�tle() #将每单词首字母大写 strx.swapcase() #全部大小写翻转，互换 strx.replace("old", "new") #把strx中的old替换成new strx.rstrip() #过滤掉换行符及行尾的所有空白符 strx.lstrip() #过滤掉行首的所有空白符 #添加多个元素，这些元素是 iterablexx里的，iterablexx可为list,set,tuple ③dic�onary数据操作（无序，key不重复） dictxx["new_key"] = "new_value" # 新增键值对，如果已存在则 更新值 dictxx.update(lx) #添加多个键值对，lx为另一 dictionary value2 list推导式 newlist=[表达式 for 变量 in 源列表 if 条件] #直接返回list类型 例： names=["abc", "xd�l", "fdklsaj"] new_names=[name.upper() for name in names if len(name) >3 ] ② dic�onary推导式 newdic={ key表达式: value表达式

Introduction The notebook extends the console-based approach to interactive computing in a qualitatively new direction, providing a web-based application suitable for capturing the whole computation process: default, the directory from which the notebook server was started). You can create new notebooks from the dashboard with the New Notebook button, or open existing ones by clicking on their name. You can also Open... menu option will open the dashboard in a new browser tab, to allow you to open another notebook from the notebook directory or to create a new notebook. Note: You can start more than one notebook

Introduction The notebook extends the console-based approach to interactive computing in a qualitatively new direction, providing a web-based application suitable for capturing the whole computation process: default, the directory from which the notebook server was started). You can create new notebooks from the dashboard with the New Notebook button, or open existing ones by clicking on their name. You can also Open... menu option will open the dashboard in a new browser tab, to allow you to open another notebook from the notebook directory or to create a new notebook. Note: You can start more than one notebook

Introduction The notebook extends the console-based approach to interactive computing in a qualitatively new direction, providing a web-based application suitable for capturing the whole computation process: default, the directory from which the notebook server was started). You can create new notebooks from the dashboard with the New Notebook button, or open existing ones by clicking on their name. You can also | Open… menu option will open the dashboard in a new browser tab, to allow you to open another notebook from the notebook directory or to create a new notebook. Note You can start more than one notebook

Introduction The notebook extends the console-based approach to interactive computing in a qualitatively new direction, providing a web-based application suitable for capturing the whole computation process: default, the directory from which the notebook server was started). You can create new notebooks from the dashboard with the New Notebook button, or open existing ones by clicking on their name. You can also | Open… menu option will open the dashboard in a new browser tab, to allow you to open another notebook from the notebook directory or to create a new notebook. Note You can start more than one notebook

defaults Django Cookbook Contributing Community Resources Tutorials Frequently Asked Questions What’s new in Celery 2.5 Change history API Reference Internals Indices and tables Index Module Index Search machines. Supports broker clustering and HA when used in combination with RabbitMQ. You can set up new workers without central configuration (e.g. use your grandma’s laptop to help if the queue is temporarily way to install RabbitMQ on Snow Leopard is using Homebrew [http://github.com/mxcl/homebrew/]; the new and shiny package management system for OS X. In this example we’ll install Homebrew into /lol, but

4:1 击败李世石九段 人工智能 VS. 机器学习 VS. 深度学习 人工智能发展的历史 四大宗师 Yann Lecun, Geoff Hinton, Yoshua Bengio, Andrew Ng 机器学习 机器学习是一门人工智能的科学。机器学习算法是一类从 数据中自动分析获得规律，并利用规律对未知数据进行预 测的算法 机器学习 计算机能够分辨出来他／她是谁吗？ 机器学习 机器学习

many other books. Loves Python ?. Designed t-shirt for PyCon US 2009. 96 97 99 易易經 Yìjīng 100 Elegance Begets Simplicity import sys for arg in sys.argv: print arg e-mail: luciano

under the BSD License [http://www.opensource.org/licenses/BSD-3-Clause]. Getting Started If you are new to Celery you can get started by following the First Steps with Celery tutorial. You can also check Resources Tutorials Frequently Asked Questions Change history What’s new in Celery 3.1 (Cipater) What’s new in Celery 3.0 (Chiastic Slide) What’s new in Celery 2.5 API Reference Internals History Glossary Indices input is a unit of work called a task. Dedicated worker processes constantly monitor task queues for new work to perform. Celery communicates via messages, usually using a broker to mediate between clients

under the BSD License [http://www.opensource.org/licenses/BSD-3-Clause]. Getting Started If you’re new to Celery you can get started by following the First Steps with Celery tutorial. You can also check Community Resources Tutorials Frequently Asked Questions Change history What’s new in Celery 4.0 (latentcall) What’s new in Celery 3.1 (Cipater) API Reference Internals History Glossary Indices and tables input is a unit of work called a task. Dedicated worker processes constantly monitor task queues for new work to perform. Celery communicates via messages, usually using a broker to mediate between clients