IDEs are software applications that provide software programmers with a suite of services such as coding interfaces, debugging, and compiling/interpreting. Python programmers are spoilt for choice as there are many open source IDEs for Python, including Jupyter Notebook, spyder, atom, and pycharm, and each IDE comes with its own set of features. We have used Jupyter Notebook for this book. and all the code and exercises discussed in this book can be accessed at https://github.com/PacktPublishing/Hands-On-Python-Natural-Language-Processing.
Jupyter Notebook is the IDE of choice for pedagogical purposes as it allows us to weave together code blocks, narrative, multimedia, and graphs in one flowing notebook format. It comes pre-packaged with the Anaconda Python distribution and installing it is quite simple. Please refer to the very nicely written beginner's guide, which should help you gain a basic understanding of Jupyter Notebook: https://jupyter-notebook...
