Language: English (US)
Boost Your Python Skills with Bite-Sized Exercises and Hands-On Practice
https://www.udemy.com/course/micro-learning-python-programming-20-basic-practice/
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.
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