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Abhay Parashar
Abhay Parashar

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10 Impressive Automation Scripts You Need To Try Using Python

Automation allows the execution of certain tasks efficiently without or with less human intervention. Python is certainly the kind of automation when It comes to programming languages. It has many inbuilt functionalities with wide support of different packages that allow a developer to automate certain tasks efficiently with less effort. In this blog, We will look at 10 Fun automation scripts that you need to try using Python.

Auto ProofRead:

Description: Correct spelling and grammatical errors in your text using the lmproof library in Python. This script can enhance the quality of your written content, making it error-free and polished.

PseudoData:

Description: Generate realistic-looking artificial datasets using Python. This script is valuable for tasks such as testing database schemas, ML model development, and API testing.

Notifo:

Description: Combat forgetfulness and boost productivity with this reminder script. Set custom reminders with messages, and the script will notify you after the specified time, acting as your digital memory aid.

NATO Encryptions:

Description: Encode and decode messages using NATO phonetic alphabet encryption. This script adds a layer of fun or security to messages, making them readable only with the correct set of keys.

Briefit:

Description: Summarize articles using neural networks and web scraping. This script generates abstract summaries of articles, making it easier to grasp the main points when time is limited.

Image Exif:

Description: Extract and remove Exif data from images. This script helps protect your privacy by removing metadata such as camera settings, geolocation, and other details embedded in images.

RemoveBG:

Description: Remove the background from images locally using the rembg Python package. This script is handy for writers and others who frequently work with images and need them without a background.

FilterText:

Description: Use regular expressions to filter text data. This script includes filters for email addresses, HTML tags, web links, mentions, and hashtags, making it versatile for various text-processing tasks.

EmailHeaders:

Description: Parse and display important information from email headers. This script provides insights into an email's origin, transmission, and content, helping identify potential issues or suspicious activity.

TrendyStocks:

Description: Fetch and visualize Google Trends data for specified stocks. This script helps investors understand the current trends in the market, making it a valuable tool for decision-making.
investment decisions.

Check out the source code for all these scripts here.

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wuxiaobin

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Abhay Parashar • Edited

A Must read article for every python folks.

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