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Micro Learning | Python Programming 20 Basic Practice

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Micro Learning | Python Programming 20 Basic Practice, available at $54.99, has an average rating of 2.5, with 52 lectures, 19 quizzes, based on 1 reviews, and has 1 subscribers.

You will learn about Python Syntax: Students will familiarize themselves with the basic syntax and structure of Python code, including proper indentation, comments. Variables and Data Types: Students will learn how to declare and use variables, understand different data types (such as integers, floats, strings, and booleans Input and Output: Students will learn how to accept user input using the input() function and display output using the print() function. Conditional Statements: Students will understand how to use conditional statements (if, elif, else) to control the flow of their programs. Loops: Students will learn how to use for and while loops to repeat code blocks and automate repetitive tasks. Functions: Students will understand how to define and call functions, pass arguments to functions, and return values from functions. Lists and Tuples: Students will learn how to create, access, and manipulate lists and tuples, which are fundamental data structures in Python. Dictionaries: Students will understand how to create and work with dictionaries, which are key-value pair data structures in Python. Basic String Operations: Students will learn how to perform common string operations, such as concatenation, slicing, and formatting. File Handling: Students will gain knowledge of how to read from and write to files using Python's built-in file handling capabilities. This course is ideal for individuals who are Beginners: Individuals who are new to programming and want to learn Python from scratch. This course provides a gentle introduction to Python programming concepts through bite-sized lessons and practical exercises. or Aspiring Python Developers: Those who aspire to become Python developers and want to build a strong foundation in the language. The course covers essential Python concepts and provides hands-on practice to reinforce learning. or Professionals Seeking Python Skills: Professionals from various fields, such as data analysis, web development, or automation, who want to acquire Python programming skills to enhance their job prospects or apply Python in their current roles. or Students: Students enrolled in computer science, engineering, or related programs who want to learn Python as part of their curriculum or to supplement their studies with practical programming skills. or Hobbyists and Self-Learners: Individuals who enjoy learning new skills and want to explore Python programming as a hobby or for personal projects. The micro learning format allows them to learn at their own pace and fit learning into their busy schedules. or Anyone Interested in Programming: The course is suitable for anyone who has an interest in programming and wants to start with a beginner-friendly language like Python. No prior programming experience is required. It is particularly useful for Beginners: Individuals who are new to programming and want to learn Python from scratch. This course provides a gentle introduction to Python programming concepts through bite-sized lessons and practical exercises. or Aspiring Python Developers: Those who aspire to become Python developers and want to build a strong foundation in the language. The course covers essential Python concepts and provides hands-on practice to reinforce learning. or Professionals Seeking Python Skills: Professionals from various fields, such as data analysis, web development, or automation, who want to acquire Python programming skills to enhance their job prospects or apply Python in their current roles. or Students: Students enrolled in computer science, engineering, or related programs who want to learn Python as part of their curriculum or to supplement their studies with practical programming skills. or Hobbyists and Self-Learners: Individuals who enjoy learning new skills and want to explore Python programming as a hobby or for personal projects. The micro learning format allows them to learn at their own pace and fit learning into their busy schedules. or Anyone Interested in Programming: The course is suitable for anyone who has an interest in programming and wants to start with a beginner-friendly language like Python. No prior programming experience is required.

Enroll now: Micro Learning | Python Programming 20 Basic Practice

Summary

Title: Micro Learning | Python Programming 20 Basic Practice

Price: $54.99

Average Rating: 2.5

Number of Lectures: 52

Number of Quizzes: 19

Number of Published Lectures: 52

Number of Published Quizzes: 19

Number of Curriculum Items: 71

Number of Published Curriculum Objects: 71

Original Price: $49.99

Quality Status: approved

Status: Live

What You Will Learn

  • Python Syntax: Students will familiarize themselves with the basic syntax and structure of Python code, including proper indentation, comments.
  • Variables and Data Types: Students will learn how to declare and use variables, understand different data types (such as integers, floats, strings, and booleans
  • Input and Output: Students will learn how to accept user input using the input() function and display output using the print() function.
  • Conditional Statements: Students will understand how to use conditional statements (if, elif, else) to control the flow of their programs.
  • Loops: Students will learn how to use for and while loops to repeat code blocks and automate repetitive tasks.
  • Functions: Students will understand how to define and call functions, pass arguments to functions, and return values from functions.
  • Lists and Tuples: Students will learn how to create, access, and manipulate lists and tuples, which are fundamental data structures in Python.
  • Dictionaries: Students will understand how to create and work with dictionaries, which are key-value pair data structures in Python.
  • Basic String Operations: Students will learn how to perform common string operations, such as concatenation, slicing, and formatting.
  • File Handling: Students will gain knowledge of how to read from and write to files using Python's built-in file handling capabilities.

Who Should Attend

  • Beginners: Individuals who are new to programming and want to learn Python from scratch. This course provides a gentle introduction to Python programming concepts through bite-sized lessons and practical exercises.
  • Aspiring Python Developers: Those who aspire to become Python developers and want to build a strong foundation in the language. The course covers essential Python concepts and provides hands-on practice to reinforce learning.
  • Professionals Seeking Python Skills: Professionals from various fields, such as data analysis, web development, or automation, who want to acquire Python programming skills to enhance their job prospects or apply Python in their current roles.
  • Students: Students enrolled in computer science, engineering, or related programs who want to learn Python as part of their curriculum or to supplement their studies with practical programming skills.
  • Hobbyists and Self-Learners: Individuals who enjoy learning new skills and want to explore Python programming as a hobby or for personal projects. The micro learning format allows them to learn at their own pace and fit learning into their busy schedules.
  • Anyone Interested in Programming: The course is suitable for anyone who has an interest in programming and wants to start with a beginner-friendly language like Python. No prior programming experience is required.

Target Audiences

  • Beginners: Individuals who are new to programming and want to learn Python from scratch. This course provides a gentle introduction to Python programming concepts through bite-sized lessons and practical exercises.
  • Aspiring Python Developers: Those who aspire to become Python developers and want to build a strong foundation in the language. The course covers essential Python concepts and provides hands-on practice to reinforce learning.
  • Professionals Seeking Python Skills: Professionals from various fields, such as data analysis, web development, or automation, who want to acquire Python programming skills to enhance their job prospects or apply Python in their current roles.
  • Students: Students enrolled in computer science, engineering, or related programs who want to learn Python as part of their curriculum or to supplement their studies with practical programming skills.
  • Hobbyists and Self-Learners: Individuals who enjoy learning new skills and want to explore Python programming as a hobby or for personal projects. The micro learning format allows them to learn at their own pace and fit learning into their busy schedules.
  • Anyone Interested in Programming: The course is suitable for anyone who has an interest in programming and wants to start with a beginner-friendly language like Python. No prior programming experience is required.

Course Title: Micro Learning | Python Programming 20 Basic Practice

Course Overview: The “Micro Learning | Python Programming 20 Basic Practice” course is designed to help beginners and aspiring programmers learn and practice the fundamentals of Python programming through a series of short, focused exercises. This course follows a micro learning approach, where each lesson is concise, self-contained, and can be completed in a short amount of time. By the end of the course, learners will have a solid foundation in Python programming and be able to solve basic programming problems with confidence.

Course Objectives: Upon completion of this course, learners will be able to:

  • Understand the basic syntax and structure of Python code

  • Declare variables and perform basic arithmetic operations

  • Use conditional statements (if-else) to control the flow of the program

  • Implement loops (for and while) to repeat code execution

  • Define and call functions to modularize code

  • Manipulate strings and perform string operations

  • Work with lists and perform common list operations

  • Use dictionaries to store and retrieve key-value pairs

  • Read from and write to files

  • Handle exceptions and errors gracefully

Course Structure: The course consists of 20 micro lessons, each focusing on a specific Python programming concept or practice problem. Each lesson includes a brief explanation of the concept, followed by a hands-on exercise to reinforce the learning. The lessons are designed to be completed in a sequential manner, building upon the knowledge gained from previous lessons.

The course covers the following topics:

  1. Hello, World! – Writing your first Python program

  2. Variables and Data Types – Declaring variables and understanding data types

  3. Arithmetic Operations – Performing basic arithmetic operations

  4. Conditional Statements – Using if-else statements for decision making

  5. Loops – Implementing for and while loops for repetitive tasks

  6. Functions – Defining and calling functions

  7. Strings – Manipulating and working with strings

  8. Lists – Creating and manipulating lists

  9. Dictionaries – Storing and retrieving data using dictionaries

  10. File Handling – Reading from and writing to files

  11. Exceptions – Handling exceptions and errors

  12. Modules – Importing and using modules

  13. List Comprehensions – Writing concise and efficient list operations

  14. Tuples – Understanding and using tuples

  15. Sets – Working with sets and their operations

  16. Recursion – Implementing recursive functions

  17. Lambda Functions – Using lambda functions for short, anonymous functions

  18. Generators – Creating and using generators

  19. Decorators – Understanding and applying decorators

  20. Object-Oriented Programming (OOP) Basics – Introduction to classes and objects

Each lesson comes with a set of practice exercises that allow learners to apply the concepts learned and gain hands-on experience with Python programming. The exercises range from simple code snippets to solving small programming problems.

Course Duration and Pace:

The course is designed to be completed at the learner’s own pace. Each micro lesson is estimated to take around 10-15 minutes to complete, including the explanation and practice exercises. Learners can choose to complete the lessons in a single sitting or spread them out over multiple sessions, depending on their learning style and availability.

Target Audience: This course is suitable for:

  • Beginners who are new to programming and want to learn Python

  • Individuals who want to quickly grasp the fundamentals of Python programming

  • Anyone looking for a concise and practice-oriented approach to learning Python

Prerequisites: No prior programming experience is required to take this course. However, basic computer literacy and familiarity with using a text editor or an integrated development environment (IDE) will be beneficial.

By the end of the “Micro Learning | Python Programming 20 Basic Practice” course, learners will have gained a solid foundation in Python programming and be equipped with the skills to solve basic programming problems. They will be ready to take on more advanced Python concepts and explore further areas of interest in programming.

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Lecture 2: Python Brief Description

Lecture 3: Installing Python

Chapter 2: Exercise 01 : Hello, World!

Lecture 1: Download : Exercise 01

Chapter 3: Exercise 2: Variables and Data Types

Lecture 1: Learn : Variables and Data Types

Lecture 2: Download : Exercise 02

Lecture 3: DEMO : Variable and Data Types

Chapter 4: Exercise 3: Basic Arithmetic Operations

Lecture 1: Learn : Basic Arithmetic Operators

Lecture 2: Download : Exercise 03

Chapter 5: Exercise 4: Strings

Lecture 1: Learn : Strings in Python

Lecture 2: Download : Exercise 04

Chapter 6: Exercise 5: Lists

Lecture 1: Learn : Lists in Python

Lecture 2: Download : Exercise 05

Lecture 3: DEMO : Lists

Chapter 7: Exercise 6: Tuples

Lecture 1: Learn : Tuples in Python

Lecture 2: Download : Exercise 06

Lecture 3: DEMO : Tuples

Chapter 8: Exercise 7: Dictionaries

Lecture 1: Learn : Dictionaries in Python

Lecture 2: Download : Exercise 07

Lecture 3: DEMO : Dictionaries

Chapter 9: Exercise 8: Conditional Statements

Lecture 1: Learn : Conditional Statements in Python

Lecture 2: Download : Exercise 08

Lecture 3: DEMO : IF – ELSE

Chapter 10: Exercise 9: For Loops

Lecture 1: Learn : For Loops in Python

Lecture 2: Download : Exercise 09

Lecture 3: DEMO : For Loops

Chapter 11: Exercise 10: While Loops

Lecture 1: Learn : While Loops in Python

Lecture 2: Download : Exercise 10

Lecture 3: DEMO : While Loops

Chapter 12: Exercise 11: Functions

Lecture 1: Learn : Functions in Python

Lecture 2: Download : Exercise 11

Chapter 13: Exercise 12: Return Values

Lecture 1: Learn : Return Values

Lecture 2: Download : Exercise 12

Chapter 14: Exercise 13: Lambda Functions

Lecture 1: Learn : Lambda Functions in Python

Lecture 2: Download : Exercise 13

Chapter 15: Exercise 14: List Comprehensions

Lecture 1: Learn : List Comprehension in Python

Lecture 2: Download : Exercise 14

Lecture 3: DEMO : List Comprehension in Python

Chapter 16: Exercise 15: File Handling

Lecture 1: Learn : File Handling in Python

Lecture 2: Download : Exercise 15

Chapter 17: Exercise 16: Exception Handling

Lecture 1: Learn : Exception Handling in Python

Lecture 2: Download : Exercise 16

Chapter 18: Exercise 17: Classes and Objects

Lecture 1: Learn : Classes and Objects in Python

Lecture 2: Download : Exercise 17

Chapter 19: Exercise 18: Inheritance

Lecture 1: Learn : Inheritance in Python

Lecture 2: Download : Exercise 18

Chapter 20: Exercise 19: Importing Modules

Lecture 1: Learn : Importing Modules in Python

Lecture 2: Download : Exercise 19

Chapter 21: Exercise 20: Simple API with Flask

Lecture 1: Exercise : 20 : Simple API with Flask

Lecture 2: Download : Exercise 20

Chapter 22: Summary

Lecture 1: Summary

Lecture 2: Next Step : Micro Learning | Python Programming Course

Instructors

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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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