jq is useful to slice, filter, map and transform structured json data.
brew install jq
$ curl --help | |
Usage: curl [options...] <url> | |
--abstract-unix-socket <path> Connect via abstract Unix domain socket | |
--alt-svc <file name> Enable alt-svc with this cache file | |
--anyauth Pick any authentication method | |
-a, --append Append to target file when uploading | |
--basic Use HTTP Basic Authentication | |
--cacert <file> CA certificate to verify peer against | |
--capath <dir> CA directory to verify peer against | |
-E, --cert <certificate[:password]> Client certificate file and password |
class Teacher(Job): | |
def __init__(self, person_name, school): | |
super().__init__(person_name) | |
self.school = school | |
def task(self): | |
print("working") | |
teacher = Teacher2("xiaoxu", "TU delft") | |
print(teacher.school) |
class Job: | |
def __init__(self, person_name): | |
self.name = person_name | |
def task(self): | |
print("working") | |
class Teacher(Job): | |
def task(self): | |
print("teach students") |
class Job: | |
def __init__(self, person_name): | |
self.name = person_name | |
def task(self): | |
print("working") | |
class Teacher(Job): | |
def task(self): | |
print("teach students") |
from confluent_kafka import Producer | |
from python_kafka import Timer | |
producer = Producer({'bootstrap.servers': 'localhost:9092'}) | |
msg = ('kafkatest' * 20).encode()[:100] | |
size = 1000000 | |
def delivery_report(err, decoded_message, original_message): | |
if err is not None: | |
print(err) |
from confluent_kafka import Consumer, TopicPartition | |
size = 1000000 | |
consumer = Consumer( | |
{ | |
'bootstrap.servers': 'localhost:9092', | |
'group.id': 'mygroup', | |
'auto.offset.reset': 'earliest', | |
} | |
) |
class Kid(Dad, Mum): | |
def __init__(self): | |
Mum.__init__(self) | |
kid = Kid() | |
print(kid.eye_color) | |
# brown |
class Dad: | |
def __init__(self): | |
self.eye_color = "blue" | |
self.hair_color = "black" | |
self.city = "Amsterdam" | |
def swim(self): | |
print("I can swim") | |
class Mum: |