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Rebecca-254
Rebecca-254

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Day 3: python data type.

#programming #webdev #beginners #python

Today i went through something every programmer must understand deeply "data types". Not just in theory, but to use them practically with arrays (lists) and simple logic.

so what are data types in python

In Python, I learnt that everything is an object and every object has a type.
Data types are just the “kind” of information your code is working with.

Whether it’s a name, a number, a yes/no response, or even a list of items Python wants to know: “What type of data is this?”

common data types in python

  1. Integer 'int'

This are digits. They are whole numbers either negative or positive. For example

Points=[7][5][8][6][9] #list of integers.
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  1. Float 'float'

This are used to show numbers with decimal points. For example

Temperature= 36.7
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3.string 'str'

This is used in any text inside a quote. Can be a number, name or even emojis. For example

Name= "Rebecca"
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4.Boolean 'bool'

This used in logic values. Either true or false. Suitable for conditions. For example

is-coding-cool=true
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  1. List 'list'

This is just a collection of multiple items in a single variable. One can mix items too. For example

my_list = [10, "apple", True, 3.5] print(type(my_list)) # <class 'list'>
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  1. Tuples 'tuple' This one is the same as list but in this case can not be changed. For example 
my_birthdate = (2004, 6, 23)
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  1. Dictionary 'doct' Is just collection of key-value pairs — like mini-databases. For example 
student = {"name": "Rebecca", "age": 21}
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  1. Set 'set'

Is an unordered collection of unique values where duplicates are ignored. For example

unique_numbers = {1, 2, 2, 3}
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It gives 1,2,3 as the results.
For better understanding.
https://www.geeksforgeeks.org/python/python-data-types/

summary

a summary block diagram on data tupes

What are arrays?

Basically , it is like a box with many compartments, where you can store multiple values without creating separate variables. For example

students = ["Alice", "Brian", "Clare"]
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While using python to deal with arrays I learned that one can use three formats.

  1. Python list
  2. Array modules
  3. Numpy arrays.

1. Using Python Lists

Python can use lists like arrays. This is how it works step by by step

Create a list eg

fruits = ["apple", "banana", "orange"]

Access items eg

print(fruits[0]) # The first item is apple.

Add items eg

fruits.append("mango")

Change items eg

fruits[1] = "coffee" # Replaces banana with coffee

Remove items eg

fruits.remove("apple")

Loop through items

for fruit in fruits:
print(fruit)

2. Using the array Module

When one is dealing with numbers only, can use the array module.this is the way.

import array example

marks = array.array('i', [60, 70, 80]) marks.append(90) print(marks[2])
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3. Using NumPy Arrays

When doing math, statistics, or big data, one should use NumPy arrays. Example

import numpy as np nums = np.array([1, 2, 3, 4]) print(nums * 2)
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What I tried

I opened my VS Code and wrote simple examples for each type.
Then printed the type using type() and played with changing values. Like

  1. Adding integers and floats
  2. Joining strings
  3. Creating a list of my favorite colors 4.Creating a dictionary for a student profile

It felt great seeing Python understand what I meant just by using the right type.

Thanks for reading
If you’ve just started learning Python, feel free to reach out or comment below. Let’s grow together

GitHub: Rebecca-254

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