Python Training , study and exam guide
1 Introduction to Python
1.1 What is Python?
1.2 History of Python
1.3 Features of Python
1.4 Python Applications
1.5 Setting up the Python Environment
1.6 Running Your First Python Program
2 Python Basics
2.1 Python Syntax and Indentation
2.2 Variables and Data Types
2.2 1 Numbers
2.2 2 Strings
2.2 3 Lists
2.2 4 Tuples
2.2 5 Sets
2.2 6 Dictionaries
2.3 Operators
2.3 1 Arithmetic Operators
2.3 2 Comparison Operators
2.3 3 Logical Operators
2.3 4 Assignment Operators
2.3 5 Membership Operators
2.3 6 Identity Operators
2.4 Input and Output
2.4 1 Input Function
2.4 2 Output Function
2.5 Comments
2.5 1 Single-line Comments
2.5 2 Multi-line Comments
3 Control Flow
3.1 Conditional Statements
3.1 1 If Statement
3.1 2 If-Else Statement
3.1 3 Elif Statement
3.1 4 Nested If Statements
3.2 Loops
3.2 1 For Loop
3.2 2 While Loop
3.2 3 Nested Loops
3.3 Loop Control Statements
3.3 1 Break Statement
3.3 2 Continue Statement
3.3 3 Pass Statement
4 Functions
4.1 Defining Functions
4.2 Function Arguments
4.2 1 Positional Arguments
4.2 2 Keyword Arguments
4.2 3 Default Arguments
4.2 4 Variable-length Arguments
4.3 Return Statement
4.4 Lambda Functions
4.5 Scope of Variables
4.5 1 Local Variables
4.5 2 Global Variables
4.6 Recursion
5 Data Structures
5.1 Lists
5.1 1 List Operations
5.1 2 List Methods
5.1 3 List Comprehensions
5.2 Tuples
5.2 1 Tuple Operations
5.2 2 Tuple Methods
5.3 Sets
5.3 1 Set Operations
5.3 2 Set Methods
5.4 Dictionaries
5.4 1 Dictionary Operations
5.4 2 Dictionary Methods
5.5 Advanced Data Structures
5.5 1 Stacks
5.5 2 Queues
5.5 3 Linked Lists
6 Modules and Packages
6.1 Importing Modules
6.2 Creating Modules
6.3 Standard Library Modules
6.3 1 Math Module
6.3 2 Random Module
6.3 3 DateTime Module
6.4 Creating Packages
6.5 Installing External Packages
7 File Handling
7.1 Opening and Closing Files
7.2 Reading from Files
7.2 1 read()
7.2 2 readline()
7.2 3 readlines()
7.3 Writing to Files
7.3 1 write()
7.3 2 writelines()
7.4 File Modes
7.5 Working with CSV Files
7.6 Working with JSON Files
8 Exception Handling
8.1 Try and Except Blocks
8.2 Handling Multiple Exceptions
8.3 Finally Block
8.4 Raising Exceptions
8.5 Custom Exceptions
9 Object-Oriented Programming (OOP)
9.1 Classes and Objects
9.2 Attributes and Methods
9.3 Constructors and Destructors
9.4 Inheritance
9.4 1 Single Inheritance
9.4 2 Multiple Inheritance
9.4 3 Multilevel Inheritance
9.5 Polymorphism
9.6 Encapsulation
9.7 Abstraction
10 Working with Libraries
10.1 NumPy
10.1 1 Introduction to NumPy
10.1 2 Creating NumPy Arrays
10.1 3 Array Operations
10.2 Pandas
10.2 1 Introduction to Pandas
10.2 2 DataFrames and Series
10.2 3 Data Manipulation
10.3 Matplotlib
10.3 1 Introduction to Matplotlib
10.3 2 Plotting Graphs
10.3 3 Customizing Plots
10.4 Scikit-learn
10.4 1 Introduction to Scikit-learn
10.4 2 Machine Learning Basics
10.4 3 Model Training and Evaluation
11 Web Development with Python
11.1 Introduction to Web Development
11.2 Flask Framework
11.2 1 Setting Up Flask
11.2 2 Routing
11.2 3 Templates
11.2 4 Forms and Validation
11.3 Django Framework
11.3 1 Setting Up Django
11.3 2 Models and Databases
11.3 3 Views and Templates
11.3 4 Forms and Authentication
12 Final Exam Preparation
12.1 Review of Key Concepts
12.2 Practice Questions
12.3 Mock Exams
12.4 Exam Tips and Strategies
Python Training: Strings

Python Training: Strings

Key Concepts Related to Strings

Strings in Python are sequences of characters, enclosed in single quotes (' '), double quotes (" "), or triple quotes (''' ''' or """ """). They are immutable, meaning once created, their content cannot be changed. Python provides various methods and operations to manipulate strings efficiently.

1. String Creation

Strings can be created using single quotes, double quotes, or triple quotes. Triple quotes are often used for multi-line strings.

# Single quotes
single_quote_string = 'Hello, World!'

# Double quotes
double_quote_string = "Python is fun!"

# Triple quotes
triple_quote_string = '''This is a
multi-line
string.'''
    

2. String Indexing and Slicing

Strings can be indexed and sliced to access specific characters or substrings. Indexing starts at 0, and negative indexing starts from the end of the string.

sample_string = "Python"

# Indexing
first_char = sample_string[0]  # Output: 'P'
last_char = sample_string[-1]  # Output: 'n'

# Slicing
substring = sample_string[1:4]  # Output: 'yth'
    

3. String Methods

Python provides numerous built-in methods to manipulate strings. Some commonly used methods include upper(), lower(), replace(), and split().

text = "Hello, Python!"

# Convert to uppercase
upper_text = text.upper()  # Output: 'HELLO, PYTHON!'

# Convert to lowercase
lower_text = text.lower()  # Output: 'hello, python!'

# Replace a substring
replaced_text = text.replace("Python", "World")  # Output: 'Hello, World!'

# Split the string into a list
split_text = text.split(", ")  # Output: ['Hello', 'Python!']
    

4. String Concatenation and Repetition

Strings can be concatenated using the '+' operator and repeated using the '*' operator.

str1 = "Hello"
str2 = "World"

# Concatenation
concatenated_string = str1 + ", " + str2  # Output: 'Hello, World'

# Repetition
repeated_string = str1 * 3  # Output: 'HelloHelloHello'
    

5. Escape Sequences

Escape sequences are used to include special characters in strings. Common escape sequences include \n for a newline and \t for a tab.

escaped_string = "Hello\nWorld\tPython"

# Output:
# Hello
# World   Python
    

6. String Formatting

String formatting allows you to insert variables into strings. Python supports multiple formatting methods, including the format() method and f-strings (Python 3.6+).

name = "Alice"
age = 25

# Using format() method
formatted_string = "My name is {} and I am {} years old.".format(name, age)

# Using f-string (Python 3.6+)
f_string = f"My name is {name} and I am {age} years old."