Reuven Lerner – författare

You know Python’s syntax, but when it comes to real projects you freeze or second-guess yourself. You are not alone. Many learners struggle to turn knowledge into action, even after completing tutorials or coursework. What if you could practice daily with focused challenges that build confidence, fluency, and muscle memory for writing clean, efficient, and professional Python code? 

50 focused exercises: build muscle memory for core and advanced language features.  Built-in data structures: write shorter, faster code with lists, tuples, dictionaries, and sets.  Functional techniques: unlock map, filter, and comprehensions for elegant data pipelines.  Object-oriented drills: design, create, and extend classes that stay maintainable.  Iterators and generators: process large data streams while saving memory and time.  Full solutions and explanations: verify your approach and learn professional idioms. 

Python Workout by veteran instructor Reuven M. Lerner offers a practical, workbook-style route to skill mastery.

Each self-contained challenge targets a specific concept, then walks you through a clear, annotated solution. The progressive sequence mirrors real coding tasks so readers advance naturally from fundamentals to powerful patterns.

Finish the book able to read, refactor, and write Python that stands up in production code reviews. The habits you form here stick because you learn by doing, not by memorizing.

Ideal for developers who know basic syntax and need fluency for work, study, or personal projects.

Python Workout presents 50 exercises designed to deepen the reader’s skill with Python.

 

Readers will not only tackle exercises using built-in data structures, but also more advanced techniques, such as functional programming, object-oriented programming, iterators, and generators. With each engaging challenge, readers will practice a new skill and learn how to apply it to everyday coding tasks.

 

Key Features

50 hands-on exercises and solutions Basic Python sequence types Python dictionaries and sets Functional programming in Python Creating your own classes Working with Python objects Generator functions

Intended for readers with basic Python skills.

 

About the technology

Python is a versatile, elegant, general purpose programming language. Essential for data analysis, web development, artificial intelligence, games, desktop apps, and more, Python skills are a hot commodity.

 

Reuven M. Lerner, an independent consultant for more than two decades, teaches Python, data science, and Git to companies around the world. His Better developers newsletter and blog are read by thousands of Python developers each week. Reuven has written a monthly column, “At the Forge,” for Linux Journal since 1996 and is a panellist on the weekly Freelancers Show podcast. Reuven lives with his wife and three children in Modi’in, Israel, and can be reached at https://lerner.co.il/ or on Twitter at @reuvenmlerner.

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 Discover 50 exercises that will strengthen your pandas skills to a level of automatic fluency. You'll test yourself against common pandas challenges such as data cleaning, and explore real-world datasets such as New York Taxis, Kickstarter projects, and global tourist spending. Detailed explanations help guide your success and make your new skills stick. You'll even get a big boost to productivity, with tasks that used to mean a trip to StackOverflow now a natural part of your skillset. about the technology

Mastering pandas means working out your new skills until they become like reflexes. This book gives you lots of pandas practice by working through the kind of scenarios you'll face in the real world. Whether you're a data scientist or a programmer handling large quantities of data, you'll soon overcome pandas's learning curve and start solving complex problems in less time. about the book

Pandas Workout hones your pandas skills to a professional-level through 50 hands-on exercises, along with 150 bonus challenges to really test your skills. Expert Python trainer Reuven Lerner coaches you through essentials like data frames and reveals pandas's rich functionality for string and date/time handling, complex indexing, and visualization. Clear explanations and detailed Jupyter Notebooks accompany every exercise, along with comparisons of different possible solutions. Work through this book, and you'll be ready to flex your muscles against even the trickiest pandas problems! RETAIL SELLING POINTS   • 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  AUDIENCE  For Python programmers and data analysts, with basic knowledge of pandas. 

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