DIPLOMA IN PYTHON PROGRAMMING ( S-SKC005 )

CODING IN PYTHON

DIPLOMA IN PYTHON:

1.INTRODUCTION

• HOME: AN OVERVIEW OF ITS HISTORY AND PHILOSOPHY.
• FEATURES: KEY FEATURES LIKE SIMPLICITY, VERSATILITY, AND READABILITY.
• BASIC SYNTAX: FUNDAMENTAL RULES FOR WRITING CODE.
• VARIABLES: STORING AND MANAGING DATA.
• DATA TYPES: CORE TYPES LIKE INTEGERS, FLOATS, AND BOOLEANS.
• OPERATORS: ARITHMETIC, COMPARISON, AND LOGICAL OPERATORS.
• USER INPUT: ACCEPTING USER DATA.

2. CONTROL STATEMENTS

• CONTROL FLOW: THE ORDER IN WHICH CODE EXECUTES.
• DECISION MAKING: BRANCHING CODE WITH IF, ELIF, AND ELSE.
• IF STATEMENT: CONDITIONAL EXECUTION.
• IF-ELSE: HANDLING BOTH TRUE AND FALSE CONDITIONS.
• NESTED IF: IF STATEMENTS INSIDE OTHER IF STATEMENTS.
• MATCH-CASE: A STRUCTURED WAY TO HANDLE MULTIPLE CONDITIONS.
• LOOPS: REPEATING CODE BLOCKS.
• FOR LOOPS: ITERATING OVER SEQUENCES.
• WHILE LOOPS: REPEATING AS LONG AS A CONDITION IS TRUE.
• BREAK, CONTINUE, PASS: MODIFYING LOOP BEHAVIOR

3. FUNCTIONS & MODULE

• FUNCTIONS: REUSABLE BLOCKS OF CODE.
• ARGUMENTS: PASSING DATA TO FUNCTIONS.
• MODULES: ORGANIZING CODE INTO FILES.
• BUILT-IN FUNCTIONS: COMMON FUNCTIONS AVAILABLE BY DEFAULT
• LAMBDA: CREATES A SMALL, ANONYMOUS FUNCTION.
• MATH: PROVIDES ACCESS TO MATHEMATICAL FUNCTIONS AND CONSTANTS.

4. DATA STRUCTURES: COLLECTION

• STRINGS: SEQUENCES OF CHARACTERS.
• LISTS: ORDERED, MUTABLE COLLECTIONS.
• TUPLES: ORDERED, IMMUTABLE COLLECTIONS.
• SETS: UNORDERED COLLECTIONS OF UNIQUE ITEMS.
• DICTIONARIES: KEY-VALUE PAIRS
• ARRAYS: A MORE EFFICIENT LIST FOR CERTAIN DATA TYPES
• MAP: APPLIES A FUNCTION TO ALL ITEMS IN AN ITERABLE.

5. FILE HANDLING & I/O

• FILE HANDLING: READING FROM AND WRITING TO FILES.
• FILE OPERATIONS: RENAMING, DELETING, AND MANAGING FILES AND DIRECTORIES.

6. OBJECT-ORIENTED PROGRAMMING (OOP)

• CLASSES & OBJECTS: THE FOUNDATION OF OOP.
• CONSTRUCTORS: INITIALIZING OBJECTS WITH   INIT  .
• INHERITANCE: CREATING A NEW CLASS FROM AN EXISTING ONE.
• POLYMORPHISM: OBJECTS OF DIFFERENT CLASSES WITH A COMMON INTERFACE.
• ENCAPSULATION: BUNDLING DATA AND METHODS, AND CONTROLLING ACCESS.
• ABSTRACTION: HIDING IMPLEMENTATION DETAILS.
• METHOD OVERRIDING & OVERLOADING: CUSTOMIZING INHERITED METHODS AND SIMULATING DIFFERENT FUNCTION BEHAVIORS.

7. ERRORS & EXCEPTIONS

• SYNTAX ERRORS: MISTAKES IN CODE STRUCTURE.
• EXCEPTIONS: ERRORS THAT OCCUR DURING EXECUTION.
• TRY-EXCEPT BLOCK: HANDLING EXCEPTIONS GRACEFULLY.
• TRY-FINALLY BLOCK: ENSURING CODE RUNS NO MATTER WHAT.
• RAISING EXCEPTIONS: MANUALLY TRIGGERING ERRORS.

8. CONCURRENCY

• MULTITHREADING: RUNNING MULTIPLE TASKS CONCURRENTLY.
• THREAD LIFE CYCLE: THE VARIOUS STATES OF A THREAD.
• CREATING AND MANAGING THREADS: STARTING, JOINING, AND NAMING THREADS.

9. FLASK IN PYTHON

• BASIC HTML, CSS
• SQL CONNECTION IN PYTHON
• WEB PAGE WITH PYTHON