A lot of online courses for coding skills are available nowadays, both free and non-free. I will collect this kind of websites (ever spent some hours on each one) here.

1. Coursera: Free

https://www.coursera.org/

A nice MOOC website for various courses, some coding lessons also.

2. codecademy: Free

http://www.codecademy.com

A coding course website on web programming. I have completed some lessons on it. All courses are interactive and contain pieces of code to each task.

3. Treehouse: Non-free

http://teamtreehouse.com

This is the first one I paid some $$ to learn, though still on a free-trial plan until next month. It has some course other than coding, both design and business, such as how to be a freelancer.

4 codeschool : Non-free

https://www.codeschool.com/

Another non-free coding course website with lesson in more content of programming.

5 Microsoft Virtual Academy: Free

http://www.microsoftvirtualacademy.com

Trainings on Microsoft technologies.

6 imooc(慕课网): free

这里介绍的第一个中文网站,主要的课程以前端和Java为主。

7. codewar: free

Learning coding online的更多相关文章

  1. How do I learn machine learning?

    https://www.quora.com/How-do-I-learn-machine-learning-1?redirected_qid=6578644   How Can I Learn X? ...

  2. PredNet --- Deep Predictive coding networks for video prediction and unsupervised learning --- 论文笔记

    PredNet --- Deep Predictive coding networks for video prediction and unsupervised learning   ICLR 20 ...

  3. Representation Learning with Contrastive Predictive Coding

    目录 概 主要内容 从具有序的数据讲起 Contrastive Predictive Coding (CPC) 图片构建序 Den Oord A V, Li Y, Vinyals O, et al. ...

  4. Machine learning吴恩达第二周coding作业(选做)

    1.Feature Normalization: 归一化的处理 function [X_norm, mu, sigma] = featureNormalize(X) %FEATURENORMALIZE ...

  5. Machine learning 吴恩达第二周coding作业(必做题)

    1.warmUpExercise: function A = warmUpExercise() %WARMUPEXERCISE Example function in octave % A = WAR ...

  6. machine learning in coding(python):使用贪心搜索【进行特征选择】

    print "Performing greedy feature selection..." score_hist = [] N = 10 good_features = set( ...

  7. Programming Learning - Based on Project

    Today when taking a bath I got a good idea that it is an efficient and interesting way to learn a ne ...

  8. Dictionary Learning(字典学习、稀疏表示以及其他)

    第一部分 字典学习以及稀疏表示的概要 字典学习(Dictionary Learning)和稀疏表示(Sparse Representation)在学术界的正式称谓应该是稀疏字典学习(Sparse Di ...

  9. paper 124:【转载】无监督特征学习——Unsupervised feature learning and deep learning

    来源:http://blog.csdn.net/abcjennifer/article/details/7804962 无监督学习近年来很热,先后应用于computer vision, audio c ...

随机推荐

  1. 07.基于IDEA+Spring+Maven搭建测试项目--logback.xml配置

    <?xml version="1.0" encoding="UTF-8"?> <configuration> <!-- 控制台日志 ...

  2. poj2828 Buy Tickets (线段树 插队问题)

    Buy Tickets Time Limit: 4000MS   Memory Limit: 65536K Total Submissions: 22097   Accepted: 10834 Des ...

  3. 【Revit API】梁的净高分析

    原理就是,先从梁的LocationCurve上取点,然后向板的上表面投影.如果有投影点,再从投影点(板上)向梁的底面投影,这时候如果有投影点的话就能得到距离了. 运用该分析的第一条件是梁是在板的上方, ...

  4. 解题:SHOI 2006 有色图

    题面 本质上是在对边求置换,然后每个循环里涂一样的颜色,但是还是要点上入手,考虑每条边的两个端点是否在一个循环里 如果在一个循环里,那么当循环长度$len$为奇数时只有转一整圈才行,而边的总数是$\f ...

  5. 将Sql查询语句获取的数据插入到List列表里面

    Sql查询语句获取的数据是分格式的,我们还用SqlDataReader来做,然后用IDataReader来接收读取,以下是代码: //我想查询一个用户表的信息,该用户有姓名,密码,信息三列 //1.定 ...

  6. Spark记录-Scala异常与处理

    Scala try-catch语句 Scala提供try和catch块来处理异常.try块用于包含可疑代码.catch块用于处理try块中发生的异常.可以根据需要在程序中有任意数量的try...cat ...

  7. web html 基础2

    1.表格<table> 行 tr,没有列的说法,只是单元格td table里面只能仿tr,tr里面只能放td,td可以嵌套任何标签 表格属性 border 边框, cellspacing ...

  8. 在Ubuntu14.04 64bit上搭建单机Spark环境,IDE为Intelli IDEA

    在Ubuntu14.04 64bit上搭建单机Spark环境,IDE为Intelli IDEA 一. 环境 Ubuntu14.04 64位    JDK 1.8.0_73    scala-2.10. ...

  9. Java SSM框架之MyBatis3(七)MyBatis之参数取值

    在mybatis中,参数取值方式有两种:#{ } 和 ${ } 一.#{ } select * from student where name=#{name} 编译后执行的sql语句: select ...

  10. javascript鼠标拖拽的那些事情

    <html> <head> <title>javascript鼠标拖拽的那些事情</title> <meta http-equiv="C ...