Given this dictionary:

1. Define a variable sorted_keys that will contains the keys of prc_dic in ascending order. Use a list comprehension to do this in a single line The following references might help:

• list.sort method : https://docs.python.org/3/library/stdtypes.html#list.sort

• sorted builtin : https://docs.python.org/3/library/functions.html#sorted

2. Replace the prc_dic key for 3000-01-15 with 2020-01-15. Do this in one line and without explicitly writing the value 7.0400.

No.2:

All you need to do is to submit the contents of the yf_example3.py module, which you will create during this code challenge. We will provide you with a solution to this challenge later.

Coding (in PyCharm)

For this code challenge, you will create a new module under the toolkit project folder. This module will be called yf_example3.py. The purpose of this module is to download stock price data for Qantas for a given year and save the information in a CSV file. Follow the steps below to create this module.

Note: When marking this module, we will not consider the docstrings you create. Although the docstrings will not be marked, please create both a module docstring and a function docstring.

The diagram below presents the location of the relevant files and folders:

Follow the steps below to create and run this module.

• Create a new module, calledyf_example3.py,inside thetoolkit project folder. Open this module in PyCharm.

• Write a simple module docstring containing the name of the module and a once sentence summarising its purpose. This docstring will not be marked.

• Create the import statements. This module should import:

  • The os module

  • The toolkit_config module. This module should be imported under the alias cfg

  • The yf_example2 module (see location in the diagram above) without an alias

• Define the function qan_prc_to_csv with its parameter and docstring (the docstring will not be marked):

  • This function takes a single (mandatory) parameter called year, an integer.

  • Purpose: Download Qantas stock prices for a given year into a CSV file

  • The name of this file will be qan_prc_YYYY.csv, where the YYYY stands for the year in year.

  • This file will be saved under the data folder. Remember that the location of this folder is already in the toolkit_config module.

• Complete the body of this function so that qan_prc_to_csv making sure that it uses the yf_example2.yf_prc_to_csv to download only the prices from January 1 to December 31 of the year in year. The location of the CSV file should be determined inside the function.

• Include the if __name__ == "__main__" statement at the end of the module and include a test case (or example). This test case will download the data for year=2020.

• Run the module and examine the downloaded data

Below is a step by step description of what should happen when you call the function qan_prc_to_csv(year=2020) inside this module:

• Variables with the start and ending period for the yf_example2.yf_prc_to_csv are created inside the function. In this case, the period is from 2020-01-01 to 2020-12-31.

• Download the data for this period and tic='QAN.AX'.

• Create the name of the output file. In this case, qan_prc_2020.csv.

• Create a path variable making sure that this file will be inside the datafolder.

• Save the downloaded data.

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