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Week 01 - Language basics, Generating Data, Storing Data

  • [00 - Getting Started](Week 01 - Language basics, Generating Data, Storing Data/00 - Getting Started.md) (ipynb)
  • [01.A - Terminal Application](Week 01 - Language basics, Generating Data, Storing Data/01.a - Terminal Application.md) (ipynb)
  • [01.B - Argparse](Week 01 - Language basics, Generating Data, Storing Data/01.b - Argparse.md) (ipynb)
  • [02.A - Generating Synthetic Healthcare Data](Week 01 - Language basics, Generating Data, Storing Data/02.a - Generating Synthetic Healthcare Data.md) (ipynb)
  • [02.B - Generating Other Synthetic Data](Week 01 - Language basics, Generating Data, Storing Data/02.b - Generating Other Synthetic Data.md) (ipynb)
  • [02.C - Using Synthea](Week 01 - Language basics, Generating Data, Storing Data/02.c - Using Synthea.md) (ipynb)
  • [03 - Getting Data From A Database](Week 01 - Language basics, Generating Data, Storing Data/03 - Getting Data from a Database.md) (ipynb)
  • [04 - Fhir Sql](Week 01 - Language basics, Generating Data, Storing Data/04 - FHIR SQL.md) (ipynb)
  • [04 - Python Testing](Week 01 - Language basics, Generating Data, Storing Data/04 - Python Testing.md) (ipynb)
  • [05 - Start A Process In Python](Week 01 - Language basics, Generating Data, Storing Data/05 - Start a process in Python.md) (ipynb)

Week 02 - Processing files, Making Web Requests

  • [01.A - File Processing](Week 02 - Processing files, Making Web Requests/01.a - File Processing.md) (ipynb)
  • [01.B - Csv Files](Week 02 - Processing files, Making Web Requests/01.b - CSV Files.md) (ipynb)
  • [01.C - Json Files](Week 02 - Processing files, Making Web Requests/01.c - JSON Files.md) (ipynb)
  • [01.D - Xml Files](Week 02 - Processing files, Making Web Requests/01.d - XML Files.md) (ipynb)
  • [02.A - Python Classes](Week 02 - Processing files, Making Web Requests/02.a - Python Classes.md) (ipynb)
  • [02.B - Python Modules And Packages](Week 02 - Processing files, Making Web Requests/02.b - Python Modules and Packages.md) (ipynb)
  • [03 - Using Fhirclient To Parse Healthcare Data](Week 02 - Processing files, Making Web Requests/03 - Using fhirclient to parse Healthcare Data.md) (ipynb)
  • [04 - Reading Synthea Data](Week 02 - Processing files, Making Web Requests/04 - Reading synthea data.md) (ipynb)
  • [05 - Getting Data From Web Apis](Week 02 - Processing files, Making Web Requests/05 - Getting Data from Web APIs.md) (ipynb)

Week 03 - Functions, Loops, Comprehensions and Generators

  • [01.A - Python Functions](Week 03 - Functions, Loops, Comprehensions and Generators/01.a - Python Functions.md) (ipynb)
  • [01.B - Python Tuples](Week 03 - Functions, Loops, Comprehensions and Generators/01.b - Python Tuples.md) (ipynb)
  • [01.C - Loops](Week 03 - Functions, Loops, Comprehensions and Generators/01.c - Loops.md) (ipynb)
  • [02 - Lists And List Comprehensions](Week 03 - Functions, Loops, Comprehensions and Generators/02 - Lists and List Comprehensions.md) (ipynb)
  • [03 - Sets And Set Comprehensions](Week 03 - Functions, Loops, Comprehensions and Generators/03 - Sets and Set Comprehensions.md) (ipynb)
  • [04.A - Dictionaries](Week 03 - Functions, Loops, Comprehensions and Generators/04.a - Dictionaries.md) (ipynb)
  • [04.B - Dictionary Comprehensions](Week 03 - Functions, Loops, Comprehensions and Generators/04.b - Dictionary Comprehensions.md) (ipynb)
  • [05 - Python Generators](Week 03 - Functions, Loops, Comprehensions and Generators/05 - Python Generators.md) (ipynb)

Week 04 - Data Processing and Visualization Part 1

  • [01.A - Cleaning And Transforming Data](Week 04 - Data Processing and Visualization Part 1/01.a - Cleaning and Transforming Data.md) (ipynb)
  • [01.B - Grouping Data](Week 04 - Data Processing and Visualization Part 1/01.b - Grouping Data.md) (ipynb)
  • [01.C - Descriptive Statistics](Week 04 - Data Processing and Visualization Part 1/01.c - Descriptive Statistics.md) (ipynb)
  • [02 - Basic Medical Data Visualization](Week 04 - Data Processing and Visualization Part 1/02 - Basic Medical Data Visualization.md) (ipynb)
  • [03.A - Numpy Introduction](Week 04 - Data Processing and Visualization Part 1/03.a - NumPy Introduction.md) (ipynb)
  • [03.B - Numpy Data Analysis](Week 04 - Data Processing and Visualization Part 1/03.b - NumPy Data analysis.md) (ipynb)

Week 05 - Data Processing and Visualization Part 2

  • [00 - Additional Links](Week 05 - Data Processing and Visualization Part 2/00 - Additional Links.md) (ipynb)
  • [01 - Pandas Introduction](Week 05 - Data Processing and Visualization Part 2/01 - Pandas Introduction.md) (ipynb)
  • [02.A - Pandas Data Analysis Part 1](Week 05 - Data Processing and Visualization Part 2/02.a - Pandas Data analysis Part 1.md) (ipynb)
  • [02.B - Pandas Data Analysis Part 2](Week 05 - Data Processing and Visualization Part 2/02.b - Pandas Data analysis Part 2.md) (ipynb)
  • [03 - Matplotlib Tutorial Python Plotting](Week 05 - Data Processing and Visualization Part 2/03 - Matplotlib Tutorial Python Plotting.md) (ipynb)
  • [04 - The Ultimate Python Seaborn Tutorial](Week 05 - Data Processing and Visualization Part 2/04 - The Ultimate Python Seaborn Tutorial.md) (ipynb)

Week 06 - Web Scraping

  • [01. Introduction To Web Scraping](Week 06 - Web Scraping/01. Introduction to Web Scraping.md) (ipynb)
  • [02. Css Selectors](Week 06 - Web Scraping/02. CSS Selectors.md) (ipynb)
  • [03.A Web Scraping With Beautiful Soup](Week 06 - Web Scraping/03.a Web Scraping with Beautiful Soup.md) (ipynb)
  • [03.B Web Scraping Using Selenium](Week 06 - Web Scraping/03.b Web Scraping Using Selenium.md) (ipynb)
  • [03.C Web Scraping With Scrapy](Week 06 - Web Scraping/03.c Web scraping with Scrapy.md) (ipynb)
  • [04.A - More Web Scraping With Beautifulsoup](Week 06 - Web Scraping/04.a - More Web Scraping with BeautifulSoup.md) (ipynb)
  • [04.B - Even More Web Scraping With Beautifulsoup](Week 06 - Web Scraping/04.b - Even More Web Scraping with BeautifulSoup.md) (ipynb)