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
7 2 3 readlines() Explained

7 2 3 readlines() Explained

Key Concepts

The readlines() method in Python is used to read all lines from a file and return them as a list of strings. The key concepts include:

1. Reading All Lines

The readlines() method reads all lines from the file and stores them in a list. Each line in the file becomes an element in the list.

Example:

file = open('example.txt', 'r')
lines = file.readlines()
file.close()

print(lines)  # Output: ['Line 1\n', 'Line 2\n', 'Line 3\n']
    

Analogy: Think of reading a book and storing each page as a separate item in a list.

2. Returning a List of Strings

The readlines() method returns a list where each element is a string representing a line from the file. This makes it easy to manipulate and process each line individually.

Example:

file = open('example.txt', 'r')
lines = file.readlines()
file.close()

for line in lines:
    print(line.strip())  # Output: Line 1, Line 2, Line 3
    

Analogy: Think of each line in the file as a separate piece of text that you can process individually.

3. Handling Large Files

When dealing with large files, using readlines() can consume a lot of memory because it loads all lines into a list. For large files, consider using a loop with readline() or iterating over the file object directly.

Example:

file = open('large_file.txt', 'r')
for line in file:
    print(line.strip())
file.close()
    

Analogy: Think of reading a large book one page at a time instead of trying to store the entire book in memory.

4. Iterating Over Lines

You can iterate over the list returned by readlines() to process each line individually. This is useful for tasks like searching for specific content or performing operations on each line.

Example:

file = open('example.txt', 'r')
lines = file.readlines()
file.close()

for line in lines:
    if 'keyword' in line:
        print(line.strip())
    

Analogy: Think of searching for a specific word in a book by checking each page individually.

Putting It All Together

By understanding and using the readlines() method effectively, you can read and process all lines from a file in Python. This method is particularly useful for smaller files or when you need to manipulate each line individually.

Example:

file = open('example.txt', 'r')
lines = file.readlines()
file.close()

for line in lines:
    print(line.strip())  # Output: Line 1, Line 2, Line 3