Learn Python - Day 13 Topic: Swapping variables in python # Assuming we have two variables, a and b a = 1 b = 2 # To swap the values of a and b a, b = b, a # Now, a is 2 and b is 1 #SoftwareDevelopment #SoftwareEngineering #100DaysOfCode #buildinpublic #Python

The output from print would typically be a single line which can be hard to read, especially if the dictionary is large. The output from pprint, on the other hand, would be neatly formatted with line breaks and indentation.

In the below example, we have tried to print the data using print and pprint.

Pretty Printing in python: pprint is a python module that provides a capability to "pretty-print" arbitrary Python data structures in a formatted and more readable way. Thread: 🧵 #Python #pythonprogramming

Disadvantages of stemming: • Loss of Semantic Meaning • Generation of Non-Words • Overstemming and Understemming Errors • Part-of-Speech Ambiguity

Advantages of stemming: • Reduction in Vocabulary Size • Increased Recall in Information Retrieval • Faster Processing • Simplicity • Language Support

Examples of stemming: running - run climber - climber programming - program programs - program programmers - programm

Stemming in NLP is a text normalization technique used to reduce words to their root form or base stem. It is a simpler process that chops off word endings based on common prefixes and suffixes, often without consideration of the context in which a word is used. #AI #NLP #python

Today, I was going through the "solutions" section of one of the Leetcode problems, I stumbled upon my solution, which had around 560 upvotes! Reading through the comments brightened my day; it was awesome to see positive feedbacks. Have you tried it? https://t.co/Iem82U9PUD

(5/5): Thanks for reading. If you like my post, do like 🩷, follow @DevTalesShrey and re-tweet ♻️ See you in the next post 🤟

(4/5): word_tokenize is used to generate list of words.

(3/5): sent_tokenize() is used to generate list of sentences. In the below example we got 4 sentences.

(2/5): Importing libraries

(1/5) Tokenizing in NLP: When processing natural language text, tokenization usually involves dividing the text into words, phrases, symbols, or other meaningful elements called tokens. Thread: 🧵

You can use "spellcheck" to check the confidence of the word that it fixes.

You can use the "correct" function of the TextBlob to fix the spellings. In the below example, I am fixing a sentence.

Installing textblob

Spelling check using TextBlob (NLP) #Python #NLP #AI #MachineLearning TextBlob provides a simple API for common NLP tasks such as POS tagging, phrase extraction and more. One of the features of it is to correct "spelling mistakes" in a given text. Thread🧵🔽

String Formatting Operator % #Python #pythonprogramming The string formatting operator % allows you to format strings with specific formatting instructions, including inserting values into a string.

I couldn't cover all functions provided by Counter. You can refer this official page for complete guide. https://t.co/NWNYL6B1hP

Print "most common words"