Matplotlib
Pandas
NumPy
Seaborn
D3.js
Plotly
GnuPlot
Jupyter
TestGorilla
HackerRank
iMocha
mettl
Codility
eSkill
Mettl Online Exams Software
HireVue
Matplotlib TestGorillaNo TestGorilla videos yet. You could help us improve this page by suggesting one.
Weโve been using TestGorilla as part of our hiring process to screen applicants before bringing them into interviews, and itโs proven quite useful. The idea is simple but helpful: instead of spending hours reviewing resumes, you give candidates a relevant test right away. Seeing how people perform on real job-related tasks gives us a much clearer picture early on.
The test library is broad, covering everything from coding challenges and software proficiency to logical thinking and communication skills. Setting up and sending tests doesnโt take long, and the results are laid out in a clear way that makes comparison between applicants straightforward.
Where it falls a bit short is in the depth of some tests โ a few feel like theyโre too surface-level to really separate top performers from average ones. Creating your own custom assessments is possible, but the interface for doing that could use refinement. Also, once you scale up hiring, costs add up โ especially if every team needs access.
Overall, TestGorilla adds real value to the recruiting process by helping weed out unfit candidates early and giving objective data on skills โ which is why I give it 4 out of 5 stars.
Based on our record, Matplotlib seems to be a lot more popular than TestGorilla. While we know about 114 links to Matplotlib, we've tracked only 1 mention of TestGorilla. 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.
In February, an AI agent named MJ Rathbun submitted a pull request to matplotlib โ the Python plotting library used by half the scientific computing world. Scott Shambaugh, a volunteer maintainer, rejected it. Standard code review. Nothing unusual. - Source: dev.to / 4 months ago
Numbers are useful, but sometimes itโs easier to spot patterns when you can actually see your data. Pandas works seamlessly with Matplotlib, a popular Python library for creating visualizations. Together, they make it easy to turn raw numbers into clear charts. - Source: dev.to / 7 months ago
We are storing the results in JSON files, which we combine, analyze and visualize using matplotlib in Python. Here's the structure of a benchmark result file:. - Source: dev.to / 7 months ago
NetworkX and Matplotlib were used to visualize the graph structure of the agent. - Source: dev.to / 9 months ago
The book introduces the core libraries essential for working with data in Python: particularly IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and related packages Familiarity with Python as a language is assumed; if you need a quick introduction to the language itself, see the free companion project, Aโฆ. - Source: dev.to / 10 months ago
What I had in mind was using either SHL-style aptitude tests, or third party assessments like testgorilla.com rather than a take-home exercise that I'd be moderating. I also remembered doing an online knowledge test of various web technologies when I used to be a web-dev - which could be useful for assessing Unity/C# knowledge. Source: over 3 years ago
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
HackerRank - HackerRank is a platform that allows companies to conduct interviews remotely to hire developers and for technical assessment purposes.
NumPy - NumPy is the fundamental package for scientific computing with Python
iMocha - Make intelligent talent decisions.
Seaborn - Seaborn is a Python data visualization library that uses Matplotlib to make statistical graphics.
mettl - Mettl is a #SaaS based Online #Assessment Platform which helps you measure a candidate's #Aptitude, #Technical skills & conduct
