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.
If reading these questions makes you worry you wouldn’t be able to answer a lot of them, don’t worry. You can definitely improve your Python skills with specific courses like GoSkills' Intro to Python or Python for Data Analysis. In this resource, we'll explore: 1. What kind of lang...
In this blog, we'll look at all the topics that come under Python Data Science to make you interview-ready. All these interview questions are collected after consulting with MindMajix's Python Data Science certification training experts. For your better understanding, we have segregated the questi...
Python Interview Questions for Freshers 1. What is __init__? 2. What is the difference between Python Arrays and lists? 3. Explain how can you make a Python Script executable on Unix? 4. What is slicing in Python? 5. What is docstring in Python? 6. What are unit tests in Python...
In this tutorial, you’ll use Python to perform some descriptive analysis techniques on your james_bond_data_cleansed.csv data file to answer the questions that your boss asked earlier. It’s time to dive in and see what you can find. The purpose of the analysis stage in the workflow dia...
Section 1 consists of 4 chapters that get you started with data analysis as quickly and effectively as possible. You’ll learn how to use JupyterLab and Jupyter Notebooks to organize and develop your analyses. You’ll learn how to use a subset of the Pandas module for data analysis and vis...
Outside of an internet search, the various scientific and data-related Python mailing lists are generally helpful and responsive to questions. Some to take a look at include: pydata: A Google Group list for questions related to Python for data analysis and pandas ...
Stack Overflow 社区：Newest 'python' Questions Flask 官网：http://flask.pocoo.org/ Requests 官网：...
data = pd.read_csv('filename.csv') 问题: 解释Python 中列表和 NumPy 数组的区别。 答: 列表是基本的 Python 数据结构,而 NumPy 数组专门用于数值运算。NumPy 数组是同质的,支持矢量化操作,因此在数值计算中效率更高。 问题: 如何处理 Pandas 数据框中的缺失值? 答: Pandas 中的 dropna() 和fillna() ...
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...