and is the founder ofStrataScratch, a platform helping data scientists prepare for their interviews with real interview questions from top companies. Connect with him onTwitter: StrataScratchorLinkedIn.
For data analysis and interactive computing and data visualization, Python will inevitably draw comparisons with other open source and commercial programming languages and tools in wide use, such as R, MATLAB, SAS, Stata, and others. In recent years, Python’s improved open source libraries (such...
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# Iterate over the files in the current "root"forfile_entryinfiles:# create the relative path to the filefile_path = os.path.join(root, file_entry)print(file_path) 我们也可以使用root + os.sep() + file_entry来实现相同的效果,但这不如我们使用的连接路径的方法那样符合 Python 的风格。使用...
One language isn’t better than the other—it all depends on your use case and the questions you’re trying to answer: What should I use for machine learning? I need a fast solution, so should I use Python or R? Python vs. R for Data Analysis At DataCamp, we often get emails from...
In this article, we cover the commonly asked Python data interview questions. We also give some sample questions that you might be asked during the interview. Python Data Science Interview Questions and Answers As you prepare for the Python data science interview questions, keep the following in ...
Some questions to ask yourself might include: What are my career goals? Are you aiming for a career in data science, web development, software engineering, or another field where Python is commonly used? What problems am I trying to solve? Are you looking to automate tasks, analyze data, ...
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Python isn’t just a data science tool—it’s a full-fledged programming language. You can use it for data analysis, machine learning, web development, automation, and more. This versatility is why so many data scientists love sticking with it. ...
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