Learn Enough Python to Be Dangerous: Software Development, Flask Web Apps, and Beginning Data Science with Python

by Michael Hartl

All You Need to Know, and Nothing You Don't, to Solve Real Problems with Python Python is one of the most popular programming languages in the world, used for everything from shell scripts to web development to data science. As a result, Python is a great language to learn, but you don't need to learn "everything" to get started, just how to use it efficiently to solve real problems. In Learn Enough Python to Be Dangerous , renowned instructor Michael Hartl teaches the specific concepts, skills, and approaches you need to be professionally productive. Even if you've never programmed before, Hartl helps you quickly build technical sophistication and master the lore you need to succeed. Hartl introduces Python both as a general-purpose language and as a specialist tool for web development and data science, presenting focused examples and exercises that help you internalize what matters, without wasting time on details pros don't care about. Soon, it'll be like you were born knowing this stuff--and you'll be suddenly, seriously dangerous . Learn enough about . . . Michael Hartl's Learn Enough Series includes books and video courses that focus on the most important parts of each subject, so you don't have to learn everything to get started--you just have to learn enough to be dangerous and solve technical problems yourself. Like this book? Don't miss Michael Hartl's companion video tutorial, Learn Enough Python to Be Dangerous LiveLessons . Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.

Genres: Coding, Programming

448 pages, Paperback

Published June 17, 2023

About the author

See mhartl.com

Reviews

[Anna]

I skipped around a lot, and found this really valuable - apparently there are online regex builders! And I am finally getting comfortable with list comprehensions and using the occasional generator instead of returning lists all the time.

[Johnny]

Parts of the book are refreshingly unconventional and improve the learning experience a lot. Other parts try to cover far too much content and only deliver on the dangerously enough promise.

[Ben]

Let's Get Dangerous

This is a great book on Python.

I like this series of books, and this one was very well put together.

As I am learning how to better teach others how to code, this book is an excellent resource for my intensions.

Check it out!

4.4/5