1-Month Python Course: 24-Hour Curriculum
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Level 1: Fundamentals of Python
Topic 1: Introduction to Python
Overview of Python and its applications, Setting up the Python environment (installing Python, IDEs), Writing your first Python program
Topic 2: Basic Syntax and Data Types
Python syntax and comments, Variables and data types (integers, floats, strings), Type conversion
Topic 3: Basic Operators
Arithmetic, comparison, and logical operators, Assignment operators, Operator precedence
Topic 4: Strings and String Methods
String manipulation and formatting, Common string methods (split, join, replace, etc.)
Topic 5: Control Structures
Conditional statements (if, elif, else), Loops (for, while), Break and continue statements
Topic 6: Functions and Modules
Defining and calling functions, Function arguments and return values, Importing and using modules
Level 2: Intermediate Python Concepts
Topic 7: Data Structures - Lists
Creating and accessing lists, List methods and operations (append, remove, slicing)
Topic 8: Data Structures - Tuples and Sets
Creating and using tuples, Set operations and methods
Topic 9: Data Structures - Dictionaries
Creating and accessing dictionaries, Dictionary methods and operations
Topic 10: File Handling
Reading from and writing to files, File modes and handling exceptions
Topic 11: Error Handling
Exception handling (try, except, finally), Custom exceptions
Topic 12: Introduction to Libraries
Overview of Python standard libraries, Working with the math and datetime libraries
Level 3: Advanced Python Concepts
Topic 13: Object-Oriented Programming (OOP)
Introduction to OOP, Creating classes and objects, Attributes and methods
Topic 14: Advanced OOP Concepts
Inheritance, Polymorphism, Encapsulation
Topic 15: Working with External Libraries
Introduction to NumPy, Basic operations with NumPy arrays
Topic 16: Data Analysis with Pandas
Introduction to Pandas, Creating and manipulating DataFrames
Topic 17: Data Visualization with Matplotlib
Introduction to Matplotlib, Creating basic plots (line, bar, scatter)
Topic 18: Working with APIs
Introduction to APIs, Making HTTP requests with requests library, Parsing JSON data
Level 4: Practical Applications and Projects
Topic 19: Web Scraping
Introduction to web scraping, Using BeautifulSoup to scrape web data
Topic 20: Automation with Python
Automating tasks with Python scripts, Scheduling tasks with schedule library
Topic 21: GUI Development with Tkinter
Introduction to Tkinter, Creating a simple GUI application
Topic 22: Basic Data Science Project
Loading and cleaning data, Performing exploratory data analysis
Topic 23: Basic Web Development with Flask
Introduction to Flask, Creating a simple web application
Topic 24: Final Project and Review
Work on a comprehensive project integrating the concepts learned, Review and Q&A session, Best practices and next steps for continued learning