API initial Url: https://api.football-data.org/

API account name: [email protected]

API token information:

Please modify your client to use a HTTP header named "X-Auth-Token" with the underneath personal token as value. Your token: 12abfbaacdab48bc8948ed6061925e1f

----(Implementation)----

Create a visualization illustrating the comparative performance of soccer teams in 2020, 2021 and 2022 in the English Premier League. The KPIs they are looking for are derived from games won, drawn, lost, goals for and goals against, for the EPL teams in the desired timeframe.

python3 -m venv venv
source ./venv/bin/activate

pip install -r requirements.txt

python main.py

Will run the script with default arguments Or use --help to see usage

python main.py --help

usage: main.py [-h] [-s SEASONS] [-o OUTPUT_DIR]

options:
  -h, --help            show this help message and exit
  -s SEASONS, --seasons SEASONS
                        A list of season years e.g:"['2020','2021','2022']"
  -o OUTPUT_DIR, --output_dir OUTPUT_DIR
                        Specify the path of the output directory default = ./data/

python tests/test_csvs.py

python tests/test_season.py

python tests/test_club.py

python benchmark/time.py

It will print out the number of seconds the script took to execute

project
│   README.md
│   main.py
│   requirements.txt
│   .env
│   .gitignore
│   .pre-commit-config.yaml
│   .pylintrc
└── benchmark
│   │   time.py
|   |   profiler.py
└── data
│   │   season-{year}.csv
│   │	...
└── models
│   │   club.py
│   │   premier_league.py
│   │   season.py
└── repositories
│   │   season_repository.py
└── tests
│   │   test_club.py
│   │   test_csvs.py
│   │   test_season.py
└── utils
│   │   main_lib.py
└── venv

Execution time(s): 4.779070354

Profiling: python benchmark/profiler.py

https://google.github.io/styleguide/pyguide.html#316-naming

module_name, package_name, ClassName, method_name, ExceptionName, function_name, GLOBAL_CONSTANT_NAME, global_var_name, instance_var_name, function_parameter_name, local_var_name, query_proper_noun_for_thing, send_acronym_via_https.

To run the linter run

pylint main.py

Output: Your code has been rated at 10.00/10

To manually run pre-commit on all files run

pre-commit run --all-files

• requests
• pylint
• python-dotenv
• pre-commit