GitHub - jvns/pandas-cookbook: Recipes for using Python's pandas library
Try it in your browser with Jupyter Lite: pandas is a Python library for doing data analysis. It's really fast and lets you do exploratory work incredibly quickly. The goal of this cookbook is to give you some concrete examples for getting started with pandas. The docs are really comprehensive. However, I've often had people tell me that they have some trouble getting started, so these are example
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Below you will find resources from my presentation on High Performance Django. Slides Profiling Middleware Template Engine Benchmarks: Real-world Example, Benchmark Testcase Related Posts Denormalizing Model Abstraction in Django (December 29th, 2008) An Identity Mapper in Django (formerly Django Singletons) (December 2nd, 2008) Spaceless HTML in Django (December 1st, 2008) Sidebar Widgets Com
An Erlang Port in Python « Python recipes « ActiveState Code
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 import sys, os, struct, traceback from cStringIO imp
Lazy Lists for python 2.5 « Python recipes « ActiveState Code
ActiveState Code (http://code.activestate.com/recipes/576429/) Dan Spitz submitted a recipe ( 576410 ) for recursively defined lazy lists backed by a generator. Only catch was that it was written for python 3k. But there is nothing intrinsic in 3k that prevents you from having the same functionality in python 2.5, so I am supplying the backport here. 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19
safer serialization of simple python types « Python recipes « ActiveState Code
safer serialization of simple python types (Python recipe) by S W Unpickling from an untrusted source, such as a network connection, can allow maliciously formed pickles to run arbitrary code. This recipe presents a simple solution for serializing and unserializing simple Python types. Only simple Python types can be serialized, which makes the use of this algorithm safer than using the pickle mod
safer serialization of simple python types, part two « Python recipes « ActiveState Code
safer serialization of simple python types, part two (Python recipe) by S W This recipe is a reimplemtation of this recipe, http://aspn.activestate.com/ASPN/Cookbook/Python/Recipe/415503 using Python 2.4 decorator syntax. It also has added support for boolean and unicode types, and a keyword argument (compress=False) for the dumps function, which will compress the string. 1 2 3 4 5 6 7 8 9 10 11 1
Y combinator « Python recipes « ActiveState Code
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 ''' Implementation of the fixed point combinator Y. ----------------------------------------------- The Y combinator is a higher order function that suffices following relation: Y(F) = F(Y(F)) From the fixed point property we can get an idea on
Creating a daemon the Python way « Python recipes « ActiveState Code
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Parsing an XML file with xml.parsers.expat « Python recipes « ActiveState Code
xml2obj « Python recipes « ActiveState Code
Converting XML to Dictionary and back « Python recipes « ActiveState Code
xmlreader2 « Python recipes « ActiveState Code
turn the structure of a XML-document into a combination of dictionaries and lists « Python recipes « ActiveState Code
Lazy Lists « Python recipes « ActiveState Code
Trees and more trees « Python recipes « ActiveState Code
Extensible object to XML convertor « Python recipes « ActiveState Code
Simple XML serlializer/de-serializer using Python dictionaries and marshalling « Python recipes « ActiveState Code
Pickle Python Objects to a DOM tree and vice versa « Python recipes « ActiveState Code