The book Fluent Python is a good book that goes beyond the introduction to python books
http://shop.oreilly.com/product/0636920032519.do

Here's an interview with the author in 2015
https://talkpython.fm/episodes/show/24/fluent-python

Fluent Python is an amazing book focused on teaching idiomatic Python to experienced programmers.

In your case I would recommend Effective Python and/or Fluent Python if you haven't read those.

Fluent Python by Luciano Ramalho is very good.

Fluent Python is an amazing book, even the first chapter made loads of weird python stuff just click for me (len, for example).

Fluent Python is a great book. I found Luciano Ramalho's writing style very easy to follow and his knowledge of Python is extensive.

Looks like Effective Python should be next on my reading list!

I went through "Fluent Python: Clear, Concise, and Effective Programming" and think it's probably the best Python (or any programming language?) book I've tried.

Not sure if a book is what you meant by guide.

Fluent Python is the best intermediate level Python book I have read. It is one book you wish to have more and more pages.

> Check out 'Fluent Python' for juicier python concepts.

One of the best Python books I've read!

But I would never recommend it to a (Python) beginner. There are more 'lightweight' books/solutions for beginner.

If GP is somewhat experienced in Python and would like to broaden his knowledge - Fluent Python all the way!

Fluent Python is a great book. 2nd edition is accessible as well https://learning.oreilly.com/library/view/fluent-python-2nd/...

Can anyone vouch for the stats books? I took stats in undergrad but I do need a refresher if I want to do any real data science.

15 books is a big commitment, but I’ve really been enjoying Fluent Python as I’m trying to go from beginner to intermediate knowledge.

Fluent Python 2nd ed. is available as a preprint on oreilly.com. Highly recommended.

If you like this kind of thing, the python manual has this: https://docs.python.org/3/reference/datamodel.html

I found the book Fluent Python to be a great introduction to the ideas behind abstraction in Python.

Apparently, it's cadged from the Art of the Metaobject Protocol, which is a great book (which annoyingly enough, is not available in ebook form, which is a shame as typing loads of code from a dead-tree book is time consuming).

I had prior experience with other programming / scripting languages, and picking Python up felt very natural.

I started with Mark Lutz's Learning Python (http://shop.oreilly.com/product/9780596513986.do) about 10 years ago.
In the meanwhile I've been an active contributor to large Python-based open source projects, e.g., Salt (https://github.com/saltstack/salt) which not only that it helped me get feedback from people with a tremendous experience, but also reading through the code taught me good practices and many good ways to solve various problems.
A few months ago I started reading Luciano Ramalho's Fluent Python (http://shop.oreilly.com/product/0636920032519.do) which is just beautifully written and with a wide variety of topics for a deeper look inside Python internals.

Thanks for Fluent Python, is this one [1]?

Java: Even for an early version I still revisit [2] Kathy Sierra SCJP 6 book beside of new ones, a great reminder for core concepts and basics, also 'effective java' by Joshua Bloch

C: As HeckFeck mentioned it was fun to follow C Programming Language by Brian W. Kernighan, Dennis Ritchie

[1] https://www.amazon.com/Fluent-Python-Concise-Effective-Progr...

[2] https://www.amazon.co.uk/Certified-Programmer-Study-Guide-CX...

OK. Book suggestions? I'm considering "Data Science from Scratch: First Principles with Python", "Fluent Python", "Naked Statistics" and "Machine Learning: The Art and Science of Algorithms that Make Sense of Data".

I want to find two great books which can brush up and improve my insights in areas such as Machine Learning, statistics, practical linear algebra, computer vision and DSP.

Any suggestions on how to choose among the book list above?

Most programming books do not let you pause to reflect. They just go on and on. Consider Fluent Python by Luis Ramalho. If you read through the book, you will not get much out of it. However, if after each chapter, you try to come up with a practical application of the concepts discussed, then you will have a better chance at building a mental model around the topics. The code presented is just a solution to a problem. You need to come up with more problems. Basically, don't be a passive learner. Be an active learner.

I've not read Fluent Python, but its table of contents looks quite extensive, and covers a lot of good ground.

Intuitive Python does cover some things that aren't present in Fluent Python (as far as I can tell): checking your code for errors with flake8 + mypy, using pdb to debug, profiling with cprofile, running external programs with subprocess, using the sqlite3 module, tempfile module, datetime + timezones, the Python official Docker images, and pip.

Fluent Python's ~800 pages really give great coverage for much of the standard library and patterns your students will see in wild Python, but the more compact ~140 page Intuitive Python might layer on some additional knowledge too.

I don't know (yet) about any of the resources mentioned in this post but let me share my experience. Last year I came back to Python after several years spent mostly in JVM land and I was looking for some refresher so when I saw Python book bundle on Humble Bundle I didn't hesitate for a moment. While all books were solid, one really stood out. Fluent Python[0] is one of the best intermediate/advanced level books on any programming language I've ever read. It's like an average advanced course, Effective Java and JavaScript: The Good Parts blended together. Bonus points for numerous references to other languages(How is Python different from X?) and other technical digressions. I couldn't recommend it more if you, like me, wrote some Python before but have the feeling you never really understood its essence.

[0]: http://shop.oreilly.com/product/0636920032519.do

Can anyone recommend a good python book for someone learning Data Analysis/Wrangling? I've listed a few options below.

Python for Data Analysis - http://shop.oreilly.com/product/0636920023784.do - I'm working on this one now.

Data Wrangling with Python - http://shop.oreilly.com/product/0636920032861.do

Fluent Python - http://shop.oreilly.com/product/0636920032519.do

Learning Predictive Analytics with Python - http://shop.oreilly.com/product/9781783983261.do

Data Visualization with Python and JavaScript - http://shop.oreilly.com/product/0636920037057.do

Thanks for any comments!