DEVASC 200-901 - Python Strings

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I originally published this post on LinkedIn: https://www.linkedin.com/pulse/devasc-200-901-python-strings-riikka-sihvonen/

This is a summary based on the DEVASC 200-901 Official Cert Guide.

The string data type is a sequence of characters inside quotes. You can use single quotes (' ') or double quotes (" "). A string can also include numbers and other characters. However, some characters in Python strings have special use cases.

Example: Create a string.

>>> word = 'Python'

In Python, you don't have to explicitly specify the data type, when you assign a value to an object. Python automatically recognizes the type from the value.

A string is just a list of characters in a certain order that Python keeps track of. Strings are indexed starting from 0. You can retrieve any character in the string by referencing its index.

Example: Find the first character in the string.

>>> word[0]
>>> 'P'

You can also pull ranges of characters by using a colon (:). The format is [x:y], where x is the beginning of the slice and y determines the end. Note that the second number (y) is considered "up to but not including", so the last character to be retrieved is the one before the specified index. You can also leave out the start index (to print from the start of the string) or leave out the end index (to print out the end of the string).

Example: Find the characters from index 1 to 4 ("up to but not including").

>>> word[1:4] 
>>> 'yth'

You can also use negative numbers to indicate the index. If you use a negative number, you start from the end at position -1.

Example: Find the last character in the string.

>>> word[-1] 
>>>'n'

You can perform math operations on strings as well. The plus (+) operator is used to add or concatenate two strings together.

>>> 'Python' + 'Space' 
>>> 'PythonSpace'

Multiplication (*) works as well.

>>> 'Fun! ' * 3 
>>> 'Fun! Fun! Fun! '

There are many built-in methods in Python that allow you to manipulate the string in different ways.

Example: Convert all characters in the string to upper case.

>>> word.upper() 
>>> 'PYTHON'

See: https://docs.python.org/3/library/stdtypes.html (String Methods)

Watch my YouTube video DEVASC - Introduction to Python Strings here: 


Comments

  1. LOGICMOJOMay 18, 2021 at 3:49 PM

    Python comes up with several built-in data structures like Strings, Lists, Tuples, Sets, Dictionaries etc. Keep sharing your valuable knowledge and expertise. Thank you for sharing this. Great blog. data structure tutorial

    ReplyDelete
    Replies
    1. pgApril 25, 2026 at 1:17 PM

      Python Projects For Final Year Strings in Automation and AI
      In Cisco DevNet workflows, strings are typically used to parse CLI output, handle JSON payloads, or manage API URLs. When bridging this with Deep Learning Projects for Final Year, strings must be converted into numerical formats that a model can understand. This process involves Tokenization, where a long string is broken into smaller chunks (tokens), and Vectorization, where those tokens are converted into high-dimensional arrays. In Python, you use methods like .split(), .strip(), and .replace() to clean "noisy" text data—such as removing special characters or extra whitespace—before feeding it into an Embedding layer of a deep learning model.

      Strings as Model Inputs
      Deep learning models, specifically Large Language Models (LLMs), treat strings as sequences. In Python, you might use f-strings to dynamically create prompts or headers for an API request that interacts with a model. For the DEVASC exam, understanding how to manipulate these strings using slicing string[start:stop] or methods like .join() is critical for building the scripts that automate these AI interactions. While a deep learning model views a string as a series of probabilistic weights, a DevNet developer views it as the primary interface for configuring network devices and interacting with intelligent APIs.

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