Getting Started with Python Programming
( 30 Modules )

Module #1
Introduction to Python
Overview of Python, its history, features, and applications

Module #2
Setting up Python
Installing Python, setting up the environment, and basic syntax

Module #3
Basic Syntax and Data Types
Variables, data types, operators, and basic syntax in Python

Module #4
Operators and Control Structures
Arithmetic, comparison, logical, and assignment operators, if-else statements, and for loops

Module #5
Functions in Python
Defining and calling functions, function arguments, and return types

Module #6
Working with Strings
String syntax, indexing, slicing, and basic string methods

Module #7
Working with Lists
List syntax, indexing, slicing, and basic list methods

Module #8
Working with Tuples and Dictionaries
Tuple and dictionary syntax, indexing, and basic methods

Module #9
Object-Oriented Programming in Python
Classes, objects, inheritance, and polymorphism

Module #10
Working with Files in Python
Reading and writing text files, CSV files, and JSON files

Module #11
Exception Handling in Python
Try-except blocks, error types, and error handling best practices

Module #12
Debugging in Python
Using the pdb module, setting breakpoints, and debugging techniques

Module #13
Working with Modules in Python
Importing modules, creating custom modules, and package management

Module #14
Regular Expressions in Python
Pattern matching, regex syntax, and using the re module

Module #15
Working with Dates and Times in Python
Using the datetime module, formatting dates and times, and timedelta

Module #16
Data Analysis with Pandas
Introduction to Pandas, DataFrames, and basic data analysis techniques

Module #17
Data Visualization with Matplotlib
Introduction to Matplotlib, plotting basics, and visualization best practices

Module #18
Best Practices and Code Optimization
Code organization, performance optimization, and coding standards

Module #19
Working with APIs in Python
Introduction to APIs, making requests, and parsing JSON responses

Module #20
Web Development with Flask
Introduction to Flask, creating routes, and building a simple web app

Module #21
Working with CSV and Excel Files
Reading and writing CSV files, and working with Excel files using openpyxl

Module #22
Working with JSON Data
Parsing JSON data, creating JSON objects, and working with JSON files

Module #23
Advanced Topics in Python
Generators, iterators, decorators, and asynchronous programming

Module #24
Case Studies and Project Development
Applying Python skills to real-world problems and developing a project

Module #25
Python Project Development
Developing a comprehensive Python project, from design to deployment

Module #26
Debugging and Troubleshooting
Advanced debugging techniques, troubleshooting common errors

Module #27
Python Best Practices and Coding Standards
Following PEP 8, coding conventions, and best practices for code readability

Module #28
Exploring Advanced Libraries and Frameworks
Introduction to advanced libraries and frameworks, such as NumPy, SciPy, and Scikit-learn

Module #29
Python and Data Science
Introduction to data science with Python, including data visualization and machine learning

Module #30
Course Wrap-Up & Conclusion
Planning next steps in Getting Started with Python Programming career

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