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DSE200 Python for_Data_Analysis

! Not done. Working on redoing my assignments in the class more clearly

IPython Notebooks for Assignments (From Newest to Oldest)

  • [Day 5: OAuth, Twitter API, TF-IDF](https://github.com/mGalarnyk/DSE200_Python_for_Data_Analysis/blob/master/day_5_mining_the_Social_web/exercises/Scraping_Exercise_3_mike.ipynb)
  • [Day 5: Scraping MLB stats from ESPN go](https://github.com/mGalarnyk/DSE200_Python_for_Data_Analysis/blob/master/day_5_mining_the_Social_web/exercises/Scraping_Exercise_1_mike.ipynb)
  • [Day 5: Visualizing the history of the ebola epidemic](https://github.com/mGalarnyk/DSE200_Python_for_Data_Analysis/blob/master/day_5_mining_the_Social_web/exercises/Scraping_Exercise_2_mike.ipynb)
  • [Day 4: Earthquake occurrences (OOP, matplotlib,pandas)](https://github.com/mGalarnyk/DSE200_Python_for_Data_Analysis/blob/master/day_4_OOP_and_matplotlib/matplotlib/Matplotlib%20OOP%20Exercise_mike.ipynb)
  • [Day 3: Economics, nutrition, and MNIST datasets as well as some basemap visualization (from weather data) results](https://github.com/mGalarnyk/DSE200_Python_for_Data_Analysis/blob/master/day_3_models_and_learning/03_Exercises_HW3_MichaelGalarnyk.ipynb)
  • [Day 3: Analysis of the NOAA weather dataset (pandas, basemap, etc)](https://github.com/mGalarnyk/DSE200_Python_for_Data_Analysis/blob/master/day_3_models_and_learning/02_Weather%20AnalysisTurnIn.ipynb)
  • [Day 2: Matrix manipulations (Numpy vs. native) and analysis of CALIT2 data using pandas dataset](https://github.com/mGalarnyk/DSE200_Python_for_Data_Analysis/blob/master/day_2_github_io_numpy_pandas/10_exercises_mike.ipynb)
  • [Day 1: Python Basics (N Queen, Prime Numbers, Bigrams etc)](https://github.com/mGalarnyk/DSE200_Python_for_Data_Analysis/blob/master/day_1_python_and_unix/3_python_basics_excercises.ipynb)
  • [Day 1: Unix Exercises (Reconstructing files from segments, Word and line count,cat, pipelines etc etc)](https://github.com/mGalarnyk/DSE200_Python_for_Data_Analysis/blob/master/day_1_python_and_unix/5_unix_exercises.ipynb)

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