ibmdbpy

View on PyPIReverse Dependencies (0)

0.1.6.post1 ibmdbpy-0.1.6.post1-py2.py3-none-any.whl

Wheel Details

Project: ibmdbpy
Version: 0.1.6.post1
Filename: ibmdbpy-0.1.6.post1-py2.py3-none-any.whl
Download: [link]
Size: 148345
MD5: 202be7b1bf2ecda2e905b99382aa9aed
SHA256: 4ce4a681bcff765aa9443f1addd9c1200d86fc195fff62cb9d31492e10db85d6
Uploaded: 2023-09-28 14:01:42 +0000

dist-info

METADATA

Metadata-Version: 2.1
Name: ibmdbpy
Version: 0.1.6.post1
Summary: A Pandas-like SQL-wrapper for in-database analytics with IBM Db2 Warehouse.
Author: IBM Corp.
Author-Email: Toni.Bollinger[at]de.ibm.com
Home-Page: https://github.com/ibmdbanalytics/ibmdbpy
License: BSD
Keywords: data analytics database development IBM Db2 Warehouse pandas scikitlearn scalability machine-learning knowledge discovery
Classifier: Development Status :: 7 - Inactive
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: End Users/Desktop
Classifier: Intended Audience :: Information Technology
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Software Development :: Build Tools
Classifier: License :: OSI Approved :: BSD License
Classifier: Operating System :: MacOS :: MacOS X
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: POSIX
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.2
Classifier: Programming Language :: Python :: 3.3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: Implementation :: CPython
Classifier: Topic :: Database
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Software Development
Requires-Dist: pandas
Requires-Dist: numpy
Requires-Dist: future
Requires-Dist: six
Requires-Dist: pypyodbc
Requires-Dist: lazy
Requires-Dist: sphinx; extra == "doc"
Requires-Dist: ipython; extra == "doc"
Requires-Dist: numpydoc; extra == "doc"
Requires-Dist: sphinx-rtd-theme; extra == "doc"
Requires-Dist: JayDeBeApi (==1.*); extra == "jdbc"
Requires-Dist: Jpype1 (==0.6.3); extra == "jdbc"
Requires-Dist: pytest; extra == "test"
Requires-Dist: flaky (==3.4.0); extra == "test"
Provides-Extra: doc
Provides-Extra: jdbc
Provides-Extra: test
License-File: LICENSE.txt
[Description omitted; length: 6921 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.41.2)
Root-Is-Purelib: true
Tag: py2-none-any
Tag: py3-none-any

RECORD

Path Digest Size
ibmdbpy/__init__.py sha256=SZKHhwWaxQRbPqnEmobFzTOKUJJ70_Hg8F8HTQNsQsY 1004
ibmdbpy/aggregation.py sha256=T-ZQI3jqD7z9qrdx_9pJtEuKFh4BjvfyW-h3NK7Y6dY 6261
ibmdbpy/base.py sha256=S0rZi0u9SZnOpg2Pfug66denyRjfsojVz9wTdhxdP2c 80441
ibmdbpy/exceptions.py sha256=RY5YbSkwbuzHEYrmDCAdQjoWJjWU-2U07CpFGYVAQro 2331
ibmdbpy/filtering.py sha256=zyt9AkzV7AVEmDDYUhLG-_rCaVdl_k19nZVkDICo13s 7710
ibmdbpy/frame.py sha256=yXz6jf97zDR5-VVXy0P6mDnqGHxHPRpDmLMiLsFVjpA 86895
ibmdbpy/geoFrame.py sha256=XXWfGd57YdvNnp19GM35L4S5RMjTPWpuZ2aho6srhXc 39017
ibmdbpy/geoSeries.py sha256=3XqfPJaleQJW5O2Cg1GXBt9xA3GLziInRjO-PS0tGrY 80307
ibmdbpy/indexing.py sha256=XQOSlyDVagk6chpoaFSnKBp2EfeRyuSZyxcgxfM8h28 4998
ibmdbpy/internals.py sha256=xnBipsdAsZ-UoZIzISw9WwohZvhgV0iCyXRbAJvCow0 17608
ibmdbpy/series.py sha256=PMPEB0dgz7Wpe1SY9AbBmBhrRhYuPHv0RW1xJ3Rp_3Q 2329
ibmdbpy/sql.py sha256=UNVD69fVBXHw7IAyCKnOM2yrsFOqguZbQIYjbX0dcrs 9359
ibmdbpy/statistics.py sha256=RaOb2sNC3MGEPXSzoZvgdt6IMcH2nvqUMwiIQTRrji0 31523
ibmdbpy/utils.py sha256=t32rJ4JWCQ0jALEN_OGV3sPwD0foTZp9M7XtGKK7Fh4 11065
ibmdbpy/feature_selection/__init__.py sha256=AZsYErhkqKOUhTfWv6vgEbIwuylt35LUAnivSv2uYVQ 957
ibmdbpy/feature_selection/chisquared.py sha256=gZjnt-emPQKXmfu8LFsZbwpvNOijpsnduEEc79BKWFI 4562
ibmdbpy/feature_selection/correlation.py sha256=qpnbJqqrvesMEI4WZdBfvG_Q1LfFKJlSjcYeW6DHeqQ 6902
ibmdbpy/feature_selection/discretize.py sha256=euURZcyjUkvkITr0J0AfoZTpvvY_bBj2UHnGHqLDOZI 5532
ibmdbpy/feature_selection/entropy.py sha256=O8oo_27mSjYPx-FnhRt-A-abtL4uYJ6bTlQVmTmtVvY 5075
ibmdbpy/feature_selection/gain_ratio.py sha256=PA1YcJr6xa8sqL3NqWfs6m1GlERc96TViBBmjUv6y4s 4229
ibmdbpy/feature_selection/gini.py sha256=1RocsJbaPTeS2phJ3kGv5CpNjbxdPuD_Vnc0HQkdXWI 4671
ibmdbpy/feature_selection/info_gain.py sha256=zoCPFpbzVxU2760Od4q7YGp6YxRwuiRCairrdZ_Uneo 3350
ibmdbpy/feature_selection/private.py sha256=V-TM1L_QmL6twRYeqeFzp4_L1mvuuAnw_t1jRsvqx-I 3100
ibmdbpy/feature_selection/symmetric_uncertainty.py sha256=41IfdO4tAZJBa1Cjne7YHybSB8HcCSpPmRds-_OHB0g 5235
ibmdbpy/feature_selection/tstats.py sha256=kWo4akG_XyLzFaCl3pGUrim-dcAHwy8epjnG4iapozM 4437
ibmdbpy/learn/__init__.py sha256=Ai5DtuLJxwkLURtXIh-yJPdMdZmaxHJ_Y1yePq0f2VI 786
ibmdbpy/learn/association_rules.py sha256=IXrhdrNygi4LlU5f7QpmmtYwW16i43FC2EVQ4VsnYB8 25895
ibmdbpy/learn/kmeans.py sha256=jjc6MwU1qDiKkmGfp6wl8QV_I5oEpyaHqS4qCaMb0jc 21143
ibmdbpy/learn/naive_bayes.py sha256=dW-Hm191ZOjAgo1_0OKFaAyHh1A1uxEvlPvoXGy-5r4 21460
ibmdbpy/sampledata/__init__.py sha256=760P1V7e9m67rmg3j0HlqAmRNInoB4wkiFAcDJ23h4c 736
ibmdbpy/sampledata/iris.py sha256=hEZQOXGBMwdJ1bAuIaxCpH70FeZijCPkvbEhp2AVA2o 1071
ibmdbpy/sampledata/iris.txt sha256=nMHDRccbzJtIa3TL9gY_pm9LteD2A6Szw0cewuXo41U 3858
ibmdbpy/sampledata/swiss.py sha256=2okPv6RivUOGeudZr9VOPSCxwx4kmYg8x7iea0SMCpk 1255
ibmdbpy/sampledata/swiss.txt sha256=anndHSzbkTWGDqEo3tYc6lx4z0gFItacDfEdB5yFiwo 1757
ibmdbpy/sampledata/titanic.py sha256=78D2LYBSPAGQnkXD20wIaF7SjSxFnWAyJtns4najuAU 1386
ibmdbpy/sampledata/titanic.txt sha256=0eylvrEshEbx9wkSQjUQQk4-OJMi99WwkKg2nGQ2Ja8 67702
ibmdbpy-0.1.6.post1.dist-info/LICENSE.txt sha256=bv1d9X1wZBgenfAKsZCw_knjdMk-gXmPYDQhTTXaPlg 1562
ibmdbpy-0.1.6.post1.dist-info/METADATA sha256=cc_InhRhmVHsggtugeSZeBTiw04k5nNDk0pJUbY9LRo 9010
ibmdbpy-0.1.6.post1.dist-info/WHEEL sha256=iYlv5fX357PQyRT2o6tw1bN-YcKFFHKqB_LwHO5wP-g 110
ibmdbpy-0.1.6.post1.dist-info/top_level.txt sha256=ZtbY7PLWbspnAjCqp76Ziy0lK0nR40xAfKy7dlGXwJ4 8
ibmdbpy-0.1.6.post1.dist-info/RECORD

top_level.txt

ibmdbpy