Sam  Son

Sam Son


How to Merge Two Lists and Sort it in Python

Merging two lists using list. If we want to extend any existing list by concatenating the contents of any other lists to it.

When you want to take two data sets, a pair of lists in our case, merging them into a single sequence is a common task. It’s also a task that can be performed in many different ways, depending on circumstances.

We’re going to demonstrate two separate ways to take two existing lists and create a third that is the combination of present values.

Using List Concatenation

The first method is to concatenate the two lists together. The term concatenate means to link or chain things together. We often see this in strings.

For example, concatenating a first and last name together with a space in between: first_name + " " + last_name. In this example, the plus sign is our concatenation operator.

While not true in all languages, in Python, the plus sign also enables lists to be concatenated.

a = [1,2,3,4,5]
b = [6,7,8,9,0]

c = a + b
print(c) # [1, 2, 3, 4, 5, 6, 7, 8, 9, 0]

Using the Splat Operator

An alternative to concatenation is to use the splat operator * within a list comprehension.

You may have seen the asterisk used in *args or **kwargs— those aren’t special Python variables, they are standard-named variables with the splat operator.

This operator will “unpack” a complex data type such as a list or dictionary. To achieve our merged list, the lists to be merged will be “splatted” within a list comprehension.

a = [1,2,3,4,5]
b = [6,7,8,9,0]

c = [*a, *b]
print(c) # a = [starter,2,3,4,5]
b = [6,7,8,9,0]

c = [*a, *b]
print(c) # [1, 2, 3, 4, 5, 6, 7, 8, 9, 0]

So, Which Is Better?

Well, that depends. In terms of simplicity of code, the concatenation operator reigns supreme. It doesn’t get any more clear than a single operator that is also common among other data types.

However, for a small amount of additional syntax, using list comprehension as a high-level requirement and, as a result, the splat operator, will yield a significantly higher amount of flexibility and control.

For example, what if we also have a literal we’d like to add to our merged list?

a = [1,2,3]
b = [5,6,7]

c = a + 4 + b
print(c) # TypeError: can only concatenate list (not "int") to list

We cannot easily add to our merge. In fact, the literal 4 would need to be wrapped as a list for this technique to work.

Conversely, with list comprehension and the splat operator, we have no trouble.

a = [1,2,3]
b = [5,6,7]

c = [*a, 4, *b]
print(c) # [1, 2, 3, 4, 5, 6, 7]

Which technique do you prefer and why? Leave your comments and feedback! Thank you for reading !

#Python #Programming #Data Science #Coding #python

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How to Merge Two Lists and Sort it in Python
Ray  Patel

Ray Patel


top 30 Python Tips and Tricks for Beginners

Welcome to my Blog , In this article, you are going to learn the top 10 python tips and tricks.

1) swap two numbers.

2) Reversing a string in Python.

3) Create a single string from all the elements in list.

4) Chaining Of Comparison Operators.

5) Print The File Path Of Imported Modules.

6) Return Multiple Values From Functions.

7) Find The Most Frequent Value In A List.

8) Check The Memory Usage Of An Object.

#python #python hacks tricks #python learning tips #python programming tricks #python tips #python tips and tricks #python tips and tricks advanced #python tips and tricks for beginners #python tips tricks and techniques #python tutorial #tips and tricks in python #tips to learn python #top 30 python tips and tricks for beginners

Ray  Patel

Ray Patel


Lambda, Map, Filter functions in python

Welcome to my Blog, In this article, we will learn python lambda function, Map function, and filter function.

Lambda function in python: Lambda is a one line anonymous function and lambda takes any number of arguments but can only have one expression and python lambda syntax is

Syntax: x = lambda arguments : expression

Now i will show you some python lambda function examples:

#python #anonymous function python #filter function in python #lambda #lambda python 3 #map python #python filter #python filter lambda #python lambda #python lambda examples #python map

Python Tips and Tricks for Competitive Programming

Python Programming language makes everything easier and straightforward. Effective use of its built-in libraries can save a lot of time and help with faster submissions while doing Competitive Programming. Below are few such useful tricks that every Pythonist should have at their fingertips:

  • **Converting a number into a List of digits using map() Function: **

Below is the implementation to convert a given number into a list of digits:

#competitive programming #python programs #python-itertools #python-library #python-list #python-list-of-lists #python-map

Osiki  Douglas

Osiki Douglas


The anatomy of Python Lists

An easy guide to summarize the most common methods and operations regarding list manipulation in Python.

Python lists are a built-in type of data used to store items of any data type such as strings, integers, booleans, or any sort of objects, into a single variable.

Lists are created by enclosing one or multiple arbitrary comma-separated objects between square brackets.

Lists may contain elements of different data types

List items follows a sequenced or specific order

Access values by index

#python-programming #python #tutorial #list-manipulation #python-list #the anatomy of python lists

Arvel  Parker

Arvel Parker


Basic Data Types in Python | Python Web Development For Beginners

At the end of 2019, Python is one of the fastest-growing programming languages. More than 10% of developers have opted for Python development.

In the programming world, Data types play an important role. Each Variable is stored in different data types and responsible for various functions. Python had two different objects, and They are mutable and immutable objects.

Table of Contents  hide

I Mutable objects

II Immutable objects

III Built-in data types in Python

Mutable objects

The Size and declared value and its sequence of the object can able to be modified called mutable objects.

Mutable Data Types are list, dict, set, byte array

Immutable objects

The Size and declared value and its sequence of the object can able to be modified.

Immutable data types are int, float, complex, String, tuples, bytes, and frozen sets.

id() and type() is used to know the Identity and data type of the object







Built-in data types in Python

a**=str(“Hello python world”)****#str**














Numbers (int,Float,Complex)

Numbers are stored in numeric Types. when a number is assigned to a variable, Python creates Number objects.

#signed interger




Python supports 3 types of numeric data.

int (signed integers like 20, 2, 225, etc.)

float (float is used to store floating-point numbers like 9.8, 3.1444, 89.52, etc.)

complex (complex numbers like 8.94j, 4.0 + 7.3j, etc.)

A complex number contains an ordered pair, i.e., a + ib where a and b denote the real and imaginary parts respectively).


The string can be represented as the sequence of characters in the quotation marks. In python, to define strings we can use single, double, or triple quotes.

# String Handling

‘Hello Python’

#single (') Quoted String

“Hello Python”

# Double (") Quoted String

“”“Hello Python”“”

‘’‘Hello Python’‘’

# triple (‘’') (“”") Quoted String

In python, string handling is a straightforward task, and python provides various built-in functions and operators for representing strings.

The operator “+” is used to concatenate strings and “*” is used to repeat the string.


output**:****‘Hello python’**

"python "*****2

'Output : Python python ’

#python web development #data types in python #list of all python data types #python data types #python datatypes #python types #python variable type