Praise for Effective Python
“I have been recommending this book enthusiastically since the first edition
appeared in 2015. This new edition, updated and expanded for Python 3, is a
treasure trove of practical Python programming wisdom that can benefit pro-
grammers of all experience levels.”
—Wes McKinney, Creator of Python Pandas project, Director of Ursa Labs
“If you’re coming from another language, this is your definitive guide to taking
full advantage of the unique features Python has to offer. I’ve been working with
Python for nearly twenty years and I still learned a bunch of useful tricks, espe-
cially around newer features introduced by Python 3. Effective Python is crammed
with actionable advice, and really helps define what our community means when
they talk about Pythonic code.”
—Simon Willison, Co-creator of Django
“I’ve been programming in Python for years and thought I knew it pretty well.
Thanks to this treasure trove of tips and techniques, I’ve discovered many ways
to improve my Python code to make it faster (e.g., using bisect to search sorted
lists), easier to read (e.g., enforcing keyword-only arguments), less prone to error
(e.g., unpacking with starred expressions), and more Pythonic (e.g., using zip to
iterate over lists in parallel). Plus, the second edition is a great way to quickly get
up to speed on Python 3 features, such as the walrus operator, f-strings, and the
typing module.”
—Pamela Fox, Creator of Khan Academy programming courses
“Now that Python 3 has finally become the standard version of Python, it’s
already gone through eight minor releases and a lot of new features have been
added throughout. Brett Slatkin returns with a second edition of Effective Python
with a huge new list of Python idioms and straightforward recommendations,
catching up with everything that’s introduced in version 3 all the way through
3.8 that we’ll all want to use as we finally leave Python 2 behind. Early sections
lay out an enormous list of tips regarding new Python 3 syntaxes and concepts
like string and byte objects, f-strings, assignment expressions (and their special
nickname you might not know), and catch-all unpacking of tuples. Later sec-
tions take on bigger subjects, all of which are packed with things I either didn’t
know or which I’m always trying to teach to others, including ‘Metaclasses and
Attributes’ (good advice includes ‘Prefer Class Decorators over Metaclasses’ and
also introduces a new magic method ‘__init_subclass__()’ I wasn’t familiar with),
‘Concurrency’ (favorite advice: ‘Use Threads for Blocking I/O, but not Parallel-
ism,’ but it also covers asyncio and coroutines correctly) and ‘Robustness and
Performance’ (advice given: ‘Profile before Optimizing’). It’s a joy to go through
each section as everything I read is terrific best practice information smartly
stated, and I’m considering quoting from this book in the future as it has such
great advice all throughout. This is the definite winner for the ‘if you only read
one Python book this year...’ contest.
—Mike Bayer, Creator of SQLAlchemy
