importdatetime# 获取当前日期和时间current_datetime=datetime.datetime.now()print("Current Date and Time:",current_datetime)# 格式化日期时间formatted_datetime=current_datetime.strftime("%Y-%m-%d%H:%M:%S")print("Formatted Date
base, filetype, linkList) for leftover in linkList: time.sleep(0.1) #wait 0.1 seconds to avoid overloading server linkText = str(leftover.get('href')) print "Parsing" + base + linkText br = mechanize.Browser() r = br.open
dirs, files in os.walk('.', topdown=False): for name in dirs: dir_path = os.pa...
format(value, num_times)) def analyze_data(): data = get_data_from_user() results = {} config = load_config() for value in data: if config.getboolean('allow_duplicates'): try: results[value] = results[value] + 1 except KeyError: results[value] = 1 else: results[value] = 1 re...
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#setthedefaultDjango settings moduleforthe'celery'program.os.environ.setdefault('DJANGO_SETTINGS_MODULE','config.settings.local')app=Celery('celery_uncovered')# Using a string here means the worker will not have to # pickle the object when using Windows.app.config_from_object('django.conf:settin...
The course is designed for beginners and takes around three weeks to complete. You can work through it independently, with interactive quizzes to keep you engaged. It prepares you for follow-up courses like the Data Analyst Nanodegree program. Although there are no formal prerequisites, some ...
This example shows how we can suspend a program for 30 seconds. We recorded the time before and after calling the sleep() function just to confirm the time taken while on pause. As expected, it took about 30 seconds.NB: Here, we made it easy to read by using the round() function ...
An example first program that computes the lengths of random 3D vectors is given below: import warp as wp import numpy as np num_points = 1024 @wp.kernel def length(points: wp.array(dtype=wp.vec3), lengths: wp.array(dtype=float)): # thread index tid = wp.tid() # compute distance...
layouts import gridplot output_notebook() # 从包含bili_history的excel文件导入数据 data_dir = r'D:\Program\JupyterNotebook' identifier = 'bili_history' df = pd.DataFrame() for file_name in os.listdir(data_dir): if file_name.startswith(identifier) and file_name.endswith('.xlsx'): f...