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Website | leetcode.com |
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Website | kaggle.com |
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LeetCode is the best platform to help people practice solving coding problems and prepare for technical interviews. The main users are software engineers. LeetCode has over 1,900 questions covering many different programming concepts.
Based on our record, LeetCode should be more popular than Kaggle. It has been mentiond 511 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
As a self-taught dev, learning the ins-and-outs of Python usually happens as I am solving problems on leetcode or writing random programs in replit. This post is more for myself to remember what I've learned. If you're still interested in reading, then I hope this helps you! - Source: dev.to / 5 days ago
Regularly engaging with problem-solving and algorithm challenges on platforms such as LeetCode, HackerRank, or CodeSignal can significantly sharpen this ability. - Source: dev.to / 9 days ago
If you are interested in algorithms, data structures, and building efficient solutions or just preparing for the coding interview, you are aware of LeetCode and similar websites. Here, I will talk about a data structure called Binary Tree and the ways to build it using the array representation. LeetCode has dozens of such problems to practice with this data structure. - Source: dev.to / 28 days ago
LeetCode: Offers a wide range of problems to practice data structures and algorithms. - Source: dev.to / about 2 months ago
Additional Platforms - HackerRank - Coding challenges in various languages. - LeetCode - Practice coding problems and prepare for interviews. Source: 3 months ago
Need help with last minute python project (due today). Project involves choosing a dataset from kaggle.com to analyze and creating questions to answer through analyzing the data. I have a pdf file of the project guidelines if you want more details. Also on a budget. Source: 9 months ago
Next, you can do basic analysis of datasets in Python using libraries like pandas and scikit-learn. There's a lot of example datasets on kaggle.com. Source: 9 months ago
Also look into kaggle.com and participate in competitions, etc. This will be something you can show on your CV as real-world-experience while boosting your skills. Source: 9 months ago
Take a loot at the Open Images dataset or Kaggle. Source: 9 months ago
If you took a good database course and a good data science/data analytics/informatics course in college, you likely have the knowledge you need for the PBQs. Looking at the "Given a scenario..." objectives for the Data+, I think I would practice up basic SQL, then fire up PowerBI/RStudio/Jupyter Notebook/whatever your favorite visualization tool is and take some real-world data from kaggle.com and make some... Source: 10 months ago
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