Micro Learning | Python Fundamentals
Micro Learning | Python Fundamentals, available at $54.99, with 60 lectures, 6 quizzes.
You will learn about Understand the basics of Python programming. Write and execute simple Python scripts. Use Python’s fundamental data types and structures. Implement basic control flow mechanisms. Create and use functions in Python. This course is ideal for individuals who are Absolute beginners to programming. or Individuals transitioning to Python from other programming languages. or Students and professionals looking to learn Python basics quickly. It is particularly useful for Absolute beginners to programming. or Individuals transitioning to Python from other programming languages. or Students and professionals looking to learn Python basics quickly.
Enroll now: Micro Learning | Python Fundamentals
Summary
Title: Micro Learning | Python Fundamentals
Price: $54.99
Number of Lectures: 60
Number of Quizzes: 6
Number of Published Lectures: 60
Number of Published Quizzes: 6
Number of Curriculum Items: 66
Number of Published Curriculum Objects: 66
Original Price: $19.99
Quality Status: approved
Status: Live
What You Will Learn
- Understand the basics of Python programming.
- Write and execute simple Python scripts.
- Use Python’s fundamental data types and structures.
- Implement basic control flow mechanisms.
- Create and use functions in Python.
Who Should Attend
- Absolute beginners to programming.
- Individuals transitioning to Python from other programming languages.
- Students and professionals looking to learn Python basics quickly.
Target Audiences
- Absolute beginners to programming.
- Individuals transitioning to Python from other programming languages.
- Students and professionals looking to learn Python basics quickly.
This micro learning course is designed for individuals who are new to Python programming. It provides a solid foundation in Python, covering essential concepts and techniques. Through concise lessons and practical exercises, participants will learn to write simple yet effective Python code.
Course Objectives
By the end of this course, participants will be able to:
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Understand the basics of Python programming.
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Write and execute simple Python scripts.
-
Use Python’s fundamental data types and structures.
-
Implement basic control flow mechanisms.
-
Create and use functions in Python.
Target Audience
This course is ideal for:
-
Absolute beginners to programming.
-
Individuals transitioning to Python from other programming languages.
-
Students and professionals looking to learn Python basics quickly.
Prerequisites
Participants should have:
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Basic computer literacy.
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No prior programming experience required.
Course Modules
Module 1: Introduction to Python
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Lesson 1: Getting Started with Python
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Installing Python.
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Setting up a development environment.
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Lesson 2: Writing Your First Python Program
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Understanding the Python interpreter.
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Writing and running a simple script.
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Module 2: Python Basics
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Lesson 1: Variables and Data Types
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Understanding variables and data types.
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Working with numbers, strings, and booleans.
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Lesson 2: Basic Input and Output
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Using the input() function to gather user input.
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Displaying output with the print() function.
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Module 3: Control Flow
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Lesson 1: Conditional Statements
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Using if, elif, and else statements.
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Writing simple conditionals.
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Lesson 2: Loops
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Understanding for and while loops.
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Using loops to iterate over data structures.
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Module 4: Data Structures
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Lesson 1: Lists and Tuples
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Creating and manipulating lists and tuples.
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Common operations on lists and tuples.
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Lesson 2: Dictionaries and Sets
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Creating and using dictionaries and sets.
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Understanding key-value pairs and set operations.
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Module 5: Functions
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Lesson 1: Defining Functions
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Creating simple functions.
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Understanding function arguments and return values.
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Lesson 2: Using Built-in Functions
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Exploring common built-in functions.
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Applying built-in functions to solve problems.
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Course Delivery
The course will be delivered through a combination of:
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Video lectures: Concise lessons with practical examples.
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Hands-on coding exercises: Simple tasks to reinforce learning.
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Quizzes: Assessments to test understanding.
Course Curriculum
Chapter 1: Introduction
Lecture 1: Introduction
Chapter 2: Introduction to Python
Lecture 1: Lesson 1: Getting Started with Python
Lecture 2: Installing Python.
Lecture 3: Setting up a development environment.
Lecture 4: Lesson 2: Writing Your First Python Program
Lecture 5: Understanding the Python interpreter.
Lecture 6: Writing and running a simple script.
Lecture 7: Summary : Introduction to Python
Chapter 3: Python Basics
Lecture 1: Overview : Python Basics
Lecture 2: Lesson 1: Variables and Data Types
Lecture 3: Understanding variables and data types.
Lecture 4: Variables
Lecture 5: Working with numbers, strings, and booleans.
Lecture 6: Integers
Lecture 7: Floats
Lecture 8: Strings
Lecture 9: Booleans
Lecture 10: Type Conversions
Lecture 11: Lesson 2: Basic Input and Output
Lecture 12: Using the input() function to gather user input.
Lecture 13: Displaying output with the print() function.
Lecture 14: Formatted Output
Lecture 15: Summary : Python Basics
Chapter 4: Control Flow
Lecture 1: Lesson 1: Conditional Statements
Lecture 2: Using if, elif, and else statements.
Lecture 3: Writing simple conditionals.
Lecture 4: Lesson 2: Loops
Lecture 5: Understanding for and while loops.
Lecture 6: Using loops to iterate over data structures.
Lecture 7: Summary : Control Flow
Chapter 5: Data Structures
Lecture 1: Lesson 1: Lists and Tuples
Lecture 2: Lists
Lecture 3: Common List Operations : Indexing
Lecture 4: Common List Operations : Slicing
Lecture 5: Common List Operations : Modifying
Lecture 6: Common List Operations : Adding
Lecture 7: Common List Operations : Removing
Lecture 8: Creating and manipulating lists and tuples.
Lecture 9: Common operations on lists and tuples.
Lecture 10: Common Tuple Operations : Indexing
Lecture 11: Common Tuple Operations : Slicing
Lecture 12: Lesson 2: Dictionaries and Sets
Lecture 13: Dictionaries
Lecture 14: Common Dictionary Operations : Accessing
Lecture 15: Common Dictionary Operations : Adding and Modifying key-value pairs.
Lecture 16: Common Dictionary Operations : Removing Key-Value pairs.
Lecture 17: Creating and using dictionaries and sets.
Lecture 18: Common Set Operations : Adding elements.
Lecture 19: Common Set Operations : Removing elements.
Lecture 20: Understanding key-value pairs and set operations.
Lecture 21: Summary : Data Structures
Chapter 6: Functions
Lecture 1: Lesson 1: Defining Functions
Lecture 2: Creating simple functions.
Lecture 3: Understanding function arguments and return values.
Lecture 4: Lesson 2: Using Built-in Functions
Lecture 5: Exploring common built-in functions.
Lecture 6: Applying built-in functions to solve problems.
Lecture 7: Summary : Functions
Chapter 7: Summary
Lecture 1: Downloads
Lecture 2: Summary : Python Fundamentals
Instructors
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CloudMatrix Learning
Personalized Learning with AI-Driven Education Technology
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Frequently Asked Questions
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Can I take my courses with me wherever I go?
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