Start your Python journey with this course, where you’ll gain a solid foundation in this powerful language. Learn how to work with variables and data types to store and process information, master operations to perform calculations and make comparisons, and unlock the power of strings for text manipulation. Through hands-on case studies, like creating a checkout system, splitting tips, and calculating compound interest, you’ll apply your skills to solve real-life problems. This beginner-friendly course is perfect for anyone looking to build practical coding skills and confidence in Python.
Overview
Syllabus
- Introduction
- This module introduces the basics of Python, highlighting why it is a popular programming language and how to start learning it. It covers the differences between script and interactive Python, explains why iPython is preferred, and introduces Jupyter Notebooks as a powerful tool for coding. Additionally, it explores the distinctions between local and cloud-based coding environments, including the specific setup used in Coursera labs.
- Input and Output
- This module explores the basics of input and output in Python. Starting with the classic "Hello, World!" example using the print() function, it explains the differences between single, double, and triple quotation marks in Python. The module also covers how to print multiple values simultaneously and introduces the input() function to receive user inputs. Learners will see how to combine input() and print() to create simple interactive programs.
- Variables and Data Types
- This module introduces variables in Python, including how to define them and the rules for naming them correctly according to syntax and conventions. It covers the fundamental data types—integers (int), floating-point numbers (float), and strings (str)—and explains how to convert between these types using Python’s built-in conversion functions.
- Operations
- This module focuses on the different types of operations in Python, including assignment, arithmetic, relational, and logical operations. It explains how to use these operations to manipulate data and make comparisons within Python programs, providing a foundational understanding of how data is processed and evaluated.
- Strings
- This module delves into the str data type in Python, covering everything from the basics of what a string is to how to create, access, and manipulate strings. It includes techniques for slicing, concatenating, and formatting strings, as well as an overview of common string methods that simplify text processing tasks.
- Essential Python Case Studies
- This module applies essential Python concepts through practical case studies, demonstrating how to solve real-life problems using the skills learned in previous modules. The case studies include a checkout system for calculating total costs, a tip-splitting application to fairly divide tips among diners, and a compound interest calculator for financial planning.
Taught by
Di Wu
