Codility
HackerRank
CodeSignal
iMocha
HackerEarth
TestGorilla
DevSkiller
TestDome
Seaborn
Matplotlib
Pandas
Quantopian
NumPy
QuantConnect
Backtrader
CloudQuant
The Codility platform includes:
CodeCheck - Design role-specific remote skills assessments to screen your technical candidates before moving them to the interview stage.
CodeLive - Host technical remote or onsite interviews via our shared editor using a range of templates and whiteboards.
CodeEvent - Assess thousands of candidates at a time via technical recruiting events and find the best talent faster.
Codility
SeabornBased on our record, Seaborn seems to be a lot more popular than Codility. While we know about 37 links to Seaborn, we've tracked only 2 mentions of Codility. 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.
- Technical skills: have they got the walk to match the talk? Programming languages on a resume mean little if candidates are unable to demonstrate their hard coding skills. You can test these skills with technical skill tests, such as the ones created by Codility or HackerRank. - Source: dev.to / about 2 years ago
Codility : Verify and improve coding skills. - Source: dev.to / over 5 years ago
Below are the key insights. If you want to see the Python code I used to do this analysis and generate the charts using Seaborn, you can find my full analysis Jupyter notebook on my Github repo here: Tip Analysis.ipynb. - Source: dev.to / about 1 year ago
Additionally, Seaborn (https://seaborn.pydata.org/) is a great mention for people that want to use Matplotlib with better default aesthetics, amongst other conveniences: "Seaborn is a Python data visualization library based on matplotlib. It provides a high-level interface for drawing attractive and informative statistical graphics.". - Source: Hacker News / almost 2 years ago
Seaborn: built on top of matplotlib, adds a number of functions to make common statistical visualizations easier to generate. - Source: dev.to / almost 2 years ago
Pandas - The standard data analysis and manipulation tool Numpy - scientific computing library Seaborn - statistical data visualization Sklearn - basic machine learning and predictive analysis CausalML - a suite of uplift modeling and causal inference methods PyTorch - professional deep learning framework PivotTablejs - Dragโnโdrop Pivot Tables and Charts for Jupyter/IPython Notebook LazyPredict - build... - Source: dev.to / almost 2 years ago
How to Accomplish: Utilize visualization libraries like Matplotlib, Seaborn, or Plotly in Python to create histograms, scatter plots, and bar charts. For image data, use tools that visualize images alongside their labels to check for labeling accuracy. For structured data, correlation matrices and pair plots can be highly informative. - Source: dev.to / about 2 years ago
HackerRank - HackerRank is a platform that allows companies to conduct interviews remotely to hire developers and for technical assessment purposes.
Matplotlib - matplotlib is a python 2D plotting library which produces publication quality figures in a variety...
CodeSignal - CodeSignal is the leading assessment platform for technical hiring.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
iMocha - Make intelligent talent decisions.
Quantopian - Your algorithmic investing platform