kwl.md

jupytext	kernelspec
text_representation extension format_name format_version jupytext_version .md myst 0.13 1.10.3	display_name language name Python 3 python python3

KWL Chart

(kwlworkflows)=

Working with your KWL Repo

The `main` branch should only contain material that has been reviewed and approved by the instructors.

```{tip}
You could apply branch protections on your feedback branch if you like
```

1. Work on a specific branch for each activity you work on
2. when it is ready for review, create a PR from the item-specifc branch to main.
3. when it is approved, merge into main.

(kwlmin)=

Minimum Rows

# KWL Chart


<!-- replace the  _ in the table or add new rows as needed -->

| Topic | Know | Want to Know | Learned |
| ------| ------- | ------ | ------- |
| Git | _ | _ | _ |
| GitHub | _ | _ | _ |
| Terminal | _ | _ | _ |
| IDE | _ | _ | _ |
| text editors | _ | _ | _ |
|file system | _ | _ |_ |
|bash | _ | _ | _ |
|abstraction | _ | _ | _ |
|programming languages | _ | _ | _ |
|git workflows | _ | _ | _ |
| git branches | _ | _ | _ |
| bash redirects | _ | _ | _ |
|number systems | _ | _ | _ |
| merge conflicts | _ | _ | _ |
| documentation | _ | _ | _ |
| templating | _ | _ | _ |
|bash scripting | _ | _ | _ |
| developer tools | _ | _ | _ |
| networking | _ | _ | _ |
|ssh | _ | _ | _ |
| ssh keys | _ | _ | _ |
|compiling | _ | _ | _ |
| linking   | _ | _ | _ |
| building | _ | _ | _ |
| machine representation  | _ | _ | _ |
| integers   | _ | _ | _ |
| floating point  | _ | _ | _ |
|logic gates | _ | _ | _ |
| ALU | _ | _ | _ |
| binary operations | _ | _ | _ |
| memory | _ | _ | _ |
| cache | _ | _ | _ |
| register | _ | _ | _ |
| clock | _ | _ | _ |
| Concurrency | _ | _ | _ |

Required Files

:tags: ["remove-input"]

import pandas as pd

with open('../_data/review_list.txt','r') as f:
    rev = f.readlines()

rev_df = pd.DataFrame([[date_file[0][:10],date_file[1]] for date_file in [a.split() for a in rev]],
                      columns = ['date','file'])
rev_df['type'] = 'review'

with open('../_data/prepare_list.txt','r') as f:
    pre = f.readlines()

prep_df = pd.DataFrame([[date_file[0][:10],date_file[1]] for date_file in [a.split() for a in pre]],
                      columns = ['date','file'])
prep_df['type'] = 'prepare'

with open('../_data/practice_list.txt','r') as f:
    pra = f.readlines()

prac_df = pd.DataFrame([[date_file[0][:10],date_file[1]] for date_file in [a.split() for a in pra]],
                      columns = ['date','file'])
prac_df['type'] = 'practice'

check_df = pd.concat([rev_df,prep_df,prac_df]).reset_index().drop(columns=['index'])



grade_free_dates = ['2022-09-14','2022-09-19','2022-09-21']
gz = {True:'grade-free',False:'graded'}
zoner = lambda d: gz[d in grade_free_dates]
check_df['zone'] = check_df['date'].apply(zoner)
check_df.sort_values(by='date').style.hide(axis="index")