Hands-On Python 3 for Programmers with Timelines in Mind
Hands-On Python 3 for Programmers with Timelines in Mind, available at $19.99, has an average rating of 4.35, with 57 lectures, 14 quizzes, based on 55 reviews, and has 8038 subscribers.
You will learn about Learners Will Learn to Code Effectively in Python Basic Concepts of Python Programming Decision Making, Looping Constructs, Functions Pythonic Data Structures and Pythonic Way of Writing Code This course is ideal for individuals who are Beginners with Timelines in Mind or Programming Beginners Looking to Learn Python or Programmers With Knowledge of Other Programming Languages Seeking to Learn Python or Developers Planning a Career Move to Data Science, AI or Generative AI It is particularly useful for Beginners with Timelines in Mind or Programming Beginners Looking to Learn Python or Programmers With Knowledge of Other Programming Languages Seeking to Learn Python or Developers Planning a Career Move to Data Science, AI or Generative AI.
Enroll now: Hands-On Python 3 for Programmers with Timelines in Mind
Summary
Title: Hands-On Python 3 for Programmers with Timelines in Mind
Price: $19.99
Average Rating: 4.35
Number of Lectures: 57
Number of Quizzes: 14
Number of Published Lectures: 57
Number of Published Quizzes: 14
Number of Curriculum Items: 71
Number of Published Curriculum Objects: 71
Original Price: $199.99
Quality Status: approved
Status: Live
What You Will Learn
- Learners Will Learn to Code Effectively in Python
- Basic Concepts of Python Programming
- Decision Making, Looping Constructs, Functions
- Pythonic Data Structures and Pythonic Way of Writing Code
Who Should Attend
- Beginners with Timelines in Mind
- Programming Beginners Looking to Learn Python
- Programmers With Knowledge of Other Programming Languages Seeking to Learn Python
- Developers Planning a Career Move to Data Science, AI or Generative AI
Target Audiences
- Beginners with Timelines in Mind
- Programming Beginners Looking to Learn Python
- Programmers With Knowledge of Other Programming Languages Seeking to Learn Python
- Developers Planning a Career Move to Data Science, AI or Generative AI
Welcome to “Python 3 for Beginners | Step by Step Course” – your launchpad to the world of programming using Python 3! Whether you’re a complete beginner or looking to refresh your skills, this comprehensive course is designed to guide you through the essentials of Python, one of the most popular and versatile programming languages today.
What You’ll Learn:
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Python Basics: Dive into the foundational concepts of Python, from setting up your development environment to writing and executing your first Python script.
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Data Structures: Explore Python’s built-in data types, lists, dictionaries, tuples, and sets, and understand when and how to use them.
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Flow Control: Master the art of controlling your code’s execution with loops, conditions, and exception handling.
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Functions & Modules: Learn to write reusable code using functions,
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Object-Oriented Programming (OOP): Grasp the principles of OOP in Python, and understand classes, objects, inheritance, and more.
Who This Course Is For:
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Absolute beginners with no prior experience in programming.
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Individuals who know other programming languages but are new to Python.
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Anyone looking to solidify their foundational knowledge in Python 3.
Course Features:
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6 hours of on-demand video lectures.
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Interactive quizzes and coding challenges.
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Downloadable resources and cheat sheets.
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Certificate of completion.
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Supportive community and Q&A sections for course-related help.
By the end of this course, you’ll have a solid grasp of Python 3, and you’ll be ready to tackle more advanced topics or even start your own projects. Begin your Python journey with confidence and clarity.
Enroll today!
Course Curriculum
Chapter 1: Introduction
Lecture 1: Introduction
Lecture 2: How to work through this course?
Chapter 2: Run Python Online
Lecture 1: Run python with online IDEs
Chapter 3: Executing Python Code
Lecture 1: Introduction to the Interpreter
Lecture 2: Executing a Script or Python Code File
Lecture 3: Installing Python 3rd Party Packages
Chapter 4: Basic Understanding of Git and Github
Lecture 1: Git and Github
Lecture 2: Setup Git Repository for Course
Chapter 5: Basic Data Types
Lecture 1: variables and variable assignment revisited
Lecture 2: Simple DataTypes in Python
Lecture 3: TypeCasting
Lecture 4: Reading User Input in Python
Lecture 5: Operations on Strings
Lecture 6: Datetime
Chapter 6: Small But Relevant Topics
Lecture 1: Line Joining ( Implicit, Explicit ) in Python Code
Lecture 2: Comments in Python
Lecture 3: Reserved Keywords in Python
Lecture 4: Built-ins in Python
Chapter 7: Control Flow
Lecture 1: Program components and indentation
Lecture 2: Simple-If
Lecture 3: If-Else
Lecture 4: If-Elif-Else
Lecture 5: Multiple-Elif-Conditions
Lecture 6: Nested-If-Else Conditions
Lecture 7: Logical. Operators
Lecture 8: While Loops in Python
Lecture 9: Continue and Break Statement
Lecture 10: While Else
Lecture 11: Exercise :: Number Guessing Game
Lecture 12: For Loops in Python
Lecture 13: for else
Chapter 8: functions in Python
Lecture 1: Function Syntax
Lecture 2: Functions | Examples
Lecture 3: Empty Function with Pass
Lecture 4: Commonly Used Built-in Functions
Lecture 5: Functions as First Class Citizens
Chapter 9: Built in Data Containers
Lecture 1: Lists
Lecture 2: List Comprehensions
Lecture 3: Operations on Lists
Lecture 4: List Methods
Chapter 10: Built in Data Containers "Dictionaries"
Lecture 1: Dictionaries
Lecture 2: Dictionary comprehensions
Lecture 3: Dictionary Operations
Lecture 4: Dictionary Methods
Chapter 11: Tuples
Lecture 1: Tuples
Lecture 2: Tuple Operations
Lecture 3: Tuple Methods
Chapter 12: Sets
Lecture 1: Sets Introduction
Lecture 2: Operations on Sets
Chapter 13: TypeCasting on Data Containers
Lecture 1: Brief about Enumerate Function
Lecture 2: Type Casting Pythonic Data Containers
Lecture 3: lambda functions
Chapter 14: Introduction to Object Oriented Programming
Lecture 1: Classes as Blueprints
Lecture 2: Creating Objects
Lecture 3: Private Members
Lecture 4: Inheritance
Chapter 15: Thank You & Next Steps
Lecture 1: Thank You and Next Steps
Instructors
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Rishabh IO
Full stack technologist
Rating Distribution
- 1 stars: 0 votes
- 2 stars: 1 votes
- 3 stars: 7 votes
- 4 stars: 16 votes
- 5 stars: 31 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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