Python lists can be reversed using built-in methods reverse(), reversed() or by [::-1] list slicing technique. The reverse() built-in method reverses the list in place while the slicing technique creates a copy of the original list. The reversed() method simply returns a list iterator that returns elements in reverse order. Below are the three built-in, common method used for reversing Python lists. 1. Reversing lists in-place using reverse() Bash 1 2 3 4 5 6 >>> nums = [1,2,3,4,5,6,7,8] >>> type(nums.reverse()) <type 'NoneType'> >>> nums [8, 7 ..read more

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Welcome to PySnacks! PySnacks brings quality Python tutorials on Data Structure, Machine Learning, web and backend development. Hi There! My name is Kundan Kumar and I am the founder, publisher and the gatekeeper of PySnacks. I believe learning should never stop. I created PySnacks to share what I learn, with a hope that it may help others with similar interest. I am a software engineer. I started in the software industry in 2011, and have worked with Samsung R&D, Ittiam Systems and LeadSift. Recently, I moved to Canada to pursue Masters in Computer Science. I currently work at LeadSift w ..read more

A Guide on Python's Request Library ..read more

Web Scraping at scale using Python Multithreading ..read more

In this tutorial, we will learn how to use BERT for text classification. We will begin with a brief introduction of BERT, its architecture and fine-tuning mechanism. Then we will learn how to fine-tune BERT for text classification on following classification tasks: Binary Text Classification: IMDB sentiment analysis with BERT [88% accuracy]. Multi-class Text Classification: 20-Newsgroup classification with BERT [90% accuracy]. Multi-label Text Classification: Toxic-comment classification with BERT [90% accuracy]. We will use BERT through the keras-bert Python library, and train and test our ..read more