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Have you seen <a href="https://www.ibm.com/watson/developercloud/natural-language-classifier/api/v1/python.html?python" rel="ugc">https://www.ibm.com/watson<wbr />/developer<wbr />cloud/natu<wbr />ral-langua<wbr />ge-classif<wbr />ier/api/v1<wbr />/python.ht<wbr />ml?python</a><br />
The site shows how to install the required python modules and has examples of classifying text using python<br />

<pre><code id="code-20-42571405-1">import json
from watson_developer_cloud import NaturalLanguageClassifierV1

natural_language_classifier = NaturalLanguageClassifierV1(
  username='YOUR SERVICE USERNAME',
  password='YOUR SERVICE PASSWORD')

classes = natural_language_classifier.classify('10D41B-nlc-1', 'How hot will it be today?')
print(json.dumps(classes, indent=2))</code></pre>
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Have you seen https://www.ibm.com/watson/developercloud/natural-language-classifier/api/v1/python.html?python [https://www.ibm.com/watson/developercloud/natural-language-classifier/api/v1/python.html?python]
The site shows how to install the required python modules and has examples of classifying text using python


import json
from watson_developer_cloud import NaturalLanguageClassifierV1

natural_language_classifier = NaturalLanguageClassifierV1(
  username='YOUR SERVICE USERNAME',
  password='YOUR SERVICE PASSWORD')

classes = natural_language_classifier.classify('10D41B-nlc-1', 'How hot will it be today?')
print(json.dumps(classes, indent=2))

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I'm new to IBM Watson. I have to do natural language classification in python using Watson NLC. Can you please suggest some learning resources which will help me to learn NLC in python from scratch?
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I'm new to IBM Watson. I have to do natural language classification in python using Watson NLC. Can you please suggest some learning resources which will help me to learn NLC in python from scratch?

Learning resources for Watson NLC Classification in Python

Python is a widely used general-purpose, high-level programming language. Its design philosophy emphasizes code readability, and its syntax allows programmers to express concepts in fewer lines of code than would be possible in other languages. Python supports multiple programming paradigms, including object-oriented, imperative and functional programming or procedural styles. It features a dynamic type system and automatic memory management and has a large and comprehensive set of standard libraries, including NumPy, SciPy, Django, PyQuery, and PyLibrary.