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Word-For-Word Translator

With the help of Google Translater, Deepl, and LLMs such as ChatGPT, translating text from one language to another has never been easier. However, this doesn’t necessarily help you learn it. For example, I’m intermediate-level Korean. I can read most Korean, but there is the odd word I don’t know. Putting the sentence into a translator often doesn’t help as, due to sentence structure, idioms, meaning etc, it can be difficult to tie the output back to the input. The best solution is to put the unknown word into a dictionary or translator, but that’s time-consuming.

Friday, October 10, 2025 | 1 minute Read
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Basic APIs: Diamond Pricing with FastAPI, Docker, GitHub Actions, and Azure

This has been a long time coming! Basic APIs part one was posted back in January; since then I’ve started a new job and have had some contract/freelance work, so I didn’t get around to completing this. Also, since then, I’ve moved from Windows to Mac, and started using uv instead of pyenv/pip, so things may look a little different. The repo for this project can be found here: https://github.com/jamesdeluk/data-projects/tree/main/basic-apis/diamond-price The goal Send (POST) to an online API with diamond criteria, and get a predicted price as a response.

Thursday, March 6, 2025 | 12 minutes Read
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Basic APIs: Sentiment Analysis with Flask, Docker, and AWS

The repo for this project can be found here: https://github.com/jamesdeluk/data-projects/tree/main/basic-apis/sentiment-analysis The goal Send (POST) a word or phrase to an online API, and get a sentiment (positive or negative) and score as a response. Step 1: Build the Python script First we need the script that can take a word or phrase as an input and return a sentiment. import json from textblob import TextBlob def analyse(data): text = data.get('text', '') if not text: return json.dumps({'error': 'No text provided'}), 400 blob = TextBlob(text) sentiment_score = blob.sentiment.polarity return json.dumps({ 'input': text, 'sentiment_score': sentiment_score, 'sentiment': ( 'positive' if sentiment_score > 0 else 'negative' if sentiment_score < 0 else 'neutral' ) }) The API will be JSON-based, so this script is also. The function takes some text and uses TextBlob to give it a sentiment score between 1 (positive) and -1 (negative), which it returns, also in JSON form.

Wednesday, January 8, 2025 | 7 minutes Read