25scripts

Pythons Tutorials

• Introduction to Python
• Variables and Data Types
• Control flow and conditional statements
• Functions
• Lists and Loops
• Dictionaries
• File and Error Handling
• Tuples: Immutable Data Structures
• Classes and Objects
• Modules and Packages
• Comments in Python
• GUI Programming:

Variables

Think of variables as labelled containers where you can stash your information. You name these containers, toss stuff in them, and later retrieve or manipulate what’s inside. Here’s a simple example to get the hang of it:

Example: Creating and Using Variables

# Meet 'name', our variable holding the value 'Alice'
name = "Alice"

# Now, let's use the variable to create a friendly message
greeting = "Hello, " + name + "!"

# We print the greeting
print(greeting)  # Output: Hello, Alice!

Data Types

Just like you categorize your belongings, Python categorizes data using different types. Let’s explore some:

1. Numeric Data Types (Integers and Floats)

Numbers are everywhere in programming. Integers are whole numbers, while floats are numbers with decimals. Let’s see them in action:

Example: Using Numeric Variables

# Integer variable 
age = 25 
# Float variable 
temperature = 98.6

3. String Data Type (Storing Text)

Strings hold text and are often used for words, sentences, or any textual information:

Example: Using String Variables

name = "Alice" 
greeting = "Hello, Python!"

4. Boolean Data Type(True or False?)

Booleans handle binary decisions – they can be either True or False, like light switches for your code:

Example: Using Boolean Variables

is_raining = True 
is_sunny = False

5. Type Conversion and Casting: Making Sense of Different Types

Sometimes, you’ll want to transform your data. Say you want to write a number as a word – that’s where type conversion comes in:

Example: Converting Types

number = 42
number_as_string = str(number)   # Converting an integer to a string