Cerulean Pond

Simple to use

store raw data, transform it

usefull for analysis

---

Install for Python:

pip install cerulean-pond

How to use (register first!)

from cerulean_pond import Data_Pond

# Initialize the library
dp = Data_Pond()

# Authenticate
dp.authenticate("username", "password")

# List projects
projects = dp.list_projects()

# List files
files = dp.list_files()

# Upload a file
dp.upload_file("/path/to/file.csv", "ProjectName")

# Load file into DataFrame
df = dp.load_file_to_dataframe("file.csv", "ProjectName")


# Load parquet file into DataFrame
loaded_df = dp.load_parquet_to_dataframe(file_name="file.parquet", project="ProjectName")

# Upload a parquet file 
dp.upload_parquet(df, project="ProjectName", custom_filename="file.parquet")

Register now for free

Register here

Already registered?, Login here