- Introduction
- Data Structures
- Algorithms
- Languages
- Support
- Project Progress
- Contributing
- Authors and acknowledgment
- License
- Maintainers
Anyone Interested in managing the repository for the upcoming HacktoberFest2021, email us at [email protected]
- Must be a student
- Must have knowledge of Git Commands ex- branching, merging etc
- Must have Python/C++ DS and Algo knowledge to review code.
Data structures & algorithms are an essential part of programming. They both fall under the fundamentals of computer science. Understanding these gives us the advantage of writing better and more efficient code in less time. They are key topics when it comes to acing software engineering interview questions, so as developers, we must have knowledge of data Structure and algorithms.
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In computer science, a data structure is a data organization, management, and storage format that enables efficient access and modification.
Data structure is a way or a format in which your data is stored in memory for efficient usage and retrieval.
An algorithm is a set of instructions that are used to accomplish a task, such as finding the largest number in a list, removing all the red cards from a deck of playing cards, sorting a collection of names, or figuring out an average movie rating from just your friends' opinions.
Algorithms are not limited to computers. They are like a set of step-by-step instructions or an even a recipe, containing things you need, steps to do, the order to do them, conditions to look for, and expected results.
- C++
- Python
- Java
- JavaScript
Check Contribution Guide Before Contribution.
Before submitting a bug, please do the following: Check Contribution Guide Before Contribution.
- Create separate issues for Python and C++.
- You can only work on issues that you have been assigned to.
- Use Flake8 locally for linting Python Code.
pip install flake8. (We have linting checks so if your code fails it we will not merge the PR.)
Show your appreciation to those who have contributed to the project.
For open-source projects, Under MIT License.
