Shreyansh Jain

Software engineer | IIT Roorkee grad 🎓 | Passionate about coding | Blogger 📝 | Networking enthusiast 🌐 | Python | C and C++ | JavaScript | Git | React | Node

[Shreyansh Jain @DevTalesShrey]

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

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#SoftwareEngineering
#100DaysOfCode
#buildinpublic #Python

[Shreyansh Jain @DevTalesShrey]

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.

[Shreyansh Jain @DevTalesShrey]

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.

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#Python #pythonprogramming

[Shreyansh Jain @DevTalesShrey]

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

[Shreyansh Jain @DevTalesShrey]

@aqkhan_jk Lemmatisation is a different method but the goal is the same

[Shreyansh Jain @DevTalesShrey]

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

[Shreyansh Jain @DevTalesShrey]

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

[Shreyansh Jain @DevTalesShrey]

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

[Shreyansh Jain @DevTalesShrey]

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

[Shreyansh Jain @DevTalesShrey]

(5/5):

Thanks for reading. If you like my post, do like 🩷, follow @DevTalesShrey and re-tweet ♻️

See you in the next post 🤟

[Shreyansh Jain @DevTalesShrey]

(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.

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[Shreyansh Jain @DevTalesShrey]

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

[Shreyansh Jain @DevTalesShrey]

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

[Shreyansh Jain @DevTalesShrey]

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.

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[Shreyansh Jain @DevTalesShrey]

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

[Shreyansh Jain @DevTalesShrey]

String Formatting Operator %

#Python #pythonprogramming

The string formatting operator % allows you to format strings with specific formatting instructions, including inserting values into a string.

[Shreyansh Jain @DevTalesShrey]

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

https://t.co/NWNYL6B1hP

[Shreyansh Jain @DevTalesShrey]

Counters in Python:

Python's Counter from collections provide a clean and an efficient way to count several repeated objects at once.

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#pythonprogramming #code

[Shreyansh Jain @DevTalesShrey]

Print "most common words"