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Getting Started with Pandas

Modeling Python Tools & Languages Pandas West 2020posted by ODSC Community September 16, 2020

Pandas is a popular data analysis library built on top of the Python programming language. It assists with common manipulations for data cleaning, joining, sorting, filtering, deduping, and more. First released in 2009, pandas now sits as the epicenter of Python’s vast data science ecosystem and is an essential... Read more

Removing Items From a Set – remove(), pop(), and difference

Modeling Python Tools & Languagesposted by ODSC Community September 10, 2020

Python has a rich collection of built-in data structures. These data structures are sometimes called “containers” or “collections” because they contain a collection of individual items. These structures cover a wide variety of common programming situations. In this recipe, we’ll look at how we can update a set by removing or replacing... Read more

An Introduction to AWS Networking – Virtual Private Cloud

Modeling Python Tools & Languages AWSposted by ODSC Community June 22, 2020

Cloud computing is one of the major trends in computing today and has been for many years. Public cloud providers have transformed the start-up industry and what it means to launch a service from scratch. We no longer need to build our own infrastructure; we can pay public cloud... Read more

Creating if/elseif/else Variables in Python/Pandas

Python Tools & Languagesposted by Steve Miller March 27, 2020

Frequencies and Chaining in Python-Pandas

Python Tools & Languages Pandasposted by Steve Miller March 24, 2020

A few years ago, in a Q&A session following a presentation I gave on data analysis (DA) to a group of college recruits for my then consulting company, I was asked to name what I considered the most important analytic technique. Though a surprise to the audience, my answer,... Read more

Creating a Data Analysis Pipeline in Python

Conferences ODSC Speaker Python Tools & Languages East 2020 Snakemakeposted by ODSC Community March 13, 2020

The goal of a data analysis pipeline in Python is to allow you to transform data from one state to another through a set of repeatable, and ideally scalable, steps. Problems for which I have used data analysis pipelines in Python include: Processing financial / stock market data, including... Read more

Guide to R and Python in a Single Jupyter Notebook

Python R Tools & Languages jupyterposted by Matthew Stewart March 6, 2020

Why pick one when you can use both at the same time? R is primarily used for statistical analysis, while Python provides a more general approach to data science. R and Python are object-oriented towards data science for programming language. Learning both is an ideal solution. Python is a... Read more

15+ Free and Paid Resources to Learn Python

Featured Post Python Tools & Languagesposted by Elizabeth Wallace, ODSC January 24, 2020

Python is one of the most significant skills you’ll need not only in data science but in any position in the development/tech world. It’s used in a variety of fields and has a reputation for being easy to learn and simple to use. Here are 15+ free and paid... Read more

Scikit Optimize: Bayesian Hyperparameter Optimization in Python

Python Tools & Languages Python scikit optimizeposted by Jakub Czakon January 23, 2020

So you want to optimize hyperparameters of your machine learning model and you are thinking whether Scikit Optimize is the right tool for you? You are in the right place. In this article I will: show you an example of using skopt on a real problem, evaluate this library based on... Read more

Implementing a Kernel Principal Component Analysis in Python

Modeling Python Tools & Languages principal component analysisposted by ODSC Community November 26, 2019

In this article, we discuss implementing a kernel Principal Component Analysis in Python, with a few examples. Many machine learning algorithms make assumptions about the linear separability of the input data. The perceptron even requires perfectly linearly separable training data to converge. Other algorithms that we have covered so... Read more