Python Tutorials

Python - Integers (int)

Integer Data Type in Python

In Python, the integer data types are used to express the whole number both positive and negative without any decimal point, such that (1, 2, 3, -1, -2, etc.), the integer data types represented by the int class.

int and float are both numeric data types. But int only represents the whole number such that (1, 2, 3, etc.) while float represents the decimal number such that (1.05, 5.5, -2.5, etc).

Following is the basic declaration of int:

Count = 10 # An example of Python int.

Basic Operations with Integers

Let’s understand integers with the following basic operations: Addition (+), Subtraction (-), Multiplication (*), and Division (/).

nums1 = 20
nums2 = 10

add = nums1+nums2
print(res) # 30

mul = nums1*nums3
print(mul) # 200

sub = nums1-nums2
print(sub) # 10

div = nums1/nums2
print(div) # 2

Type Conversion and Casting of Integers

In Python, type conversion is the process of changing data types from one type to another. Here, we are converting int to other data types.

Converts int to float:

Int_num = 5
Float_num = float(Int_num) # converts 5 to 5.0

Converts int to str:

Int_num = 10
String = str(Int_num) # converts 10 to "10"

Properties of The Python Integers.

The following are the properties of the Python integer:

  • Python integers are immutable, which means their value cannot be changed after one value is assigned to the variable.
  • Unlike many programming languages, Python’s integers have large precision. You can create can represent huge integer values without worrying about the overflow.
  • Python automatically manages memory and allocates space for larger numbers.
  • Python automatically converts integers to float and vice versa in mixed-type arithmetic expressions to maintain precision.
  • Python allows for arbitrary precision arithmetic; which means you can work with extremely large integers without encountering overflow error.

Example

Let’s understand the above properties with an example:

X = 5
X = X + 5 # A new int object is created now that x points to it.
print(X)
Y = X + 2.0 # auto type conversion in float
print(Y)
nums = 10*1000 # Python handles this large number
print(nums)

Output

The above example produces the following output:
10
12.0
10000


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Python

Beginner 5 Hours

Integer Data Type in Python

In Python, the integer data types are used to express the whole number both positive and negative without any decimal point, such that (1, 2, 3, -1, -2, etc.), the integer data types represented by the int class.

int and float are both numeric data types. But int only represents the whole number such that (1, 2, 3, etc.) while float represents the decimal number such that (1.05, 5.5, -2.5, etc).

Following is the basic declaration of int:

python
Count = 10 # An example of Python int.

Basic Operations with Integers

Let’s understand integers with the following basic operations: Addition (+), Subtraction (-), Multiplication (*), and Division (/).

python
nums1 = 20
nums2 = 10

add = nums1+nums2
print(res) # 30

mul = nums1*nums3
print(mul) # 200

sub = nums1-nums2
print(sub) # 10

div = nums1/nums2
print(div) # 2

Type Conversion and Casting of Integers

In Python, type conversion is the process of changing data types from one type to another. Here, we are converting int to other data types.

Converts int to float:

python
Int_num = 5
Float_num = float(Int_num) # converts 5 to 5.0

Converts int to str:

python
Int_num = 10
String = str(Int_num) # converts 10 to "10"

Properties of The Python Integers.

The following are the properties of the Python integer:

  • Python integers are immutable, which means their value cannot be changed after one value is assigned to the variable.
  • Unlike many programming languages, Python’s integers have large precision. You can create can represent huge integer values without worrying about the overflow.
  • Python automatically manages memory and allocates space for larger numbers.
  • Python automatically converts integers to float and vice versa in mixed-type arithmetic expressions to maintain precision.
  • Python allows for arbitrary precision arithmetic; which means you can work with extremely large integers without encountering overflow error.

Example

Let’s understand the above properties with an example:

python
X = 5
X = X + 5 # A new int object is created now that x points to it.
print(X)
Y = X + 2.0 # auto type conversion in float
print(Y)
nums = 10*1000 # Python handles this large number
print(nums)

Output

The above example produces the following output:
10
12.0
10000


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Frequently Asked Questions for Python

Python is commonly used for developing websites and software, task automation, data analysis, and data visualisation. Since it's relatively easy to learn, Python has been adopted by many non-programmers, such as accountants and scientists, for a variety of everyday tasks, like organising finances.


Python's syntax is a lot closer to English and so it is easier to read and write, making it the simplest type of code to learn how to write and develop with. The readability of C++ code is weak in comparison and it is known as being a language that is a lot harder to get to grips with.

Learning Curve: Python is generally considered easier to learn for beginners due to its simplicity, while Java is more complex but provides a deeper understanding of how programming works. Performance: Java has a higher performance than Python due to its static typing and optimization by the Java Virtual Machine (JVM).

Python can be considered beginner-friendly, as it is a programming language that prioritizes readability, making it easier to understand and use. Its syntax has similarities with the English language, making it easy for novice programmers to leap into the world of development.

To start coding in Python, you need to install Python and set up your development environment. You can download Python from the official website, use Anaconda Python, or start with DataLab to get started with Python in your browser.

Learning Curve: Python is generally considered easier to learn for beginners due to its simplicity, while Java is more complex but provides a deeper understanding of how programming works.

Python alone isn't going to get you a job unless you are extremely good at it. Not that you shouldn't learn it: it's a great skill to have since python can pretty much do anything and coding it is fast and easy. It's also a great first programming language according to lots of programmers.

The point is that Java is more complicated to learn than Python. It doesn't matter the order. You will have to do some things in Java that you don't in Python. The general programming skills you learn from using either language will transfer to another.


Read on for tips on how to maximize your learning. In general, it takes around two to six months to learn the fundamentals of Python. But you can learn enough to write your first short program in a matter of minutes. Developing mastery of Python's vast array of libraries can take months or years.


6 Top Tips for Learning Python

  • Choose Your Focus. Python is a versatile language with a wide range of applications, from web development and data analysis to machine learning and artificial intelligence.
  • Practice regularly.
  • Work on real projects.
  • Join a community.
  • Don't rush.
  • Keep iterating.

The following is a step-by-step guide for beginners interested in learning Python using Windows.

  • Set up your development environment.
  • Install Python.
  • Install Visual Studio Code.
  • Install Git (optional)
  • Hello World tutorial for some Python basics.
  • Hello World tutorial for using Python with VS Code.

Best YouTube Channels to Learn Python

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Python can be written on any computer or device that has a Python interpreter installed, including desktop computers, servers, tablets, and even smartphones. However, a laptop or desktop computer is often the most convenient and efficient option for coding due to its larger screen, keyboard, and mouse.

Write your first Python programStart by writing a simple Python program, such as a classic "Hello, World!" script. This process will help you understand the syntax and structure of Python code.

  • Google's Python Class.
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  • Understand why you're learning Python. Firstly, it's important to figure out your motivations for wanting to learn Python.
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  • Build a portfolio of projects.
  • Keep challenging yourself.

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The Python interpreter and the extensive standard library are freely available in source or binary form for all major platforms from the Python website, https://www.python.org/, and may be freely distributed.

If you're looking for a lucrative and in-demand career path, you can't go wrong with Python. As one of the fastest-growing programming languages in the world, Python is an essential tool for businesses of all sizes and industries. Python is one of the most popular programming languages in the world today.

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