Python for JavaScript Developers

Course details

Do you need to learn Python for your current job, for the job you want, or just for fun? In this course, instructor Ronnie Sheer shows you how you can leverage your existing knowledge of JavaScript to get started programming in Python. Ronnie compares Python and JavaScript, then covers how to set up and run a Python environment. He discusses how to write code that adheres to Python conventions, which can prevent bugs. Ronnie explains some of the basic logic in Python, including the use of indentation, how to write and debug control flow, how to use Python try/except appropriately, and more. He goes over objects and class definitions, then explores Python’s data model feature and mixins class. Ronnie goes into iteration in Python and shows how you can write more concise and elegant code in Python by using zip, enumerate, and list comprehensions. He concludes with a challenge that shows you how to apply your knowledge of JavaScript and Python to improve a small program.

Concepts

0. Introduction

01 - Using your JavaScript knowledge to learn Python
02 - What you should know

1. Tools of the Trade

03 - Comparing the Python ecosystem to the JavaScript universe
04 - Setting up an environment with Python, pip or Pipenv, and Node.js
05 - Running Python programs
06 - Debugging Python with ipdb
07 - Challenge - Hello Python JS ninja
08 - Solution - Hello Python JS ninja

2. The First Steps

09 - Why style is crucial
10 - Numbers, numeric types, and decimals
11 - Migrating from arrays to Python lists, tuples, and dictionaries
12 - Strings and formatting - Python vs. JavaScript
13 - Python slices
14 - Challenge - Port the code
15 - Solution - Port the code

3. Basic Logic

16 - Braces
17 - Control flow in Python
18 - How iteration differs between Python and JavaScript
19 - Why try except is everywhere
20 - Challenge - Porting the greeting
21 - Solution - Porting the greeting

4. Classes, Inheritance, and the Mighty Data Model

22 - Objects in Python vs. JavaScript
23 - Class definition in Python
24 - Super powers with the data model
25 - Understanding inheritance and mixins
26 - Challenge - Enhancing endpoints with mixins
27 - Solution - Enhancing endpoints with mixins

5. Advance Iterations and Comprehensions

28 - Iterating in Python
29 - Writing concise code with zip and enumerate
30 - From JavaScript map and filter to an elegant Python comprehensions
31 - Decorators are essential
32 - Challenge - Map to comprehension
33 - Solution - Map to comprehension

Conclusion

34 - More Python resources