shenoy-anurag

import subprocess

# Run Jupyter notebook server:
subprocess.call(["jupyter", "notebook"])

# Install Kernel:
# subprocess.call(['ipython', 'kernel', 'install', '--user', '--name=venv'])

shenoy-anurag

class Node:
    def __init__(self, item, next):
        self.item = item
        self.next = next


class LinkedStack:
    def __init__(self):
        self.n = 0
        self.first = None

shenoy-anurag

[2020-08-04 16:14:17,553: INFO/MainProcess] Received task: long_running_task[b9a90217-05ed-4eb7-9bcd-d3e3fb9c4ed0]  
[2020-08-04 16:14:17,554: DEBUG/MainProcess] TaskPool: Apply <function _fast_trace_task at 0x7f5bf3fe8378> (args:('long_running_task', 'b9a90217-05ed-4eb7-9bcd-d3e3fb9c4ed0', {'lang': 'py', 'task': 'long_running_task', 'id': 'b9a90217-05ed-4eb7-9bcd-d3e3fb9c4ed0', 'shadow': None, 'eta': None, 'expires': None, 'group': None, 'retries': 0, 'timelimit': [None, None], 'root_id': 'b9a90217-05ed-4eb7-9bcd-d3e3fb9c4ed0', 'parent_id': None, 'argsrepr': '()', 'kwargsrepr': "{'n': 150}", 'origin': 'gen6@ae9258ba9c7c', 'reply_to': '357fb0b0-5899-39c6-9d44-cf757030071a', 'correlation_id': 'b9a90217-05ed-4eb7-9bcd-d3e3fb9c4ed0', 'hostname': 'celery@eddee4e4fd64', 'delivery_info': {'exchange': '', 'routing_key': 'celery', 'priority': 0, 'redelivered': False}, 'args': [], 'kwargs': {'n': 150}}, '[[], {"n": 150}, {"callbacks": null, "errbacks": null, "chain": null, "chord": null}]', 'application/json', 'utf-8'

shenoy-anurag

amqp.exceptions.RecoverableConnectionError: Socket was disconnected
[2020-07-31 15:46:57,623: WARNING/MainProcess] > /usr/local/lib/python3.6/dist-packages/celery/worker/consumer/consumer.py(332)start()
-> self.on_close()
[2020-07-31 15:46:57,624: WARNING/MainProcess] (Pdb)
nn
[2020-07-31 15:47:13,396: WARNING/MainProcess] ***
[2020-07-31 15:47:13,397: WARNING/MainProcess] NameError: name 'nn' is not defined
[2020-07-31 15:47:13,397: WARNING/MainProcess] (Pdb)
n
[2020-07-31 15:47:16,017: WARNING/MainProcess] > /usr/local/lib/python3.6/dist-packages/celery/worker/consumer/consumer.py(333)start()

shenoy-anurag

[2020-07-31 15:39:10,659: INFO/MainProcess] Connected to amqp://guest:**@rabbitmq:5672//
[2020-07-31 15:39:10,659: DEBUG/MainProcess] ^-- substep ok
[2020-07-31 15:39:10,659: DEBUG/MainProcess] | Consumer: Starting Events
[2020-07-31 15:39:10,660: DEBUG/MainProcess] Closed channel #1
[2020-07-31 15:39:10,677: DEBUG/MainProcess] Start from server, version: 0.9, properties: {'capabilities': {'publisher_confirms': True, 'exchange_exchange_bindings': True, 'basic.nack': True, 'consumer_cancel_notify': True, 'connection.blocked': True, 'consumer_priorities': True, 'authentication_failure_close': True, 'per_consumer_qos': True, 'direct_reply_to': True}, 'cluster_name': 'rabbit@rabbitmq', 'copyright': 'Copyright (c) 2007-2020 VMware, Inc. or its affiliates.', 'information': 'Licensed under the MPL 1.1. Website: https://rabbitmq.com', 'platform': 'Erlang/OTP 23.0.3', 'product': 'RabbitMQ', 'version': '3.8.5'}, mechanisms: [b'PLAIN', b'AMQPLAIN'], locales: ['en_US']
[2020-07-31 15:39:10,680: DEBUG/MainProcess] ^-- sub

shenoy-anurag

Python Naming Conventions:

Classes:

• Case: PascalCase
• Keep it short and descriptive. Preferably a noun e.g. Car, Bird, MountainBike. Avoid acronyms and abbreviations.
• Eg: OrderNumberGenerator() or Order()

Instance Variables:

• Case: snake_case/lower_with_under
• eg: self.items_list = []

shenoy-anurag

import json
import datetime
from bson import ObjectId


def get_mongodb_type(data_type):
    if data_type is None:
        return 'null'
    elif type(data_type) == type(""):
        return "string"

shenoy-anurag

def find(key, dictionary):
    for k, v in dictionary.iteritems():
        if k == key:
            yield v
        elif isinstance(v, dict):
            for result in find(key, v):
                yield result
        elif isinstance(v, list):
            for d in v:
                for result in find(key, d):

shenoy-anurag

import cv2
import numpy as np


def intermediate_scaling(img, intermediate_size):
    (rows, cols) = img.shape
    image_size = max(rows, cols)
    # Rescale to intermediate_size pixels so that image size resembles average size of dataset item.
    # For example a sample character is resized to average size of dataset
    scaling_factor = intermediate_size / image_size

shenoy-anurag

/******************************************************************************
 *                          MSP430G2553 ACLK Test
 *
 * Description: This code can be used to test if you have installed the
 *              32.768kHz crystal on your LaunchPad correctly. Using this code
 *              LED1 (on P1.0) will turn on for 1 second, and off for one
 *              second. You can verify this with either an oscilloscope, logic
 *              analyzer, or by inspection. Simple as that!
 *
 * 				This code was originally created for "NJC's MSP430