npm package discovery and stats viewer.

Discover Tips

  • General search

    [free text search, go nuts!]

  • Package details

    pkg:[package-name]

  • User packages

    @[username]

Sponsor

Optimize Toolset

I’ve always been into building performant and accessible sites, but lately I’ve been taking it extremely seriously. So much so that I’ve been building a tool to help me optimize and monitor the sites that I build to make sure that I’m making an attempt to offer the best experience to those who visit them. If you’re into performant, accessible and SEO friendly sites, you might like it too! You can check it out at Optimize Toolset.

About

Hi, 👋, I’m Ryan Hefner  and I built this site for me, and you! The goal of this site was to provide an easy way for me to check the stats on my npm packages, both for prioritizing issues and updates, and to give me a little kick in the pants to keep up on stuff.

As I was building it, I realized that I was actually using the tool to build the tool, and figured I might as well put this out there and hopefully others will find it to be a fast and useful way to search and browse npm packages as I have.

If you’re interested in other things I’m working on, follow me on Twitter or check out the open source projects I’ve been publishing on GitHub.

I am also working on a Twitter bot for this site to tweet the most popular, newest, random packages from npm. Please follow that account now and it will start sending out packages soon–ish.

Open Software & Tools

This site wouldn’t be possible without the immense generosity and tireless efforts from the people who make contributions to the world and share their work via open source initiatives. Thank you 🙏

© 2024 – Pkg Stats / Ryan Hefner

data-structures-and-algorithms-by-javascript

v3.17.0

Published

## 学习计划

Downloads

10

Readme

数据结构与算法

学习计划

学习目标

  • 学会基本数据结构与算法,应对大厂面试题
  • 工作涉及到的数据、算法操作,无压力
  • 熟练掌握王争老师讲的20 个最常用的、最基础数据结构与算法

学习方式

  • 每周三节课,github project 看板规划本周学习内容
  • 涉及代码实现的,输出文档提交 github
  • 搞清楚来历、自身的特点、适合解决的问题、实际应用场景 四大基本问题
  • 输出个人思想总结

20 个最常用的、最基础数据结构与算法

10 个数据结构:数组、链表、栈、队列、散列表、二叉树、堆、跳表、图、Trie 树;

10 个算法:递归、排序、二分查找、搜索、哈希算法、贪心算法、分治算法、回溯算法、动态规划、字符串匹配算法。

数据结构与算法知识图谱