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Advanced Programming with Python and JavaScript
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18 Sections
54 Lessons
10
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Course Introduction & Python Setup
3
1.0
Overview of Python and its applications
1.1
Installing Python and setting up the IDE (e.g., PyCharm, VS Code)
1.2
Writing your first Python program
Python Basics
3
2.0
Variables and data types (integers, floats, strings, booleans)
2.1
Basic operations (arithmetic, comparison, assignment)
2.2
Input/output operations
Control Structures
3
3.0
Conditional statements (if, elif, else)
3.1
Loops (for, while)
3.2
Understanding indentation and code blocks
Lists and Tuples
3
4.0
Introduction to lists and tuples
4.1
List operations (indexing, slicing, adding, removing)
4.2
Looping through lists and tuples
Dictionaries and Sets
3
5.0
Introduction to dictionaries (key-value pairs)
5.1
Dictionary operations (adding, updating, removing items)
5.2
Introduction to sets and set operations
Functions
3
6.0
Defining and calling functions
6.1
Function arguments and return values
6.2
Scope of variables (local vs. global)
Advanced List Operations
3
7.0
List comprehensions
7.1
Nested lists
7.2
Sorting and filtering lists
File Handling
3
8.0
Opening and closing files
8.1
Reading and writing text files
8.2
Working with file paths and directories
Exception Handling
3
9.0
Introduction to try, except, and finally blocks
9.1
Handling different types of exceptions
9.2
Raising exceptions in your own code
Introduction to OOP Concepts
3
10.0
Introduction to classes and objects
10.1
Attributes and methods
10.2
Creating and using objects in Python
Inheritance and Polymorphism
3
11.0
Understanding inheritance
11.1
Method overriding and polymorphism
11.2
Using super() to extend functionality
Working with Modules and Packages
3
12.0
Importing modules and using built-in libraries
12.1
Creating custom modules
12.2
Understanding packages and their structure
Exploring Python Libraries
3
13.0
Introduction to Python libraries (e.g., NumPy, pandas)
13.1
Installing and using external libraries
13.2
Overview of standard library modules
Real-World Application: Automating Tasks
3
14.0
Automating repetitive tasks with Python scripts
14.1
Working with files and directories
14.2
Automating web tasks (e.g., web scraping with BeautifulSoup)
Data Processing and Analysis
3
15.0
Reading and processing data files (e.g., CSV, JSON)
15.1
Basic data analysis with pandas
15.2
Visualizing data with matplotlib
Final Project Planning
3
16.0
Project requirements and expectations
16.1
Project planning and design
16.2
Setting up the project structure
Project Development
3
17.0
Implementing project features
17.1
Troubleshooting and debugging
17.2
Peer review and feedback
Project Presentations and Course Review
3
18.0
Student project presentations
18.1
Peer and instructor feedback
18.2
Review of key concepts and advanced Python topics
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