Sign-In
Cart
The Pandas Workshop: A comprehensive guide to using Python for data analysis with real-world case studies
Paperback
ISBN13: 9781800208933
Publisher: Packt Pub
Published: Jun 17 2022
Pages: 744
Weight: 2.77
Height: 1.48 Width: 7.50 Depth: 9.25
Language: English
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.
Also from
Bateman, Blaine
The Supervised Learning Workshop, Second Edition
Bateman, Blaine
Jha, Ashish Ranjan
Johnston, Benjamin
Paperback
Also in
Programming
Interactive Theorem Proving and Program Development: Coq'art: The Calculus of Inductive Constructions
Castéran, Pierre
Bertot, Yves
Hardcover
The Legend of Zelda(tm) Tears of the Kingdom - The Complete Official Guide: Collector's Edition
Piggyback
Hardcover
Python Crash Course, 3rd Edition: A Hands-On, Project-Based Introduction to Programming
Matthes, Eric
Paperback
Crisis Engineering: Time-Tested Tools for Turning Chaos Into Clarity
Nitze, Marina
Weaver, Matthew
Dickerson, Mikey
Paperback
Accelerate: The Science of Lean Software and DevOps: Building and Scaling High Performing Technology Organizations
Forsgren Phd, Nicole
Humble, Jez
Kim, Gene
Paperback
Embedded Systems with ARM Cortex-M Microcontrollers in Assembly Language and C: Fourth Edition
Zhu, Yifeng
Paperback
The Legend of Zelda(tm) Tears of the Kingdom - The Complete Official Guide: Standard Edition
Piggyback
Paperback
Vibe Coding: Building Production-Grade Software with Genai, Chat, Agents, and Beyond
Yegge, Steve
Kim, Gene
Paperback
Fundamentals of Software Architecture: A Modern Engineering Approach
Richards, Mark
Ford, Neal
Paperback
I Have an App Idea: The Essential Guide to Building an App Without Tech Skills
Spann, Amanda
Paperback
Make: Electronics: Learning by Discovery: A Hands-On Primer for the New Electronics Enthusiast
Platt, Charles
Paperback
AI Projects with Raspberry Pi: High-Performance Artificial Intelligence for Robotics, Security, Home Automation, and Vision
Hattersley, Lucy
Jepson, Brian
Paperback
The Manager's Path: A Guide for Tech Leaders Navigating Growth and Change
Fournier, Camille
Paperback
The Devops Handbook, 2nd Edition: How to Create World-Class Agility, Reliability, & Security in Technology Organizations
Humble, Jez
Debois, Patrick
Kim, Gene
Paperback
Building Applications with AI Agents: Designing and Implementing Multiagent Systems
Albada, Michael
Paperback
The Staff Engineer's Path: A Guide for Individual Contributors Navigating Growth and Change
Reilly, Tanya
Paperback
The Developer's Guide to AI: A Field Guide for the Working Developer
Reghunadh, Jerry M.
Thompson, Danny
Orshalick, Jacob
Paperback
Cracking the Coding Interview: 189 Programming Questions and Solutions
McDowell, Gayle Laakmann
Paperback
The New AI Cold War: Liberty vs. Tyranny in the Age of Machine Empires
Maginnis, Ltc Robert L.
Paperback
Learning Web Design: A Beginner's Guide to Html, Css, Javascript, and Web Images
Robbins, Jennifer
Paperback
Software Architecture: The Hard Parts: Modern Trade-Off Analyses for Distributed Architectures
Richards, Mark
Sadalage, Pramod
Ford, Neal
Paperback
The Return on AI: From Promise to Profit in the Age of Intelligent Business
Mittal, Ashwin
Sawhney, Mohanbir
Paperback
Observability Engineering: Achieving Production Excellence
Miranda, George
Majors, Charity
Fong-Jones, Liz
Paperback
Building Safer Technology: A Field Guide to Failing Well
Coles, Neil
Kissner, Lea
Zunger, Yonatan
Paperback
SQL QuickStart Guide: The Simplified Beginner's Guide to Managing, Analyzing, and Manipulating Data With SQL
Shields, Walter
Hardcover
Forecasting: Principles and Practice, the Pythonic Way
Athanasopoulos, George
Hyndman, Rob J.
Paperback
The Pragmatic Programmer: Your Journey to Mastery, 20th Anniversary Edition
Thomas, David
Hunt, Andrew
Hardcover
Linux Basics for Hackers, 2nd Edition: Getting Started with Networking, Scripting, and Security in Kali
Occupytheweb
Paperback
The Official Raspberry Pi Handbook 2026: Astounding Projects with Raspberry Pi Computers
Makers of Raspberry Pi Official Magazine, The
Paperback
Generative AI Design Patterns: Solutions to Common Challenges When Building Genai Agents and Applications
Lakshmanan, Valliappa
Hapke, Hannes
Paperback
Head First Design Patterns: Building Extensible and Maintainable Object-Oriented Software
Freeman, Eric
Robson, Elisabeth
Paperback
Frictionless: 7 Steps to Remove Barriers, Unlock Value, and Outpace Your Competition in the AI Era
Noda, Abi
Forsgren, Nicole
Paperback
Concrete Mathematics: A Foundation for Computer Science
Graham, Ronald
Patashnik, Oren
Knuth, Donald
Hardcover
Arduino Programming for Beginners: A Comprehensive Beginner's Guide to Learn the Realms of Arduino Programming from A-Z
Protosmith, Ada
Paperback
Learning Domain-Driven Design: Aligning Software Architecture and Business Strategy
Khononov, Vlad
Paperback
Grokking Algorithms, Second Edition: An Illustrated Guide for Programmers and Other Curious People
Bhargava, Aditya Y.
Paperback
Building AI-Powered Products: The Essential Guide to AI and Genai Product Management
Nika, Marily
Paperback
Debugging: The 9 Indispensable Rules for Finding Even the Most Elusive Software and Hardware Problems
Agans, David J.
Paperback
Learning Generative AI Tools for Excel: Speed Up Your Everyday Tasks with Microsoft Excel, Copilot, Chatgpt, and Beyond
Duca, Angelica Lo
Paperback
Site Reliability Engineering: How Google Runs Production Systems
Beyer, Betsy
Murphy, Niall Richard
Jones, Chris
Paperback
The Software Architect Elevator: Redefining the Architect's Role in the Digital Enterprise
Hohpe, Gregor
Paperback
Learning Php, MySQL & JavaScript: A Step-By-Step Guide to Creating Dynamic Websites
Nixon, Robin
Paperback
Python Programming for Young Coders: A Hands-On, Project-Based Introduction to Coding for Beginners, Kids, and Teens
Pandey, Anand
Paperback
Computer Science from Scratch: Building Interpreters, Art, Emulators and ML in Python
Kopec, David
Paperback
Software Engineering at Google: Lessons Learned from Programming Over Time
Winters, Titus
Manshreck, Tom
Wright, Hyrum
Paperback
Articulating Design Decisions: Communicate with Stakeholders, Keep Your Sanity, and Deliver the Best User Experience
Greever, Tom
Paperback
Adobe Photoshop, 2nd Edition: A Complete Course and Compendium of Features
Laskevitch, Stephen
Paperback
Kubernetes in Action, Second Edition: Deploying and Managing Containers and Cloud-Native Applications
Luksa, Marko
Conner, Kevin
Paperback
Pro C# 10 with .Net 6: Foundational Principles and Practices in Programming
Troelsen, Andrew
Japikse, Phil
Paperback
Living a Jewish Life, Revised and Updated: Jewish Traditions, Customs, and Values for Today's Families
Diamant, Anita
Cooper, Howard
Paperback
Prompt Engineering for Llms: The Art and Science of Building Large Language Model-Based Applications
Berryman, John
Ziegler, Albert
Paperback
Build an AI Agent (from Scratch): Agents That Reason, Plan, and ACT Autonomously
Hur, Jungjun
Song, Younghee
Paperback
Spies, Lies, and Algorithms: The History and Future of American Intelligence
Zegart, Amy B.
Paperback
Programming Massively Parallel Processors: A Hands-On Approach
El Hajj, Izzat
Hwu, Wen-Mei W.
Kirk, David B.
Paperback