mohitsh

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mohitsh

from pytz import timezone

now_ist = datetime.now(tz=timezone("Asia/Kolkata"))

# set timezone

datetime_object.astimezone(timezone("Asia/Kolkata"))

mohitsh

import concurrent.futures
import multiprocessing

processing_thread_count =processing_thread_count = multiprocessing.cpu_count() -1 

with concurrent.futures.ThreadPoolExecutor(max_workers=processing_thread_count) as executor:
   future_to_response = {executor.submit(function, arg1, arg2): i for i, msg in enumerate(a_list)}

for future in concurrent.futures.as_completed(future_to_response):
    response = future_to_resonse[future]

mohitsh

import concurrent.futures

processing_thread_count = multiprocessing.cpu_count() - 1

with concurrent.futures.ThreadPoolExecutor(max_workers=processing_thread_count) as executor:
   future_to_response = {executor.submit(function, arg1, arg2): i for i, msg in enumerate(a_list)}

for future in concurrent.futures.as_completed(future_to_response):
    response = future_to_resonse[future]
                

mohitsh

import matplotlib.pyplot as plt
plt.plot(x, y, "o")
plt.plot(x, y_curve)
plt.show()

#################

def plot(x, y, title="Plot Title", xlabel='Xaxis', ylabel='Yaxis', dpi=100):
  plt.figure(figsize=(16, 5), dpi=dpi)
  plt.scatter(x, y, color='tab:red')

mohitsh

df["time_stamp"].dt.floor('min') 

mohitsh

with open(file_path, 'r') as f:
  token = f.readline()
  
with open(file_path, 'w', encoding='utf-8') as f:
  f.write(string_to_write)

mohitsh

import pandas as pd
iter_csv = pd.read_csv('file.csv', iterator=True, chunksize=1000)
df = pd.concat([chunk[chunk['field'] > constant] for chunk in iter_csv])

mohitsh

headers = {'header-key': 'header-val'}
payload = {'key1':'val1', 'key2':'val2', 'key3':'val3'}
r = requests.post(endpoint, headers=headers, data=payload)

mohitsh

ipython kernel install --user --name=venv