HackerNews Readings: Fluent Python: Clear, Concise, and Effective Programming

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5 HN comments

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Software Design for Flexibility: How to Avoid Programming Yourself into a Corner

Chris Hanson and Gerald Jay Sussman

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Domain-Driven Design: Tackling Complexity in the Heart of Software

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This Is How They Tell Me the World Ends: The Cyberweapons Arms Race

Nicole Perlroth

4.6 on Amazon

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Ian Sommerville

4.3 on Amazon

4 HN comments

Fluent Python: Clear, Concise, and Effective Programming

Luciano Ramalho

4.6 on Amazon

4 HN comments

Test Driven Development: By Example

Kent Beck

4.4 on Amazon

4 HN comments

Compilers: Principles, Techniques, and Tools

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4.1 on Amazon

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4.6 on Amazon

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Bitcoin: Hard Money You Can't F*ck With: Why Bitcoin Will Be the Next Global Reserve Currency

Jason A. Williams and Jessica Walker

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Sandworm: A New Era of Cyberwar and the Hunt for the Kremlin's Most Dangerous Hackers

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4.7 on Amazon

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Programming: Principles and Practice Using C++ (2nd Edition)

Bjarne Stroustrup

4.5 on Amazon

3 HN comments

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_____beeonMar 29, 2021

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

fermigieronJune 30, 2021

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

disgruntledphd2onAug 13, 2021

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).

dmulleronJune 23, 2021

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.