Dan WatsoninHardwood ConvergencePostgres Redux: File Prep and Data IngestionCreating our new local databaseMar 22, 2020Mar 22, 2020
Dan WatsoninHardwood ConvergenceNBA_API to the RescueWe’re back and we have data!Mar 21, 2020Mar 21, 2020
Dan WatsoninHardwood ConvergenceSet Up For Success: Creating Tables and Loading Data in PostgresAfter this post, we’ll have a database filled with basketball data to run analyses and applications!Sep 16, 20191Sep 16, 20191
Dan WatsoninHardwood ConvergencePrepping for Postgres: Installation and File Preparation Using BashPostgres is a powerful free database that will speed up our analysesSep 15, 2019Sep 15, 2019
Dan WatsoninHardwood ConvergenceShowtime: Pulling Multiple Seasons of Player Stats with NBA_PyPulling game logs from 2012–13 to presentAug 7, 2019Aug 7, 2019
Dan WatsoninHardwood ConvergenceBonus Post: NBA_py Functions Workbook Now AvailableGet comfortable with nba_py before we ramp up our data collectionAug 1, 2019Aug 1, 2019
Dan WatsoninHardwood ConvergenceMove Over Scraping: Pulling NBA Data with NBA_pyRamping up data collection with a user-friendly python packageJul 26, 20192Jul 26, 20192
Dan WatsoninHardwood ConvergenceFast and Easy Plotting with MatplotlibVisualizing Harden’s stats with python’s most popular plotting libraryJul 25, 2019Jul 25, 2019
Dan WatsoninHardwood ConvergencePandas Makes Analysis a Layup: Grouping, Pivoting, and PlottingFind meaningful distinctions in NBA stats with pandasJul 24, 2019Jul 24, 2019
Dan WatsoninHardwood ConvergenceCleaning Flat Files and Calculating Basic NBA Stats with PandasLoad, clean, and manipulate flat files to calculate NBA statsJul 21, 2019Jul 21, 2019