The latest 202 Python Engineer interview questions have been updated! Show me some random answers and see if you can answer them:
1) What design patterns are used to automate code?
2) Will Python have memory leaks? What’s the reason?
3) What is super for? What’s the difference between Python2 and Python3? Why use super?
4) UI automation, how to do clustering?
5) What is the difference between class methods, class instance methods, and static methods in Python?
6) How to automate the test of functions containing verification codes?
7) What is an assertion?
Don’t look down upon these questions. They ask you about specific knowledge points through reference and then interview. The test is full of work experience!
Understanding it is your first door to being a Python engineer, a crawler, and a data analyst.
To help you, six Star education has prepared a set of [live] courses entitled “Getting Started with Python crawlers and Data Visualization: Data Acquisition + Data Presentation Training Camp”.
** You read that right! A lot of content is the whole network, on-site interaction with teachers q&A.
With the mission of “Improving competitiveness for every IT person”, six Star Education aims to help students improve their technical skills, strengthen their core competitiveness and realize their dream of high salary through online learning.
Five years of Python research and development experience, former senior technical director of netease game project, proficient in crawler, data analysis, automation, Web backend development and artificial intelligence.
The speaker of the second day: Helen, director of teaching research and development of Python College, graduated from Central South University and used to work as an architect in Baidu. She is a code goddess in students’ hearts and a woman who dares to think and do!!
Yes, you read that right!
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First day of training camp
1. Basic Python syntax
2. Explain Python functions
Python data types
4. Python automates file handling
Day two of training camp
1. Basic principles of crawlers
2. Use related modules of data visualization
3. Data collection and analysis
Dynamic data parsing
The whole training camp is live online, ** [free participation] **, and you can get preview materials for free.
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