EPIJudge
xeus-python
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| EPIJudge | xeus-python | |
|---|---|---|
| 4 | 2 | |
| 2,756 | 416 | |
| - | 1.7% | |
| 0.0 | 7.4 | |
| 3 months ago | 13 days ago | |
| C++ | C++ | |
| GNU General Public License v3.0 or later | BSD 3-clause "New" or "Revised" License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
EPIJudge
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Using VS CODE
I don't know about Leetcode. But there is an off line test suite you can download for the problems of EPI (for Python, Java, and C++). https://github.com/adnanaziz/EPIJudge
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Elements of Programming Interviews Judge Golang
Anyone still using Elements of Programming Interviews out there? I still do... As they don't support Go, I have implemented a Go version of their EPI Judge. This allows to check that a solution passes all the tests included by the authors in the original EPI Judge. Here it is, in case it can be of use to anyone preparing for interviews: https://github.com/stefantds/go-epi-judge (in case it helps, here you can also find my solutions to the problems from the book: https://github.com/stefantds/go-epi-solutions )
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data structures and algorithms for data science
Both books are good, but I lean towards EPI as it has practice problems in the specific language you want.
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Where do you put your input files and others partially related to project ones?
I’ve done DSA problems from a book that has a companion repository with all the problems and it has a test_data/ directory with the test cases: https://github.com/adnanaziz/EPIJudge
xeus-python
- Depurar Python como un Pro
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What's new in Elyra 2.0
As of January 2021, the only Jupyter Python kernel that supports debugging is xeus-python.
What are some alternatives?
LeetCode-Solutions - A compilation of all the Leetcode solutions.
elyra - Elyra extends JupyterLab with an AI centric approach.
FlatBuffers - FlatBuffers: Memory Efficient Serialization Library
xeus - Implementation of the Jupyter kernel protocol in C++
timemory - Modular C++ Toolkit for Performance Analysis and Logging. Profiling API and Tools for C, C++, CUDA, Fortran, and Python. The C++ template API is essentially a framework to creating tools: it is designed to provide a unifying interface for recording various performance measurements alongside data logging and interfaces to other tools.
jupyterlab-lsp - Coding assistance for JupyterLab (code navigation + hover suggestions + linters + autocompletion + rename) using Language Server Protocol
go-epi-judge - EPI Judge for Golang (Elements of Programming Interviews Judge for Go)
argo - Workflow Engine for Kubernetes