This is the 18th article in my series of articles on Python for NLP. In my previous article, I explained how to create a deep learning-based movie sentiment analysis model using Python's Keras library. In that article, we saw how we can perform sentiment analysis of user reviews regarding different
Tag: python
Total 226 Posts
There are a number of different ways to format strings in Python, one of which is done using the % operator, which is known as the string formatting (or interpolation) operator. In this article we'll show you how to use this operator to construct strings with a template string and variables
Introduction
In this tutorial, we are going to learn how to use Python's PDB module for debugging Python applications. Debugging refers to the process of removing software and hardware errors from a software application. PDB stands for "Python Debugger", and is a built-in interactive source code debugger with
Introduction
Memory management is the process of efficiently allocating, de-allocating, and coordinating memory so that all the different processes run smoothly and can optimally access different system resources. Memory management also involves cleaning memory of objects that are no longer being accessed.
In Python, the memory manager is responsible for
Introduction
Systems are getting more complex as time goes by and this warrants the need to decouple systems more. A decoupled system is easier to build, extend, and maintain in the long run since not only does decoupling reduce the complexity of the system, each part of the system can
As already pointed out in a previous article titled Commenting Python Code you have learned that documentation is an essential, and a continuous step in the process of software development. The article mentioned above briefly introduced the concept of docstrings which is a way to create documentation for your Python
Using a computer in order to do rather complex Math is one of the reasons this machine was originally developed. As long as integer numbers and additions, subtractions, and multiplications are exclusively involved in the calculations, everything is fine. As soon as floating point numbers or fractions, as well as
Introduction
Transfer learning is a powerful technique for training deep neural networks that allows one to take knowledge learned about one deep learning problem and apply it to a different, yet similar learning problem.
Using transfer learning can dramatically speed up the rate of deployment for an app you are
