CS 230: Programming in Python

The course objective is to introduce students to the Python programming language. Students will learn the fundamentals of strings, lists, objects, graphics, functions, decision structures, OOP, data collection, & algorithm design.

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Course Curriculum

1. Course Overview and Learning Outcomes
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1. Introduction
2. Ch 1.1: Systems Development Life Cycle
3. Quiz 1.1
4. Ch 1.2: Program Design
5. Quiz 1.2
6. Ch 1.3: Program Quality
7. Quiz 1.3
8. Ch 1.4: Pseudocode
9. Quiz 1.4
10. Ch 1.5: Flowcharts
11. Quiz 1.5
12. Ch 1.6: Software Testing
13. Quiz 1.6
14. Ch 1.7 - Integrated Development Environment (IDE)
15. Quiz 1.7
16. Ch 1.8: Key Concepts in Software Development: Version Control, Git, and I/O Operations
17. Quiz 1.8
18. Ch 1.9: Introduction to "Hello, World!" Program and Python IDEs
19. Quiz 1.9
20. Summary
1. Introduction
2. VIDEO: Displaying output to the user
3. VIDEO: Obtaining input from the user
4. Ch 2.1: The Python language
5. Quiz 2.1
6. Ch 2.2: Input/Output
7. Quiz 2.2
8. Summary
1. Introduction
2. VIDEO: Assigning and using variables
3. VIDEO: Integer and floating-point
4. VIDEO: Using len() to get the length of a string
5. VIDEO: Concatenating multiple strings
6. VIDEO: String indexes
7. VIDEO: String indexing
8. VIDEO: Printing an f-string
9. VIDEO: Strings are immutable
10. VIDEO: What is in the phrase?
11. VIDEO: for loop using in operator
12. VIDEO: counting the number of occurrences of a substring
13. VIDEO: finding the first index of a substring
14. VIDEO: split() for breaking down the string
15. VIDEO: join() for combining tokens into one string
16. VIDEO: Implicit Type Conversion
17. VIDEO: Explicit Type Conversion
18. VIDEO: Converting integers, floats and string using bool()
19. VIDEO: Operations Combining Integers and Floats
20. VIDEO: Adding a string and an integer
21. Ch 3.1: Constants, Variables and Identifier
22. Quiz 3.1
23. Ch 3.2: Data types in Python
24. Quiz 3.2
25. Ch 3.3: Strings
26. Quiz 3.3
27. Ch 3.4: Type Conversion in Python: Implicit and Explicit Conversions, Combining Data Types, and Best Practices
28. Quiz 3.4
29. Summary
1. Introduction
2. VIDEO: Incorrect variable name
3. VIDEO: Examples of round() Function
4. VIDEO: Comments in a program
5. VIDEO: Vacations docstring
6. VIDEO: Running a Python Shell
7. VIDEO: Correcting a typo
8. Ch 4.1: Understanding and Managing Python Errors: A Comprehensive Guide
9. Quiz 4.1
10. Ch 4.2: Comments, and Code Quality in Python
11. Quiz 4.2
12. Ch 4.3: Understanding the Python Interpreter and Shell
13. Quiz 4.3
14. Summary
1. Introduction
2. VIDEO: Comparison Operators
3. VIDEO: Operator Precedence
4. VIDEO: Operation Precedence
5. VIDEO: Using Parentheses
6. Ch 5.1: Fundamental Programming Concepts and Operators
7. Quiz 5.1
8. Ch 5.2: Relational Operators
9. Quiz 5.2
10. Ch 5.3: Logical Operators
11. Quiz 5.3
12. Ch 5.4: Order of Operations
13. Quiz 5.4
14. Summary
1. Introduction
2. VIDEO: if and if-else statement
3. VIDEO: Example: Trivia question
4. VIDEO: Example: Livestream features
5. VIDEO: Example: Possible chess moves
6. VIDEO: Example: Poisonous plant identification
7. VIDEO: Ternary operator: Example: Version Check
8. Ch 6.1: Control Structures and Structured Programming
9. Quiz 6.1
10. Ch 6.2: If, Elif, and Else Statements
11. Quiz 6.2
12. Ch 6.3: Chained Decisions
13. Quiz 6.3
14. Ch 6.4: Nested Decision Statements in Programming
15. Quiz 6.4
16. Ch 6.5: Conditional Expressions in Python
17. Quiz 6.5
18. Summary
1. Introduction
2. VIDEO: While loop
3. VIDEO: Counting with While Loop
4. VIDEO: For Loop Example for Iterating Over a Container Object
5. VIDEO: Nested for loops
6. VIDEO: Nested While loops
7. VIDEO: Break Statement in a While Loop
8. VIDEO: Control Statement in a While Loop
9. VIDEO: Loop else
10. Ch 7.1: While loop
11. Quiz 7.1
12. Ch 7.2: For loop
13. Quiz 7.2
14. Ch 7.3: Nested loops
15. Quiz 7.3
16. Ch 7.4: Break and Continue Statement
17. Quiz 7.4
18. Ch 7.5: Loop else
19. Quiz 7.5
20. Summary
1. Introduction
2. VIDEO: Simple Math Program
3. VIDEO: Welcome Message Function
4. VIDEO: Improving a Program with a Function
5. VIDEO: Control Flow: Calling a Brunch Menu Function
6. VIDEO: Book Club Email Messages
7. VIDEO: Global Variables in a Program with a Function
8. VIDEO: Global and Local Variables in a Program with a Function
9. VIDEO: Editing Global Variables in a Program with a Function
10. VIDEO: Global and Local Variables in a Program with a Function
11. VIDEO: Exploring a Faulty Function
12. VIDEO: Returning a Value from a Function
13. VIDEO: Using Function Calls in Expressions
14. VIDEO: Using Keyword Arguments
15. VIDEO: Using Default Parameter Values
16. Ch 8.1: Understanding Functions in Programming
17. Quiz 8.1
18. Ch 8.2: Understanding Control Flow and Functions in Programming
19. Quiz 8.2
20. Ch 8.3: Understanding Global and Local Scope in Python Functions
21. Quiz 8.3
22. Ch 8.4: Understanding Arguments, Parameters, and Mutability in Python Functions
23. Quiz 8.4
24. Ch 8.5: Understanding Function Return Values and Usage in Python
25. Quiz 8.5
26. Ch 8.6: Understanding Keyword and Positional Arguments in Functions
27. Quiz 8.6
28. Summary
1. Introduction
2. VIDEO: Lists
3. VIDEO: Mutability of a tuple vs a list
4. Ch 9.1: List
5. Quiz 9.1
6. Ch 9.2: Tuples
7. Quiz 9.2
8. Ch 9.3: Dictionaries
9. Quiz 9.3
10. Summary
1. Introduction
2. VIDEO: Importing area in a Python shell
3. VIDEO: Importing Functions
4. VIDEO: Importing Modules
5. VIDEO: Sphere Test Code
6. VIDEO: The Main Module
7. VIDEO: help function
8. Ch 10.1: Understanding and Utilizing Python Modules: Defining and Importing Functions for Geometric Calculations
9. Quiz 10.1
10. Ch 10.2: Effective Usage of Python Modules and Best Practices
11. Quiz 10.2
12. Ch 10.3: Managing Module Imports and Name Collisions in Python
13. Quiz 10.3
14. Ch 10.4: Understanding Side Effects and __name__ in Python Modules
15. Quiz 10.4
16. Ch 10.5: Understanding and Utilizing Colors in HTML and Python Modules
17. Quiz 10.5
18. Ch 10.6: Python Modules: Built-in and Third-Party Options
19. Quiz 10.6
20. Ch 10.7: Managing Python Environments and Seeking Help
21. Quiz 10.7
22. Summary
1. Introduction
2. VIDEO: Using len() to Get the Length of a List
3. VIDEO: Sorting
4. VIDEO: Copying a list
5. VIDEO: List-of-lists
6. VIDEO: Filtering a list
7. Ch 11.1: Comprehensive Guide to List Operations and Iteration in Python
8. Quiz 11.1
9. Ch 11.2: Sorting and reversing lists
10. Quiz 11.2
11. Ch 11.3: List Operations and Copying in Python
12. Quiz 11.3
13. Ch 11.4: Working with List-of-Lists in Python
14. Quiz 11.4
15. Ch 11.5: Understanding and Utilizing List Comprehensions in Python
16. Quiz 11.5
17. Summary
1. Introduction
2. VIDEO: Using objects to model social media
3. VIDEO: Encapsulating concert ticket information
4. VIDEO: Abstracting data in a countdown calculator
5. VIDEO: Classes and Instances: Representing a coffee order with a class
6. VIDEO: Creating multiple coffee orders and changing attributes
7. VIDEO: Using class attributes for shared coffee order information
8. VIDEO: Creating patient vital signs instances
9. VIDEO: Customizing __str__() in a user-defined class, Engineer
10. VIDEO: Overloading __add__() for a user-defined class, Account
11. VIDEO: Importing classes from files
12. Ch 13.1: Core Concepts of Object-Oriented Programming (OOP)
13. Quiz 13.1
14. Ch 13.2: Understanding Classes, Instances, and Attributes in Object-Oriented Programming
15. Quiz 13.2
16. Ch 13.3: Understanding __init__() and Instance Methods in Python
17. Quiz 13.3
18. Ch 13.4: Customizing Python with Magic Methods and Operator Overloading
19. Quiz 13.4
20. Ch 13.5: Importing and Using Classes in Python Modules
21. Quiz 13.5
22. Summary
1. Introduction
2. VIDEO: Dictionaries
3. VIDEO: Dictionaries properties
4. VIDEO: Creating a Dictionary Object
5. VIDEO: dict() for Dictionary Initialization
6. Video: Accessing Dictionary Items
7. VIDEO:Modifying Dictionary Items
8. VIDEO: Nested Dictionaries - Squares of numbers
9. Ch 12.1: Understanding Python Dictionaries: Concepts and Practice
10. Quiz 12.1
11. Ch 12.2: Python Dictionary Creation and Usage
12. Quiz 12.2
13. Ch 12.3: Python Dictionary Operations: Accessing, Modifying, and Managing Items
14. Quiz 12.3
15. Ch 12.4: Conditionals and Loops in Python Dictionaries
16. Quiz 12.4
17. Ch 12.5: Advanced Dictionary Concepts in Python
18. Quiz 12.5
19. Summary
1. Introduction
2. VIDEO: Three Towers
3. VIDEO: Solving Three Towers
4. VDEO: Finding the Factorial of 5
5. VIDEO: Factorial Using Recursion
6. VIDEO: Identifying a Palindrome
7. VIDEO: Checking List Permutations
8. VIDEO: Recursive Fibonacci Function
9. VIDEO: Binary Search
10. Ch 14.1: Understanding Recursion: The Three Towers Problem
11. Quiz 14.1
12. Ch 14.2: Understanding Recursion and Factorial Calculation
13. Quiz 14.2
14. Ch 14.3: Palindromes and List Permutations
15. Quiz 14.3
16. Ch 14.4: Understanding Fibonacci Sequence and Greatest Common Divisor (GCD)
17. Quiz 14.4
18. Ch 14.5: Exploring Recursive Algorithms: Binary Search and the Three Towers Problem
19. Quiz 14.5
20. Summary
1. Introduction
2. VIDEO: is-a relationship between Employee and Developer
3. VIDEO: Using inheritance to create subclasses
4. VIDEO: Defining a simple subclass
5. VIDEO: Defining __init__() in a subclass
6. VIDEO: Overriding a superclass method
7. VIDEO: Using super() to call the superclass __init__() method
8. VIDEO: Hierarchical organization and types of inheritance
9. VIDEO: Multiple inheritance organization
10. Ch 15.1: Understanding Class Relationships and Inheritance in Python
11. Quiz 15.1
12. Ch 15.2: Understanding Subclassing and Inheritance in Python
13. Quiz 15.2
14. Ch 15.3: Advanced Concepts in Object-Oriented Programming: Overriding, Inheritance, and Polymorphism
15. Quiz 15.3
16. Ch 15.4: Hierarchical and Multilevel Inheritance
17. Quiz 15.4
18. Ch 15.5: Understanding Multiple Inheritance and Mixin Classes in Python
19. Quiz 15.5
20. Summary
1. Introduction
2. VIDEO: Opening a file
3. VIDEO: read() and readline()
4. VIDEO: write() and close()
5. Ch 16.1: File Operations in Python
6. Quiz 16.1
7. Ch 16.2: File Modes for Reading and Writing
8. Quiz 16.2
9. Ch 16.3: Opening Files from Different Locations
10. Quiz 16.3
11. Ch 16.4: Handling Runtime Errors When Reading Files
12. Quiz 16.4
13. Ch 16.5: Raising and Handling Exceptions in Python
14. Quiz 16.5
15. Summary
1. Introduction
2. VIDEO: Data Science Life Cycle
3. VIDEO: Google Colaboratory Ecosystem
4. VIDEO: Creating an ndarray Object
5. VIDEO: NumPy Array Operations
6. VIDEO: Indexing a DataFrame
7. VIDEO: Indexing on a flight dataset
8. VIDEO: Visualization Types
9. Ch 17.1: Introduction to Data Science Life Cycle and Tools
10. Quiz 17.1
11. Ch 17.2: Introduction to NumPy Library and Its Operations
12. Quiz 17.2
13. Ch 17.3: Introduction to the Pandas Library for Data Analysis
14. Quiz 17.3
15. Ch 17.4: Exploratory Data Analysis (EDA): Techniques for Data Understanding, Indexing, Slicing, and Handling Missing Data
16. Quiz 17.4
17. Ch 17.5: Essential Concepts and Tools for Data Visualization in Data Science
18. Quiz 17.5
19. Summary
1. Assignment
2. Download Game.py and words.txt file from here
3. Rubric for Assignment
1. Final Exam Instructions
2. Final Exam

About this course

321 lessons
1750+ Transfer Colleges
ACE & NCCRS Approved
Globally Recognized

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YES, there are exams—held online on our platform and are proctored. Your course grade distribution is:

25% Attendance

25% Quiz

25% Assignments

25% Final Exam

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CS 230: Programming in Python

Course Curriculum

Computer Science 230: Programming in Python

CHAPTER 1 - Introduction to Programming

CHAPTER 2- Introduction to Python: A Versatile Scripting and Modular Language

CHAPTER 3- Introduction to Basic Data Types and Operations in Python

CHAPTER 4- Understanding Python Errors, Comments, and Code Quality

CHAPTER 5: Understanding Programming Fundamentals: Assignment, Arithmetic, Relational, and Logical Operations

CHAPTER 6: Decision-Making in Python: If Statements, Elif, Nested Statements, and Conditional Expressions

CHAPTER 7: Comprehensive Guide to Python Loops and Control Statements

CHAPTER 8: Functions and Control Flow in Python

CHAPTER 9: Introduction to Python Data Structures: Lists, Tuples, and Dictionaries

CHAPTER 10: Mastering Python Modules: Techniques, Best Practices, and Advanced Concepts

CHAPTER 11: Mastering List Operations, Iteration, and Comprehensions

CHAPTER 13: Understanding Key Concepts in Object-Oriented Programming (OOP) and Their Implementation

CHAPTER 12: Mastering Python Dictionaries

CHAPTER 14: Exploring Recursion: Key Concepts and Practical Applications

CHAPTER 15: Understanding and Implementing Inheritance in Python: Concepts and Practices

CHAPTER 16: Working with Files in Python: Opening, Reading, Writing, and Handling Errors

CHAPTER 17: Key Concepts in Data Analysis: Indexing, Slicing, Missing Data, and Visualization

Assignment

Final Exam

About this course

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