Programming Fundamentals Syllabus
Introduction to programming concepts, problem solving, and logic building using a high-level language.
Programming Fundamentals Outline
This outline provides a clear structure of essential programming concepts β from logic design to Python implementation.
I. Algorithms, Flowcharts, Pseudocode & Dry Run
- Algorithm: Step-by-step instructions to solve a problem.
- Flowchart: Visual representation of logic using symbols.
- Pseudocode: English-like structure for planning logic.
- Dry Run: Manually tracing code to verify correctness.
II. Introduction to Python
- Overview of Python: History, creator, and main features.
- Why Python? Easy to learn, readable, and portable.
- Compiler vs Interpreter: Explains how code executes.
- Python Syntax Basics: Indentation and structure rules.
- Comments: Writing helpful notes within code.
- Variables: Dynamic typing and naming rules.
- Data Types & Type Casting: Converting between int, float, str, etc.
- Multiple Assignment & Unpacking: Assigning values efficiently.
- Printing Output: Displaying and formatting information.
III. Conditions in Python
- Concept of Conditions: Decision-making in programs.
- Comparison Operators: Compare values in expressions.
- If Statement: Runs code when condition is true.
- If-Else Statement: Handles both true and false outcomes.
- Elif Statement: Checks multiple conditions in order.
- Arithmetic Operators: Perform mathematical operations.
- Assignment Operators: Update or modify variable values.
- Logical Operators: Combine multiple conditions.
- Best Practices: Keep logic readable and organized.
IV. Loops in Python
- Concept of Loops: Automating repetition of tasks.
- For Loop: Iterates over sequences like lists and ranges.
- While Loop: Runs until a condition becomes false.
- Break Statement: Exits a loop before completion.
- Continue Statement: Skips to the next iteration.
- Else in Loops: Executes when loop ends normally.
- Infinite Loops: Loops that never end unless stopped.
- Loop Summary: Comparison between for and while.
- Key Takeaways: Loops provide control and efficiency.
V. Python Strings
- Concept of Strings: Text enclosed in quotes.
- Accessing Characters: Use indexes and slicing.
- String Operations: Join, repeat, and test membership.
- String Functions: Use built-in tools for manipulation.
- String Immutability: Strings cannot be modified directly.
- Common String Methods: Changing case, splitting, counting, etc.
- Best Practices: Maintain clarity and consistency in text handling.
End of Outline β Programming Fundamentals builds the logical foundation for advanced programming.