Python Programming Foundation
Python Programming Foundation, available at $44.99, has an average rating of 4.7, with 100 lectures, based on 10 reviews, and has 23 subscribers.
You will learn about Data Structures Algorithms Programming Problem Solving This course is ideal for individuals who are Beginner Python Developers It is particularly useful for Beginner Python Developers.
Enroll now: Python Programming Foundation
Summary
Title: Python Programming Foundation
Price: $44.99
Average Rating: 4.7
Number of Lectures: 100
Number of Published Lectures: 100
Number of Curriculum Items: 100
Number of Published Curriculum Objects: 100
Original Price: ₹2,999
Quality Status: approved
Status: Live
What You Will Learn
- Data Structures
- Algorithms
- Programming
- Problem Solving
Who Should Attend
- Beginner Python Developers
Target Audiences
- Beginner Python Developers
A beginner-friendly course designed to help start learning Python language from scratch. Learn Python basics, Variables & Data types, Input & Output, Operators, and more as you build your python foundation real strong with us! This course has been designed for absolute beginners who wish to kickstart and build their foundations of Python programming language. Get in-depth knowledge of Functions, Loops, Strings, Lists and learn how to solve coding problems efficiently in python.
Python is an in-demand programming language that can help you unlock the door to a better paying job. So whether you’re a new programmer trying to learn new skills or an experienced coder looking to expand your knowledge, this course can help you match your skills with your ambitions.
The course has been curated by GeeksforGeeks CEO Mr. Sandeep Jain along with other experts who will definitely help you learn & skill up. You can try out some Python programming examples for practice.
Elevate your career prospects with Python, a sought-after language in today’s tech landscape. With Python’s versatility and high demand in the job market, completing this course not only builds a strong programming foundation but also opens doors to diverse career opportunities, making it a valuable investment in one’s skill development journey.
Course Curriculum
Chapter 1: Python Basics
Lecture 1: Background Part 1 (IO Devices, CPU and Memory)
Lecture 2: Background Part 2 (Computer Organization & Operating System)
Lecture 3: Why Do We Need Programming Languages
Lecture 4: Python Introduction
Lecture 5: Python Standard and Implementations
Lecture 6: How Python Programs are Executed
Lecture 7: Python Programming Terminology
Lecture 8: Python Installation and First Program
Lecture 9: Comments in Python
Chapter 2: Variable and Data types
Lecture 1: Variables in Python
Lecture 2: Swap two Variables
Lecture 3: Id() in Python
Lecture 4: Type() in Python
Lecture 5: List Introduction
Lecture 6: Tuples in Python
Lecture 7: Set in Python
Lecture 8: Dictionary in Python
Lecture 9: Type Conversion in Python
Chapter 3: Input and Output in Python
Lecture 1: print() in Python
Lecture 2: input() in Python
Chapter 4: Operators
Lecture 1: Arithmetic Operators in Python
Lecture 2: Logical Operators in Python
Lecture 3: Identity Comparison Operators in Python
Lecture 4: Membership Test Operators in Python
Lecture 5: Bitwise Operators in Python Part 1
Lecture 6: Bitwise Operators in Python Part 2
Lecture 7: Arithmetic Progression nth Term in Python
Lecture 8: Geometric Progression nth Term in Python
Lecture 9: Sum of Natural numbers
Lecture 10: Find Last Digit in Python
Lecture 11: Day Before N Days
Chapter 5: Flow Control
Lecture 1: if, else and elif in Python
Lecture 2: Even-Odd in Python
Lecture 3: Largest of three in Python
Lecture 4: Leap Year in Python
Lecture 5: Calculator Program in Python
Chapter 6: Loops
Lecture 1: Loops In Python
Lecture 2: While Loops in Python
Lecture 3: range() in Python
Lecture 4: For Loop In Python
Lecture 5: Table of A Number
Lecture 6: Break In Python
Lecture 7: Continue In Python
Lecture 8: Nested Loop in Python
Lecture 9: Square Pattern in Python
Lecture 10: Printing Triangle Pattern in Python
Lecture 11: Inverted Triangle in Python
Lecture 12: Pyramid Pattern in Python
Lecture 13: Count Digits
Lecture 14: Factorial in Python
Lecture 15: GCD in Python
Lecture 16: LCM in Python
Lecture 17: Fibonacci Numbers in Python
Lecture 18: Check for Prime in Python
Lecture 19: All Divisors Of A Number
Lecture 20: Optimizations of All Divisors and Prime
Chapter 7: Functions
Lecture 1: Functions in Python
Lecture 2: Applications of Functions
Lecture 3: How Functions Work?
Lecture 4: Default Arguments
Lecture 5: Keyword Arguments
Lecture 6: Variable Length Arguments
Lecture 7: Parameter Passing in Python
Lecture 8: Returning Multiple Values in Python
Lecture 9: Global Variable in Python
Lecture 10: Find First Digit in Python
Lecture 11: Prime Factorization
Chapter 8: String
Lecture 1: Strings in Python
Lecture 2: Escape Sequences and Raw Strings
Lecture 3: Formatted String in Python
Lecture 4: String Operations Part (1)
Lecture 5: String Operations Part (2)
Lecture 6: String Comparison in Python
Lecture 7: Pattern Searching in Python
Lecture 8: Check For Palindrome In Python
Lecture 9: Reverse A String in Python
Lecture 10: Decimal to binary in Python
Lecture 11: Binary to Decimal Conversion
Chapter 9: List
Lecture 1: Slicing (List, Tuple And String)
Lecture 2: Get Smaller Elements
Lecture 3: Separate Even and Odd
Lecture 4: Comprehensions in Python
Lecture 5: Average or Mean of a List
Lecture 6: Count Distinct Elements in a List
Lecture 7: Check if a list is Sorted
Chapter 10: Object Oriented Programming ( OOPs )
Lecture 1: Introduction to OOPs
Lecture 2: Classes and Objects
Lecture 3: Encapsulation
Lecture 4: Class Instance Attributes
Lecture 5: Class Members Access
Instructors
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GeeksforGeeks (GfG)
GeeksforGeeks
Rating Distribution
- 1 stars: 0 votes
- 2 stars: 0 votes
- 3 stars: 0 votes
- 4 stars: 4 votes
- 5 stars: 6 votes
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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