Pythonhtml
1. 深刻Python 3 (不錯的在線學習python的網站)java
http://woodpecker.org.cn/diveintopython3/python
2. 基本語法 (適合快速瞭解)git
http://www.tutorialspoint.com/python/index.htmgithub
3. Python的算法 (形象,易懂)算法
http://interactivepython.org/courselib/static/pythonds/index.htmldjango
4. Python 實戰練習(強烈推薦)windows
5. 天然語言工具NLTKapp
http://nltk.googlecode.com/svn/trunk/doc/api/nltk-module.html
6. Python Window擴展包
http://www.lfd.uci.edu/~gohlke/pythonlibs/#python-dateutil
7. 相關Blog
http://www.the5fire.com/auto-deploy-tool-for-python-app.html
http://www.markhneedham.com/blog/
8. 語法規範
http://www.iteye.com/topic/1092772
9.Django
http://nahimnasser.github.io/django-unchained/
9.其它一些綜合網站:
http://www.itpub.net/thread-1319231-1-1.html
http://www.techinasia.com/python-learning-free/
http://stackoverflow.com/questions/tagged/python
Java
1. Java 學習之路
http://tieba.baidu.com/f?kz=467836223 (路線)
http://www.cnblogs.com/xing----hao/p/3414233.html (如何閱讀源代碼)
http://www.ibm.com/developerworks/cn/java/newto/(新手入門方向)
2. 100個高質量的博客
http://www.importnew.com/7469.html
3. 一個不錯的學習網站
4. 大牛博客
http://jenkov.com/ (包含Java學習指南)
http://javapapers.com/core-java/java-puzzle-commented-code-compiles/
5. Code for interview
6. 工做tips
7. Introduce to program in Java.
http://introcs.cs.princeton.edu/java/home/ (看起來不錯,沒看)
8. Java Free code
http://www.java2s.com/Open-Source/Java_Free_Code/index.htm (沒看,貌似不錯)
Hadoop
Data Mining
1. 一個強大的學習數據的網站(+ python)
http://www.whizage.org/learn-to-do-data-analysis-using-python/
2. 天然語言資源列表
3. 數據
http://mldata.org/repository/task/
http://archive.ics.uci.edu/ml/
4.博客
5.網站
http://saedsayad.com/naive_bayesian.htm
6.中文blog
http://blog.csdn.net/v_july_v/article/details/7577684 (典型數據挖掘算法+實現)
http://blog.csdn.net/yangliuy/article/details/7400984 (JAVA實現)
http://blog.pluskid.org/?cat=4
http://machinelearningmastery.com/
7.軟件
8. Scikit Python + ML
http://scikit-learn.org/stable/user_guide.html
9 Weka ML+ Java
http://weka.wikispaces.com/Use+WEKA+in+your+Java+code
10 DC
http://datacommunitydc.org/blog/about/data-community-dc/
11 resource
http://www.quora.com/Machine-Learning/What-are-some-good-resources-for-learning-about-machine-learning
Others