- Run "python _ _ init _ _ .py" in the databasengine directory.
- Select the option 1 to create an in-memory database
There are various ways to do this- Scraping profile data from a public profile link
- Enter individual profile data
- Generate structured profile data
- Read data from a previously stored file
Select a suitable option to create the database in the memory
- Select option 2 ro delete a profile from the in-memory datastore
- Select 3 to query from the database
Please follow the instructions in the interactive SQL-like query acceptor to receive an optimal output - Select 4 to display the existing database (NOTE: speed of completion depends on size of database in the memory)
- Select 5 to write the database currently in the memory to the datastore file in databasengine/data/datastore.in
- Select 6 to quit
forked from shrikrishnaholla/LinkedIngine
hjfu/LinkedIngine
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
Folders and files
Name | Name | Last commit message | Last commit date | |
---|---|---|---|---|
Repository files navigation
About
Pronounced Linked-engine. It is a python project to provide web analytics to linkedin profiles through modules and packages built purely in python
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published
Languages
- Python 44.8%
- CSS 35.4%
- JavaScript 19.8%