataPerform data analysis and data wrangling in PythonCombine, group, and aggregate data from multiple sourcesCreate data visualizations with pandas, matplotlib, and seabornApply machine learning (ML) algorithms to identify patterns and make predictionsUse Python data science libraries to analyze real-world datasetsUse pandas to solve common data representation and analysis problemsBuild Python scripts, modules, and packages for reusable analysis codeWho this book is for This book is for data analysts, data science beginners, and Python developers who want to explore each stage of data analysis and scientific computing using a wide range of datasets. You will also find this book useful if you are a data scientist who is looking to implement pandas in machine learning. Working knowledge of Python programming language will be beneficial.

Pandas Workout

Author : Reuven Lerner
Publisher : Simon and Schuster
ISBN 13 : 1638355274
Total Pages : 438 pages
Book Rating : 4.6/5 (383 download)

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Book Synopsis Pandas Workout by : Reuven Lerner

Download or read book Pandas Workout written by Reuven Lerner and published by Simon and Schuster. This book was released on 2024-06-25 with total page 438 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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, including hierarchical indexes Read and write data with a number of common formats, such as CSV and JSON Process and manipulate textual data from within pandas Work with dates and times in pandas Perform aggregate calculations on selected subsets of data Produce attractive and useful visualizations that make your data come alive Pandas Workout hones your pandas skills to a professional-level through two hundred exercises, each designed to strengthen your pandas skills. You’ll test your abilities against common pandas challenges such as importing and exporting, data cleaning, visualization, and performance optimization. Each exercise utilizes a real-world scenario based on real-world data, from tracking the parking tickets in New York City, to working out which country makes the best wines. You’ll soon find your pandas skills becoming second nature—no more trips to StackOverflow for what is now a natural part of your skillset. About the technology Python’s pandas library can massively reduce the time you spend analyzing, cleaning, exploring, and manipulating data. And the only path to pandas mastery is practice, practice, and, you guessed it, more practice. In this book, Python guru Reuven Lerner is your personal trainer and guide through over 200 exercises guaranteed to boost your pandas skills. About the book Pandas Workout is a thoughtful collection of practice problems, challenges, and mini-projects designed to build your data analysis skills using Python and pandas. The workouts use realistic data from many sources: the New York taxi fleet, Olympic athletes, SAT scores, oil prices, and more. Each can be completed in ten minutes or less. You’ll explore pandas’ rich functionality for string and date/time handling, complex indexing, and visualization, along with practical tips for every stage of a data analysis project. What's inside Clean data with less manual labor Retrieving and assigning data Process and manipulate text Calculations on selected data subsets About the reader For Python programmers and data analysts. About the author Reuven M. Lerner teaches Python and data science around the world and publishes the “Bamboo Weekly” newsletter. He is the author of Manning’s Python Workout (2020). Table of Contents 1 Series 2 Data frames 3 Importing and exporting data 4 Indexes 5 Cleaning data 6 Grouping, joining, and sorting 7 Advanced grouping, joining, and sorting 8 Midway project 9 Strings 10 Dates and times 11 Visualization 12 Performance 13 Final project

Hands-On Data Analysis with Pandas

Author : Stefanie Molin
Publisher : Packt Publishing Ltd
ISBN 13 : 1800565917
Total Pages : 788 pages
Book Rating : 4.8/5 (5 download)

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Book Synopsis Hands-On Data Analysis with Pandas by : Stefanie Molin

Download or read book Hands-On Data Analysis with Pandas written by Stefanie Molin and published by Packt Publishing Ltd. This book was released on 2021-04-29 with total page 788 pages. Available in PDF, EPUB and Kindle. Book excerpt: Get to grips with pandas by working with real datasets and master data discovery, data manipulation, data preparation, and handling data for analytical tasks Key Features Perform efficient data analysis and manipulation tasks using pandas 1.x Apply pandas to different real-world domains with the help of step-by-step examples Make the most of pandas as an effective data exploration tool Book DescriptionExtracting valuable business insights is no longer a ‘nice-to-have’, but an essential skill for anyone who handles data in their enterprise. Hands-On Data Analysis with Pandas is here to help beginners and those who are migrating their skills into data science get up to speed in no time. This book will show you how to analyze your data, get started with machine learning, and work effectively with the Python libraries often used for data science, such as pandas, NumPy, matplotlib, seaborn, and scikit-learn. Using real-world datasets, you will learn how to use the pandas library to perform data wrangling to reshape, clean, and aggregate your data. Then, you will learn how to conduct exploratory data analysis by calculating summary statistics and visualizing the data to find patterns. In the concluding chapters, you will explore some applications of anomaly detection, regression, clustering, and classification using scikit-learn to make predictions based on past data. This updated edition will equip you with the skills you need to use pandas 1.x to efficiently perform various data manipulation tasks, reliably reproduce analyses, and visualize your data for effective decision making – valuable knowledge that can be applied across multiple domains.What you will learn Understand how data analysts and scientists gather and analyze data Perform data analysis and data wrangling using Python Combine, group, and aggregate data from multiple sources Create data visualizations with pandas, matplotlib, and seaborn Apply machine learning algorithms to identify patterns and make predictions Use Python data science libraries to analyze real-world datasets Solve common data representation and analysis problems using pandas Build Python scripts, modules, and packages for reusable analysis code Who this book is for This book is for data science beginners, data analysts, and Python developers who want to explore each stage of data analysis and scientific computing using a wide range of datasets. Data scientists looking to implement pandas in their machine learning workflow will also find plenty of valuable know-how as they progress. You’ll find it easier to follow along with this book if you have a working knowledge of the Python programming language, but a Python crash-course tutorial is provided in the code bundle for anyone who needs a refresher.

Where Have All the Pandas Gone

Author : Melvin Berger
Publisher : Turtleback
ISBN 13 : 9780606249607
Total Pages : 48 pages
Book Rating : 4.2/5 (496 download)

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Book Synopsis Where Have All the Pandas Gone by : Melvin Berger

Download or read book Where Have All the Pandas Gone written by Melvin Berger and published by Turtleback. This book was released on 2002-08-01 with total page 48 pages. Available in PDF, EPUB and Kindle. Book excerpt: In an easy-to-follow conversational style, this book explores basic questions about this endearing, and endangered, species. Illustrations.

Pandas in Action

Author : Boris Paskhaver
Publisher : Simon and Schuster
ISBN 13 : 163835104X
Total Pages : 438 pages
Book Rating : 4.6/5 (383 download)

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Book Synopsis Pandas in Action by : Boris Paskhaver

Download or read book Pandas in Action written by Boris Paskhaver and published by Simon and Schuster. This book was released on 2021-10-12 with total page 438 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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, filter, pivot, and draw conclusions from a dataset and its subsets Identify trends from text-based and time-based data Organize, group, merge, and join separate datasets Use a GroupBy object to store multiple DataFrames Pandas has rapidly become one of Python's most popular data analysis libraries. In Pandas in Action, a friendly and example-rich introduction, author Boris Paskhaver shows you how to master this versatile tool and take the next steps in your data science career. You’ll learn how easy Pandas makes it to efficiently sort, analyze, filter and munge almost any type of data. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Data analysis with Python doesn’t have to be hard. If you can use a spreadsheet, you can learn pandas! While its grid-style layouts may remind you of Excel, pandas is far more flexible and powerful. This Python library quickly performs operations on millions of rows, and it interfaces easily with other tools in the Python data ecosystem. It’s a perfect way to up your data game. About the book Pandas in Action introduces Python-based data analysis using the amazing pandas library. You’ll learn to automate repetitive operations and gain deeper insights into your data that would be impractical—or impossible—in Excel. Each chapter is a self-contained tutorial. Realistic downloadable datasets help you learn from the kind of messy data you’ll find in the real world. What's inside Organize, group, merge, split, and join datasets Find trends in text-based and time-based data Sort, filter, pivot, optimize, and draw conclusions Apply aggregate operations About the reader For readers experienced with spreadsheets and basic Python programming. About the author Boris Paskhaver is a software engineer, Agile consultant, and online educator. His programming courses have been taken by 300,000 students across 190 countries. Table of Contents PART 1 CORE PANDAS 1 Introducing pandas 2 The Series object 3 Series methods 4 The DataFrame object 5 Filtering a DataFrame PART 2 APPLIED PANDAS 6 Working with text data 7 MultiIndex DataFrames 8 Reshaping and pivoting 9 The GroupBy object 10 Merging, joining, and concatenating 11 Working with dates and times 12 Imports and exports 13 Configuring pandas 14 Visualization

Python Data Science Handbook

Author : Jake VanderPlas
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1491912138
Total Pages : 743 pages
Book Rating : 4.4/5 (919 download)

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Book Synopsis Python Data Science Handbook by : Jake VanderPlas

Download or read book Python Data Science Handbook written by Jake VanderPlas and published by "O'Reilly Media, Inc.". This book was released on 2016-11-21 with total page 743 pages. Available in PDF, EPUB and Kindle. Book excerpt: For many researchers, Python is a first-class tool mainly because of its libraries for storing, manipulating, and gaining insight from data. Several resources exist for individual pieces of this data science stack, but only with the Python Data Science Handbook do you get them all—IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and other related tools. Working scientists and data crunchers familiar with reading and writing Python code will find this comprehensive desk reference ideal for tackling day-to-day issues: manipulating, transforming, and cleaning data; visualizing different types of data; and using data to build statistical or machine learning models. Quite simply, this is the must-have reference for scientific computing in Python. With this handbook, you’ll learn how to use: IPython and Jupyter: provide computational environments for data scientists using Python NumPy: includes the ndarray for efficient storage and manipulation of dense data arrays in Python Pandas: features the DataFrame for efficient storage and manipulation of labeled/columnar data in Python Matplotlib: includes capabilities for a flexible range of data visualizations in Python Scikit-Learn: for efficient and clean Python implementations of the most important and established machine learning algorithms

Python Programming for Beginners

Author : Mike Kernell
Publisher : ANMA LAB LIMITED
ISBN 13 :
Total Pages : 94 pages
Book Rating : 4./5 ( download)

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Book Synopsis Python Programming for Beginners by : Mike Kernell

Download or read book Python Programming for Beginners written by Mike Kernell and published by ANMA LAB LIMITED. This book was released on 2023-06-28 with total page 94 pages. Available in PDF, EPUB and Kindle. Book excerpt: Unlock the full potential of Python programming with our comprehensive guidebook! Are you a beginner programmer looking to master Python? Or an experienced developer seeking to expand your skills? Our book caters to all levels of expertise, providing you with a step-by-step guide to learning and applying Python programming in a variety of contexts. With easy-to-understand explanations and real-life examples, our book covers the fundamentals of Python, including: · Data Types. · Control Structures. · Object-Oriented Programming, …and much more. You'll also delve into advanced topics such as web scraping, GUI programming, and game development, empowering you to take your Python skills to the next level. Designed for the busy learner, our book is structured with short, digestible chapters that allow you to learn at your own pace. Plus, our user-friendly language and engaging writing style make it a pleasure to read and easy to comprehend. As a beginner or experienced developer, you know the importance of staying up to date with the latest programming languages and techniques. With our book, you'll have everything you need to start using Python for real-world applications, giving you a competitive edge in today's tech-driven market. Don't miss out on the opportunity to become a Python expert. Order our book today and start your journey toward Python mastery!

Pandas Hands-on

Author : Jacky Bai
Publisher :
ISBN 13 :
Total Pages : 140 pages
Book Rating : 4.6/5 (8 download)

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Book Synopsis Pandas Hands-on by : Jacky Bai

Download or read book Pandas Hands-on written by Jacky Bai and published by . This book was released on 2020-08-30 with total page 140 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 experience data scientist using other languages. Throughout this book, three small, carefully designed data sets are used to explain all of Pandas' functions. At the end, a detailed use case is provided to demonstrate how Pandas works with Python in real-life applications.If you are new to data analytics, you will find that this book explains complex concepts in a simple yet effective way, assisted with visual explanations. As for those who are experienced data engineers or data scientists, this book will be your best friend when working on projects requiring Pandas. In short, this book is for everyone, regardless of skill level.

Thinking in Pandas

Author : Hannah Stepanek
Publisher : Apress
ISBN 13 : 1484258398
Total Pages : 190 pages
Book Rating : 4.4/5 (842 download)

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Book Synopsis Thinking in Pandas by : Hannah Stepanek

Download or read book Thinking in Pandas written by Hannah Stepanek and published by Apress. This book was released on 2020-06-05 with total page 190 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 concepts by looking at exciting and impactful projects that pandas helped to solve. From there, you will learn to assess your own projects by size and type to see if pandas is the appropriate library for your needs. Author Hannah Stepanek explains how to load and normalize data in pandas efficiently, and reviews some of the most commonly used loaders and several of their most powerful options. You will then learn how to access and transform data efficiently, what methods to avoid, and when to employ more advanced performance techniques. You will also go over basic data access and munging in pandas and the intuitive dictionary syntax. Choosing the right DataFrame format, working with multi-level DataFrames, and how pandas might be improved upon in the future are also covered. By the end of the book, you will have a solid understanding of how the pandas library works under the hood. Get ready to make confident decisions in your own projects by utilizing pandas—the right way. What You Will Learn Understand the underlying data structure of pandas and why it performs the way it does under certain circumstancesDiscover how to use pandas to extract, transform, and load data correctly with an emphasis on performanceChoose the right DataFrame so that the data analysis is simple and efficient.Improve performance of pandas operations with other Python libraries Who This Book Is ForSoftware engineers with basic programming skills in Python keen on using pandas for a big data analysis project. Python software developers interested in big data.

Red Panda

Author : Angela R. Glatston
Publisher : Academic Press
ISBN 13 : 0128237546
Total Pages : 609 pages
Book Rating : 4.1/5 (282 download)

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Book Synopsis Red Panda by : Angela R. Glatston

Download or read book Red Panda written by Angela R. Glatston and published by Academic Press. This book was released on 2021-10-28 with total page 609 pages. Available in PDF, EPUB and Kindle. Book excerpt: Red Panda: Biology and Conservation of the First Panda, Second Edition, provides the most up-to-date research, data, and conservation solutions for the red pandas, Ailurus species. Since the publication of the previous edition in 2010, the International Union for Conservation of Nature (IUCN) updated the threat level of red pandas, and they are now considered to be endangered. This latest edition is updated to provide an in-depth look at the scientific and conservation-based issues urgently facing the red panda today. Led by one of the world's leading authorities and advocates for red panda conservation, this new edition includes data from the Population and Habitat Viability (PHVA) workshops conducted in three of the species' range states, Nepal, China, and India; these workshops utilized firsthand information on the decrease of red panda populations due to factors including deforestation, illegal pet trade, human population growth, and climate change. This book also includes updated information from the first edition on reproduction, anatomy, veterinary care, zoo management, and fossil history. - Discusses the evidence for two species of red panda and how this might impact conservation efforts - Reports on status in the wild, looks at conservation issues and considers the future of this unique species - Written by long-standing red panda experts as well as those specializing in fields involving cutting-edge red panda research - Includes new chapters on topic including the impact of climate change, how bamboo influences distribution, and conservation in Bhutan and Myanmar

The Pandas Workshop

Author : Blaine Bateman
Publisher : Packt Publishing Ltd
ISBN 13 : 1800202873
Total Pages : 744 pages
Book Rating : 4.8/5 (2 download)

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Book Synopsis The Pandas Workshop by : Blaine Bateman

Download or read book The Pandas Workshop written by Blaine Bateman and published by Packt Publishing Ltd. This book was released on 2022-06-17 with total page 744 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 databases, web data, and more • Build your experience and confidence with hands-on exercises and activities Book Description The Pandas Workshop will teach you how to be more productive with data and generate real business insights to inform your decision-making. You will be guided through real-world data science problems and shown how to apply key techniques in the context of realistic examples and exercises. Engaging activities will then challenge you to apply your new skills in a way that prepares you for real data science projects. You'll see how experienced data scientists tackle a wide range of problems using data analysis with pandas. Unlike other Python books, which focus on theory and spend too long on dry, technical explanations, this workshop is designed to quickly get you to write clean code and build your understanding through hands-on practice. As you work through this Python pandas book, you'll tackle various real-world scenarios, such as using an air quality dataset to understand the pattern of nitrogen dioxide emissions in a city, as well as analyzing transportation data to improve bus transportation services. By the end of this data analytics book, you'll have the knowledge, skills, and confidence you need to solve your own challenging data science problems with pandas. What you will learn • Access and load data from different sources using pandas • Work with a range of data types and structures to understand your data • Perform data transformation to prepare it for analysis • Use Matplotlib for data visualization to create a variety of plots • Create data models to find relationships and test hypotheses • Manipulate time-series data to perform date-time calculations • Optimize your code to ensure more efficient business data analysis Who this book is for This data analysis book is for anyone with prior experience working with the Python programming language who wants to learn the fundamentals of data analysis with pandas. Previous knowledge of pandas is not necessary.

Giant Pandas

Author : Donald Lindburg
Publisher : Univ of California Press
ISBN 13 : 0520238672
Total Pages : 328 pages
Book Rating : 4.5/5 (22 download)

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Book Synopsis Giant Pandas by : Donald Lindburg

Download or read book Giant Pandas written by Donald Lindburg and published by Univ of California Press. This book was released on 2004-08-23 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt: Combines the latest findings from the field and the laboratory with panel and workshop summaries from a recent international conference.

A Chance for Lasting Survival

Author : Pan Wenshi
Publisher : Smithsonian Institution
ISBN 13 : 1935623303
Total Pages : 384 pages
Book Rating : 4.9/5 (356 download)

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Book Synopsis A Chance for Lasting Survival by : Pan Wenshi

Download or read book A Chance for Lasting Survival written by Pan Wenshi and published by Smithsonian Institution. This book was released on 2014-03-04 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt: From 1984 through 1995 a small band of ecologists led by Pan Wenshi from Peking University conducted a study of wild giant pandas in the Qinling Mountains of Shaanxi Province. This project was the first Chinese-led conservation project in China and was conducted during a significant transition period in Chinese history, as the country opened its society and science to the world. The project focused on behavioral observation of wild giant pandas, but evolved to include physiology, nutrition, ecology, land-use policy, and population biology as the staff became more aware that the issues with captive pandas (assisted reproduction, unusual diet, and genetic inbreeding) were not the most critical to survival of wild populations. It is evident in this work that, as the scientists gained knowledge, they came to see giant panda conservation as wrapped in landscape ecology and human/wildlife interactions. The group was seminal in the Chinese government's enactment of a logging ban to their study area by advocating for pandas at the national level. The project was summarized in a 2001 volume, but its publication in Mandarin limited its influence on the greater conservation community. This English version of the original work translates, condenses, and refines the original volume, with added contextual chapters on the importance of this volume and how our understanding of giant panda conservation is shaped by this pioneering field work.