Search Results for "pickle"
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Showing 12 open source projects for "pickle"
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srsly
Modern high-performance serialization utilities for Python
This package bundles some of the best Python serialization libraries into one standalone package, with a high-level API that makes it easy to write code that's correct across platforms and Pythons. This allows us to provide all the serialization utilities we need in a single binary wheel. Currently supports JSON, JSONL, MessagePack, Pickle, and YAML. Serialization is hard, especially across Python versions and multiple platforms. After dealing with many subtle bugs over the years (encodings, locales, large files) our libraries like spaCy and Prodigy have steadily grown a number of utility functions to wrap the multiple serialization formats we need to support (especially json, msgpack and pickle). ... -
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Mihomo
A simple Python Pydantic model for Honkai
Mihomo is a Python client library leveraging Pydantic to model parsed Honkai: Star Rail user data from the Mihomo public API. It provides structured types, type hints, and convenience methods to fetch and transform player profiles, daily stats, and character details efficiently. -
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python-benedict
dict subclass with keylist/keypath support
python-benedict is a dict subclass with keylist/keypath/keyattr support, I/O shortcuts (base64, cli, csv, ini, json, pickle, plist, query-string, toml, xls, xml, yaml) and many utilities... for humans, obviously. -
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simplejson
simplejson is a simple, fast, extensible JSON encoder/decoder
...This version is tested with the latest Python 3.8 and maintains backward compatibility with Python 3.3+ and the legacy Python 2.5 - Python 2.7 releases. The encoder can be specialized to provide serialization in any kind of situation, without any special support by the objects to be serialized (somewhat like pickle). This is best done with the default kwarg to dumps. -
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Kedro
A Python framework for creating reproducible, maintainable code
Kedro is an open sourced Python framework for creating maintainable and modular data science code. Provides the scaffolding to build more complex data and machine-learning pipelines. In addition, there's a focus on spending less time on the tedious "plumbing" required to maintain data science code; this means that you have more time to solve new problems. Standardises team workflows; the modular structure of Kedro facilitates a higher level of collaboration when teams solve problems... -
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Scrapy-Redis
Redis-based components for Scrapy
...Scraped items gets pushed into a redis queued meaning that you can start as many as needed post-processing processes sharing the items queue. Scheduler + Duplication Filter, Item Pipeline, Base Spiders. Default requests serializer is pickle, but it can be changed to any module with loads and dumps functions. Note that pickle is not compatible between python versions. Version 0.3 changed the requests serialization from marshal to cPickle, therefore persisted requests using version 0.2 will not able to work on 0.3. The class scrapy_redis.spiders.RedisSpider enables a spider to read the urls from redis. ... -
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bKappa
Cross-platform incremental backup
...If you are looking for that, BorgBackup and restic are good options as of 2024. Warning! Old 1.x versions of bKappa are insecure. Do not use them. Because backup metadata is serialized with the "pickle" Python module (https://docs.python.org/2.7/library/pickle.html), a malicious backup can take over your machine. -
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sqlitedict
Persistent dict, backed by sqlite3 and pickle, multithread-safe
sqlitedict is a lightweight Python wrapper that provides a persistent dictionary backed by SQLite. Applications interact with stored data using familiar dictionary operations such as indexing, keys, values, items, and length. Values can contain any picklable Python object instead of being restricted to basic SQL types. Multiple independent dictionary tables can live inside the same SQLite database file. The library supports access to one connection from multiple threads while internally... -
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Python Data Science Tutorials
Common data analysis and machine learning tasks using python
...Its machine learning sections cover practical algorithms and libraries, including regression, classification, clustering, support vector machines, and computer vision resources. Additional material addresses text mining, sentiment analysis, serialization with pickle, AutoML, regular expressions, and web scraping. The repository is organized by topic so learners can use it as a study roadmap or troubleshooting index. Many links document the earlier Python data science ecosystem, making the project especially valuable as a broad historical resource collection. -
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MAD-X Python Builder
Build windows executable from Python file. Easily compiler your Python
Build windows executable from your Python file, with areas that requires your program info, description, Icon etc. It is possible to load existing data sets, given they are under corresponding Pickle formats, while saving also generates an Pickle file. Info fields can meet most demands, Windowed or consoled program type. One-file or Folder package, Encryption module, Hidden-Imports, UPX Compatible, Icon, program end-name, Debug mode and more. -
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A simple toolbox for building and evaluating web surveys. Submit protected by vote codes. The client is JavaScript, the server side and eval script is Python, communication in JSON. Stores all data in pickle files.
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TrustedPickle is a Python module which lets you create and sign your data files. By using public/private key techniques, this module protects your users from loading malicious data files that others might claim you created. LEGAL FOR EXPORT.
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