Python is one of the world most popular and widely used high-level, general-purpose Language. There are many big organization using python for software development because of its versatile features. It provide extensive support of libraries. Scrappy is widely used Python web scraping library. It is used for creating crawling programs.
Python is often the language of choice for developers who need to apply statistical techniques or data analysis in their work. It is also used by data scientists whose tasks need to be integrated with web apps or production environments. Its combination of consistent syntax, shorter development time and flexibility makes it well-suited to developing sophisticated models and prediction engines that can plug directly into production systems. One of Python's greatest assets is its extensive set of libraries. Libraries are sets of routines and functions that are written in a given language.
Data Science, Machine Learning, and AI are some of the most trending and emerging technologies that have a lot of scope in the future. But, have you ever wondered what are the technologies that are driving this field of Computer Science and what should you learn to have an enthralling command on them. The answer is Python and its bunch of libraries. Future is all about playing with the data, therefore, most of the companies acknowledge the integral role that data will be playing in driving business decisions, and understanding people's perceptions. Python, along with R, is one of the handiest, reliable and easy tools used in Data Science today.
Reasons why python programming language is getting popular in web application development, data science and scripting. Python has emerged as one of the most popular and recommended programming languages. According to the TIOBE Programming Community Index, it is one of the top 10 programming languages. Python's offers a comprehensive library of open source data analysis tools, web development frameworks and testing tools. It is also a choicest language when it comes to beginners in programming because of its extensive introductory resources.
NLTK is a leading platform for building Python programs to work with human language data. It provides easy-to-use interfaces to lexical resources such as WordNet.It also has text processing libraries for classification, tokenization, stemming, tagging, parsing, and semantic reasoning Pattern has tools for natural language processing like part-of-speech taggers, n-gram search, sentiment analysis, WordNet.It supports machine learning vector space model, clustering, SVM. TextBlob is a Python library for processing textual data. It provides a simple API for diving into common natural language processing tasks such as part-of-speech tagging, noun phrase extraction, sentiment analysis, classification, translation, and more. Gensim is a Python library for topic modelling, document indexing and similarity retrieval with large corpora.