TomLafferty / PyPart9

Part 9

Accompanying resources

• Slide deck: https://zipcoder.github.io/reveal-slides.data-engineering/zcw_content/python/fundamentals-part9.html
• json module

Exercise 1

Prep Work

• Look inside the data directory. There are a few json files provided for you. Familiarize yourself with these files. Feel free to add more.

Part A

• Create a program called json_helper.py
• Define a function called read_json. Given a string representing a file path to a json file, this function should open said file and convert its contens into a json object.
• The json object should be returned.

Part B

• Define a function called read_all_json_files. Given a string representing a path to a directory, this function should read all of the json files and return a list containing all of the json objects.
• Make sure to incorporate the work from part A.

Part C

• Define a function called write_pickle. This function should take a file path and some data. Given these parameters, the function should write the contents of the json files to a file called super_smash_characters.pickle.

Part D

• Define a function called load_pickle. Given a file path, this function opens a pickled file and returns the data.
• Use this function to print the pickled data from Part C to the screen.

Make sure to write tests for your code

Exercise 2

• Create another dataset. Here are some suggestions:
  • Marvel
  • DragonBallZ

Is this program re-usable?