Nate Rosidiis a data scientist and in product strategy. He's also an adjunct professor teaching analytics, 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: StrataScratchorL...
Nate Rosidiis a data scientist and in product strategy. He's also an adjunct professor teaching analytics, 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: StrataScratchorL...
These are the types of basic Python interview questions for freshers. Slicing is a technique that allows us to retrieve only a part of a list, tuple, or string. For this, we use the slicing operator []. (1,2,3,4,5)[2:4] (3, 4) [7,6,8,5,9][2:] [8, 5, 9] 'Hello'...
· Implemented robust data integrity and accuracy checks, reduced data errors by 25% and ensured reliable data for business operations. · Led the development of multiple sub-modules, including a real-time data analytics module using Pandas and Numpy, which enhanced data processing capabilities and ...
Free Coding Exercises for Python Developers. Exercises cover PythonBasics,Data structure, toData analytics. This page contains18 topic specific exercises with 220+ coding questionsto practice. What included in these Python Exercises? Each exercise contains coding assignments focused on a specific Python ...
This guide cover over 250+ Interview Questions with detailed answers. We have created separate articles for each topic to ensure a solid understanding of the concepts.Python Exercises Free Coding Exercises for Python Developers. Exercises cover Python Basics, Data structure, to Data analytics. As of...
1. What type of Python questions should I expect in a coding interview? In coding interviews, you may be asked to solve problems involving data structures (e.g., lists, dictionaries, sets), algorithms (e.g., sorting, searching), and real-world scenarios requiring Python libraries. Questions...
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Areas such as machine learning (ML), deep learning, data analytics, visualisation, big data and business intelligence use Python extensively. A basic understanding of these concepts can help you extract valuable insights from large amounts of intelligence and make predictions and forecasts. Here are...
Data science and analytics.Performing data analysis, visualization, and complex computational scientific simulations. Automation and scripting.Writing scripts to automate mundane tasks, from simple file manipulations to complex network configurations.