version v0.1.2 released

Author: ashishpatel26

CHANGLOG.txt

@@ -1,5 +1,10 @@
-- Changelog for v0.0.1 (2021-10-24)
+- Changelog for v0.1.2 (2021-10-31)
+--------------------------------------------------
+  * tensorflow, flask, fastapi, kats(timeseriess) 
+  
+- Changelog for v0.1.1 (2021-10-24)
 --------------------------------------------------
   * datascienv package first release.
   * add almost all package for machine learning  environment.
   * README.md: all installation guide
+

LICENSE

@@ -1,6 +1,6 @@
 MIT License
 
-Copyright (c) 2020 Ashish Patel
+Copyright (c) 2021 Ashish Patel
 
 Permission is hereby granted, free of charge, to any person obtaining a copy
 of this software and associated documentation files (the "Software"), to deal

README.md

@@ -4,7 +4,7 @@
 
 This package helps to setup your Data Science environment in single line.
 
-Developed by Ashish Patel(c) 2020.
+Developed by Ashish Patel(c) 2021.
 
 ## datascienv
 

datascienv.egg-info/PKG-INFO

@@ -1,13 +1,14 @@
 Metadata-Version: 2.1
 Name: datascienv
-Version: 0.1.1
+Version: 0.1.2
 Summary: Data Science package for setup data science environment in single line
 Home-page: http://github.com/ashishpatel26/datascienv
 Author: ashishpatel26
 Author-email: ashishpatel.ce.2011@gmail.com
 License: UNKNOWN
-Description: 
-        # Data Science Environment Setup in single line
+Description: # Data Science Environment Setup in single line
+        
+        #  [![PyPI version](https://badge.fury.io/py/datascienv.svg)](https://badge.fury.io/py/datascienv) [![GitHub version](https://badge.fury.io/gh/ashishpatel26%2Fdatascienv.svg)](https://badge.fury.io/gh/ashishpatel26%2Fdatascienv) [![PyPI license](https://img.shields.io/pypi/l/ansicolortags.svg)](https://pypi.python.org/pypi/ansicolortags/) [![forthebadge made-with-python](http://ForTheBadge.com/images/badges/made-with-python.svg)](https://www.python.org/) 
 
         This package helps to setup your Data Science environment in single line.
 
@@ -48,37 +49,35 @@ Description:
 
         #### Installation
 
-        datasciecne is currently available on the PyPi's repository and you can install it via pip:
+        * datascience is currently available on the PyPi's repository and you can install it via pip:
 
         ```bash
         pip install -U datascienv
         ```
 
-        The package is release also in Anaconda Cloud platform:
-        
-        ```bash
-        conda install -c conda-forge datascienv
-        ```
-        
-        If you prefer, you can clone it and run the setup.py file. Use the following commands to get a copy from GitHub and install all dependencies:
+        * If you prefer, you can clone it and run the setup.py file. Use the following commands to get a copy from GitHub and install all dependencies:
 
         ```bash
         git clone https://github.com/ashishpatel26/datascienv.git
         cd datascienv
         pip install .
         ```
 
-        Or install using pip and GitHub:
+        * Or install using pip and GitHub:
 
         ```bash
         pip install -U git+https://github.com/ashishpatel26/datascienv.git
         ```
-Keywords: pandas,numpy,scipy,matplotlib,seaborn,scikit-learn,statsmodels,pyforest,pycaret,jupyter,xgboost,imbalanced-learn,bokeh,Boruta,spyder,mlxtend,lightgbm,catboost,Data Science,Package,Data science environment setup package,Package,datascienv
-Platform: UNKNOWN
-Classifier: Development Status :: 1 - Planning
-Classifier: Intended Audience :: Developers
+        
+        * **Warnings:** If you find this type of warning then ignore that warning.
+        
+        ![](https://raw.githubusercontent.com/ashishpatel26/datascienv/main/img/warning.jpg)
+        
+        ---
+        
+        
+Keywords: Datascienv,Data Science installation in single line,data science,datascience,datasci,datascience environment
+Platform: any
+Classifier: License :: OSI Approved :: MIT License
 Classifier: Programming Language :: Python :: 3
-Classifier: Operating System :: Unix
-Classifier: Operating System :: MacOS :: MacOS X
-Classifier: Operating System :: Microsoft :: Windows
 Description-Content-Type: text/markdown

datascienv.egg-info/requires.txt

@@ -7,12 +7,17 @@ scikit-learn
 statsmodels
 pyforest
 pycaret
+Flask
+fastapi
 jupyter
 xgboost
 imbalanced-learn
 bokeh
+kat
 Boruta
 spyder
 mlxtend
 lightgbm
 catboost
+tensorflow-cpu==2.6.0
+tensorflow-gpu==2.6.0

dist/datascienv-0.1.2-py3-none-any.whl

@@ -2,14 +2,11 @@
 import codecs
 import os
 
-here = os.path.abspath(os.path.dirname(__file__))
+with open("README.md") as f:
+    long_description = f.read()
 
-with codecs.open(os.path.join(here, "README.md"), encoding="utf-8") as fh:
-    long_description = "\n" + fh.read()
-
-VERSION = '0.1.1'
+VERSION = '0.1.2'
 DESCRIPTION = 'Data Science package for setup data science environment in single line'
-LONG_DESCRIPTION = 'A package that allow you to build data science environment in single line of code and save your time. It is include one line import package pyforest so you can upload all environment in single line of code'
 
 # Setting up
 setup(
@@ -22,20 +19,17 @@
     long_description=long_description,
     packages=find_packages(),
     install_requires=['pandas', 'numpy', 'scipy', 'matplotlib', 'seaborn', 
-                      'scikit-learn', 'statsmodels', 'pyforest', 'pycaret', 
-                      'jupyter', 'xgboost', 'imbalanced-learn', 'bokeh', 
-                      'Boruta', 'spyder', 'mlxtend', 'lightgbm', 'catboost'],
-    keywords=['pandas', 'numpy', 'scipy', 'matplotlib', 'seaborn', 'scikit-learn', 'statsmodels', 'pyforest', 'pycaret', 'jupyter', 'xgboost', 'imbalanced-learn', 'bokeh', 'Boruta', 'spyder', 'mlxtend', 'lightgbm', 'catboost', 'Data Science', 'Package',
-              'Data science environment setup package', 'Package', 'datascienv'],
+                      'scikit-learn', 'statsmodels', 'pyforest', 'pycaret', 'Flask', 'fastapi',
+                      'jupyter', 'xgboost', 'imbalanced-learn', 'bokeh', 'kat',
+                      'Boruta', 'spyder', 'mlxtend', 'lightgbm', 'catboost',
+                      'tensorflow-cpu==2.6.0', 'tensorflow-gpu==2.6.0'],
+    keywords=['Datascienv', 'Data Science installation in single line', 'data science', 'datascience', 'datasci', 'datascience environment'],
     url='http://github.com/ashishpatel26/datascienv',
     include_package_data=True,
     classifiers=[
-        "Development Status :: 1 - Planning",
-        "Intended Audience :: Developers",
+        "License :: OSI Approved :: MIT License",
         "Programming Language :: Python :: 3",
-        "Operating System :: Unix",
-        "Operating System :: MacOS :: MacOS X",
-        "Operating System :: Microsoft :: Windows",
     ],
+    platforms=["any"],
     zip_safe=True,
 )