import json
class JineshParakh:
def __init__(self):
self.info = {
"๐ Pronouns" : ["He", "Him"],
"๐ป Studying" : {
"Degree" : "Computer Engineering",
"College" : "Pune Institute of Computer Technology",
"Batch" : "2018-2022"
},
"๐ญ Workplace" : {
"Company" : "UBS",
"Position" : "Summer Intern",
"Department" : "Group Functions - Network Tools"
},
"๐ก Exploring" : ["PrimeFaces", "Hibernate"],
"๐ฅ Positions of Responsibility" : {
"Chairperson" : "PICT ACM Student Chapter",
"CP Lead" : "DSC PICT",
"Editor in Chief" : "Pictoreal"
},
"โก Funfact" : "Could've added languages & tools here itself but couldn't resist using badges"
}
def sayHello(self):
print("Hello, thanks for dropping by. Do โญ the repo if you liked it!\n")
def getInfo(self):
print(json.dumps(self.info, sort_keys = False, indent = 4, ensure_ascii = False))
jineshparakh = JineshParakh()
jineshparakh.sayHello()
jineshparakh.getInfo()
jineshparakh / faiss Goto Github PK
View Code? Open in Web Editor NEWThis project forked from facebookresearch/faiss
A library for efficient similarity search and clustering of dense vectors.
Home Page: https://faiss.ai
License: MIT License