原文链接:https://towardsdatascience.com/53-python-interview-questions-and-answers-91fa311eec3f本文...
View Code 45.如何用一行代码生成[1,4,9,16,25,36,49,64,81,100] ? View Code 46.一行代码实现删除列表中重复的值 ? View Code 47.如何在函数中设置一个全局变量 ? View Code 48.logging模块的作用?以及应用场景? View Code 49.请用代码简单实现stack View Code 50.常用字符串格式化哪几种? View Cod...
Writing Python code is quick but running it is often slower than compiled languages. Fortunately, Python allows the inclusion of C based extensions so bottlenecks can be optimised away and often are. The numpy package is a good example of this, it's really quite quick because a lot of the ...
53 道 Python 面试题,帮你成为大数据工程师 不久前,我开始担任"数据科学家"的新角色,实际上是"Python工程师"。 如果我提前了解Python的线程生命周期而不是推荐系统,我会做得更好。 本着这种精神,这是我的python面试/工作准备问题和答案。大多数数据科学家编写了大量代码,因此这对科学家和工程师均适用。 无论您...
[on_true] if [expression] else [on_false] x,y = 25,50big = x if x <y else y Q38、为什么使用* args,** kwargs? 当我们不确定将多少个参数传递给函数,或者我们想要将存储的列表或参数元组传递给函数时,我们使用* args。**当我们不知道将多少关键字参数传递给函数时使用kwargs,或者它可以用于将...
要考虑的问题有:内存只有4G无法一次性读入10G文件,需要分批读入分批读入数据要记录每次读入数据的位置。分批每次读取数据的大小,太小会在读取操作花费过多时间。 https://stackoverflow.com/questions/30294146/python-fastest-way-to-process-large-file2.补充缺失的代码def print_directory_contents(sPath): """ 这个...
InterviewQuestions.md First Commit 7年前 README.md 第二部分完成 7年前 README 1、为什么学习Python? 高层语言 :无需考虑如何管理你的程序使用的内存一类的底层细节等。 可移植性 :由于Python的开源本质,它已经被移植在许多平台上。 面向对象 :Python既支持面向过程的编程也支持面向对象的编程。 可扩展性 :Pyt...
Basic Python Interview Questions These are some of the questions you might encounter during an entry-level Python interview. 1. What is Python, and list some of its key features. Python is a versatile, high-level programming language known for its easy-to-read syntax and broad applications....
Answering the Python interview questions can be daunting. You may know how to write Python code. You may even know how to create full-scale Python applications, but sometimes the questions can be tricky. To help you prepare for your next Python job interview or just refresh your knowledge of...
Pandas面试问题》（https://www.stratascratch.com/blog/python-pandas-interview-questions-for-data-...