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README.md

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 A repository for the code, files, and other assets used in LearnDataSci articles.
 
 Links to posts on LearnDataSci and their repos (sorted by recency):
++ [Beginner's Guide to Using Databases with Python: Postgres, SQLAlchemy, and Alembic](https://learndatasci.com/tutorials/using-databases-python-postgres-sqlalchemy-and-alembic/) [[<b>repo</b>](../../tree/master/Guide%20to%20Using%20Databases%20with%20Python%20Postgres%2C%20SQLAlchemy%2C%20and%20Alembic/project)]
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 + [How to Stream Text Data from Twitch with Sockets in Python](https://learndatasci.com/tutorials/how-stream-text-data-twitch-sockets-python/) [[<b>repo</b>](../../tree/master/How%20to%20Stream%20Text%20Data%20from%20Twitch%20with%20Sockets%20in%20Python)]
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 + [Python Pandas Tutorial: A Complete Introduction for Beginners](https://www.learndatasci.com/tutorials/python-pandas-tutorial-complete-introduction-for-beginners/) [[<b>repo</b>](../../tree/master/Python%20Pandas%20Tutorial%20A%20Complete%20Introduction%20for%20Beginners)]
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 + [From Good to Great Data Science, Part 1: Correlations and Confidence](https://www.learndatasci.com/tutorials/good-great-data-science-correlations-and-confidence/) [[<b>repo</b>](../../tree/master/From%20Good%20to%20Great%20Data%20Science%2C%20Part%201%20Correlations%20and%20Confidence)]
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 + [Ultimate Guide to Web Scraping with Python Part 1: Requests and BeautifulSoup](https://www.learndatasci.com/tutorials/ultimate-guide-web-scraping-w-python-requests-and-beautifulsoup/) [[<b>repo</b>](../../tree/master/Ultimate%20Guide%20to%20Web%20Scraping/Part%201%20-%20Requests%20and%20BeautifulSoup)]
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 + [Building a Recommendation Engine with Locality-Sensitive Hashing (LSH) in Python](https://www.learndatasci.com/tutorials/building-recommendation-engine-locality-sensitive-hashing-lsh-python/) [[<b>repo</b>](../../tree/master/LSH%20Recommendation%20Engine)]
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 + [Reinforcement Q-Learning from Scratch in Python with OpenAI Gym](https://www.learndatasci.com/tutorials/reinforcement-q-learning-scratch-python-openai-gym/) [[<b>repo</b>](../../tree/master/Intro%20to%20Reinforcement%20Q-Learning)]
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 + [Predicting Reddit News Sentiment with Naive Bayes and Other Text Classifiers](https://www.learndatasci.com/tutorials/predicting-reddit-news-sentiment-naive-bayes-text-classifiers/) [[<b>repo</b>](../../tree/master/Predicting%20Reddit%20News%20Sentiment)]
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 + [Python for Finance, Part III: A Moving Average Trading Strategy](https://www.learndatasci.com/python-finance-part-3-moving-average-trading-strategy/) [[<b>repo</b>](../../tree/master/Python%20for%20Finance%2C%20Part%203)]
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 + [Python for Finance, Part II: Intro to Quantitative Trading Strategies](https://www.learndatasci.com/python-finance-part-2-intro-quantitative-trading-strategies/) [[<b>repo</b>](../../tree/master/Python%20for%20Finance%2C%20Part%202)]
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 + [Python for Finance, Part I: Yahoo Finance API, pandas, and matplotlib](https://www.learndatasci.com/python-finance-part-yahoo-finance-api-pandas-matplotlib/) [[<b>repo</b>](../../tree/master/Python%20For%20Finance%2C%20Part%20I)]
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 + [Sentiment Analysis on Reddit News Headlines with Python’s Natural Language Toolkit (NLTK)](https://www.learndatasci.com/sentiment-analysis-reddit-headlines-pythons-nltk/) [[<b>repo</b>](../../tree/master/Sentiment%20Analysis%20on%20Reddit%20Headlines%20with%20NLTK)]
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 + [Essential Statistics for Data Science: A Case Study using Python, Part I](https://www.learndatasci.com/data-science-statistics-using-python/) [[<b>repo</b>](../../tree/master/Essential%20Statistics)]
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 + [K-Means & Other Clustering Algorithms: A Quick Intro with Python](https://www.learndatasci.com/k-means-clustering-algorithms-python-intro/) [[<b>repo</b>](../../tree/master/K-Means%20Clustering)]
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 + [Predicting Housing Prices with Linear Regression using Python, pandas, and statsmodels](https://www.learndatasci.com/predicting-housing-prices-linear-regression-using-python-pandas-statsmodels/) [[<b>repo</b>](../../tree/master/Housing%20Price%20Index%20Regression)]