Hi! I'm Vicente, your friendly Filipino mod for the #python tag. Today is another episode of the Top Python Posts of the month!

At the end of each month, I'll be curating the top #python posts based on traffic & engagement.

1.) The Interview Study Guide For Software Engineers

Software engineering interviews, like other technical interviews, require plenty of preparation. There are a number of subjects that need to be covered in order to ensure you are ready for back-to-back questions on algorithms, data structures, design, optimization and honestly just an ever growing basket of subjects.

The Interview Study Guide For Software Engineers

SeattleDataGuy ・ Sep 15 '19

#career#beginners#sql#python

2.) Build Virtual Assistant with Python | Automate Tasks

In this lab we are going to build demo TARS from Interstellar movie with Python. TARS can help you to automate your tasks such as search videos in YouTube and play them, send emails, open websites, search materials in Wikipedia and read them,inform weather forecast in your country, greetings and more. By building TARS you will increase your Python knowledge and learn many useful libraries/tools. I will push source code to my git repository so feel free to contribute and improve functionality of TARS

3.) Flask Boilerplate - Open-Source Apps built with automation tools

What is a Boilerplate?

In programming, boilerplate code is a piece of software that can be reused over and over without changing a single line of code. The whole idea behind a starter (sometimes boilerplate code) is to skip coding that piece of code common to many projects.

Flask Boilerplate - Open-Source Apps built with automation tools

Sm0ke ・ Sep 13 '19

#python#boilerplate#automation#appseed

4.) Python 'is' vs '=='

If you want to check that elements point to the same object, use is. If you're only interested in the equality of the values, use ==.

Python 'is' vs '=='

Kelvin Wangonya ・ Sep 6 '19

#beginners#python

5.) Introduction to natural language processing

NLP is a class of tasks (computer algorithms) to work with text in natural languages, for example: named entity recognition (NER), part-of-speech tagging (POS), text categorization, coreference resolution, etc.

Introduction to natural language processing

stereobooster ・ Sep 21 '19

#python#machinelearning#datascience#beginners

That wraps up the top#python posts for this month. If you'd like to read more, check out#python or followThe Python Dev on Twitter!