Sign-In
Cart
Python for Data Science and Machine Learning: The Only Book You Need to Master Python for DS and ML from Scratch: A Hands-On Guide to NumPy, Pandas, M
Paperback
Publisher: Independently Published
Published: Feb 9 2026
Pages: 206
Weight: 0.62
Height: 0.44 Width: 6.00 Depth: 9.00
Language: German
You've written your first Python scripts. Maybe you've completed a tutorial or two. But when it comes to actually working with data and building machine learning models, things get overwhelming fast. Which libraries do you learn first? How do they fit together? And how do you go from scattered knowledge to real, job-ready skills?
This book bridges the gap. It picks up where beginner Python courses leave off and gives you a clear, structured path from data manipulation to production-ready machine learning, all in one volume.
What's Inside:Part I: Python Foundations for Data Science
Solidify your Python skills and master NumPy for efficient numerical computing. Learn to work with real-world data formats including CSV, JSON, and Excel files, the data you'll actually encounter on the job.
Part II: Data Manipulation with Pandas
Go deep with Pandas: build, clean, transform, and explore datasets with confidence. From handling missing values to performing powerful groupby operations, you'll learn the techniques that data professionals use every single day.
Part III: Data Visualization
Tell compelling stories with data using Matplotlib and Seaborn. Create everything from simple line plots to advanced statistical visualizations, and learn when to use which.
Part IV: Machine Learning with Scikit-Learn
Understand the full ML pipeline from data preprocessing and feature engineering to building classification, regression, and clustering models. Every algorithm is explained with intuition, practical code, and real examples.
Part V: Production and Beyond
Learn model selection, hyperparameter tuning, and cross-validation. Then bring it all together in a complete end-to-end machine learning project, from raw data to final model. Plus: a look ahead at deep learning and the broader ecosystem.
Python cheat sheet for quick reference
Scikit-Learn algorithm decision guide, pick the right model every time
Common error messages and how to fix them
Full glossary of data science and ML terminology
This book is designed for readers who have some basic Python experience, you know what variables, loops, and functions are, but you're ready to take the next step. Whether you're a student preparing for a data career, a professional transitioning into data science, or a self-taught programmer looking for structured guidance, this book meets you where you are and takes you further.
No PhD required. No math degree needed. Just your curiosity and a willingness to learn by doing.
Stop piecing together fragmented tutorials. Get the complete roadmap, from Python to production-ready ML, in one book.
Also from
Drewes, Simon
Also in
Programming
Interactive Theorem Proving and Program Development: Coq'art: The Calculus of Inductive Constructions
Castéran, Pierre
Bertot, Yves
Hardcover
Seven Databases in Seven Weeks: A Guide to Modern Databases and the Nosql Movement
Redmond, Eric
Wilson, Jim
Perkins, Luc
Paperback
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
Vibe Coding: Building Production-Grade Software with Genai, Chat, Agents, and Beyond
Kim, Gene
Yegge, Steve
Paperback
Accelerate: The Science of Lean Software and DevOps: Building and Scaling High Performing Technology Organizations
Humble, Jez
Kim, Gene
Forsgren Phd, Nicole
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
Fundamentals of Software Architecture: A Modern Engineering Approach
Ford, Neal
Richards, Mark
Paperback
I Have an App Idea: The Essential Guide to Building an App Without Tech Skills
Spann, Amanda
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
Make: Electronics: Learning by Discovery: A Hands-On Primer for the New Electronics Enthusiast
Platt, Charles
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 Developer's Guide to AI: A Field Guide for the Working Developer
Thompson, Danny
Orshalick, Jacob
Reghunadh, Jerry M.
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
The Staff Engineer's Path: A Guide for Individual Contributors Navigating Growth and Change
Reilly, Tanya
Paperback
Software Architecture: The Hard Parts: Modern Trade-Off Analyses for Distributed Architectures
Richards, Mark
Sadalage, Pramod
Ford, Neal
Paperback
The Official Raspberry Pi Handbook 2026: Astounding Projects with Raspberry Pi Computers
Makers of Raspberry Pi Official Magazine, The
Paperback
Linux Basics for Hackers, 2nd Edition: Getting Started with Networking, Scripting, and Security in Kali
Occupytheweb
Paperback
SQL QuickStart Guide: The Simplified Beginner's Guide to Managing, Analyzing, and Manipulating Data With SQL
Shields, Walter
Hardcover
The Pragmatic Programmer: Your Journey to Mastery, 20th Anniversary Edition
Thomas, David
Hunt, Andrew
Hardcover
Generative AI Design Patterns: Solutions to Common Challenges When Building Genai Agents and Applications
Lakshmanan, Valliappa
Hapke, Hannes
Paperback
Forecasting: Principles and Practice, the Pythonic Way
Hyndman, Rob J.
Athanasopoulos, George
Paperback
Observability Engineering: Achieving Production Excellence
Miranda, George
Majors, Charity
Fong-Jones, Liz
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
Forsgren, Nicole
Noda, Abi
Paperback
The Return on AI: From Promise to Profit in the Age of Intelligent Business
Sawhney, Mohanbir
Mittal, Ashwin
Paperback
Arduino Programming for Beginners: A Comprehensive Beginner's Guide to Learn the Realms of Arduino Programming from A-Z
Protosmith, Ada
Paperback
Building AI-Powered Products: The Essential Guide to AI and Genai Product Management
Nika, Marily
Paperback
Grokking Algorithms, Second Edition: An Illustrated Guide for Programmers and Other Curious People
Bhargava, Aditya Y.
Paperback
Concrete Mathematics: A Foundation for Computer Science
Graham, Ronald
Patashnik, Oren
Knuth, Donald
Hardcover
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
Learning Domain-Driven Design: Aligning Software Architecture and Business Strategy
Khononov, Vlad
Paperback
This Is Service Design Doing: Applying Service Design Thinking in the Real World
Stickdorn, Marc
Lawrence, Adam
Hormess, Markus Edgar
Paperback
The Software Architect Elevator: Redefining the Architect's Role in the Digital Enterprise
Hohpe, Gregor
Paperback
Computer Science from Scratch: Building Interpreters, Art, Emulators and ML in Python
Kopec, David
Paperback
Python Programming for Young Coders: A Hands-On, Project-Based Introduction to Coding for Beginners, Kids, and Teens
Pandey, Anand
Paperback
Learning Php, MySQL & JavaScript: A Step-By-Step Guide to Creating Dynamic Websites
Nixon, Robin
Paperback
Software Engineering at Google: Lessons Learned from Programming Over Time
Winters, Titus
Manshreck, Tom
Wright, Hyrum
Paperback
Prompt Engineering for Llms: The Art and Science of Building Large Language Model-Based Applications
Berryman, John
Ziegler, Albert
Paperback
Living a Jewish Life, Revised and Updated: Jewish Traditions, Customs, and Values for Today's Families
Diamant, Anita
Cooper, Howard
Paperback
Articulating Design Decisions: Communicate with Stakeholders, Keep Your Sanity, and Deliver the Best User Experience
Greever, Tom
Paperback
Pro C# 10 with .Net 6: Foundational Principles and Practices in Programming
Troelsen, Andrew
Japikse, Phil
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
Spies, Lies, and Algorithms: The History and Future of American Intelligence
Zegart, Amy B.
Paperback
Site Reliability Engineering: How Google Runs Production Systems
Beyer, Betsy
Murphy, Niall Richard
Jones, Chris
Paperback
Ruined by Design: How Designers Destroyed the World, and What We Can Do to Fix It
Monteiro, Mike
Paperback
Electronic Music and Sound Design - Theory and Practice with Max 9 - Volume 1 (Fifth Edition)
Cipriani, Alessandro
Maurizio, Giri
Paperback