Coding Questions with Solutions
Introductory, Interview and Competition Levels
By Huggingface Hub [source]
About this dataset
Codeparrot's Apps dataset provides an invaluable tool for coders of all levels to effectively learn and fully understand the programming language of Python. Through a comprehensive collection of programming questions accompanied by detailed solutions, input/output test cases, and related information written in Python, aspiring coders can quickly explore the mysterious depths of coding with confidence. Comprised of natural language questions alongside their respective solutions in Python, this dataset is a perfect starting point for coders looking to unlock the hidden power behind coding - the ability to create something from nothing! Take your first steps today with Codeparrot's Apps dataset and discover how much you can achieve within this powerful language as you continue your journey into programming
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How to use the dataset
Using this dataset is fairly simple given all its columns are neatly organized in an orderly fashion within one table or CSV file format – unless otherwise stated – so reading through them should be straightforward enough even with minimal coding experience or knowledge on one’s part. All a user needs do is find an appropriate question according to their desired difficulty rating or topic along with correct accompanying information pertains to it - including any relevant starter code provided - then copy & paste those into their local environment while running their test cases supplied against provided input & output values thus verifying if everything works correctly before executing one's own personal modifications or additions in order attempt respond accurately & appropriately at best they can according problem instructions accordingly afterwards sending back response for review/feedback if necessary after completion whenever warranted too appropriately doing so also properly prepare ahead time due additional practicing before appearing within official competitive situations such become quite helpful unexpectedly even unexpected too become thenceforth potentially wholly rewarding unto every learner able put themselves situation whenever likewise opportunity arises successful results inevitably follow then shortly thereafter forget ever worry remaining confused regarding specific matters no more again either whatsoever might prevail occur overnight thus proficiency gained soonest possible manner instead slowly pertaining continuously arduously least preventing further confusion sudden cognitive storms still moreover due accidentally prematurely construed assumptions choosing take broadknowledged approach learning basics saves boatloads sanity time money ultimately goes much further everybody
Research Ideas
- As a teaching and learning tool to help beginners get comfortable with programming in Python.
- As an interview prep tool for experienced coders, since it contains level-specific code examples and test cases for each question.
- As a competition resource, wherein contestants can try out different solutions and compare them against each other to identify the most efficient one within the given data set
Acknowledgements
If you use this dataset in your research, please credit the original authors.
Data Source
License
License: CC0 1.0 Universal (CC0 1.0) - Public Domain Dedication
No Copyright - You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission. See Other Information.
Columns
File: train.csv
| Column name |
Description |
| question |
Natural language question related to coding. (String) |
| solutions |
Set of solutions written in Python for each given question. (String) |
| input_output |
Set of values outlining input and output conditions to test out various solutions given with each question. (String) |
| difficulty |
Rating from 1-5 that indicates how tricky the particular problem is. (Integer) |
| url |
Linking to its original source URL used by Codeparrot for further study or reference purposes. (String) |
| starter_code |
Flexible placeholder column that gives learners flexibility on attempting their own approach on resolving any query while using extra assistance when it is needed. (String) |
File: test.csv
| Column name |
Description |
| question |
Natural language question related to coding. (String) |
| solutions |
Set of solutions written in Python for each given question. (String) |
| input_output |
Set of values outlining input and output conditions to test out various solutions given with each question. (String) |
| difficulty |
Rating from 1-5 that indicates how tricky the particular problem is. (Integer) |
| url |
Linking to its original source URL used by Codeparrot for further study or reference purposes. (String) |
| starter_code |
Flexible placeholder column that gives learners flexibility on attempting their own approach on resolving any query while using extra assistance when it is needed. (String) |
Acknowledgements
If you use this dataset in your research, please credit the original authors.
If you use this dataset in your research, please credit Huggingface Hub.