Python Programming

Learn the fundamentals of Python programming including program structure, basic elements, control flow, error handling, and the concepts of iteration and recursion.

Key Topics:

• Overview of Programming and Structure of a Python Program
• Elements of Python – Variables, Data Types, and Identifiers
• Python Interpreter and Using Python as Calculator
• Python Shell and Understanding Indentation
• Atoms, Identifiers, and Keywords in Python
• Comments, Literals, and Strings
• Operators in Python (Arithmetic, Logical, Relational, etc.)
• Input and Output Statements
• Control Statements – Branching, Looping, and Conditional Statements
• Exit Function and Difference between break, continue, and pass
• Errors and Exceptions Handling
• Iteration and Recursion Concepts
• Conditional Execution and Alternative Execution
• Nested Conditionals and The Return Statement

Master conditional and looping constructs, learn to define and use functions, work with built-in and user-defined functions, and explore Python modules.

Key Topics:

• if-else Statement and Nested if-else
• while Loop and for Loop
• Use of range() Function in for Loops
• Nested Loops – Concept and Applications
• break, continue, and pass Statements
• Use of Compound Expressions in Conditional Constructs
• Modules – Importing Entire Module or Selected Objects
• Functions from math, random, time, and date Modules
• Defining and Invoking Functions
• Built-In Functions vs User-Defined Functions
• Default Arguments and Passing Parameters
• Default Parameter Values and Keyword Arguments
• Scope of Variables (Local and Global)
• Void Functions and Functions Returning Values

Explore string manipulation, list operations, list comprehensions, and understand the immutable nature of tuples with various operations and methods.

Key Topics:

• Introduction to Strings and Working with Text
• Creating Strings of Characters
• Using Special Characters and Creating Multiline Strings
• String Operators: +, *, in, not in, Indexing, Slicing
• String Built-in Functions: len, capitalize, find, isalnum, isalpha, isdigit
• String Methods: lower, upper, isupper, islower, lstrip, rstrip, isspace, istitle
• Advanced String Methods: partition, replace, join, split, count
• encode, decode, and swapcase Methods
• String Constants
• Lists – Concept of Mutable Lists
• Creating, Initializing, and Accessing List Elements
• List Operations: Concatenation, Repetition, Membership, Slicing
• List Comprehensions
• List Methods: len, insert, append, extend, sort, remove, reverse, pop
• Tuples – Immutable Concept
• Creating, Initializing, and Accessing Tuple Elements
• Tuple Functions and Operations

Learn about sets and their operations, understand dictionaries with key-value pairs, and get introduced to NumPy arrays and their properties for scientific computing.

Key Topics:

• Concept of Sets in Python
• Creating, Initializing, and Accessing Set Elements
• Set Operations and Methods
• Dictionaries – Concept of Key-Value Pairs
• Creating, Initializing, and Accessing Dictionary Elements
• Traversing Through Dictionaries
• Appending, Updating, and Deleting Dictionary Elements
• Dictionary Methods and Operations
• Introduction to NumPy Library
• Installing NumPy
• Array Creation and Printing Arrays
• Array Attributes: ndim, shape, size
• Data Type Properties: dtype, itemsize, and data
• Basic NumPy Array Operations