The Python Workshop: Learn to code in Python and kickstart your career in software development or data science

I've used a few different Python training guides/workshops and most of them use the same method of teaching: using Jupyter notebooks to run through various Python exercises until completion. The Python Workshop is no exception. This is an effective way to learn the basics, plus more. I bought the physical book version of this item, as I would like to have a reference book when I need to look up something quickly (yes, sometimes books can be quicker than the internet). Even though this only includes the books (no codes for software), the software it uses can be downloaded for free and the preface gives easy instructions for how to set up the software. I'm not sure how effective this book would work as a Kindle ebook, but maybe it will work for someone out there.

There's plenty of online and e-Book options for leaninig Python, but I simply don't learn well from a screen.If you're like me and you really need a physical book to learn well, this is for you. This is a thick book packed with great information.It's great for beginners like myself, and I would imagine also good for those already know Python, but want to brush up or learn a new process.The writing is easy to understand and explains concepts very well.Bottom line: great for physical learners.

Examples are a great way to learn so this is perfect way to begin to learn Python. Very easy to follow

I bought this book thinking it would be a good Python reference book. It serves more as a printed course on Python, and while fairly thorough, it left me wondering when I couldn't find "sleep" or "loop" or "if" or "else" in the back index (nothing is listed under "J", "L", "W" or "X" headings)? There is no good way to just find pages dealing with certain Python operators or key words and no compilation of terms exists in the whole book (sad, given that it is 566 pages). You can use the chapter index to locate many things but wouldn't one think a complete alphabetical locator would be handy? I haven't begun to read through the book, but a quick scan indicates there's a lot of useful material in it and the format of examples is good. It just isn't the desk reference I envisioned, and I don't think it would be a good recommendation for such.

as you can see, I have a whole shelf of python books.I have a good grasp on the language by now, but I wanted to find the best book to recommend for someone wanting to get the most out of a single volume. this is the book. it will hold your hand from the beginning, and keep reusing ideas over and over while adding new ones, in order to cement the skills you'll need to not only write effective code, but to write effective pythonic code. it will take you right up to the intermediate and advanced topics. get this book to start, then move on to fluent python, and effective python, or another more advanced one.

I have been looking for a resource to teach myself Python so that I can use it with my research. This book is easy to follow and make learning Python simple. It is a great resource for anyone looking to learn Python.

I work in the eCommerce field. I know about programming languages, however, I have not had a chance to look deep into python. This book is helping me build tools to understand data to help me control my business in a better direction.

Great book, very detailed exercises, and all around really useful. Highly recommended if you are thinking of dipping your toes into Python!

Semplice, veloce e efficace.

I purchased this book because I’m just starting out with learning programming and this was recommended as a guide suitable for a beginner. I suppose it’s to be expected that students of this text would need to execute the code themselves rather than just read it in the book. The fact that the publisher guides you on how to do this is very appreciated. I find the book’s corresponding videos on the publisher’s website to be particularly helpful in clarifying some points made in the text.I saw a review that mentioned the text font made the book hard to follow. There was also mention that it hadn’t been proofread. I feel like this person MUST have been reviewing an entirely different book! While I’ve not yet completed the book, thus far I’ve not encountered anything that would speak to more proofreading needing to be done. And the text font and layout caught my attention immediately in such a positive and exciting way when I first opened the book. I expected the text to be tiny and difficult to read. Wow, the text is incredibly pleasing to the eyes and easy to follow.I would have paid twice as much for this book!

Work through the text, study the lessons, complete the practical exercises and work out any glitches by yourself without complaining and this is a dream for learning Python.

Good quality and with nice big letters easy to read.

Coming from a mainly embedded 'c' background, I am trying to keep up with trends, so have bought a few 'Janet and John' style books about Python which have been of limited use.However, about 10% of the way through, this course seems like a good way to get into Python, step by step. It's certainly helping things to click into place for me. One or two issues, though. It is based around the use of Anaconda and Jupyter Notebooks - whch I had never heard of - but doesn't explain why or what they are. You are required to install this environment before you can start, and this caused one or two hiccups. Once past this small hurdle, it turns out that it's a good way to do things, and (certainly for those intending to develop a career in data science, anyway) it will be very useful I think. Once underway, the incremental approach to Python, one exercise at a time, is a bit like a class-based training course, but entirely at your own pace, and you can just go back and revise what you have done until it sinks in. Perfect for a fading brain like mine!I haven't got as far as the online material yet, I will update this review as I progress.