Enhance classifiers, add PyPI badges and long description for PyPI (#107

)

* drop support for Python 3.4 and enhance classifiers

* bring Python 3.4 back

.travis.yml

@@ -9,7 +9,6 @@ matrix:
   include:
   - python: 3.7
     dist: xenial
-    sudo: true
 
 install:
   - pip install -r requirements-test.txt

README.md

@@ -2,7 +2,9 @@
 
 [![Build Status](https://travis-ci.org/BayesWitnesses/m2cgen.svg?branch=master)](https://travis-ci.org/BayesWitnesses/m2cgen)
 [![Coverage Status](https://coveralls.io/repos/github/BayesWitnesses/m2cgen/badge.svg?branch=master)](https://coveralls.io/github/BayesWitnesses/m2cgen?branch=master)
-[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)
+[![License: MIT](https://img.shields.io/github/license/BayesWitnesses/m2cgen.svg)](https://github.com/BayesWitnesses/m2cgen/blob/master/LICENSE)
+[![Python Versions](https://img.shields.io/pypi/pyversions/m2cgen.svg?logo=python&logoColor=white)](https://pypi.org/project/m2cgen)
+[![PyPI Version](https://img.shields.io/pypi/v/m2cgen.svg?logo=pypi&logoColor=white)](https://pypi.org/project/m2cgen)
 
 **m2cgen** (Model 2 Code Generator) - is a lightweight library which provides an easy way to transpile trained statistical models into a native code (Python, C, Java, Go, JavaScript).
 
@@ -91,7 +93,7 @@ public class Model {
 }
 ```
 
-**You can find more examples of generated code for different models/languages [here](https://github.com/BayesWitnesses/m2cgen/tree/master/generated_code_examples)**
+**You can find more examples of generated code for different models/languages [here](https://github.com/BayesWitnesses/m2cgen/tree/master/generated_code_examples).**
 
 ## CLI
 

setup.py

@@ -1,10 +1,15 @@
 from setuptools import find_packages, setup
 
+with open("README.md", encoding="utf-8") as f:
+    long_description = f.read()
+
 setup(
     name="m2cgen",
     version="0.4.1",
     url="https://github.com/BayesWitnesses/m2cgen",
     description="Code-generation for various ML models into native code.",
+    long_description=long_description,
+    long_description_content_type="text/markdown",
     license="MIT",
     packages=find_packages(exclude=["tests.*", "tests"]),
     package_data={
@@ -16,7 +21,9 @@
         "Intended Audience :: Developers",
         "Topic :: Software Development :: Code Generators",
         "Topic :: Software Development :: Libraries :: Python Modules",
+        "Topic :: Scientific/Engineering :: Artificial Intelligence",
         "License :: OSI Approved :: MIT License",
+        "Operating System :: OS Independent",
         "Programming Language :: Python :: 3",
         "Programming Language :: Python :: 3.4",
         "Programming Language :: Python :: 3.5",
@@ -25,7 +32,7 @@
         "Programming Language :: Python :: Implementation :: CPython",
     ],
     keywords="sklearn ml code-generation",
-    python_requires="!=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*",
+    python_requires=">=3.4",
     install_requires=[
         "numpy",
         "scipy",