Python Programming Syllabus tracker

Description:

Section 1: Introduction to Python Basics

• Introduction to the Course

  • Course overview
  • Setting expectations

• Variables and Printing

  • Basics of variables
  • Printing in Python
  • Calculating the remainder of a division
  • Exercise: Variables and numbers
  • Solution: Variables and numbers

• Python Strings and Formatting

  • Working with strings
  • String formatting
  • Getting user input
  • Exercise: Communicating with users
  • Solution: Communicating with users

• Booleans and Comparisons

  • Understanding booleans
  • Logical operators (and and or)
  • Comparisons in Python
  • Exercise: Nearby friends
  • Solution: Nearby friends

• Lists, Tuples, and Sets

  • Introduction to lists
  • Tuples and sets in Python
  • Advanced set operations
  • Exercise: Working with dictionaries
  • Solution: Working with dictionaries

• Python Dictionaries

  • Overview of dictionaries
  • Length and sum operations
  • Exercise: Dictionaries
  • Solution: Dictionaries
  • Joining a list
  • Conclusion and Python Fundamentals Cheatsheet

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Section 2: Control Flow and Loops in Python

• If Statements in Python

  • Introduction to conditional statements
  • Handling multiple conditions
  • Exercise: Simple text menu
  • Solution: Simple text menu

• Loops in Python

  • While loops
  • For loops
  • Break and continue statements
  • List slicing and comprehension
  • Exercise: FizzBuzz
  • Solution: FizzBuzz

• Advanced Loop Concepts

  • The else keyword with loops
  • Finding prime numbers with loops
  • List comprehension and slicing
  • Functions in Python
  • Introduction to arguments and parameters
  • Return values and default parameters
  • Lambda functions and first-class functions
  • Advanced functions in Python

• Setting Up Python Environment

  • Installing Python
  • Setting up PyCharm
  • Creating a PyCharm project

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Section 3: Object-Oriented Programming (OOP) in Python

• Introduction to OOP with Python

  • Basics of OOP
  • Exercise: Your first Python class
  • Solution: Your first Python class

• Advanced OOP Concepts

  • More about classes and objects
  • Inheritance and decorators
  • Magic methods in Python
  • Exercise: Magic methods in Python
  • Solution: Magic methods in Python
  • @classmethod and @staticmethod
  • More examples of @classmethod and @staticmethod

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Section 4: Handling Errors in Python

• Intro to Errors in Python

  • Understanding errors
  • Built-in errors in Python
  • Raising and handling errors
  • Exercise: Raising an error
  • Solution: Raising an error

• Dealing with Python Errors

  • Creating custom errors
  • Handling errors with try-except-finally
  • Debugging with PyCharm
  • Advanced error handling in Python

• File Operations in Python

  • Working with files
  • Copying files and building a quiz system
  • CSV files and using the csv module
  • JSON files and a CSV to JSON converter
  • Using the with syntax in Python
  • Importing modules and relative imports
  • Exercise: Importing modules
  • Solution: Importing modules

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Section 5: Milestone Projects and Advanced Python Concepts

• Milestone Project 1

  • Overview and implementation
  • Introduction to databases with SQLite
  • Creating a table and inserting data
  • SELECT, UPDATE, DELETE operations
  • Filtering data with WHERE clause
  • Finishing the Milestone Project

• Typing in Python

  • Understanding type hints
  • Using type hints in Python

• Generators in Python

  • Introduction to generators
  • Exercise: Prime number generator
  • Solution: Prime number generator
  • Generator classes and iterators
  • Coding a generator class
  • Iterables and functions like filter and map
  • Section review and further exploration

• Mutability in Python

  • Understanding mutability
  • Argument mutability
  • Default values and argument unpacking
  • Queues and interesting Python collections
  • Exercise: Python collections
  • Solution: Python collections

• Dates, Times, and Regular Expressions

  • Working with timezones
  • Dates and time in Python
  • Timing code execution
  • Introduction to regular expressions
  • Examples and usage of regex in Python
  • Exercise: Secure file names using regex
  • Solution: Secure file names using regex
  • Introduction to logging in Python
  • Higher-order functions and itertools module

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Section 6: Web Scraping with Python

• HTML Parsing with BeautifulSoup

  • Understanding HTML structure
  • Parsing HTML with BeautifulSoup
  • Structuring parsing programs
  • Scraping a website with Python

• Milestone Project 2

  • Overview and implementation
  • Storing data in files
  • Using JSON for data storage
  • Extracting data from websites
  • Exercise: Web scraping project
  • Solution: Web scraping project

• Introduction to APIs and REST

  • Overview of APIs
  • Working with REST APIs
  • Making API requests with requests module
  • Exercise: Working with APIs
  • Solution: Working with APIs
  • Introduction to Web Development with Flask
  • Setting up Flask and creating a basic route

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Section 7: Web Development with Flask

• Flask Basics and Templates

  • Introduction to Flask
  • Setting up a basic Flask app
  • Flask templates and template inheritance
  • Exercise: Flask templates
  • Solution: Flask templates
  • Flask routing and redirecting
  • Serving static files and creating links
  • Using Bootstrap for styling

• Database Setup and Flask-SQLAlchemy

  • Introduction to databases in web development
  • Setting up Flask-SQLAlchemy
  • Creating models and tables
  • Database relationships
  • Adding records and querying the database

• Flask Web Forms and User Authentication

  • Introduction to web forms
  • Setting up Flask-WTF
  • Flask form handling and CSRF protection
  • User authentication with Flask-Login
  • Adding user authentication to the Flask app
  • Role-based access control (RBAC)
  • Customizing Flask-Login
  • Logging out and restricting views

• Adding AJAX to Flask Application

  • Overview of AJAX
  • Adding AJAX to a Flask application
  • Handling JSON data in Flask
  • Incorporating AJAX into Flask web forms
  • Dynamic content loading with AJAX
  • Exercise: Flask web forms with AJAX
  • Solution: Flask web forms with AJAX

• Deploying Flask Applications

  • Deployment options for Flask
  • Deploying a Flask app on Heroku
  • Containerizing a Flask app with Docker
  • Running Flask app in a container
  • Exercise: Flask app deployment
  • Solution: Flask app deployment

• Advanced Flask Topics

  • Flask extensions for different functionalities
  • Blueprinting and structuring larger applications
  • Testing Flask applications
  • Test-driven development (TDD)
  • Continuous Integration (CI) with GitHub Actions

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Section 8: GUI Development with Tkinter

• Setting up Tkinter
  • Installing and configuring Tkinter
  • Creating a basic Tkinter application
  • Using labels, fields, and frames
  • Starting a text editor project
  • Adding menus, saving, and opening files

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Section 9: Software Testing and Algorithms

• Introduction to Software Testing

  • Basics of testing functions and classes
  • Testing for errors and multiplication functions
  • Writing tests for classes and external libraries

• Algorithms and Big-O Notation

  • Overview of algorithms and complexity
  • Binary search and binary trees
  • Traversal and insertion in binary trees
  • Deleting nodes and testing the binary tree

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Section 10: Python Libraries and Tools

• Overview of Python Libraries
  • Introduction to popular Python libraries
  • Using pylint and yapf for code formatting
  • Sending emails with smtplib and Mailgun
  • Creating reusable Mailgun library
  • Overview of IDE setup

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Section 11: Course Conclusion

• Recap and Thank You
  • Summary of the course
  • Thank you for taking the course
  • Further reading and resources