Web Scraping AIR BNB data using beautiful soup and requests library and then saving it in csv file using pandas library.
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Updated
Oct 3, 2023 - HTML
Web Scraping AIR BNB data using beautiful soup and requests library and then saving it in csv file using pandas library.
Speed comparisons for dataframe libraries
Speed comparisons for calculating columns in Polars dataframes
Diamonds Price prediction using Polars and Ski-learn
Visualization of a twitter Post using Matplotlib
This ETL (Extract, Transform, Load) project employs several Python libraries, including Airflow, Soda, Polars, YData Profiling, DuckDB, Requests, Loguru, and Google Cloud to streamline the extraction, transformation, and loading of CSV datasets from the U.S. government's data repository at https://catalog.data.gov.
https://matthieuvion.github.io/lmd_viz/ 236k comments of Le Monde on Ukraine. A proxy to measure people' engagement. Semantic search & SBERT models testing via Sentence-Transformer / Faiss
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