Learn Enough Python to Be Dangerous

Software Development, Flask Web Apps, and Beginning Data Science with Python

AvMichael Hartl

Häftad, Engelska, 2023

Del i serien Learn Enough

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Beskrivning

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 . . .

Applying core Python concepts with the interactive interpreter and command line
Writing object-oriented code with Python's native objects
Developing and publishing self-contained Python packages
Using elegant, powerful functional programming techniques, including Python comprehensions
Building new objects, and extending them via Test-Driven Development (TDD)
Leveraging Python's exceptional shell scripting capabilities
Creating and deploying a full web app, using routes, layouts, templates, and forms
Getting started with data-science tools for numerical computations, data visualization, data analysis, and machine learning
Mastering concrete and informal skills every developer needs

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.

Produktinformation

Utgivningsdatum:2023-07-12
Mått:178 x 230 x 30 mm
Vikt:760 g
Format:Häftad
Språk:Engelska
Serie:Learn Enough
Antal sidor:448
Upplaga:1
Förlag:Pearson Education
ISBN:9780138050955

Utforska kategorier

Programspråk inom Data och IT

Mer om författaren

Michael Hartl created the legendary Ruby on Rails™ Tutorial that helped jumpstart thousands of web development careers. A cofounder and principal author at Learn Enough, Hartl previously earned a Ph.D. in physics at the California Institute of Technology (Caltech), where he received a Lifetime Achievement Award for Excellence in Teaching. He is also an alumnus Harvard University and the world-renowned Y Combinator entrepreneur program.

Recensioner i media

"Just started the #100DaysOfCode journey. Today marks day 1. I have completed @mhartl's great Ruby tutorial at @LearnEnough and am looking forward to starting on Ruby on Rails from tomorrow. Onwards and upwards."--Optimize Prime (@_optimize), Twitter post"Ruby and Sinatra and Heroku, oh my! Almost done with this live web application. It may be a simple palindrome app, but it's also simply exciting! #100DaysOfCode #ruby @LearnEnough #ABC #AlwaysBeCoding #sinatra #heroku"--Tonia Del Priore (@toninjaa), Twitter post; Software Engineer for a FinTech Startup for 3+ years"I have nothing but fantastic things to say about @LearnEnough courses. I am just about finished with the #javascript course. I must say, the videos are mandatory because @mhartl will play the novice and share in the joy of having something you wrote actually work!"--Claudia Vizena"I must say, this Learn Enough series is a masterpiece of education. Thank you for this incredible work!"--Michael King"I want to thank you for the amazing job you have done with the tutorials. They are likely the best tutorials I have ever read."--Pedro Iatzky

Innehållsförteckning

Preface xiiiAcknowledgments xviiAbout the Author xixChapter 1: Hello, World! 11.1 Introduction to Python 61.2 Python in a REPL 111.3 Python in a File 131.4 Python in a Shell Script 161.5 Python in a Web Browser 18Chapter 2: Strings 352.1 String Basics 352.2 Concatenation and Interpolation 382.3 Printing 442.4 Length, Booleans, and Control Flow 462.5 Methods 562.6 String Iteration 62Chapter 3: Lists 693.1 Splitting 693.2 List Access 713.3 List Slicing 743.4 More List Techniques 773.5 List Iteration 833.6 Tuples and Sets 86Chapter 4: Other Native Objects 914.1 Math 914.2 Times and Datetimes 974.3 Regular Expressions 1034.4 Dictionaries 1094.5 Application: Unique Words 115Chapter 5: Functions and Iterators 1215.1 Function Definitions 1215.2 Functions in a File 1305.3 Iterators 138Chapter 6: Functional Programming 1496.1 List Comprehensions 1506.2 List Comprehensions with Conditions 1566.3 Dictionary Comprehensions 1596.4 Generator and Set Comprehensions 1636.5 Other Functional Techniques 165Chapter 7: Objects and Classes 1697.1 Defining Classes 1697.2 Custom Iterators 1767.3 Inheritance 1797.4 Derived Classes 183Chapter 8: Testing and Test-Driven Development 1918.1 Package Setup 1928.2 Initial Test Coverage 1978.3 Red 2098.4 Green 2148.5 Refactor 220Chapter 9: Shell Scripts 2319.1 Reading from Files 2319.2 Reading from URLs 2409.3 DOM Manipulation at the Command Line 245Chapter 10: A Live Web Application 25510.1 Setup 25610.2 Site Pages 26310.3 Layouts 27110.4 Template Engine 28010.5 Palindrome Detector 29310.6 Conclusion 316Chapter 11: Data Science 31911.1 Data Science Setup 32011.2 Numerical Computations with NumPy 32711.3 Data Visualization with Matplotlib 33811.4 Introduction to Data Analysis with pandas 35311.5 pandas Example: Nobel Laureates 36111.6 pandas Example: Titanic 37711.7 Machine Learning with scikit-learn 38611.8 Further Resources and Conclusion 403Index 405