Python Tutorials

Python - namedtuple

Namedtuple in Python 

In Python, namedtuple is a factory function that allows us to create immutable and lightweight instances, similar to tuples, but with named fields, it improved readability and usability. This is especially useful for structuring data where attribute access by name is more easy than by index.

Key Features Of Namedtuple

There are a few key Features of the namedtuple:

  1. Field Names: It accesses the value by name, not by index.
  2. Field Names: Once the namedtuple is created it can't be changed or manipulated.
  3. Lightweight: It is more efficient than a regular tuple because it takes less memory.

Create a Namedtuple

To create a namedtuple. First, we need to import the namedtuple from the collections module.

from collections import namedtuple

Example

Let's see a code example of how we can create a named tuple and use it in the code:

from collections import namedtuple

# Define a new namedtuple type
Point = namedtuple('Point', ['x', 'y'])

# Create an instance of the namedtuple
p = Point(10, 20)

# Access fields by name
print(p.x)
print(p.y)

Output

10
20

Common Methonds and Features of Namedtuple

There are the following methods and features of namedtuple:

Default Representation

The print() function of the namedtuple includes the both class name and the field value.

print(p)

Field Access by Index

namedtuple are still tuples so you can access them by the index:

print(p[0]) 
print(p[1])

Field Names

The '_fields' attribute returns the tuple of field names.

print(Point._fields)

Field Replacement

We can use the '_replace' method to create a new namedtuple with some fields modified.

p2 = p._replace(x=30)
print(p2)
# Output: Point(x=30, y=20)

Advantages of the Namedtuple

There are a few advantages and Applications of it:

  • Readable Code: Using the named field instead of index makes code more readable.
  • Structured Data: Useful in cases where you need a lightweight class-like structure without the overhead of a full class definition.
  • Return Value: Namedtuple is often used as a return type for functions that return multiple values.

Example

Suppose you have a function that calculates the area and perimeter of a rectangle. Instead of just returning a plain tuple, you can use a namedtuple:

from collections import namedtuple

Rectangle = namedtuple('Rectangle', ['area', 'perimeter'])

def calculate_rectangle(length, width):
    area = length * width
    perimeter = 2 * (length + width)
    return Rectangle(area, perimeter)

result = calculate_rectangle(5, 10)
print(result)
print(result.area)
print(result.perimeter)

Output

Rectangle(area=50, perimeter=30)
50
30

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Python

Beginner 5 Hours

Namedtuple in Python 

In Python, namedtuple is a factory function that allows us to create immutable and lightweight instances, similar to tuples, but with named fields, it improved readability and usability. This is especially useful for structuring data where attribute access by name is more easy than by index.

Key Features Of Namedtuple

There are a few key Features of the namedtuple:

  1. Field Names: It accesses the value by name, not by index.
  2. Field Names: Once the namedtuple is created it can't be changed or manipulated.
  3. Lightweight: It is more efficient than a regular tuple because it takes less memory.

Create a Namedtuple

To create a namedtuple. First, we need to import the namedtuple from the collections module.

python
from collections import namedtuple

Example

Let's see a code example of how we can create a named tuple and use it in the code:

python
from collections import namedtuple

# Define a new namedtuple type
Point = namedtuple('Point', ['x', 'y'])

# Create an instance of the namedtuple
p = Point(10, 20)

# Access fields by name
print(p.x)
print(p.y)

Output

10
20

Common Methonds and Features of Namedtuple

There are the following methods and features of namedtuple:

Default Representation

The print() function of the namedtuple includes the both class name and the field value.

python
print(p)

Field Access by Index

namedtuple are still tuples so you can access them by the index:

python
print(p[0]) 
print(p[1])

Field Names

The '_fields' attribute returns the tuple of field names.

python
print(Point._fields)

Field Replacement

We can use the '_replace' method to create a new namedtuple with some fields modified.

python
p2 = p._replace(x=30)
print(p2)
# Output: Point(x=30, y=20)

Advantages of the Namedtuple

There are a few advantages and Applications of it:

  • Readable Code: Using the named field instead of index makes code more readable.
  • Structured Data: Useful in cases where you need a lightweight class-like structure without the overhead of a full class definition.
  • Return Value: Namedtuple is often used as a return type for functions that return multiple values.

Example

Suppose you have a function that calculates the area and perimeter of a rectangle. Instead of just returning a plain tuple, you can use a namedtuple:

python
from collections import namedtuple

Rectangle = namedtuple('Rectangle', ['area', 'perimeter'])

def calculate_rectangle(length, width):
    area = length * width
    perimeter = 2 * (length + width)
    return Rectangle(area, perimeter)

result = calculate_rectangle(5, 10)
print(result)
print(result.area)
print(result.perimeter)

Output

Rectangle(area=50, perimeter=30)
50
30

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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.
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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.
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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.

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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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