Datasets:

ajibawa-2023
/

Python-Code-Large

code stringlengths 1 1.72M	language stringclasses 1 value
if False: # set to True to insert test data store(store.product.id > 0).delete() store(store.category.id > 0).delete() if len(store(store.product.id > 0).select()) == 0: fantasy_id = store.category.insert(name='Fantasy', description='Fantasy books', small_image='testdata/hp1.jpg') hp1 = ...	Python
UNDEFINED = -1 if request.env.web2py_runtime_gae: # if running on Google App Engine store = DAL('gae') # connect to Google BigTable session.connect(request, response, db=store) # and store sessions and tickets there else: store = DAL("sqlite://store.db") store.define...	Python
# import re # delimiter to use between words in URL URL_DELIMITER = '-' def pretty_url(id, name): """Create pretty URL from record name and ID """ return '%s%s%d' % (' '.join(re.sub('[^\w ]+', '', name).split()).replace(' ', URL_DELIMITER), URL_DELIMITER, id) def pretty_id(url): """Extract id fr...	Python
########################################################### ### make sure administrator is on localhost ############################################################ import os, socket, datetime,copy import gluon.contenttype import gluon.fileutils ### crytical --- make a copy of the environment global_env=copy.copy(glo...	Python
if not session.cart: # instantiate new cart session.cart, session.balance = [], 0 session.google_merchant_id = mystore.google_merchant_id response.menu = [ ['Store Front', request.function == 'index', URL(r=request, f='index')], ['About Us', request.function == 'aboutus', URL(r=request, f='aboutus')]...	Python
########################################################### ### make sure administrator is on localhost ############################################################ import os from gluon.contenttype import contenttype from gluon.fileutils import check_credentials, listdir if not session.authorized and not request.func...	Python
#!/usr/bin/python2.4 # # Copyright 2007 The Python-Twitter Developers # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by...	Python
#!/usr/bin/python2.4 # # Copyright 2007 The Python-Twitter Developers # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by...	Python
"""Implementation of JSONEncoder """ import re try: from simplejson._speedups import encode_basestring_ascii as c_encode_basestring_ascii except ImportError: c_encode_basestring_ascii = None try: from simplejson._speedups import make_encoder as c_make_encoder except ImportError: c_make_encoder = None ...	Python
"""Implementation of JSONDecoder """ import re import sys import struct from simplejson.scanner import make_scanner try: from simplejson._speedups import scanstring as c_scanstring except ImportError: c_scanstring = None __all__ = ['JSONDecoder'] FLAGS = re.VERBOSE \| re.MULTILINE \| re.DOTALL def _floatconst...	Python
r"""JSON (JavaScript Object Notation) <http://json.org> is a subset of JavaScript syntax (ECMA-262 3rd edition) used as a lightweight data interchange format. :mod:`simplejson` exposes an API familiar to users of the standard library :mod:`marshal` and :mod:`pickle` modules. It is the externally maintained version of ...	Python
r"""Using simplejson from the shell to validate and pretty-print:: $ echo '{"json":"obj"}' \| python -msimplejson.tool { "json": "obj" } $ echo '{ 1.2:3.4}' \| python -msimplejson.tool Expecting property name: line 1 column 2 (char 2) """ import simplejson def main(): import sys if l...	Python
"""JSON token scanner """ import re try: from simplejson._speedups import make_scanner as c_make_scanner except ImportError: c_make_scanner = None __all__ = ['make_scanner'] NUMBER_RE = re.compile( r'(-?(?:0\|[1-9]\d*))(\.\d+)?([eE][-+]?\d+)?', (re.VERBOSE \| re.MULTILINE \| re.DOTALL)) def py_make_scan...	Python
#!/usr/bin/python2.4 '''Load the latest update for a Twitter user and leave it in an XHTML fragment''' __author__ = 'dewitt@google.com' import codecs import getopt import sys import twitter TEMPLATE = """ <div class="twitter"> <span class="twitter-user"><a href="http://twitter.com/%s">Twitter</a>: </span> <span...	Python
#!/usr/bin/python2.4 '''Post a message to twitter''' __author__ = 'dewitt@google.com' import ConfigParser import getopt import os import sys import twitter USAGE = '''Usage: tweet [options] message This script posts a message to Twitter. Options: -h --help : print this help --consumer-key : the twit...	Python
#!/usr/bin/python2.4 # # Copyright 2007 The Python-Twitter Developers # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by...	Python

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Python-Code-Large

Python-Code-Large is a large-scale corpus of Python source code comprising more than 2 million rows of Python code. The dataset is designed to support research in large language model (LLM) pretraining, code intelligence, software engineering automation, and program analysis for the Python ecosystem.

By providing a high-volume, language-specific corpus, Python-Code-Large enables systematic experimentation in Python-focused model training, domain adaptation, and downstream code understanding tasks.

Python-Code-Large addresses the need for a dedicated Python-only dataset at substantial scale, enabling focused research across data science, backend systems, automation, scientific computing, and AI-driven Python environments.

1. Dataset Composition

Programming Language: Python

Size: 2M+ rows of Python code

File Format: .jsonl

Each record is stored as structured JSON Lines format for efficient streaming, large-scale training, and distributed processing.

Content Types

The dataset includes a wide variety of Python constructs and paradigms, such as: