Python Coding Interview Question #3: Binary Tree in Python Image by Author Besides graphs, you’ll also work with binary trees as a data scientist. That’s why it would be useful if you knew how to solve this Python coding interview question asked by likes of DoorDash, Facebook, Microsoft...
Data analysts don’t regularly need to write algorithms. But when they do, it might be something that can help them in data analysis. This data analyst interview question is such an example because it asks you to find the closest sum to the target. This or something similar is done using...
Pythonis a widely-used, high-level programming language that is popular for its simplicity, versatility, and ease of learning. It is used in a wide range of applications, from web development to machine learning and data science. In today’s competitive job market, having a strong understanding...
data, reverse=False): if not reverse for i inrange(len(data) - 1): for j inrange(len(data) - 1 - i): if data[] > data[j+1]: data[j],data[j+1] = data[j+1], data[j] return data else: fori inrange(len(data) - 1): for j inrange(len(data) - 1 - ...
（https://www.stratascratch.com/blog/python-pandas-interview-questions-for-data-science/），它将给...
Get ready for your Google Python interview with these essential questions. Prepare for technical challenges and demonstrate your Python skills.
Python is one of the best programming languages that is used for the domain of Data Science. ZaranTech is offering the definitive Python for Data Science training course for learning Python coding, running it on various systems like Windows, Linux and Mac thus making it one of the highly ver...
Q10: Common Aspects of the ETL Process and Big Data Workflows You might think this a rather odd question, but it’s simply a check of your computer science knowledge, as well as your overall design knowledge and experience. Both workflows follow theProducer-Consumerpattern. A worker (the Prod...
Data Structures String Manipulation Functions Modules, Packages and Standard Libraries Python Libraries for Data Science Reading Data Files in Python Preprocessing, Subsetting and Modifying Pandas Dataframes Sorting and Aggregating Data in Pandas Visualizing Patterns and Trends in Data Programming ...
Tell me about your passion for data science. Do you: attend local meetups, participate in data challenges like Kaggle, work to use data for common good like public data hacking, speak at conferences, write books or articles, etc.?The point of this question is to determine whether the candi...