Micro Learning – Python Programming
Free Download Micro Learning – Python Programming
Published 6/2024
Created by CloudMatrix Learning
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 76 Lectures ( 3h 2m ) | Size: 632 MB
The Python Micro Learning Course
What you'll learn:
Understand the basic concepts and syntax of Python Write simple Python programs using variables, data types, and basic operations
Use conditional statements and loops to control the flow of their programs
Define and use functions to organize and reuse code
Read from and write to files using Python
Handle exceptions and errors gracefully
Create and use custom modules and packages
Understand the basics of object-oriented programming (OOP) in Python
Perform basic data processing and visualization using NumPy, Pandas, and matplotlib
Create simple web applications using Flask
Requirements:
While no prior programming experience is required, learners should have a basic understanding of computer literacy and be comfortable using a text editor or an integrated development environment (IDE) to write and run Python code.
Description:
This Python Microlearning course aims to introduce learners to the basics and advanced features of Python through short, easily digestible lessons. Below is a proposed curriculum covering key areas of Python.Curriculum1. Introduction to PythonWhat is Python and its applications?Installing and setting up PythonWriting the first Python program: "Hello, World!"2. Basic Syntax and Data StructuresVariables and data typesLists, tuples, and dictionariesBasic operations with lists and dictionaries3. Conditional Statements and LoopsIf-else structuresFor and while loopsList comprehensions4. FunctionsDefining and calling functionsArguments and return valuesLambda functions5. File HandlingOpening, reading, and writing filesUsing context managers6. Exception HandlingTry-except structuresDefining custom exceptions7. Object-Oriented Programming (OOP)Classes and objectsMethods and propertiesInheritance and polymorphism8. Python Modules and PackagesCreating custom modulesUsing built-in modulesInstalling and using external packages (pip)9. Data Processing and VisualizationNumPy and Pandas basicsSimple data visualization with matplotlib10. Basics of Web ApplicationsFlask basicsCreating a simple APIEach Lesson ContentBrief Description: Introduction to the topicPractical Example: Code examples and explanationsExercises: Small practical tasks to deepen understandingQuiz: Short quiz to check comprehension
Who this course is for:
The course is suitable for beginners with little to no programming experience, as well as those who want to refresh their Python skills or learn new techniques.
Homepage
https://www.udemy.com/course/micro-learning-python-programming/Rapidgator
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