Here are 57 books that Python Distilled fans have personally recommended if you like
Python Distilled.
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I’ve been teaching and writing Python code (and managing others while they write Python code) for over 20 years. After all that time Python is still my tool of choice, and many times Python is the key part of how I explore and think about problems. My experience as a teacher also has prompted me to dig in and look for the simplest way of understanding and explaining the elegant way that Python features fit together.
Luciano’s book is one of the most complete discussions of the ins and outs of Python that I’ve seen. He is fascinated by coding in general and it comes across as he explores the ways Python is similar to (and different from) other language paradigms. This is the book I take out if I’m starting to dig in and explore a feature of Python, and if you want to understand the details beneath the details, this is the book for you.
Learn how to write idiomatic, effective Python code by leveraging its best features. Python's simplicity quickly lets you become productive with it, but this often means you aren't using everything the language has to offer. By taking you through Python's key language features and libraries, this practical book shows you how to make your code shorter, faster, and more readable all at the same time--what experts consider "Pythonic."Many programmers who learn Python basics fall into the trap of reinventing the wheel because of past experience in other languages, and try to bend the language to patterns that don't really apply…
I’ve been teaching and writing Python code (and managing others while they write Python code) for over 20 years. After all that time Python is still my tool of choice, and many times Python is the key part of how I explore and think about problems. My experience as a teacher also has prompted me to dig in and look for the simplest way of understanding and explaining the elegant way that Python features fit together.
I like this book not just because it’s a complete guide to the many ins and outs of data cleaning with Python, but also because David lays out the types of problems and the issues behind them. There are always trade-offs in data cleaning and this book lays out those trade-offs better than any other I’ve seen. This is one of the few books that as I go through it, I struggle to think of anything that could have been said better.
Think about your data intelligently and ask the right questions
Key Features
Master data cleaning techniques necessary to perform real-world data science and machine learning tasks
Spot common problems with dirty data and develop flexible solutions from first principles
Test and refine your newly acquired skills through detailed exercises at the end of each chapterBook Description
Data cleaning is the all-important first step to successful data science, data analysis, and machine learning. If you work with any kind of data, this book is your go-to resource, arming you with the insights and heuristics experienced data scientists had to learn the…
I’ve been teaching and writing Python code (and managing others while they write Python code) for over 20 years. After all that time Python is still my tool of choice, and many times Python is the key part of how I explore and think about problems. My experience as a teacher also has prompted me to dig in and look for the simplest way of understanding and explaining the elegant way that Python features fit together.
Al is one of the clearest writers on Python that I know. Here he distills his experience as both a working software engineer and a successful author to take coders from advanced beginner/intermediate level on to all of the “extra” knowledge one needs to write good code for practical use. When I read this book I find myself wishing I could write with such simplicity.
You're a student who wants to jumpstart their career with practical skills, or you're a self-taught beginner who has learned all you can from beginner programmer books and coding bootcamps. Now you're looking for the next step to becoming a real-world professional programmer so you can create your own apps and get started with your career. If that fits, then this book is for you! This book is perfect for self-taught programmers looking for the stuff intro books don't teach you and students wanting to get practical information before getting started with applying their new programming skills.
I’ve been teaching and writing Python code (and managing others while they write Python code) for over 20 years. After all that time Python is still my tool of choice, and many times Python is the key part of how I explore and think about problems. My experience as a teacher also has prompted me to dig in and look for the simplest way of understanding and explaining the elegant way that Python features fit together.
Dane covers the more advanced topics a programmer needs to be successful as a professional. In particular, he has good discussions of the basics of software design – things like separation of concerns, encapsulation, testing, and performance, as well as some of the issues involved with creating and maintaining large-scale systems. This is the book that I wish I’d had early in my coding career.
Summary Professional developers know the many benefits of writing application code that’s clean, well-organized, and easy to maintain. By learning and following established patterns and best practices, you can take your code and your career to a new level. With Practices of the Python Pro, you’ll learn to design professional-level, clean, easily maintainable software at scale using the incredibly popular programming language, Python. You’ll find easy-to-grok examples that use pseudocode and Python to introduce software development best practices, along with dozens of instantly useful techniques that will help you code like a pro.
Some programmers learn through online articles, videos, and blog posts. Not me. I need a throughline—a consistent, expert distillation of the material to take me from where I am to where I want to be. I am not good at patching together information from disparate sources. I need a great book. I have a PhD in computer science education, and I want to know what helps people learn. More importantly, I want to know how we can use such discoveries to write more effective books. The books I appreciate most are those that demonstrate not only mastery of the subject matter but also mastery of teaching.
Learning to program is hard. We need teachers who remember this, who are patient, who support the learning process, who not only know how to teach but also know how to learn from their teaching. Severance is all of these things. I like the breezy but precise writing, sections on debugging, glossaries and exercises in each chapter, and discussion of common learner errors. Bonus feature: regular expressions.
Python for Everybody is designed to introduce students to programming and software development through the lens of exploring data. You can think of the Python programming language as your tool to solve data problems that are beyond the capability of a spreadsheet.
Python is an easy to use and easy to learn programming language that is freely available on Macintosh, Windows, or Linux computers. So once you learn Python you can use it for the rest of your career without needing to purchase any software.
This book uses the Python 3 language. The earlier Python 2 version of this book…
My first computer was an early IBM PC back when all my friends had Commodores they used for gaming. Not being able to share their games meant I had to do something else, so I read the Introduction to Basic book that came in the box. I’ve been coding, reading about coding, writing about coding, teaching about coding, and talking about coding ever since. The world of technology moves so fast that it is hard to keep up. If you’ve taken one of my courses or listened to The Real Python Podcast, I hope you’ve heard about my passion for the topic.
When I work with students new to programming I often find they struggle with translating the toy problems in exercises to actually doing something in the real world.
I love this book and frequently recommend it to new programmers because it is centered around problems. Coding should be about making your life easier. At the beginning, the problems are small, but by the end, you’re learning about email, PDFs, and GUIs.
Sweigart has a great voice, and reading this feels like being guided by a friend rather than yet another coding textbook.
In this second edition of Automate the Boring Stuff with Python, you'll learn the basics of programming in Python, the fastest growing programming language today, before moving on to create Python programs that effortlessly perform useful and impressive feats of automation. This updated edition is full of step-by-step instructions that walk through each programme. Practice projects at the end of each chapter challenge you to improve those programmes and use your newfound skills to automate similar tasks.
I have been a machine learning engineer applying my ML expertise in computational advertising, and search domain. I am an author of 8 machine learning books. My first book was ranked the #1 bestseller in its category on Amazon in 2017 and 2018 and was translated into many languages. I am also a ML education enthusiast and used to teach ML courses in Toronto, Canada.
This book is more advanced than the first book I recommended. It presents ML theoretical and practical aspects step-by-step from the bottom up. Each chapter elaborates at length on a core building block in the ML life cycle. For example, feature engineering, supervised learning, and model evaluation have their own separate chapters, with intuitive discussions of how they work. Most of the concept is taught through the simple yet powerful Python Module Scikit-Learn so it won’t overburden you with heavy programming. This book will be perfect for practitioners with some understanding of statistics and linear algebra.
Machine learning has become an integral part of many commercial applications and research projects, but this field is not exclusive to large companies with extensive research teams. If you use Python, even as a beginner, this book will teach you practical ways to build your own machine learning solutions. With all the data available today, machine learning applications are limited only by your imagination. You'll learn the steps necessary to create a successful machine-learning application with Python and the scikit-learn library. Authors Andreas Muller and Sarah Guido focus on the practical aspects of using machine learning algorithms, rather than the…
I’ve been dabbling in Python for the last 22 years. I am a regular speaker at Pycon India ever since its inception. Most of my talks are related to Django. I host arunrocks.com where I write tutorials, and articles and publish screencasts on several Django and Python topics. My initial screencast titled "Building a blog in 30 mins with Django" is one of the most popular screencasts for beginners in Django. I’m a developer member of the Django Software Foundation.
Another book with a detailed coverage of the Django web framework. This is a revised book written originally by Adrian Holovaty and Jacob Kaplan-Moss—the creators of Django themselves. Hence the initial chapters are an excellent in-depth description of how Django works. The remaining parts of the books go into intermediate and advanced topics.
Mastering Django is the latest version of Mastering Django: Core—the original, best-selling programmer’s reference for Django.
Mastering Django is not just a revision of the original book—it has been completely rewritten from the ground up to meet the needs of modern Django programmers.
The main goal of this book is to make you a Django expert. By reading this book, you’ll learn the skills needed to develop powerful websites quickly, with code that is clean and easy to maintain.
This book is also a programmer’s manual that provides complete coverage of modern Django version 3 and above.
Since I was a kid, I’ve been passionate about technology and had a clear vocation to work with computers. I’ve been a developer for more than 20 years now, spending half of them mainly in the Python environment, and I’ve always been interested in improving my skills. While it’s true that software development is a field that changes constantly and technology evolves at great speed, there are some elements that remain relatively unchanged and can be used to compound knowledge and ability. In particular, the elements that are closer to the human element, teamwork, coordination, etc. are quite stable over time.
While this is a Python-specific book, it’s a fantastic description of all the possibilities for testing with a powerful module like Pytest offers. Testing is one of the basic experiences for a programmer, as it should be included as a core part of the development process. Understanding all the different options available like mark groups of tests, parametric tests, building your own extensions, or test coverage, to name only a few details, expands the understanding of how to design better tests and run them more efficiently.
Do less work when testing your Python code, but be just as expressive, just as elegant, and just as readable. The pytest testing framework helps you write tests quickly and keep them readable and maintainable - with no boilerplate code. Using a robust yet simple fixture model, it's just as easy to write small tests with pytest as it is to scale up to complex functional testing for applications, packages, and libraries. This book shows you how. For Python-based projects, pytest is the undeniable choice to test your code if you're looking for a full-featured, API-independent, flexible, and extensible testing…
Some programmers learn through online articles, videos, and blog posts. Not me. I need a throughline—a consistent, expert distillation of the material to take me from where I am to where I want to be. I am not good at patching together information from disparate sources. I need a great book. I have a PhD in computer science education, and I want to know what helps people learn. More importantly, I want to know how we can use such discoveries to write more effective books. The books I appreciate most are those that demonstrate not only mastery of the subject matter but also mastery of teaching.
Learning how to program in Python and make a video game at the same time. Hmm – sounds like learning your native language while writing a novel. That could be messy. Could be – but not with this book. McManus knows video games. McManus knows how to teach. I love the idea of teaching a programming language through one extended context. If, like me, you’re fascinated by retro video games, get this book and let that fascination propel you through your beginning programming journey. Bonus feature: commitment to the bit; everything is in space!
Launch into coding with Mission: Python, a space-themed guide to building a complete computer game in Python. As you work through the book, you'll build exercises and mini-projects, like making a spacewalk simulator and creating an astronaut's safety checklist that will put your new Python skills to the test. Before you know it, you'll have a working, awesome game to stump your friends with (and some nifty coding skills, too!). You can follow this book using a Raspberry Pi or a Microsoft Windows PC, and the 3D graphics and sound effects you need are provided as a download.
