Jupyter
Looker
Google BigQuery
Databricks
Presto DB
Rakam
Informatica
Concurrent
CodeInterview.io
coderpad
HackerRank Interview
Codility
Coderbyte
CodeSignal
HackerRank
HackerEarth
CodeInterview allows you to interview developers in an online collaborative code editor.
With CodeInterview, you can: - Hire developers who can make an immediate impact - CodeInterview removes any question of technical skill so you can zero in on the candidates with the most potential. - Simplify decision making - see the process the candidate went through to create their solution so you get a better understanding of their skills. - Speed up technical hiring - involve the right stakeholders at the right time in one simple yet powerful interview tool. This way, you'll minimize time going back and forth between emails, spreadsheets and calendar events.
Learn more and get started for free at https://codeinterview.io/.
Jupyter CodeInterview.ioBased on our record, Jupyter seems to be more popular. It has been mentiond 224 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.
Pre-configured environment. A working VM or container with Jupyter, pandas, scikit-learn, and transformers already installed. Realistic security datasets loaded. GTK Cyber students work in the Centaur VM, a free Apache 2.0 portable lab. If the first hour of training is fighting CUDA installs, the course is not ready. - Source: dev.to / 2 months ago
Pre-configured environment. A good course ships a VM or container with Jupyter, pandas, scikit-learn, PyTorch or transformers, and realistic security datasets loaded. GTK Cyber students work in the Centaur VM, a free Apache 2.0 portable lab. No setup tax. - Source: dev.to / 2 months ago
Or open test_mcp_timeout.ipynb in Jupyter, JupyterLab, VS Code, or your preferred notebook environment. - Source: dev.to / 3 months ago
Jupyter notebooks work well for hunt investigations because they combine code, output, and narrative in a single file. The risk is notebooks becoming unreadable ad-hoc sessions. Use consistent data loading patterns from the start. - Source: dev.to / 3 months ago
Jupyter Notebooks - Essential for exploratory data analysis and sharing your findings. - Source: dev.to / 4 months ago
Looker - Looker makes it easy for analysts to create and curate custom data experiencesโso everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.
coderpad - Collaborative code editor with in-browser, real-time execution. Conduct programming phone screens like a boss.
Google BigQuery - A fully managed data warehouse for large-scale data analytics.
HackerRank Interview - An all-in-one solution for remote technical interviewing.
Databricks - Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.โWhat is Apache Spark?
Codility - Codility provides a SaaS platform with advanced validation, security and protection features to evaluate the skills of software engineers.
