Python Quick Start

1h 48mBeginner2023-08-01

Authors

Lavanya Vijayan

Coding instructor who is passionate about STEM education and diversity

Madecraft

Full-Service Learning Content Company

Course details

Are you looking to get started with Python, but not sure where to begin? In this course, Python expert and trainer Lavanya Vijayan shows you the basics of what Python is, why it is such a powerful and in-demand programming language, and what you need to know to start writing it.

Discover the fundamentals of programming in Python through data, functions, sequences, conditional statements, iteration, loops, and recursion. Along the way, Lavanya provides a brief introduction to object-oriented programming, its key applications, and industry best practices. By the end of this quick start course, you’ll be well on your way with becoming proficient in Python to boost your skill set and advance your career.

Skills covered

PythonProgramming LanguagesOpen SourceSoftware DevelopmentOne-Off

Concepts

0. Introduction

01 - Advancing your career with Python

1. Defining Python

02 - Demystifying Python
03 - Starting with Python
04 - Comparing Python vs. Java
05 - Harnessing the power of Python

2. Working with Data in Python

06 - Setting up your Python environment
07 - Sorting your types of data
08 - Storing data using variables

3. Using Functions in Python

09 - Defining functions in Python
10 - Using built-in functions in Python
11 - Building your own functions
12 - Distinguishing types of functions
13 - Using modules in Python

4. Leveraging Sequences in Python

14 - Defining sequences
15 - Using lists in Python
16 - Leveraging tuples in Python

5. Using Conditional Statements in Python

17 - Defining conditional statements
18 - Working with if statements
19 - Using If-else statements
20 - If-elif and if-elif-else statements

6. Working with Iteration in Python

21 - Defining iteration
22 - Using a for loop
23 - Writing a while loop

7. Using Recursive Functions in Python

24 - Demystifying recursive functions
25 - Navigating a recursive function

8. Object-Oriented Programming in Python

26 - What is object-oriented programming
27 - Applying object-oriented programming

Conclusion

28 - Next steps