requirements.txt

# local package
-e .

#Python Version 3.9.8
# external requirements
pandas==1.3.5 
numpy==1.19.5
matplotlib==3.5.3
sklearn==0.0.post1
category_encoders==2.5.1.post0
seaborn==0.12.0
dill==0.3.6
pyyaml==6.0
pyarrow==8.0.0
fastparquet==0.8.1
#xgboost==1.7.3
uvicorn==0.16.0
fastapi==0.70.1
tqdm
#Bellow library used to render html using FastAPI
Jinja2
python-multipart

#dvclive==1.3.3 #It is use when we are working with large data and expirement is taking time we want live update of the metric as the recorsd are evaluated
#ipykernel #Used for jupiter notebook

#Step 1 Create a Virtual enviroment with in the project folder
#py -<<python_version>> -m venv <<your_environment_name>>

#Step 2 Activate the Virtual Environment by calling Activate.bat 
#\<<your_environment_name>>\Scripts\Activate.bat

#Step 3: Select this Environment as Interpreatr in VScode
#-> Ctrl+Shift+P
#-> Select from drop down or type : "Python: Select Interpreter"
#-> Select "Enter interpreter path..."
#-> Select "Find.." and browse to folder and select" \Scripts\python.exe" in the new environment folder that we created.

#Step 4: [Optional]: Upgrade pip in your_enviroment
#-> Open the Terminal
#-> Terminal should show <<your_environment_name>> in the command line. If not execute Step 2 again
#-> pip install pip --upgrade

#Step 5: Install the requirement dll
#pip install -r requirements.txt