例如,通过将命令转化为不可变的数据结构(如Clojure的Persistent Data Structures),我们可以实现类似命令历史和撤销操作的功能,同时保持函数式编程的优点,如无副作用和易于并行处理。 7.2.2 结合函数式编程的命令式设计思路 在函数式编程中,命令模式的思想可通过函数组合、monad等概念得以体现。例如, Haskell 中的IO ...
Python bindings to the Rust rpds crate for persistent data structures. What's here is quite minimal (in transparency, it was written initially to support replacing pyrsistent in the referencing library). If you see something missing (which is very likely), a PR is definitely welcome to add...
Pyrsistent is a number of persistent collections (by some referred to as functional data structures). Persistent in the sense that they are immutable.All methods on a data structure that would normally mutate it instead return a new copy of the structure containing the requested updates. The ...
The sqlite3 module is a wrapper for the SQLite database library, providing a persistent database that can be updated and accessed using slightly nonstandard SQL syntax. Internationalization is supported by a number of modules including gettext, locale, and the codecs package.好...
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Jan 23 site — Site-wide Configuration — PyMOTW 3 Jan 16 shelve — Persistent Storage of Objects — PyMOTW 3 Jan 9 sysconfig — Interpreter Compile-time Configuration — PyMOTW 3 Jan 2 xmlrpc.server — An XML-RPC server — PyMOTW 3 2016Dec...
Its configurable request routing and persistent URL queues let developers tackle large-scale projects without worrying about re-engineering their crawlers when requirements evolve. Plus, features like automatic parallel crawling and pluggable storage set Crawlee apart as a tool that not only scales ...
When you are ready, reversing this process unpickles your persistent pickled data and recreates your data in its original form within Python’s memory:Save with dump and restore with load Using pickle is straightforward: import the required module, then use dump() to save your data and, some...
Flat files for data storage SQL to improve access to persistent data SQLite for data storage SQLAlchemy to work with data as Python objectsYou can get all of the code and data you’ll see in this tutorial by clicking on the link below:Download the sample code: Click here to get the ...
"cells": [ { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 86 }, "id": "dKjZ-iZWw0Lc", "outputId": "30859861-e042-4912-9d08-f10740731ece" }, "outputs": [ { "output_type": "display_data"...