computing-toolbox 1.1.0

Computing Toolbox for daily computations

Computing Toolbox for Python

This is a library aiming to help programmers to sort every day tasks easily. This library contains:

1. gcp
   1. secret-manager utils to access secret values
   2. gcp-storage utils to check if a file exists in Google Cloud or get a list of files in a bucket
2. jsonl class able to read and write json line file very quickly
3. http-request class able to get html files easily
4. async-http-request class able to get multiple files easily
5. utils
   1. deep_get function able to get dynamically values from a dictionary
   2. split function able to split a given interval of size n in m parts

Installation

pip install computing-toolbox

Usage

from computing_toolbox.jsonl import Jsonl
#read whole file
data0 = [x for x in Jsonl("/path/to/file")]
#alternative to read 
data1 = list(Jsonl("/path/to/file"))

#read 100 rows after row 20
data2 = [x for x in Jsonl("/path/to/file", offset=20, limit=100)]

#write objects
data3=[{"name":"Newton"}, {"name":"Galileo"}]
Jsonl("/path/to/file","w").write(data3)

If the file is located in the cloud, you only need to configure your environment Jsonl class will handle it for aws, gcp, etc.

Jsonl can handle .zip or .gz files automatically you only need to specify the right extension in the path

#Author Pedro Mayorga.