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I have two numpy arrays, the first one is (30, 365) and contains values for for 30 depths throughout the year, the second array is (30, 1) and contains the actual depth (in meters) corresponding to the depths in the first array. I want to plot the first array so the depths are scaled according to the second array but I also want the data to be interpolated (the first few depths are relatively close together while lower depths are far apart, providing a blocky look to the pcolor image.)
This is what i'm doing:
import numpy as np
import matplotlib.pyplot as plt
x = np.arange(0, 365, 1)
X, Y = np.meshgrid(x, depth)
#depth is the (30, 1) array
plt.pcolor(X, -Y, data)
#data is the (30, 365) array
which results in the blocky look, any ideas on how I could get a smoother looking graph?
Are your depths on a regular grid (ie, constant spacing)? If so, you can use imshow and set the range with the extent keyword and aspect='auto'. Otherwise, you have two choices.
You can use pcolormesh instead and use shading='gouraud'. This will help with the sharp colour quantisation, but not as good as interpolation.
The second choice is to interpolate data to a new regular depth grid, so you can use imshow and the different interpolation options. For example, to interpolate only along the depth direction you can use scipy's interpolate.interp1d:
from scipy.interpolate import interp1d
fint = interp1d(depth, data.T, kind='cubic')
newdata = fint(newdepth).T
The .T were added because interpolation has to be on the last index, and depth is the first index of your data. You can replace kind by 'linear' if you prefer.
11.5k75172
no, pcolor doesn't do interpolation. You can try NonUniformImageor even imshow instead. Check out the examples
5,69073859
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&/p&&p&6. &a href=&//link.zhihu.com/?target=https%3A//github.com/bitprophet& class=& wrap external& target=&_blank& rel=&nofollow noreferrer&&bitprophet&/a&。fabric、paramiko（Python的ssh库）作者。&/p&&p&前2个是公认的Python领域代码写的最好的、最有创意的工程师。&/p&&br&&p&&b&初学者推荐阅读项目&/b&&/p&&br&&p&初学者可以先阅读一些代码量比较少的，最好是单文件的项目：&/p&&p&1. &a href=&//link.zhihu.com/?target=https%3A//github.com/kennethreitz/pip-pop& class=& wrap external& target=&_blank& rel=&nofollow noreferrer&&GitHub - kennethreitz/pip-pop: Tools for managing requirements files.&/a& &/p&&p&2. &a href=&//link.zhihu.com/?target=https%3A//github.com/kennethreitz/envoy& class=& wrap external& target=&_blank& rel=&nofollow noreferrer&&GitHub - kennethreitz/envoy: Python Subprocesses for Humans(TM).&/a&&/p&&p&3. &a href=&//link.zhihu.com/?target=https%3A//github.com/kennethreitz/records& class=& wrap external& target=&_blank& rel=&nofollow noreferrer&&GitHub - kennethreitz/records: SQL for Humans(TM)&/a&&/p&&p&4. &a href=&//link.zhihu.com/?target=https%3A//github.com/mitsuhiko/pluginbase& class=& wrap external& target=&_blank& rel=&nofollow noreferrer&&GitHub - mitsuhiko/pluginbase: A simple but flexible plugin system for Python.&/a&&/p&&p&5. &a href=&//link.zhihu.com/?target=https%3A//github.com/mitsuhiko/pipsi/& class=& wrap external& target=&_blank& rel=&nofollow noreferrer&&GitHub - mitsuhiko/pipsi: pip script installer&/a&&/p&&p&6. &a href=&//link.zhihu.com/?target=https%3A//github.com/mitsuhiko/unp& class=& wrap external& target=&_blank& rel=&nofollow noreferrer&&GitHub - mitsuhiko/unp: Unpacks things.&/a&&/p&&p&7. &a href=&//link.zhihu.com/?target=https%3A//github.com/chrisallenlane/cheat/& class=& wrap external& target=&_blank& rel=&nofollow noreferrer&&GitHub - chrisallenlane/cheat&/a&&/p&&p&8. &a href=&//link.zhihu.com/?target=https%3A//github.com/jek/blinker& class=& wrap external& target=&_blank& rel=&nofollow noreferrer&&GitHub - jek/blinker: A fast Python in-process signal/event dispatching system.&/a&&/p&&p&9. &a href=&//link.zhihu.com/?target=https%3A//github.com/mitsuhiko/platter/& class=& wrap external& target=&_blank& rel=&nofollow noreferrer&&GitHub - mitsuhiko/platter: A useful helper for wheel deployments.&/a& &/p&&p&10. &a href=&//link.zhihu.com/?target=https%3A//github.com/kennethreitz/tablib& class=& wrap external& target=&_blank& rel=&nofollow noreferrer&&GitHub - kennethreitz/tablib: Python Module for Tabular Datasets in XLS, CSV, JSON, YAML, &c.&/a& &/p&&p&看代码主要是了解别人写代码的方式，语法实践这些内容。看完之后，你可以针对这些项目能解决的问题自己写个项目，写完之后和上述项目去对比一下，看看哪些方面做的不好。&/p&&br&&p&&b&进阶阅读项目&/b&&/p&&br&&p&进阶的时候就要阅读一些相对复杂的项目，它们能帮助你提升Python编程技巧：&/p&&p&1. &a href=&//link.zhihu.com/?target=https%3A//github.com/faif/python-patterns& class=& wrap external& target=&_blank& rel=&nofollow noreferrer&&faif/python-patterns&/a&。使用Python实现一些设计模式的例子。&/p&&p&2. &a href=&//link.zhihu.com/?target=https%3A//github.com/pallets/werkzeug& class=& wrap external& target=&_blank& rel=&nofollow noreferrer&&pallets/werkzeug&/a&。flask的WSGI工具集。其中包含了实现非常好的LocalProxy、cached_property、import_string、find_modules、TypeConversionDict等。&/p&&p&3. &a href=&//link.zhihu.com/?target=https%3A//github.com/bottlepy/bottle& class=& wrap external& target=&_blank& rel=&nofollow noreferrer&&bottlepy/bottle&/a&。阅读一个Web框架对Web开发就会有更深刻的理解，flask太大，bottle就4k多行，当然如果你有毅力和兴趣直接看flask是最好了的。&/p&&p&4. &a href=&//link.zhihu.com/?target=https%3A//github.com/msiemens/tinydb& class=& wrap external& target=&_blank& rel=&nofollow noreferrer&&msiemens/tinydb&/a&。了解用Python实现数据库。&/p&&p&5. &a href=&//link.zhihu.com/?target=https%3A//github.com/coleifer/peewee& class=& wrap external& target=&_blank& rel=&nofollow noreferrer&&coleifer/peewee&/a&。了解ORM的实现。&/p&&p&6. &a href=&//link.zhihu.com/?target=https%3A//github.com/pallets/click& class=& wrap external& target=&_blank& rel=&nofollow noreferrer&&pallets/click&/a&。click已经内置于在flask 0.11里，提供命令行功能，值得阅读。&/p&&p&7. &a href=&//link.zhihu.com/?target=https%3A//github.com/mitsuhiko/flask-sqlalchemy& class=& wrap external& target=&_blank& rel=&nofollow noreferrer&&mitsuhiko/flask-sqlalchemy&/a&。了解一个flask插件是怎么实现的。&/p&&p&除此之外Web开发者可以阅读一些相关的项目：&/p&&p&1. &a href=&//link.zhihu.com/?target=https%3A//github.com/Runscope/httpbin& class=& wrap external& target=&_blank& rel=&nofollow noreferrer&&runscope/httpbin&/a&。使用flask，网站是&a href=&//link.zhihu.com/?target=http%3A//httpbin.org/& class=& wrap external& target=&_blank& rel=&nofollow noreferrer&&httpbin(1): HTTP Client Testing Service&/a&。&/p&&p&2. &a href=&//link.zhihu.com/?target=https%3A//github.com/Jahaja/psdash& class=& wrap external& target=&_blank& rel=&nofollow noreferrer&&jahaja/psdash&/a&。使用flask和psutils的获取Linux系统信息的面板应用。&/p&&p&3. &a href=&//link.zhihu.com/?target=https%3A//github.com/pallets/flask-website& class=& wrap external& target=&_blank& rel=&nofollow noreferrer&&pallets/flask-website&/a&。 flask官方网站应用。&/p&&p&4. &a href=&//link.zhihu.com/?target=https%3A//github.com/pypa/warehouse& class=& wrap external& target=&_blank& rel=&nofollow noreferrer&&pypa/warehouse&/a&。如果你使用pyramid，这个&a href=&//link.zhihu.com/?target=https%3A//pypi.org/& class=& wrap external& target=&_blank& rel=&nofollow noreferrer&&新版的PYPI网站&/a&，可以帮助你理解很多。&/p&&p&当然，2个学习flask重要的资源必须爆一爆：&/p&&p&1. &a href=&//link.zhihu.com/?target=https%3A//github.com/realpython/discover-flask& class=& wrap external& target=&_blank& rel=&nofollow noreferrer&&GitHub - realpython/discover-flask: Full Stack Web Development with Flask&/a&。
&/p&&p&2. &a href=&//link.zhihu.com/?target=http%3A//blog.miguelgrinberg.com/post/the-flask-mega-tutorial-part-i-hello-world& class=& wrap external& target=&_blank& rel=&nofollow noreferrer&&The Flask Mega-Tutorial&/a&。 这个就是《Flask Web开发：基于Python的Web应用开发实战》的原始博客。&/p&&br&&p&&b&500lines&/b&&/p&&br&&p&推荐一个非常厉害的项目 &a href=&//link.zhihu.com/?target=https%3A//github.com/aosabook/500lines& class=& wrap external& target=&_blank& rel=&nofollow noreferrer&&GitHub - aosabook/500lines: 500 Lines or Less&/a&, 它里面包含了22个由该领域的专家完成，用不到500行的代码实现一个特定功能的子项目。连Guido van Rossum都亲自来写基于asyncio爬虫了，Nick Coghlan、ajdavis也出场了。更具体的介绍可以看&a href=&https://www.zhihu.com/question//answer/& class=&internal&&Python 的练手项目有哪些值得推荐？ - 小小搬运工的回答&/a&。&/p&&br&&p&最后再推荐一些更复杂的项目，可能不算练手的范畴，但是对于练手的技艺提高有很大帮助（您总不希望一直写练手项目吧），可以学到更多的项目设计、编程技巧等方面的内容：&/p&&br&&p&&a href=&//link.zhihu.com/?target=https%3A//github.com/pallets/jinja/& class=& wrap external& target=&_blank& rel=&nofollow noreferrer&&GitHub - pallets/jinja: The Jinja2 template engine&/a&&/p&&p&&a href=&//link.zhihu.com/?target=https%3A//github.com/mongodb/mongo-python-driver/& class=& wrap external& target=&_blank& rel=&nofollow noreferrer&&GitHub - mongodb/mongo-python-driver: PyMongo&/a&&/p&&p&&a href=&//link.zhihu.com/?target=https%3A//github.com/andymccurdy/redis-py& class=& wrap external& target=&_blank& rel=&nofollow noreferrer&&GitHub - andymccurdy/redis-py: Redis Python Client&/a&&/p&&p&&a href=&//link.zhihu.com/?target=https%3A//github.com/getredash/redash& class=& wrap external& target=&_blank& rel=&nofollow noreferrer&&GitHub - getredash/redash: Make Your Company Data Driven. Connect to any data source, easily visualize and share your data.&/a&&/p&&p&&a href=&//link.zhihu.com/?target=https%3A//github.com/jmcarp/robobrowser/& class=& wrap external& target=&_blank& rel=&nofollow noreferrer&&GitHub - jmcarp/robobrowser&/a&&/p&&p&&a href=&//link.zhihu.com/?target=https%3A//github.com/idank/explainshell& class=& wrap external& target=&_blank& rel=&nofollow noreferrer&&GitHub - idank/explainshell: match command-line arguments to their help text&/a&&/p&&p&&a href=&//link.zhihu.com/?target=https%3A//github.com/madisonmay/Tomorrow& class=& wrap external& target=&_blank& rel=&nofollow noreferrer&&GitHub - madisonmay/Tomorrow: Magic decorator syntax for asynchronous code in Python&/a&&/p&&p&&a href=&//link.zhihu.com/?target=https%3A//github.com/amoffat/sh& class=& wrap external& target=&_blank& rel=&nofollow noreferrer&&GitHub - amoffat/sh: Python process launching&/a&&/p&&p&&a href=&//link.zhihu.com/?target=https%3A//github.com/jeffknupp/sandman& class=& wrap external& target=&_blank& rel=&nofollow noreferrer&&GitHub - jeffknupp/sandman: Sandman &makes things REST&.&/a&&/p&&p&&a href=&//link.zhihu.com/?target=https%3A//github.com/benoitc/gunicorn& class=& wrap external& target=&_blank& rel=&nofollow noreferrer&&GitHub - benoitc/gunicorn: gunicorn 'Green Unicorn' is a WSGI HTTP Server for UNIX, fast clients and sleepy applications.&/a&&/p&&p&&a href=&//link.zhihu.com/?target=https%3A//github.com/jaraco/path.py& class=& wrap external& target=&_blank& rel=&nofollow noreferrer&&GitHub - jaraco/path.py: &Path& object conveniently wrapping assorted file/path-related functionality&/a&&/p&&p&&a href=&//link.zhihu.com/?target=https%3A//github.com/grantjenks/sorted_containers& class=& wrap external& target=&_blank& rel=&nofollow noreferrer&&GitHub - grantjenks/sorted_containers: Python Sorted Container Types: SortedList, SortedDict, and SortedSet&/a&&/p&
谢邀。 ---
是个不错的练手项目，我还曾经给它贡献过代码。在你学会Python以后可以拿它练手，一步一步的完成所有待解决的问题。 --- 补充结束 --- 我在我的专栏「…
你们所说的什么要怎样数据分析、爬虫、Web 等，在我看来那不是精通 Python，而是精通某一领域，抛开 Python 换用另一门语言也可，在我看来，精通 Python 语言大约需要如下这些步骤（个人愚见，不服你奈我何~~~）：&br&&br&------------------------&br&&b&level 1：了解基本语法&/b&&br&这是最容易的一级，掌握了 Python 的基本语法，可以通过 Python 代码实现常用的需求，不管代码质量怎么样。这部分内容，可以参考：&a href=&//link.zhihu.com/?target=https%3A//docs.python.org/2/tutorial/index.html& class=& wrap external& target=&_blank& rel=&nofollow noreferrer&&The Python Tutorial&/a&。&br&&br&------------------------&br&&b&level 2：熟练使用常用的库&/b&&br&&ul&&li&熟悉常用 standard library 的使用，包括但不限于 copy / json / itertools / collections / hashlib / os / sys 等，这部分内容，可以参考：&a href=&//link.zhihu.com/?target=https%3A//docs.python.org/2/library/index.html& class=& wrap external& target=&_blank& rel=&nofollow noreferrer&&The Python Standard Library&/a&。&/li&&li&熟悉常用的第三方库，这就根据每个人不同的用法而有所不同了，但是一定要掌握你所常用的那个领域里的第三方库。 &/li&&/ul&&br&------------------------&br&&b&level 3：Pythonic&/b&&br&这一级别比上一级别稍难，但是还是可以轻松达到。所谓 Pythonic，就是相比其它语言，Python 可以通过更加优雅的实现方式（不管是语法糖还是什么），比如（包括但不限于） with、for-else、try-else、yield 等。&br&另外你还需要掌握这些所谓魔法的实现原理，了解 Python 在语法层面的一些协议，可以自己实现语法糖。如 with 的实现方式（上下文管理器）等。&br&达到这一级，你的代码可以看起来很漂亮了。这部分内容，可以参考：&br&&ul&&li&&a href=&//link.zhihu.com/?target=https%3A//docs.python.org/2/reference/index.html& class=& wrap external& target=&_blank& rel=&nofollow noreferrer&&The Python Language Reference&/a&&br&&/li&&li&&a href=&//link.zhihu.com/?target=https%3A//docs.python.org/2/howto/index.html& class=& wrap external& target=&_blank& rel=&nofollow noreferrer&&Python HOWTOs&/a&&br&&/li&&/ul&&br&------------------------&br&&b&level 4：高级玩法&/b&&br&掌握 Python 的内存机制、GIL 限制等，知道如何改变 Python 的行为，可以轻松写出高效的优质的 Python 代码，能够轻松分辨不同 Python 代码的效率并知道如何优化。&br&&br&------------------------&br&&b&level 5：看透本质&/b&&br&阅读 Python 的 C 实现，掌握 Python 中各种对象的本质，掌握是如何通过 C 实现面向对象的行为，对于常见的数据结构，掌握其实现细节。到这一步，需要将 Python 源码学习至少一遍，并对关键部分有较深层次的理解。&br&&br&------------------------&br&&b&level 6：手到拈来，一切皆空&/b&&br&不可说，不必说~&br&&br&&br&&br&--------------------- 以下为补充说明 ---------------------------&br&看到评论区有朋友误解，这里解释一下。&br&&br&首先，以上步骤&b&并不是打怪升级&/b&，不存在到了一级再去第下一级，你完全可以在熟练标准库的过程中掌握语言的实现原理等，这并不矛盾。所以那些评论说「我已经 xx 级了， xx 时候要到 xx 级」的朋友们，希望不要误解了我的意思，你不必将自己限制死，而可以很灵活的变通。&br&&br&另外题干中的「招聘要求写着“精通 Python 语言”」，对于这样的招聘要求，绝大多数其实是 HR 脑残（不排除少部分公司真的有特殊需求），一般面对这样的公司我会选择绕道而行。既然是找工作，还是要找自己满意且公司本身很不错的，人生苦短，何必跟自己过不去呢？说到这里，我看知乎的招聘岗位中（&a href=&https://www.zhihu.com/careers& class=&internal&&知乎招聘&/a&），貌似没有出现「精通」二字，自认技术高超的小伙伴可以去试试看哟~~~&br&&br&最后，希望各位不要被某些答案「不需要精通 xx 语言」这样的言论干扰，编程语言有很多相似的地方，个人觉得掌握一门语言的底层实现，对自身的编程水平提升是很有帮助的。但是要搞清楚，仅仅编程语言是不够的，如何使用一门编程语言做有趣的事情，这很重要。
你们所说的什么要怎样数据分析、爬虫、Web 等，在我看来那不是精通 Python，而是精通某一领域，抛开 Python 换用另一门语言也可，在我看来，精通 Python 语言大约需要如下这些步骤（个人愚见，不服你奈我何~~~）： ------------------------ level 1：了解…
有了基础，当然要实战了：&br&&br&&a href=&//link.zhihu.com/?target=http%3A//www.liaoxuefeng.com/wiki/095c955c1e6d8bbfac/925a3dbca7c9d8c55000& class=& wrap external& target=&_blank& rel=&nofollow noreferrer&&实战 - 廖雪峰的官方网站&/a&&br&&br&一上来去看那些开源项目的代码，当然看不懂，你需要&a href=&//link.zhihu.com/?target=http%3A//www.liaoxuefeng.com/wiki/095c955c1e6d8bbfac& class=& wrap external& target=&_blank& rel=&nofollow noreferrer&&Python教程 - 廖雪峰的官方网站&/a&——实战篇，从0开始，一天加一点代码，最后堆出一个完整的网站+iOS App
有了基础，当然要实战了：
一上来去看那些开源项目的代码，当然看不懂，你需要——实战篇，从0开始，一天加一点代码，最后堆出一个完整的网站+iOS App
&a href=&//link.zhihu.com/?target=http%3A//nbviewer.ipython.org/github/jrjohansson/scientific-python-lectures/tree/master& class=& external& target=&_blank& rel=&nofollow noreferrer&&&span class=&invisible&&http://&/span&&span class=&visible&&nbviewer.ipython.org/gi&/span&&span class=&invisible&&thub/jrjohansson/scientific-python-lectures/tree/master&/span&&span class=&ellipsis&&&/span&&/a&&br&这是Robert Johansson使用iPython Notebooks来介绍numpy, scipy, matplotlib等module的应用，上面的url是用nbviewer打开的作者的github repository&br&源地址：&a href=&//link.zhihu.com/?target=https%3A//github.com/jrjohansson/scientific-python-lectures& class=& external& target=&_blank& rel=&nofollow noreferrer&&&span class=&invisible&&https://&/span&&span class=&visible&&github.com/jrjohansson/&/span&&span class=&invisible&&scientific-python-lectures&/span&&span class=&ellipsis&&&/span&&/a&&br&----------------------------------------------------------------------------------------&br&下面几个github repo是本人所在的团队里的open-course的ipython notebooks，可以题主供参考：&br&1. AeroPython (用python介绍势流potential flow):&br&&a href=&//link.zhihu.com/?target=https%3A//github.com/barbagroup/AeroPython& class=& external& target=&_blank& rel=&nofollow noreferrer&&&span class=&invisible&&https://&/span&&span class=&visible&&github.com/barbagroup/A&/span&&span class=&invisible&&eroPython&/span&&span class=&ellipsis&&&/span&&/a&&br&2. numerical-mooc (用python介绍求解偏微分方程):&br&&a href=&//link.zhihu.com/?target=https%3A//github.com/numerical-mooc/numerical-moon& class=& external& target=&_blank& rel=&nofollow noreferrer&&&span class=&invisible&&https://&/span&&span class=&visible&&github.com/numerical-mo&/span&&span class=&invisible&&oc/numerical-moon&/span&&span class=&ellipsis&&&/span&&/a&&br&3. FMM_tutorial (用python介绍快速多极子算法FMM，更新中):&br&&a href=&//link.zhihu.com/?target=https%3A//github.com/barbagroup/FMM_tutorial& class=& external& target=&_blank& rel=&nofollow noreferrer&&&span class=&invisible&&https://&/span&&span class=&visible&&github.com/barbagroup/F&/span&&span class=&invisible&&MM_tutorial&/span&&span class=&ellipsis&&&/span&&/a&&br&&br&**github的公共repository里面的iPython Notebook，都可以用nbviewer(&a href=&//link.zhihu.com/?target=http%3A//nbviewer.ipython.org& class=& external& target=&_blank& rel=&nofollow noreferrer&&&span class=&invisible&&http://&/span&&span class=&visible&&nbviewer.ipython.org&/span&&span class=&invisible&&&/span&&/a&)打开，用chrome浏览器有更方便的chrome extension
这是Robert Johansson使用iPython Notebooks来介绍numpy, scipy, matplotlib等module的应用，上面的url是用nbviewer打开的作者的github repository 源地址： --------------------------------------------------…
谢邀。&br&先说下我对 IDE 的使用习惯，我极少使用 IDE 来 debug，也不怎么依赖于 IDE 提供的功能，因此我对 IDE 的期望就是轻量且足够好用就行。&br&我一般开着 Sublime 的同时会开着一个终端，在终端上使用 IPython 测试代码，用 pdb 和打 log 来调试，使用命令行 git 来管理代码，启动代码也不通过 Sublime，直接从终端运行。&br&系统是 OS X，安装的插件基本上是辅助提示类和代码检查类的。&br&&br&----- Update -----&br&发现有人关注这个，再更新下。&br&&br&&b&SublimeTmpl&/b&&br&SublimeTmpl 提供了常用文件模板，新建文件时很有用。&br&&br&&b&GitGutter&/b&&br&只是喜欢这个插件能够根据 git 的版本来提示你修改了哪些行，能够比较容易定位。&br&&br&&b&AutoFileName&/b&&br&在字符串中智能补全路径。&br&&br&&b&Anaconda&/b&&br&代码分析平台，用于代码规范检查。不过我把里面的 pep8 检查排除了 E501，因为我屏幕分辨率高，不想被80个字符束缚。&br&使用这个插件之后，建议对每个项目保存为 sublime 项目，然后在项目配置文件中指明使用的 virtualenv 解释器：&br&&div class=&highlight&&&pre&&code class=&language-json&&&span class=&s2&&&settings&&/span&&span class=&err&&:&/span&
&span class=&p&&{&/span&
&span class=&nt&&&python_interpreter&&/span&&span class=&p&&:&/span& &span class=&s2&&&/path/to/my/python&&/span&
&span class=&p&&}&/span&
&/code&&/pre&&/div&&br&&b&CTags&/b&&br&Python 的智能补全插件其实都不能算太好用，在很多时候还不如 Ctags 来得简单粗暴。&br&OS X 的 ctags 命令不支持 -R 参数，因此需要自己用 brew 或其他方式安装一个，并在设置中指定。&br&&br&&b&Jedi&/b&&br&如果真需要智能补全插件的话，用这个吧。&br&&br&&b&AutoPep8&/b&&br&自动将 Python 代码按 PEP8 规范格式化，安装完添加如下配置可自动在保存文件的时候格式化：&br&&div class=&highlight&&&pre&&code class=&language-json&&&span class=&p&&{&/span&
&span class=&nt&&&format_on_save&&/span&&span class=&p&&:&/span& &span class=&kc&&true&/span&&span class=&p&&,&/span&
&span class=&p&&}&/span&
&/code&&/pre&&/div&
谢邀。 先说下我对 IDE 的使用习惯，我极少使用 IDE 来 debug，也不怎么依赖于 IDE 提供的功能，因此我对 IDE 的期望就是轻量且足够好用就行。 我一般开着 Sublime 的同时会开着一个终端，在终端上使用 IPython 测试代码，用 pdb 和打 log 来调试，使用命令…
更新：兄弟们如此给力，小弟受宠若惊，好东西就是用来分享的。 500 line or less只是某个系列丛书中第四本，其他三本链接：&br&&a href=&//link.zhihu.com/?target=http%3A//www.aosabook.org/en/index.html& class=& external& target=&_blank& rel=&nofollow noreferrer&&&span class=&invisible&&http://www.&/span&&span class=&visible&&aosabook.org/en/index.h&/span&&span class=&invisible&&tml&/span&&span class=&ellipsis&&&/span&&/a&&br&可以在线看哦&br&前两本每章介绍出名开源软件的架构，你说的上名字的开源基本上都能找到，短小精悍的介绍框架&br&第三本介绍开源软件中实际遇到的一些performance的问题以及解决方案，同样浓缩啊！！ 每章的作者大多就是此开软软件的开发者啊！！！&br&不用多说，点开你就知道啊&br&不想看英文的怒点 &a href=&//link.zhihu.com/?target=http%3A//www.ituring.com.cn/article/13057& class=& external& target=&_blank& rel=&nofollow noreferrer&&&span class=&invisible&&http://www.&/span&&span class=&visible&&ituring.com.cn/article/&/span&&span class=&invisible&&13057&/span&&span class=&ellipsis&&&/span&&/a&&br&前两卷的中文版，不知道翻译的怎么样&br&&br&----------------------------------------割了你--------------------------------------------------------------&br&&br&和楼主一样在学习python， 最近找到一本python神书 500 line or less. 有兄弟提到了git的源码，这里不只是源码，而是这么一本书，目前还没出版，但是在网上有已经看到了 review版本。&br&强烈推荐！！！&br&强烈推荐！！！&br&强力推荐！！！&br&这本书共16个章节，每章均是由该领域的大牛完成，用不到500行的代码实现一个特（装）定（逼）功能。&br&本书链接 &a href=&//link.zhihu.com/?target=http%3A//aosabook.org/blog/& class=& external& target=&_blank& rel=&nofollow noreferrer&&&span class=&invisible&&http://&/span&&span class=&visible&&aosabook.org/blog/&/span&&span class=&invisible&&&/span&&/a&&br&目录页：&a href=&//link.zhihu.com/?target=http%3A//aosabook.org/blog/& class=& external& target=&_blank& rel=&nofollow noreferrer&&&span class=&invisible&&http://&/span&&span class=&visible&&aosabook.org/blog/&/span&&span class=&invisible&&&/span&&/a&&br&以下是章节目录，每一章都让你热血澎湃，看完介绍你就向往下读。&br&1. A Template Engine （&a href=&//link.zhihu.com/?target=http%3A//aosabook.org/en/500L/a-template-engine.html& class=& external& target=&_blank& rel=&nofollow noreferrer&&&span class=&invisible&&http://&/span&&span class=&visible&&aosabook.org/en/500L/a-&/span&&span class=&invisible&&template-engine.html&/span&&span class=&ellipsis&&&/span&&/a&）&br&
MVC模型中的view层如何解析html中的静态变量和简单的语句，如下：&br&&br&&div class=&highlight&&&pre&&code class=&language-text&&&p&Welcome, {name}!&/p&
&p&Products:&/p&
{products}
&/code&&/pre&&/div&web中的view层不只是html代码，还有支持其他的代码。比如 {products}是一个变量。 同时view层还支持{if} , {for}, {foreach}等等。django，velocity等是如何解析他们的？&br&大牛用不到500行代码告诉你，是如何实现的？ （不是替换，替换需要每次请求都需要解析）&br&&br&2. Web Spreadsheet （&a href=&//link.zhihu.com/?target=http%3A//aosabook.org/en/500L/web-spreadsheet.html& class=& external& target=&_blank& rel=&nofollow noreferrer&&&span class=&invisible&&http://&/span&&span class=&visible&&aosabook.org/en/500L/we&/span&&span class=&invisible&&b-spreadsheet.html&/span&&span class=&ellipsis&&&/span&&/a&）&br&
web的电子表格如何实现的？ 好像比较简单，但是介绍了 web storage 和 web worker，还是很值得一看的&br&&br&3. A Web Crawler &a href=&//link.zhihu.com/?target=http%3A//aosabook.org/en/500L/a-web-crawler-with-asyncio-coroutines.html& class=& external& target=&_blank& rel=&nofollow noreferrer&&&span class=&invisible&&http://&/span&&span class=&visible&&aosabook.org/en/500L/a-&/span&&span class=&invisible&&web-crawler-with-asyncio-coroutines.html&/span&&span class=&ellipsis&&&/span&&/a&&br&
不多说，几百行代码实现高效的网络爬虫， 高效！&br&&br&4. Static Analysis &a href=&//link.zhihu.com/?target=http%3A//aosabook.org/en/500L/static-analysis.html& class=& external& target=&_blank& rel=&nofollow noreferrer&&&span class=&invisible&&http://&/span&&span class=&visible&&aosabook.org/en/500L/st&/span&&span class=&invisible&&atic-analysis.html&/span&&span class=&ellipsis&&&/span&&/a&&br&
成熟的IDE都有代码检查和代码提示，怎么做的？ 看这章&br&&br&5. Clustering by Consensus &a href=&//link.zhihu.com/?target=http%3A//aosabook.org/en/500L/clustering-by-consensus.html& class=& external& target=&_blank& rel=&nofollow noreferrer&&&span class=&invisible&&http://&/span&&span class=&visible&&aosabook.org/en/500L/cl&/span&&span class=&invisible&&ustering-by-consensus.html&/span&&span class=&ellipsis&&&/span&&/a&&br&
分布式系统 paxos原理与实现。不知道paxos说明你没接触过分布式体统，接触过分布式还不懂，说明你只会用分布式系统&br&&br&6. A Simple Object Modle &a href=&//link.zhihu.com/?target=http%3A//aosabook.org/en/500L/a-simple-object-model.html& class=& external& target=&_blank& rel=&nofollow noreferrer&&&span class=&invisible&&http://&/span&&span class=&visible&&aosabook.org/en/500L/a-&/span&&span class=&invisible&&simple-object-model.html&/span&&span class=&ellipsis&&&/span&&/a&&br&
Python是面向对象语言，对象，继承，多态，怎么用代码实现的，不到500行代码，实际不到400 行， 666.。。&br&&br&7. An Archaeology-Inspired Database &a href=&//link.zhihu.com/?target=http%3A//aosabook.org/en/500L/an-archaeology-inspired-database.html& class=& external& target=&_blank& rel=&nofollow noreferrer&&&span class=&invisible&&http://&/span&&span class=&visible&&aosabook.org/en/500L/an&/span&&span class=&invisible&&-archaeology-inspired-database.html&/span&&span class=&ellipsis&&&/span&&/a&&br&
如何用python实现一个数据库，支持 query，index, transaction， 2，3百行代码和对每个函数的讲解。看完你就知道知道数据库原理，太值了&br&&br&8. Dog Bed Database &a href=&//link.zhihu.com/?target=http%3A//aosabook.org/en/500L/dbdb-dog-bed-database.html& class=& external& target=&_blank& rel=&nofollow noreferrer&&&span class=&invisible&&http://&/span&&span class=&visible&&aosabook.org/en/500L/db&/span&&span class=&invisible&&db-dog-bed-database.html&/span&&span class=&ellipsis&&&/span&&/a&&br&
类似上一章，不过这次实现的是key-value的非关系型数据库，详细的讲解和2，3百行代码&br&&br&9. A 3D Modeller &a href=&//link.zhihu.com/?target=http%3A//aosabook.org/en/500L/a-3d-modeller.html& class=& external& target=&_blank& rel=&nofollow noreferrer&&&span class=&invisible&&http://&/span&&span class=&visible&&aosabook.org/en/500L/a-&/span&&span class=&invisible&&3d-modeller.html&/span&&span class=&ellipsis&&&/span&&/a&&br&
用python实现一个3D设计，显示到屏幕，可以交互。不是很懂，但不明觉厉&br&&br&10. A Python Interpreter Written in Python &a href=&//link.zhihu.com/?target=http%3A//aosabook.org/en/500L/a-python-interpreter-written-in-python.html& class=& external& target=&_blank& rel=&nofollow noreferrer&&&span class=&invisible&&http://&/span&&span class=&visible&&aosabook.org/en/500L/a-&/span&&span class=&invisible&&python-interpreter-written-in-python.html&/span&&span class=&ellipsis&&&/span&&/a&&br&
手把手教你如何实现python解析器。&br&&br&11. A Pedometer in the Real World &a href=&//link.zhihu.com/?target=http%3A//aosabook.org/en/500L/a-pedometer-in-the-real-world.html& class=& external& target=&_blank& rel=&nofollow noreferrer&&&span class=&invisible&&http://&/span&&span class=&visible&&aosabook.org/en/500L/a-&/span&&span class=&invisible&&pedometer-in-the-real-world.html&/span&&span class=&ellipsis&&&/span&&/a&&br&
你用过手机应用记录你每天走的步数，然后发送到朋友圈吗？ （没有？ 没关系。）这章告诉你如何实现步数记录，怎么算走一步。手机中有加速记，很容易获得你某一时刻在x,y,z三个方向的加速度，用这些参数，如何计算你走了多少步？ 知道吗？ 不知道，看这章，讲解加实现&br&&br&12. A Continuous Intergration System &a href=&//link.zhihu.com/?target=http%3A//aosabook.org/en/500L/a-continuous-integration-system.html& class=& external& target=&_blank& rel=&nofollow noreferrer&&&span class=&invisible&&http://&/span&&span class=&visible&&aosabook.org/en/500L/a-&/span&&span class=&invisible&&continuous-integration-system.html&/span&&span class=&ellipsis&&&/span&&/a&&br&
CI System是一个专门用来测试新代码的系统，根据代码提交记录，拿到新的代码，测试，生成报告。这不是关键，关键是 如果test失败，它还会 恢复，然后从失败的那个点在跑，相当于把出错环境重现了。。。&br&&br&13 A Rejection Sampler &a href=&//link.zhihu.com/?target=http%3A//aosabook.org/en/500L/a-rejection-sampler.html& class=& external& target=&_blank& rel=&nofollow noreferrer&&&span class=&invisible&&http://&/span&&span class=&visible&&aosabook.org/en/500L/a-&/span&&span class=&invisible&&rejection-sampler.html&/span&&span class=&ellipsis&&&/span&&/a&&br&
不是很懂，和机器学习相关，如何 计算你赢得象棋比赛的概率，天气对飞机的影响等类似的问题&br&&br&14 A visual programming toolkit &a href=&//link.zhihu.com/?target=http%3A//aosabook.org/en/500L/blockcode-a-visual-programming-toolkit.html& class=& external& target=&_blank& rel=&nofollow noreferrer&&&span class=&invisible&&http://&/span&&span class=&visible&&aosabook.org/en/500L/bl&/span&&span class=&invisible&&ockcode-a-visual-programming-toolkit.html&/span&&span class=&ellipsis&&&/span&&/a&&br&
不太明白&br&&br&15.
A Flow Shop Scheduler &a href=&//link.zhihu.com/?target=http%3A//aosabook.org/en/500L/a-flow-shop-scheduler.html& class=& external& target=&_blank& rel=&nofollow noreferrer&&&span class=&invisible&&http://&/span&&span class=&visible&&aosabook.org/en/500L/a-&/span&&span class=&invisible&&flow-shop-scheduler.html&/span&&span class=&ellipsis&&&/span&&/a&&br&
flowshop调度问题，好像很出名的样子，最优化问题，如何从局部最优解找全局最优解&br&&br&16
Optical Character Recognition&br&
几百行代码使用人工神经网络实现识别手写字母。。。&br&&br&github源码：&a href=&//link.zhihu.com/?target=https%3A//github.com/aosabook/500lines/blob/master/README.md& class=& wrap external& target=&_blank& rel=&nofollow noreferrer&&500lines/README.md at master · aosabook/500lines · GitHub&/a&
更新：兄弟们如此给力，小弟受宠若惊，好东西就是用来分享的。 500 line or less只是某个系列丛书中第四本，其他三本链接：
可以在线看哦 前两本每章介绍出名开源软件的架构，你说的上名字的开源基本上都能找到，短小精悍的介绍框架 …
对于大部分人来说，数据分析基本上都是靠着自学完成，比如我就是一个典型的案列。题主是计算机出生，上手数据分析应该比较容易一点。我没接触过什么编程，目前也在搞SPARK,HADOOP等，也没觉得自己比别人差多少~~&br&&br&我给出的这个回答基于我自己的学习路径，并且主要是以书本为主，尝试回答一下：&b&一个新手如何系统的学习数据分析&/b&&br&下面我先给出书单：&br&&figure&&img src=&https://pic4.zhimg.com/50/b9904e2bbca6dcd353d359_b.jpg& data-rawwidth=&1212& data-rawheight=&1258& class=&origin_image zh-lightbox-thumb& width=&1212& data-original=&https://pic4.zhimg.com/50/b9904e2bbca6dcd353d359_r.jpg&&&/figure&&br&这些书籍都有对应的中文版本。我喜欢将学习分阶段进行，这样学习起来有目标并且不会太累，每个阶段完成各自的任务就好。后面的星星代表每本书籍的重要度，星星越多表示该书越值得阅读。&br&&br&&b&初级阶段：&/b&&br&首先，我是赞成PYTHON ROCKS这句话。说多了你可能不理解，但是当你正真在工业上应用的时候，你就会发现PYTHON能做很多R不能做的事情。 因此强烈建议第一阶段以打基础，学习PYTHON为主。 那么怎么学？&br&《深入浅出数据分析》 是可以学习到最基础的统计、概率等理论知识，这些知识是你前进的基石，而且此书延续了head first系列的一贯作风，非常的有趣味，读起来不会感觉枯燥乏味！&br&&br&接下来你应该好好的学一学PYTHON这门语言。我们说PYTHON可以做的事情太多了，数据分析只是它的一个功能而已。因此锁定目标，只学习有关数据分析部分的知识就行，其它涉及到什么WEB开发，网络编程的一律跳过，一定要集中精力去攻克你的目标，不要分神，有时候摊子铺大了就回不来了！！
那么《利用PYTHON进行数据分析》绝对是你学习PYTHON的不二之选（我指的是数据分析），这本书的作者是大名鼎鼎的pandas的作者，你可以想象这本书的权威性。因此去买一本，好好的研究一番，基本上你的数据处理能力能上好几个台阶。一定要重点学习numpy,pandas,matplotlib.
&br&&br&然后，SQL是你逃不掉的命，一定要写好，你既然是计算机专业，应该不需要我强调太多~&br&最后一本书你就当着小说读读就行，改善一下你程序员的思维，学会一点怎么在真实业务中应用数据分析技巧！记住：这是趣味书！&br&&br&以上就是初级阶段，主要以看书为主，让自己对数据分析有一个初步的认识。&br&下面的中级，高级就需要配合视频和书本一起来学习了~&br&&br&&b&中级进阶：&/b&&br&这一部分是核心的地方，也是你能够和别人拉开距离的阶段。学的好，薪资蹭蹭的往上涨，学不好，那就多学几遍。&br&在这个阶段的核心任务就是：撸的了代码，算的上公示，看得懂业务！
&b&中级阶段会涉及到大量的使用代码和模型去解决实际业务问题！&br&&/b&&br&看清楚三点：代码、模型、案列&br&你要边学边用，这样才能学的更快，收货更多！ 那么怎么学？&br&第一步，《数据挖掘导论》这本书先花一个月的时间好好的阅读下，知道数据挖掘的一个雏形，能够认识一些常用的模型和算法。能够搞清楚常用的监督和非监督学习，提到模型要能说出它的应用场景和优缺点。回答几个关于这本书的常见问题？&br&1. 阅读这本书是否需要一点课前知识？ &br& 答：要，但是不多。&br&2. 都有哪些课前知识？&br&答：微积分，概率论，线性代数，运筹学等等&br&3. 我的天！那我是不是先要去学习一下这些知识后再来看这本书？&br&答：千万别！！！ 记得我前面说过：摊子铺大了你有时候就回不来了。 &br&4. 那我怎么学？&br&答：很简单。直接看书，看不明白的就去google。比如说你看到SVM那里，不知道什么是拉格朗日，那么就去Google（其实这本书的附录也讲了什么是朗格朗日，甚至还讲解了怎么进行矩阵计算）。 总之，不要兜圈子，遇到什么就去补什么。&br&&br&同时，在这里我强烈建议你去学习一下coursera上面的机器学习课程，你会对算法有一个更深的认识，关键是你能学会矩阵计算，梯度下降等常用技能：&br&&a href=&//link.zhihu.com/?target=https%3A//www.coursera.org/learn/machine-learning& class=& external& target=&_blank& rel=&nofollow noreferrer&&&span class=&invisible&&https://www.&/span&&span class=&visible&&coursera.org/learn/mach&/span&&span class=&invisible&&ine-learning&/span&&span class=&ellipsis&&&/span&&/a&&br&&br&&br&&br&第二步，使用PYTHON结合数据挖掘知识进行实际案列操作。请使用《集体智慧编程》，这本书的评价我也给你们贴出来，豆瓣评分9分，质量自然不用我说。我唯一想强调的是：请你一定要全部代码自己写一遍，不要复制粘贴！！！！！！&br&&a href=&//link.zhihu.com/?target=http%3A//book.douban.com/subject/3288908/& class=& wrap external& target=&_blank& rel=&nofollow noreferrer&&集体智慧编程 (豆瓣)&/a&&br&&br&如果有时间，请去学习一下关于PYTHON的课程：&a href=&//link.zhihu.com/?target=https%3A//www.edx.org/course/introduction-computer-science-mitx-6-00-1x-0& class=& wrap external& target=&_blank& rel=&nofollow noreferrer&&Introduction to Computer Science and Programming Using Python&/a&&br&&br&第三步，欢迎使用《机器学习系统设计》这本书，你会接触到PYTHON里面最niubility的SCIKIT-LEARN机器学习包。虽然官网文档阅读性已经很佳，但是缺少一个系统的过程。而这本书就是教会你如何从真实的业务角度去思考运用机器学习模型。 同样的，请你自己敲代码，不懂的就去看官方文档，还是不懂的就去google。&br&&br&第四步，想知道为什么豆瓣和亚马逊的推荐那么准确？
那么《推荐系统实战》绝对是一本最佳的书籍，作者将全部的算法使用PYTHON实现，无论是基于业务的推送还是基于协同过滤算法的推送都讲解的非常清楚！！如果你有兴趣了解，请毫不犹豫的上马拉弓~&br&&br&第五步，你一定听说过R，一定也纠结过到底学习R还是PYTHON。那么我就粗暴的回答一下：都要学！，前期已PYTHON为主，后期一起学习R语言，不要问我为什么，纯属个人感觉。 &br&《R IN ACTION》绝对绝对是入门的最好参考书，没有之一。跟着书上的代码敲一遍，模型计算都自己搞清楚（你有了前面的基础，这些学起来很轻松）。&br&最后，COURSERA上面的R语言课程很糟，谁听谁倒霉，不信你去试试？&br&&br&高级部分下次再敲，累~~~
对于大部分人来说，数据分析基本上都是靠着自学完成，比如我就是一个典型的案列。题主是计算机出生，上手数据分析应该比较容易一点。我没接触过什么编程，目前也在搞SPARK,HADOOP等，也没觉得自己比别人差多少~~ 我给出的这个回答基于我自己的学习路径，并…
&p&基于这个笔记的实体书了解一下？书名叫《自学Python——编程基础科学计算及数据分析》，将笔记的内容进行了系统整理，并补充了一些基础知识，可以对照两边的目录看差异。&b&基于2.7&/b&。京东有自营。&/p&&hr&&p&Python 其实挺简单的，也挺强大的。&/p&&p&我用 Python 做科学计算，自学一年，也记了一年的笔记。&/p&&p&笔记链接（基于Python 2.7）：&/p&&ul&&li&Github：&a href=&//link.zhihu.com/?target=https%3A//github.com/lijin-THU/notes-python& class=& wrap external& target=&_blank& rel=&nofollow noreferrer&&lijin-THU/notes-python&/a&&/li&&li&Nbviewer：&a href=&//link.zhihu.com/?target=http%3A//nbviewer.jupyter.org/github/lijin-THU/notes-python/blob/master/index.ipynb& class=& wrap external& target=&_blank& rel=&nofollow noreferrer&&Jupyter Notebook Viewer&/a&&/li&&li&网页：&a href=&//link.zhihu.com/?target=http%3A//lijin-thu.github.io/& class=& wrap external& target=&_blank& rel=&nofollow noreferrer&&lijin-thu.github.io&/a& &/li&&/ul&&p&笔记目录：&/p&&ul&&li&&a href=&//link.zhihu.com/?target=http%3A//nbviewer.jupyter.org/github/lijin-THU/notes-python/tree/master/01-python-tools/& class=& wrap external& target=&_blank& rel=&nofollow noreferrer&&01. Python 工具&/a&&/li&&ul&&li&&u&&a href=&//link.zhihu.com/?target=http%3A//nbviewer.jupyter.org/github/lijin-THU/notes-python/blob/master/01-python-tools/01.01-python-overview.ipynb& class=& wrap external& target=&_blank& rel=&nofollow noreferrer&&01.01 Python 简介&/a&&/u&&/li&&li&&u&&a href=&//link.zhihu.com/?target=http%3A//nbviewer.jupyter.org/github/lijin-THU/notes-python/blob/master/01-python-tools/01.02-ipython-interpreter.ipynb& class=& wrap external& target=&_blank& rel=&nofollow noreferrer&&01.02 Ipython 解释器&/a&&/u&&/li&&li&&u&&a href=&//link.zhihu.com/?target=http%3A//nbviewer.jupyter.org/github/lijin-THU/notes-python/blob/master/01-python-tools/01.03-ipython-notebook.ipynb& class=& wrap external& target=&_blank& rel=&nofollow noreferrer&&01.03 Ipython notebook&/a&&/u&&/li&&li&&u&&a href=&//link.zhihu.com/?target=http%3A//nbviewer.jupyter.org/github/lijin-THU/notes-python/blob/master/01-python-tools/01.04-use-anaconda.ipynb& class=& wrap external& target=&_blank& rel=&nofollow noreferrer&&01.04 使用 Anaconda&/a&&/u&&/li&&/ul&&li&&a href=&//link.zhihu.com/?target=http%3A//nbviewer.jupyter.org/github/lijin-THU/notes-python/tree/master/02-python-essentials/& class=& wrap external& target=&_blank& rel=&nofollow noreferrer&&02. Python 基础&/a&&/li&&ul&&li&&u&&a href=&//link.zhihu.com/?target=http%3A//nbviewer.jupyter.org/github/lijin-THU/notes-python/blob/master/02-python-essentials/02.01-a-tour-of-python.ipynb& class=& wrap external& target=&_blank& rel=&nofollow noreferrer&&02.01 Python 入门演示&/a&&/u&&/li&&li&&u&&a href=&//link.zhihu.com/?target=http%3A//nbviewer.jupyter.org/github/lijin-THU/notes-python/blob/master/02-python-essentials/02.02-python-data-types.ipynb& class=& wrap external& target=&_blank& rel=&nofollow noreferrer&&02.02 Python 数据类型&/a&&/u&&/li&&li&&u&&a href=&//link.zhihu.com/?target=http%3A//nbviewer.jupyter.org/github/lijin-THU/notes-python/blob/master/02-python-essentials/02.03-numbers.ipynb& class=& wrap external& target=&_blank& rel=&nofollow noreferrer&&02.03 数字&/a&&/u&&/li&&li&&u&&a href=&//link.zhihu.com/?target=http%3A//nbviewer.jupyter.org/github/lijin-THU/notes-python/blob/master/02-python-essentials/02.04-strings.ipynb& class=& wrap external& target=&_blank& rel=&nofollow noreferrer&&02.04 字符串&/a&&/u&&/li&&li&&u&&a href=&//link.zhihu.com/?target=http%3A//nbviewer.jupyter.org/github/lijin-THU/notes-python/blob/master/02-python-essentials/02.05-indexing-and-slicing.ipynb& class=& wrap external& target=&_blank& rel=&nofollow noreferrer&&02.05 索引和分片&/a&&/u&&/li&&li&&u&&a href=&//link.zhihu.com/?target=http%3A//nbviewer.jupyter.org/github/lijin-THU/notes-python/blob/master/02-python-essentials/02.06-lists.ipynb& class=& wrap external& target=&_blank& rel=&nofollow noreferrer&&02.06 列表&/a&&/u&&/li&&li&&u&&a href=&//link.zhihu.com/?target=http%3A//nbviewer.jupyter.org/github/lijin-THU/notes-python/blob/master/02-python-essentials/02.07-mutable-and-immutable-data-types.ipynb& class=& wrap external& target=&_blank& rel=&nofollow noreferrer&&02.07 可变和不可变类型&/a&&/u&&/li&&li&&u&&a href=&//link.zhihu.com/?target=http%3A//nbviewer.jupyter.org/github/lijin-THU/notes-python/blob/master/02-python-essentials/02.08-tuples.ipynb& class=& wrap external& target=&_blank& rel=&nofollow noreferrer&&02.08 元组&/a&&/u&&/li&&li&&u&&a href=&//link.zhihu.com/?target=http%3A//nbviewer.jupyter.org/github/lijin-THU/notes-python/blob/master/02-python-essentials/02.09-speed-comparison-between-list-%26-tuple.ipynb& class=& wrap external& target=&_blank& rel=&nofollow noreferrer&&02.09 列表与元组的速度比较&/a&&/u&&/li&&li&&u&&a href=&//link.zhihu.com/?target=http%3A//nbviewer.jupyter.org/github/lijin-THU/notes-python/blob/master/02-python-essentials/02.10-dictionaries.ipynb& class=& wrap external& target=&_blank& rel=&nofollow noreferrer&&02.10 字典&/a&&/u&&/li&&li&&u&&a href=&//link.zhihu.com/?target=http%3A//nbviewer.jupyter.org/github/lijin-THU/notes-python/blob/master/02-python-essentials/02.11-sets.ipynb& class=& wrap external& target=&_blank& rel=&nofollow noreferrer&&02.11 集合&/a&&/u&&/li&&li&&u&&a href=&//link.zhihu.com/?target=http%3A//nbviewer.jupyter.org/github/lijin-THU/notes-python/blob/master/02-python-essentials/02.12-frozen-sets.ipynb& class=& wrap external& target=&_blank& rel=&nofollow noreferrer&&02.12 不可变集合&/a&&/u&&/li&&li&&u&&a href=&//link.zhihu.com/?target=http%3A//nbviewer.jupyter.org/github/lijin-THU/notes-python/blob/master/02-python-essentials/02.13-how-python-assignment-works.ipynb& class=& wrap external& target=&_blank& rel=&nofollow noreferrer&&02.13 Python 赋值机制&/a&&/u&&/li&&li&&u&&a href=&//link.zhihu.com/?target=http%3A//nbviewer.jupyter.org/github/lijin-THU/notes-python/blob/master/02-python-essentials/02.14-if-statement.ipynb& class=& wrap external& target=&_blank& rel=&nofollow noreferrer&&02.14 判断语句&/a&&/u&&/li&&li&&u&&a href=&//link.zhihu.com/?target=http%3A//nbviewer.jupyter.org/github/lijin-THU/notes-python/blob/master/02-python-essentials/02.15-loops.ipynb& class=& wrap external& target=&_blank& rel=&nofollow noreferrer&&02.15 循环&/a&&/u&&/li&&li&&u&&a href=&//link.zhihu.com/?target=http%3A//nbviewer.jupyter.org/github/lijin-THU/notes-python/blob/master/02-python-essentials/02.16-list-comprehension.ipynb& class=& wrap external& target=&_blank& rel=&nofollow noreferrer&&02.16 列表推导式&/a&&/u&&/li&&li&&u&&a href=&//link.zhihu.com/?target=http%3A//nbviewer.jupyter.org/github/lijin-THU/notes-python/blob/master/02-python-essentials/02.17-functions.ipynb& class=& wrap external& target=&_blank& rel=&nofollow noreferrer&&02.17 函数&/a&&/u&&/li&&li&&u&&a href=&//link.zhihu.com/?target=http%3A//nbviewer.jupyter.org/github/lijin-THU/notes-python/blob/master/02-python-essentials/02.18-modules-and-packages.ipynb& class=& wrap external& target=&_blank& rel=&nofollow noreferrer&&02.18 模块和包&/a&&/u&&/li&&li&&u&&a href=&//link.zhihu.com/?target=http%3A//nbviewer.jupyter.org/github/lijin-THU/notes-python/blob/master/02-python-essentials/02.19-exceptions.ipynb& class=& wrap external& target=&_blank& rel=&nofollow noreferrer&&02.19 异常&/a&&/u&&/li&&li&&u&&a href=&//link.zhihu.com/?target=http%3A//nbviewer.jupyter.org/github/lijin-THU/notes-python/blob/master/02-python-essentials/02.20-warnings.ipynb& class=& wrap external& target=&_blank& rel=&nofollow noreferrer&&02.20 警告&/a&&/u&&/li&&li&&u&&a href=&//link.zhihu.com/?target=http%3A//nbviewer.jupyter.org/github/lijin-THU/notes-python/blob/master/02-python-essentials/02.21-file-IO.ipynb& class=& wrap external& target=&_blank& rel=&nofollow noreferrer&&02.21 文件读写&/a&&/u&&/li&&/ul&&li&&a href=&//link.zhihu.com/?target=http%3A//nbviewer.jupyter.org/github/lijin-THU/notes-python/tree/master/03-numpy/& class=& wrap external& target=&_blank& rel=&nofollow noreferrer&&03. Numpy&/a&&/li&&ul&&li&&u&&a href=&//link.zhihu.com/?target=http%3A//nbviewer.jupyter.org/github/lijin-THU/notes-python/blob/master/03-numpy/03.01-numpy-overview.ipynb& class=& wrap external& target=&_blank& rel=&nofollow noreferrer&&03.01 Numpy 简介&/a&&/u&&/li&&li&&u&&a href=&//link.zhihu.com/?target=http%3A//nbviewer.jupyter.org/github/lijin-THU/notes-python/blob/master/03-numpy/03.02-matplotlib-basics.ipynb& class=& wrap external& target=&_blank& rel=&nofollow noreferrer&&03.02 Matplotlib 基础&/a&&/u&&/li&&li&&u&&a href=&//link.zhihu.com/?target=http%3A//nbviewer.jupyter.org/github/lijin-THU/notes-python/blob/master/03-numpy/03.03-numpy-arrays.ipynb& class=& wrap external& target=&_blank& rel=&nofollow noreferrer&&03.03 Numpy 数组及其索引&/a&&/u&&/li&&li&&u&&a href=&//link.zhihu.com/?target=http%3A//nbviewer.jupyter.org/github/lijin-THU/notes-python/blob/master/03-numpy/03.04-array-types.ipynb& class=& wrap external& target=&_blank& rel=&nofollow noreferrer&&03.04 数组类型&/a&&/u&&/li&&li&&u&&a href=&//link.zhihu.com/?target=http%3A//nbviewer.jupyter.org/github/lijin-THU/notes-python/blob/master/03-numpy/03.05-array-calculation-method.ipynb& class=& wrap external& target=&_blank& rel=&nofollow noreferrer&&03.05 数组方法&/a&&/u&&/li&&li&&u&&a href=&//link.zhihu.com/?target=http%3A//nbviewer.jupyter.org/github/lijin-THU/notes-python/blob/master/03-numpy/03.06-sorting-numpy-arrays.ipynb& class=& wrap external& target=&_blank& rel=&nofollow noreferrer&&03.06 数组排序&/a&&/u&&/li&&li&&u&&a href=&//link.zhihu.com/?target=http%3A//nbviewer.jupyter.org/github/lijin-THU/notes-python/blob/master/03-numpy/03.07-array-shapes.ipynb& class=& wrap external& target=&_blank& rel=&nofollow noreferrer&&03.07 数组形状&/a&&/u&&/li&&li&&u&&a href=&//link.zhihu.com/?target=http%3A//nbviewer.jupyter.org/github/lijin-THU/notes-python/blob/master/03-numpy/03.08-diagonals.ipynb& class=& wrap external& target=&_blank& rel=&nofollow noreferrer&&03.08 对角线&/a&&/u&&/li&&li&&u&&a href=&//link.zhihu.com/?target=http%3A//nbviewer.jupyter.org/github/lijin-THU/notes-python/blob/master/03-numpy/03.09-data-to-%26-from-string.ipynb& class=& wrap external& target=&_blank& rel=&nofollow noreferrer&&03.09 数组与字符串的转换&/a&&/u&&/li&&li&&u&&a href=&//link.zhihu.com/?target=http%3A//nbviewer.jupyter.org/github/lijin-THU/notes-python/blob/master/03-numpy/03.10-array-attribute-%26-method-overview-.ipynb& class=& wrap external& target=&_blank& rel=&nofollow noreferrer&&03.10 数组属性方法总结&/a&&/u&&/li&&li&&u&&a href=&//link.zhihu.com/?target=http%3A//nbviewer.jupyter.org/github/lijin-THU/notes-python/blob/master/03-numpy/03.11-array-creation-functions.ipynb& class=& wrap external& target=&_blank& rel=&nofollow noreferrer&&03.11 生成数组的函数&/a&&/u&&/li&&li&&u&&a href=&//link.zhihu.com/?target=http%3A//nbviewer.jupyter.org/github/lijin-THU/notes-python/blob/master/03-numpy/03.12-matrix-object.ipynb& class=& wrap external& target=&_blank& rel=&nofollow noreferrer&&03.12 矩阵&/a&&/u&&/li&&li&&u&&a href=&//link.zhihu.com/?target=http%3A//nbviewer.jupyter.org/github/lijin-THU/notes-python/blob/master/03-numpy/03.13-general-functions.ipynb& class=& wrap external& target=&_blank& rel=&nofollow noreferrer&&03.13 一般函数&/a&&/u&&/li&&li&&u&&a href=&//link.zhihu.com/?target=http%3A//nbviewer.jupyter.org/github/lijin-THU/notes-python/blob/master/03-numpy/03.14-vectorizing-functions.ipynb& class=& wrap external& target=&_blank& rel=&nofollow noreferrer&&03.14 向量化函数&/a&&/u&&/li&&li&&u&&a href=&//link.zhihu.com/?target=http%3A//nbviewer.jupyter.org/github/lijin-THU/notes-python/blob/master/03-numpy/03.15-binary-operators.ipynb& class=& wrap external& target=&_blank& rel=&nofollow noreferrer&&03.15 二元运算&/a&&/u&&/li&&li&&u&&a href=&//link.zhihu.com/?target=http%3A//nbviewer.jupyter.org/github/lijin-THU/notes-python/blob/master/03-numpy/03.16-universal-functions.ipynb& class=& wrap external& target=&_blank& rel=&nofollow noreferrer&&03.16 ufunc 对象&/a&&/u&&/li&&li&&u&&a href=&//link.zhihu.com/?target=http%3A//nbviewer.jupyter.org/github/lijin-THU/notes-python/blob/master/03-numpy/03.17-choose.ipynb& class=& wrap external& target=&_blank& rel=&nofollow noreferrer&&03.17 choose 函数实现条件筛选&/a&&/u&&/li&&li&&u&&a href=&//link.zhihu.com/?target=http%3A//nbviewer.jupyter.org/github/lijin-THU/notes-python/blob/master/03-numpy/03.18-array-broadcasting.ipynb& class=& wrap external& target=&_blank& rel=&nofollow noreferrer&&03.18 数组广播机制&/a&&/u&&/li&&li&&u&&a href=&//link.zhihu.com/?target=http%3A//nbviewer.jupyter.org/github/lijin-THU/notes-python/blob/master/03-numpy/03.19-reading-and-writing-arrays.ipynb& class=& wrap external& target=&_blank& rel=&nofollow noreferrer&&03.19 数组读写&/a&&/u&&/li&&li&&u&&a href=&//link.zhihu.com/?target=http%3A//nbviewer.jupyter.org/github/lijin-THU/notes-python/blob/master/03-numpy/03.20-structured-arrays.ipynb& class=& wrap external& target=&_blank& rel=&nofollow noreferrer&&03.20 结构化数组&/a&&/u&&/li&&li&&u&&a href=&//link.zhihu.com/?target=http%3A//nbviewer.jupyter.org/github/lijin-THU/notes-python/blob/master/03-numpy/03.21-record-arrays.ipynb& class=& wrap external& target=&_blank& rel=&nofollow noreferrer&&03.21 记录数组&/a&&/u&&/li&&li&&u&&a href=&//link.zhihu.com/?target=http%3A//nbviewer.jupyter.org/github/lijin-THU/notes-python/blob/master/03-numpy/03.22-memory-maps.ipynb& class=& wrap external& target=&_blank& rel=&nofollow noreferrer&&03.22 内存映射&/a&&/u&&/li&&li&&u&&a href=&//link.zhihu.com/?target=http%3A//nbviewer.jupyter.org/github/lijin-THU/notes-python/blob/master/03-numpy/03.23-from-matlab-to-numpy.ipynb& class=& wrap external& target=&_blank& rel=&nofollow noreferrer&&03.23 从 Matlab 到 Numpy&/a&&/u&&/li&&/ul&&li&&a href=&//link.zhihu.com/?target=http%3A//nbviewer.jupyter.org/github/lijin-THU/notes-python/tree/master/04-scipy/& class=& wrap external& target=&_blank& rel=&nofollow noreferrer&&04. Scipy&/a&&/li&&ul&&