Programming with Python All in One
- Development
- Apr 02, 2025

Programming with Python All in One, available at Free, has an average rating of 4.2, with 30 lectures, based on 342 reviews, and has 27886 subscribers.
You will learn about basic programming skills computer science concept python programming language problem solving – put everything together with software This course is ideal for individuals who are High school students who are thinking CS as their major. or College non-cs major students or Anyone It is particularly useful for High school students who are thinking CS as their major. or College non-cs major students or Anyone.
Enroll now: Programming with Python All in One
Summary
Title: Programming with Python All in One
Price: Free
Average Rating: 4.2
Number of Lectures: 30
Number of Published Lectures: 30
Number of Curriculum Items: 30
Number of Published Curriculum Objects: 30
Original Price: Free
Quality Status: approved
Status: Live
What You Will Learn
Who Should Attend
Target Audiences
Programming is one aspect of computer science and software engineering. The primary goal of this course is to build a solid foundation of programming knowledge and skills. With what learned in this course, the students should find it is easier to learn more advanced concepts in computer science.
Not everyone will be or want to be a software engineer, however, this course can help them realize how a problem can be solved by using computer program; how Python can help scientists and engineers improve their productivity.
Believe or not, software developers usually join a product development from the very beginning to the very end. (while this is not true for mechanical engineers or electrical engineers). Most importantly, sometimes, updating software is the better solution to fix or improve a product.
The teaching can be viewed as a vehicle to help students develop problem solving skills. This course will use some mathematics or physics, but it is not a math or physics course, and we use them in programming to re-enforce the learning in those fields.
At the end of this course, It would be a great achievement for the students and me when they find they are able to learn some other programming languages or computer science topics not taught in this course by themselves
Course Curriculum
Chapter 1: Introduction
Lecture 1: Demo
Lecture 2: Introduction
Chapter 2: Basics
Lecture 1: Arithmetic with Python
Lecture 2: Arithmetic Operator Precedence
Lecture 3: Types
Lecture 4: Variables
Lecture 5: String
Lecture 6: Lists
Chapter 3: Functions, Boolean Expression, Flow Control and some CS concepts
Lecture 1: Function Basics
Lecture 2: Relational Operators
Lecture 3: Logical Operators
Lecture 4: Conditional Branching – if-else
Lecture 5: Binary Numbers
Lecture 6: Conditional Branching – if-elif
Lecture 7: Variable Scope
Lecture 8: While Loop
Lecture 9: More about Loops
Lecture 10: Argument Passing
Lecture 11: Exceptions
Lecture 12: Computation with Python
Lecture 13: Modules
Chapter 4: Simple Algorithms, Graphics, Class and Applications
Lecture 1: Binary Search
Lecture 2: Linear Interpolation
Lecture 3: Recursion
Lecture 4: Simple Sorting
Lecture 5: Graphics
Lecture 6: Graphics – 2D Transform
Lecture 7: Classes
Lecture 8: Class Inheritance
Lecture 9: Projectile Motion Simulaiton
Instructors

Haichuan Lin
Software Engineer
Rating Distribution
Frequently Asked Questions
How long do I have access to the course materials?
You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!
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