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###  Python Programming
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<!---
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This assignment was developed by Brandi
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Questions? Comments?
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1. Log an issue to this repo to alert me of a problem.
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2. Suggest an edit yourself by forking this repo, making edits, and submitting a pull request with your changes back to our master branch.
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3. Hit me up on Slack at @brandib.
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--->
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# Intermediate Python: Scripting and Code Abstraction
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## Overview
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Let's put your skills to the test!
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You will practice these programming concepts we've covered in class:
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* Scripting
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* File I/O
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* Code abstraction with `itertools`
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* List comprehension
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---
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## Deliverables
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For the challenges below, you will create a new `.py` file and write code to solve the problem. Run the file from the command line to check your work. Detailed directions are given below.
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*Reminder: On your laptop, you can run the file from your command line with the following:*
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```python
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python problem1.py
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```
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> **Hint:** Make sure you are printing something out with the `print` statement. Otherwise, you won't see any output from running your program!
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## Requirements:
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By the end of this, you should have:
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- Two `.py` files for the solutions.
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- A generated `csv` file called `tps_report.csv`.
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---
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## Problem 1: TPS Report
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#### Skill you're practicing: Using modules, reading docs, scripting, file I/O, and using dictionaries.
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Your boss, Bill, asks you to come in on Saturday to finish your TPS report. You promise to finish the report, but as Bill walks away you smile knowing you have a trick up your sleeve: scripting! You plan on quickly mocking up a bit of code to finish the report and change your performance reviews in the system, all without spending a minute of your Saturday!
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You know of a Python module called [`csv`](https://docs.python.org/3/library/csv.html) that can be used to read and write `csv` files. CSV stands for "comma-separated values" and is a file type commonly associated with spreadsheets. You can check out the [`csv` docs](https://docs.python.org/3/library/csv.html) for examples of how this module works. We'll be using the [`DictWriter` method](https://docs.python.org/3/library/csv.html#csv.DictWriter), which maps a dictionary to output rows.
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#### Example of DictWriter
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```python
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import csv
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# This line opens or creates a `names.csv` file.
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with open('names.csv', 'w', newline='') as csvfile:
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# These are the header row values at the top.
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fieldnames = ['first_name', 'last_name']
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# This opens the `DictWriter`.
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writer = csv.DictWriter(csvfile, fieldnames=fieldnames)
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# Write out the header row (this only needs to be done once!).
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writer.writeheader()
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# Write as many rows as you want!
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writer.writerow({'first_name': 'Baked', 'last_name': 'Beans'})
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writer.writerow({'first_name': 'Lovely', 'last_name': 'Spam'})
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writer.writerow({'first_name': 'Wonderful', 'last_name': 'Spam'})
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```
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#### Output of `DictWriter` Example
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If you run the previous example locally, you'll end up with a spreadsheet that looks like this:
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| first_name | last_name |
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| ---------- | --------- |
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| Baked | Beans |
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| Lovely | Spam |
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| Wonderful | Spam |
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If you view it in a text editor like Atom, you'll just see the values separated by commas:
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```
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first_name,last_name
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Baked,Beans
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Lovely,Spam
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Wonderful,Spam
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```
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> **Note:** If you double click on the file that is generated, it will open in whatever spreadsheet program you have on your computer. On a Mac, this is probably Numbers. On Windows, this is probably Excel. If you don't have a spreadsheet program on your computer, upload the file to Google Sheets and view it there.
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#### Your Job!
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Now that you have a good idea how to wrangle a `csv` file, let's think about what you'd like to do with this newfound power. You have a list of dictionaries called `employees`, which contains information about each employee including `first_name`, `last_name`, `hire_date`, `job_title`, and `performance_review`. You must open a new file called `tps_report.csv` and make a loop to write out every employee in the `employees` to `tps_report.csv`.
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#### Your Starter Code
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You can start with the starter code [here](https://repl.it/@brandiw/03-Python-TPS-Report). Please copy it into your own file called `problem1.py`.
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```python
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# Import 'csv' module.
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import csv
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# Report is a list of objects.
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# The keys in these objects will be the header fields of your spreadsheet.
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report = [{...}, {...}, {...}]
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```
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#### Expected Output
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```
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first_name,last_name,job_title,hire_date,performance_review
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Bill,Lumbergh,Vice President,1985,excellent
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Michael,Bolton,Programmer,1995,poor
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Peter,Gibbons,Programmer,1989,poor
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Samir,Nagheenanajar,Programmer,1974,fair
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Milton,Waddams,Collator,1974,does he even work here?
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Bob,Porter,Consultant,1999,excellent
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Bob,Slydell,Consultant,1999,excellent
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```
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Or, if you're viewing it in a spreadsheet program:
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| first_name | last_name | job_title | hire_date | performance_review |
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| ------ | ----------- | ---------- | ---- | ------------------------ |
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| Bill | Lumbergh | Vice President | 1985 | excellent |
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| Michael | Bolton | Programmer | 1995 | poor |
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| Peter | Gibbons | Programmer | 1989 | poor |
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| Samir | Nagheenanajar | Programmer | 1974 | fair |
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| Milton | Waddams | Collator | 1974 | does he even work here? |
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| Bob | Porter | Consultant | 1999 | excellent |
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| Bob | Slydell | Consultant | 1999 | excellent |
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**Hint:** Instead of writing `writerow` many times in a row, try looping through the `employees` list.
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---
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## Problem 2: Have You Seen My Stapler?
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#### Skills you're practicing: Using modules, reading docs, scripting, file I/O, and using dictionaries.
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Now we have a TPS report, but it isn't finished — there are still a couple of things left to do!
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```
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1. Add a field called `finished_review` to each employee. The value for every row should be `yes`. You figure you can just add this field to each dictionary inside the loop.
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2. Change everyone's `performance_review` to `excellent`, unless it's your boss `Bill` or someone with the `job_title` of `Consultant`. In that case, make their `performance_review` value `poor`.
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3. Enjoy your Saturday! 🌤 🕶 😎
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```
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#### Starter Code
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Copy all of your code from `problem1.py` and use that as your base code for `problem2.py`!
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#### Expected Output
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```
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first_name,last_name,job_title,hire_date,performance_review,finished_review
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Bill,Lumbergh,Vice President,1985,poor,yes
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Michael,Bolton,Programmer,1995,excellent,yes
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Peter,Gibbons,Programmer,1989,excellent,yes
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Samir,Nagheenanajar,Programmer,1974,excellent,yes
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Milton,Waddams,Collator,1974,excellent,yes
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Bob,Porter,Consultant,1999,poor,yes
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Bob,Slydell,Consultant,1999,poor,yes
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```
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Or, in table form:
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| first_name | last_name | job_title | hire_date | performance_review | finished_review |
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| ------ | ----------- | ---------- | ---- | ------------------------ | ----- |
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| Bill | Lumbergh | Vice President | 1985 | poor | yes |
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| Michael | Bolton | Programmer | 1995 | excellent | yes |
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| Peter | Gibbons | Programmer | 1989 | excellent | yes |
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| Samir | Nagheenanajar | Programmer | 1974 | excellent | yes |
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| Milton | Waddams | Collator | 1974 | excellent | yes |
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| Bob | Porter | Consultant | 1999 | poor | yes |
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| Bob | Slydell | Consultant | 1999 | poor | yes |
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**Hint:** If you get a `ValueError` saying that `finished_review` is not a field name, it means that you forgot to add it to the `fieldnames` array.
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---
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## Look at You, Being a Boss!
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What do you call a snake that's 3.14 meters long?
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A `Pi-Thon`! :D
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