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Tag: Python

How to merge DataFrames in pandas (video)
Learn how to use the "merge" function in pandas so that you can combine multiple datasets into one DataFrame. Includes examples of the four types of joins.
Automating Everything With Python: Reading Time: 3 Mins
How Python is used to automate for work. With tons of areas like sales & marketing, system administration, software testing.
Scraping IMDB for Insights
Introduction A daunting task in today’s day and age is to discover what are some of the best movies that are currently out there? What are people saying about these movies and what is that makes these movies good? This is a common question I find that I’m always asking …
How I learned Python
This Article gives you how you can learn python to automate your daily activities
Evaluating Ray: Distributed Python for Massive Scalability
Dean Wampler provides a distilled overview of Ray, an open source system for scaling Python systems from single machines to large clusters. If you are interested in additional insights, register for the upcoming Ray Summit. Introduction This post is for people making technology decisions, by which I mean data science …
K-Nearest Neighbors explained
In this post, I explain the intuition and logic behind KNN algorithm and show simple implementation written in pure pandas which yield 98% accuracy on the IRIS dataset.
15 Python Libraries for Data Science You Should Know
There are quite a few great, free, open-source Python libraries for data science. In this post, we'll cover 15 of the most popular and what they can do. The post 15 Python Libraries for Data Science You Should Know appeared first on Dataquest.
Python for Beginners: Why Does Python Look the Way It Does?
When you're just getting started, looking at Python can be intimidating. Why the different colors? What are those line breaks for? Here are the answers you seek. The post Python for Beginners: Why Does Python Look the Way It Does? appeared first on Dataquest.
IEEE-CIS Fraud Detection - Detecting Fraud from Customer Transactions
Project Code | Linkedin | Github | Presentations | Email: Introduction In the middle of October last year, I went on a trip to Colombia for a week with my fiancée and decided to propose to her on the beach. While standing at the check-out counter with a long …
Analyzing NYC Hotels on TripAdvisor
Introduction New York City is often described as one of the center pieces of the world. The city attracts outsiders for its diverse culture and business opportunities. Hotel businesses thrive to meet this demand, however, competition is fierce. It is important to keep up with completing competition and reflection of …
Effect of College Selection on ROI
Description The current project applied web scraping techniques to investigate effect of degree type, college type, college major, and regionality, on early- and mid-career earnings and estimated 20 year return on investment of higher education Background College tuition is at an all-time high, and a barrier to entry for many …
Medicinal Herbs Analysis
We have been relying and using herbs to perpetuate healthy lifestyles and manage chronic illnesses for as long as we've been around. However, in the era of modern medicine we have ignored the beneficial effects of herbs in favor of well-packaged, cure-all pills with ingredients we don't understand and prices …
Protected: Web Scraping Without a Paddle
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More efficient way to sum a list comprehension
List comprehensions in Python let you create a list declaratively, much like the way you would describe the set in English. For example, [x**2 for x in range(10)] creates a list of the squares of the numbers 0 through 9. If you wanted the sum of these numbers, you could …
✚ How to Make Line Charts in Python, with Pandas and Matplotlib
The chart type can be used to show patterns over time and relationships between variables. This is a comprehensive introduction to making them using two common libraries.Tags: Matplotlib, pandas, Python
Tutorial: Python Regex (Regular Expressions) for Data Scientists
In this tutorial, learn how to use regular expressions and the pandas library to manage large data sets during data analysis. The post Tutorial: Python Regex (Regular Expressions) for Data Scientists appeared first on Dataquest.
Area of sinc and jinc function lobes
Someone left a comment this morning on my blog post on sinc and jinc integrals regarding the area of the lobes. It would be nice to have the values of integrals of each lobe, i.e. integrals between 0 and multiples of pi. Anyone knows of such a table? This post …
Minimizing context switching between shell and Python
Sometimes you’re in the flow using the command line and you’d like to briefly switch over to Python without too much interruption. Or it could be the other way around: you’re in the Python REPL and need to issue a quick shell command. One solution would be to run your …