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๐ŸDay 13-Basics of Python For DevOps Engineer: Part-I

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โ€ข3 min read
๐ŸDay 13-Basics of Python For DevOps Engineer: Part-I
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Hey there! ๐Ÿ‘‹

I'm Pratik R. Mandge, a DevOps Engineer passionate about all things AWS DevOps Technology. Currently on a learning adventure, I'm here to share my journey and Blog's in the world of cloud and DevOps.

๐Ÿ› ๏ธ My focus? Making sense of AWS services, improving CI/CD, and diving into infrastructure as code. Whether you're fellow interns or curious enthusiasts, let's grow together in the vibrant DevOps space.

๐ŸŒ Connect with me for friendly chats, shared experiences, and learning moments. Here's to embracing the learning curve and thriving in the exciting world of AWS DevOps Technology!

Follow me on LinkedIn: https://www.linkedin.com/in/pratik-mandge363

๐ŸWhat is Python?

Python is a Open source, general purpose, high level, and object-oriented programming language. It was created by Guido van Rossum. Python consists of vast libraries and various frameworks like Django, Flask, Pandas, CherryPy, and Web2Py etc.

๐ŸHow to Install Python in Linux?

You can install Python in all operating system like Linux, Ubuntu, Windows & MacOS.

Installation of Python in Linux:

  1. Update the package index: It's a good practice to update the package index before installing any new packages:

     sudo apt update #For Ubuntu/ Debian
    
  2. Install Python: You can install Python using the package manager:

     sudo apt install python3 #For Ubuntu/Debian
     sudo yum install python3 #For CentOS/RHEL
    
  3. Verify the Installation: After installation, you can verify that Python was installed successfully by running:

     python3 --version
    

๐Ÿ’ฅTask: Installation of Python in Linux with Example.

๐ŸDifferent Data Types in Python

In Python, there are several built-in data types that are used to store different kinds of data. Here are some of the most commonly used data types along with examples:

  1. Integer (int): Represents whole numbers without any fractional part.

     x = 10
     y = -5
    
  2. Float (float): Represents real numbers with a decimal point.

     pi = 3.14
     temp = -20.5
    
  3. String (str): Represents a sequence of characters enclosed within single quotes (') or double quotes (").

     name = 'Patrik'
     msg = "Hello, Python Learners!"
    
  4. Boolean (bool): Represents either True or False.

     a = True
     b = False
    
  5. List (list): Represents an ordered collection of items. Items can be of different data types.

     numbers = [1, 2, 3, 4, 5]
     fruits = ['Kiwi', 'Banana', 'Jackfruit']
    
  6. Tuple (tuple): Similar to lists, but immutable (cannot be changed once created).

     thistuple = ("apple", "banana", "cherry")
    
  7. Dictionary (dict): Represents a collection of key-value pairs. Keys are unique within a dictionary.

     person = {'name': 'Patrik', 'age': 23, 'city': 'New Nashik'}
    
  8. Set (set): Represents an unordered collection of unique items. Duplicates are not allowed.

     unique_numbers = {1, 2, 3, 4, 5}
     vowels = {'a', 'e', 'i', 'o', 'u'}
    
  9. NoneType (None): Represents the absence of a value or a null value.

     result = None
    

๐Ÿ’ฅConclusion:

In conclusion, Python is a versatile and powerful programming language known for its simplicity and readability. Its rich set of built-in data types, control structures, and extensive standard library make it suitable for a wide range of applications, from web development and data analysis to artificial intelligence and DevOps.

I believe this blog will be really helpful, giving you fresh perspectives and teaching you something new and interesting. ๐Ÿ™

๐Ÿ˜Š Enjoy learning!

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