Python Mastery: From "Novice to Ninja"

Übersicht

Welcome to Python

Lehrplan

• Introduction to Python
Overview of Python and its applications
Setting up the Python development environment
• Python Basics
Syntax and Semantics
Variables and Data Types
Basic Input and Output
Operators and Expressions
• Control Flow
Conditional Statements
Loops (for, while)
Break, Continue, and Pass
• Data Structures
Lists
Tuples
Sets
Dictionaries
• Functions and Modules
Defining and Calling Functions
Function Arguments and Return Values
Lambda Functions
Importing and Using Modules
• File Handling
Reading and Writing Files
Working with CSV and JSON files
Exception Handling
• Object-Oriented Programming (OOP)
Classes and Objects
Inheritance and Polymorphism
Encapsulation
• Advanced Python Concepts
List Comprehensions
Generators and Iterators
Decorators and Context Managers
• Working with Libraries
NumPy for Numerical Computing
Pandas for Data Analysis
Matplotlib and Seaborn for Data Visualization
• Python for Data Science
Data Cleaning and Preprocessing
Exploratory Data Analysis
Building Simple Machine Learning Models
• Best Practices
Code Style and Documentation
Writing Unit Tests
Debugging Techniques
• Capstone Project
Develop a comprehensive project to demonstrate Python skills
Apply various Python concepts learned throughout the course

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Unterrichtet von

infusion X

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Fachgebiete

Computer Science