Micro Learning | Python Programming 20 Basic Practice | Udemy [Update 06/2024]
English | Size: 244 MB
Genre: eLearning[/center]

Boost Your Python Skills with Bite-Sized Exercises and Hands-On Practice

What you'll 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.

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:

Hello, World! - Writing your first Python program

Variables and Data Types - Declaring variables and understanding data types

Arithmetic Operations - Performing basic arithmetic operations

Conditional Statements - Using if-else statements for decision making

Loops - Implementing for and while loops for repetitive tasks

Functions - Defining and calling functions

Strings - Manipulating and working with strings

Lists - Creating and manipulating lists

Dictionaries - Storing and retrieving data using dictionaries

File Handling - Reading from and writing to files

Exceptions - Handling exceptions and errors

Modules - Importing and using modules

List Comprehensions - Writing concise and efficient list operations

Tuples - Understanding and using tuples

Sets - Working with sets and their operations

Recursion - Implementing recursive functions

Lambda Functions - Using lambda functions for short, anonymous functions

Generators - Creating and using generators

Decorators - Understanding and applying decorators

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.

Who this course is 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.
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.

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