Python Data Analysis (Coursera) 0 个评论 关注
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Programming for Everybody (Getting Started with Python) (Coursera) 0 个评论 关注
Python for Everybody Specialization (Coursera专项课程) 1 个评论 关注
Introduction to Scripting in Python Specialization (Coursera专项课程) 0 个评论 关注
Программирование на Python (Coursera) 0 个评论 关注
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Основы программирования на Python (Coursera) 0 个评论 关注
Python Programming: A Concise Introduction (Coursera) 0 个评论 关注
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Global Warming II: Create Your Own Models in Python (Coursera) 0 个评论 关注
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2013-05-24 21:37 Codecademy上的API开发课程还是蛮有意思的，包括youtube, evernote, twitter等等api的开发系列，所用语言包括之前学的Javascript, Python, Ruby等。不过课程一般是起个头，要是深入学习还得去看各大应用的官方网站。不过还是很羡慕老外，那么多可用的API，再看看国内～～～ |
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52nlp 评论了课程: Learn to Program: The Fundamentals 2013-10-11 16:54 这门课程总共只有7周，比较适合Python入门，每周视频课程的总长度也不长，作业和编程练习的难度也不大，两位讲课的老师轮番上阵，比较喜欢用在线的Python可视化编辑工具Python Visualizer来观察程序的执行步骤，这个在线工具的却不错。如果有Python基础，这门课程会很轻松，可以用来混个证书。 |
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老爷不要啊啊啊 评论了课程: Algorithms: Design and Analysis, Part 2 2014-07-27 14:52 Part2学了快一年了, 唯一一门尽力了还是跌破90分的课. 确实是相当的困难, 第一次学习能吸收的相当有限. TSP最好使用课上没有讲解的剪枝, 对所给的data set运行时间是不可接受的. 我时间来不及, 几乎放弃, 结果一个南洋理工的计算学博士单骑杀出, 给出了一个贪心的思路, 救我于水火, 神奇般的只要一瞬间(Python). 之后2SAT也只稍逊一筹, 已经用了SCC去优化, 3小时下来也只跑出5个结果.
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基佬的愛__ 评论了课程: Coding the Matrix: Linear Algebra through Computer Science Applications 2013-11-27 13:41 Disclaimer: the review is more or less subjective. I have absolutely no intention to make it objective. You have been informed.
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钛合金蛙眼 评论了课程: High Performance Scientific Computing 2013-07-09 11:10 很实用，内容包括版本控制(git)，语言(fortran, python)，编译调试(makefile)，并行计算(openmp, mpi)，还有一部分科学计算（蒙特卡罗)。十分适合用来学习了解诸多知识点。Coursera上没有编程作业，但是他提供的课程网站有homework（课程是在C站和学校同步开授的)，时间原因没全跟下来，比较花时间。uw开的另一门课程 introduction to data science，也是一门实用的杂烩式课程 |
