Linear Search Algorithm | With Example Code

Linear Search is a simplest searching algorithm that goes through all the elements in sequence from start to end. In linear search, the algorithm checks every single element whether it’s a required element or not.

This searching technique can be applied to sorted or unsorted lists or arrays.

For Example:

Let us consider an unsorted array of size 9. The following image consists of the elements in the array. Now we need to find the exact position/place of element “20”.

The algorithm is as follows:

Start searching from the leftmost element of arr[] and one by one compare x with each element of arr[]
If x matches with an element, return the index.
If x doesn’t match with any of the elements, return -1.

Program Code

#include <stdio.h> 
int search(int arr[], int n, int x)
{
int i;
for (i = 0; i < n; i++)
if (arr[i] == x)
return i;


return -1;


}



int main(void)


{


int arr[] = { 9, 4, 45, 75, 16, 15, 23, 54, 79 };


int x = 23;


int n = sizeof(arr) / sizeof(arr[0]);


int result = search(arr, n, x);


if(result == -1)


printf("Element not present.");


else


printf("Element is present at index %d", result); return 0;


}

Output:  


Element is present at index 6.
The Time Complexity of Linear Search Algorithm is O(n). That means the time taken to search will directly be dependent on the size of the array or list. Nowadays, in a practical scenario, Linear search is rarely used. Because of some faster searching algorithms discovered like, Binary Search and Hashing Tables, which eventually takes lesser time to search any data from arrays or lists.




Python IDEs and Code Editors - Basic Guide and Top picks

The hugely popular Programming language Python was developed in 1991 to code languages used for several purposes like:

Python IDE and Code editors - basic guide and top picks

  • Back-end web and mobile app development
  • Desktop app 
  • Software development
  • To write system scripts

Python is the leader in the coding business because of its easy English syntax, easy to learn framework user-friendly interface. It is used for server web development, software development, and Artificial intelligence. Python works on many platforms and to know Python you should know more about the best Python code editors and IDE’s.

What is IDE and code editor?

IDE's or Integrated development environments are those programs that amalgamate the tools for writing and testing software, websites and mobile-based apps on its platform. They typically include:


  • Source code editor: This is a text editor that is used for editing programming languages.
  • Building tools for automation: To automate the software development process and reduce manual tasks.
  • Debugger: This is a tool that examines codes for errors and also aids to diagnose different problems. 



With IDE, one can also automate the work of developers which results in a significant reduction of manual work and therefore, errors caused due to it. It also facilitates the SDLC (software development life cycle) process further by reducing the time taken for development, testing and debugging.

But, if you have to write only the code, then why use the IDE platform? 

Instead, you can rely on less-resourced intensive code editors which can be written in plain text editors. Code editors are well equipped and have features specific to writing codes which can benefit your SDLC process and amp up the speed with a notable reduction in time, effort and errors.

We have handpicked top 10 python IDE’s and code editors to help you select the most ideal one suited for your project:

Idle –IDE

Idle is the best way to start for beginners. It has by default the installs of the language. Idle is great for beginners because it is light-weight and capable of doing many things. But with more complications, later on, Idle might not be the best fit. It is open source and comes free of cost.

  • User-friendly and best for beginners
  • Presence of smart indentation 
  • Highlights syntax
  • Open-source

Thonny –IDE

Thonny is yet another beginner-friendly python IDE that was developed by the Institute of Computer Science at the University of Tartu in Estonia and aimed at Python beginners. This like Idle is open-source and is free of cost too.

  • Open-source
  • User interface is simple
  • Simplified debugger
  • User logs maintained to keep a tab on the entire coding process

PyCharm – IDE

Mainly for intermediate and advance python users, it is the best extension to your Idle days. Charm comes in a two-tier pricing mode where the first is free of cost limited community version and the second tier is the fully paid professional version.

  • Apt for professional use
  • Error highlighting and suggestion fixing
  • A smart code navigation system
  • Strong debugging

Spyder – IDE

Mainly used by python scientists designed with data science. Its main focus is integrating with python data libraries which makes it a perfect choice for dedicated data science needs. This being Open source is free to explore.

  • Specializes in Data science
  • Python code auto-completion
  • Syntax highlight

Sublime Text – Code editor

Priced at $80 this versatile code editor supports all languages including python. All the needed basic code editing features are offered here which can be extended further with plugins like debugging and Django integration.

  • Fully features and has everything one is looking for
  • GOTO search function
  • Out of box highlighting of syntax

Repl.it (IDE) 

This is a general-purpose IDE that supports python and even lets the developers’ code directly through the browser. It is an open-source format that comes free of cost. With this tool, all the developer needs to write down an efficient python code is to have a system with a good internet connection.

  • Code-error analysis
  • Ability to code through the browser
  • Goes with other plugins

Visual Studio (IDE)

This is a well-packaged IDE that comes from the house of Microsoft. It is also python compatible with the help of PTVS (Python tools visual studio). Good for complicated applications and will cost the exchequer a neat $45 per month.

  • Apt for multiple languages
  • Can add python compatibility with the help of plugins
  • Have great navigation tools and debugging options
  • Has the support for Microsoft

Visual Studio Code – Code Editor

Visual Studio Code is free of cost and can be configured easily with extensions and plugins. This comes with syntax highlighting, debugging and an auto-completion feature called ‘Intellisense'.

  • Syntax highlighting
  • Debugger
  • Rich in feature though lightweight

Vim – Code Editor

This has a pre-installed Mac OS and UNIX OS. It is a basic editor but has the option for plugins and extensions.

  • Open-source
  • Easily configured with python
  • Compatible with plugins for syntax highlighting, code auto-completion and debugging

Atom – Code Editor

Flexible, lightweight and has its features like code auto-completion, adjustable user interface and debugging.

  • Open-source
  • Customized user interface
  • Find and replace the search option

You can choose a suitable Python IDE and Code Editor that helps make your software development process easier without any hassle. Let us know in the comments section if you know some other best code editors or IDEs suitable for easy to use, simple and hassle-free development.

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Python String split() method (With Examples)

split() method is used to break up a bigger string into a smaller list of strings. We need to specify a separator(default separator is a whitespace if not specified) to help in splitting of the string. As a result we get a list where each word is a separate list item. In other words split() is used to split a string into a list.

Syntax

str.split(separator, maxsplit)

Parameters


separator
This is any delimiter which is used to split the string. If it is not provided any whitespace(space, newline etc.) is considered as default.
maxsplit

It is a numeric optional value which specifies how many splits will be performed. If maxsplit is not provided then there is no limit. If maxsplit is not specified or -1(all occurrences), then there is no limit on the number of splits (all possible splits will be made).
Note: When maxsplit is specified, the list will contain the specified number of elements plus one.

Returns

Returns a list of strings which has been split by the specified separator. The split() splits the string at the separator and returns a list of strings.

Below examples shows Python split string by comma, python split string by character and python split string by space.

Example 1

textstring = 'Coding is Fantastic'
# Split() at space 
print(textstring.split()) 
wordstring = 'Coding, is, Fantastic'
# Split() at ',' 
print(wordstring.split(', ')) 
wordstring = 'Coding#is#Fantastic'
# Splitting at '#' 
print(wordstring.split('#')) 
Output


['Coding', 'is', 'Fantastic']
['Coding', 'is', 'Fantastic']
['Coding', 'is', 'Fantastic']

Example 2 


wordstring = 'Apple, Orange, Grapes, Kiwi'
# maxsplit: 0 
print(wordstring.split(', ', 0)) 
# maxsplit: 3 
print(wordstring.split(', ', 3)) 
# maxsplit: 1 
print(wordstring.split(', ', 1)) 
Output

['Apple, Orange, Grapes, Kiwi']
['Apple', 'Orange', 'Grapes', 'Kiwi']
['Apple', 'Orange, Grapes, Kiwi']

Further Read:

Python String - isdigit() method (With Examples)

isdigit() is an in-built method in python which is used for string manipulations. isdigit() returns True if all characters in the string are digits, else it returns False. This Python String Method does not take any parameters.

Syntax

string.isdigit()

Returns

True - If all the characters in the string are digits.
False - If 1 or more non-digit characters are present in string.

Example 1

# checking for digit using isdigit
str = '987654321'
print(str.isdigit())

str = 'Houseno22'
print(str.isdigit())

Output 
True
False

Example 2

# Checking for superscripts or subscripts with isdigit
str = '550\u2076'
print(str.isdigit())

Output 
True

Note: fractions, roman numerals are not considered digits, hence isdigit() returns False. This method will work with unsigned integers, superscripts or subscripts.

Further Read: