Python Coding Interview Question #2: Graph Theory in Python Image by Author This is one of the very interesting Python coding interview questions from StrataScratch. It puts you in a very common yet complex situation of a real-life data scientist. It’s a question by Delta Airlines. Let’s ...
Also, read Amazon Coding Interview Questions, Facebook Coding Interview Questions, and Google Coding Interview Questions for specific insights and guidance on Google Python tech interviews. Having trained over 17,000 software engineers, we know what it takes to crack the toughest tech interviews. Our...
#coding:utf-8 from multiprocessing import Pool import os,time,random def worker(msg): t_start = time.time() print("%s 开始执行,进程号为%d"%(msg,os.getpid())) # random.random()随机生成0-1之间的浮点数 time.sleep(random.random()*2) t_stop = time.time() print(msg,"执行完毕,耗时%...
What is PEP 8? PEP 8 is a coding convention(a set of recommendations) how to write your Python code in order to make it more readable and useful for those after you. For more information checkPEP 8. Do you use virtual environments? I personally and most(by my observation) of the Pyth...
While following PEP 8 is not strictly required, it is considered to be a best practice in Python programming. Many Python projects, libraries, and frameworks have adopted PEP 8 as their coding standard, and many code editors and IDEs have built-in tools to help developers adhere to these gui...
该问题的链接：https://platform.stratascratch.com/coding/9912-lowest-priced-orders?python=1 你有两...
#coding:utf-8 def binary_search(list,item): low = 0 high = len(list)-1 while low<=high: mid = (low+high)/2 guess = list[mid] if guess>item: high = mid-1 elif guess<item: low = mid+1 else: return mid return None
#coding:utf-8 from multiprocessing import Pool import os,time,random def worker(msg): t_start = time.time() print("%s 开始执行,进程号为%d"%(msg,os.getpid())) # random.random()随机生成0-1之间的浮点数 time.sleep(random.random()*2) t_stop = time.time() print(msg,"执行完毕,耗时%...
https://platform.stratascratch.com/coding/9895-duplicate-emails?python=1 这个问题相当简单。你需要使用groupby()函数,按电子邮件分组,并找出每个电子邮件地址出现的次数。然后在电子邮件地址的数量上使用'>'运算符,以获得重复的邮件。 4.文本操作 在处理数据时,你必须对其进行处理,使其更适合于你的分析。文本...
The rest is on you! Practice coding in SQL and Python and solve as many actualdata analyst interview questions. But also don’t forget to use other resources and practice other data analysis skills. Coding is important, but it’s not everything. ...