In college, I studied Actuarial Science. When I graduated I decided to learn more about data science and programming as I had always been interested in computer science. Soon after I began studying data science at the Flatiron School, I wrote a blog about the potential overlap between these two studies of actuarial science and data...
Expand your toolkit with this new operator With the release of Python 3.8, the assignment-expression operator—also known as the walrus operator—was released. The operator enables the assignment of a value to be passed into an expression. This generally reduces the number of statements by one. For example: my_list = [1,2,3]count = len(my_list) if count >...
How to become more agile and productive with better coding habits If you’ve tried your hand at machine learning or data science, you know that code can get messy, quickly. Actual footage of me writing data science code Typically, code to train ML models is written in Jupyter notebooks and it’s full of (i) side effects...
Iterables, functions, and generators in Python To learn about the yield keyword, there are a variety of other terms and concepts that you must be comfortable with first. Before we dive into all of that, let’s keep the end in mind and talk through why yield is beneficial. Using yield will improve the memory efficiency — and subsequently, the speed/performance — when...
Load, transform, modify and save Excel-files with Python to improve your reporting processes If you work with data, you will get in touch with excel. Even if you don´t use it by yourself, your clients or colleagues will use it. Excel is great for what it is made: table calculation for smaller data sets. But...
code-server · code-server is VS Code running on a remote server, accessible through the browser. Try it out: docker run -it -p 127.0.0.1:8080:8080 -v “${HOME}/.local/share/code-server:/home/coder/.local/share/code-server“ -v “$PWD:/home/coder/project“ codercom/code-server:v2 Consistent environment: Code on your Chromebook, tablet, and laptop with a consistent dev environment. develop more easily for Linux if you have a Windows or Mac, and pick up where you...
A Quick Look at Lists Lists were one of the first things I learned about when I started exploring Python, and it wasn’t long before I realized they are a commonly used feature of the programming language. A list in the Python language is an ordered and mutable data structure that contains a collection of items...
Python 3.8 released a few weeks ago, and rather than jumping the gun on talking about the new features, I decided I wanted to get familiar with them and utilize them, and I would like to point out that I am absolutely going to be using a few of the key features implemented in Python...
RxDB A realtime Database for JavaScript Applications RxDB (short for Reactive Database) is a NoSQL-database for JavaScript Applications like Websites, hybrid Apps, Electron-Apps and NodeJs. Reactive means that you can query the current state and subscribe to all state-changes, such as the result of a query or even a single field of a document. This is useful for UI-based apps...
Learning Pandas is great. Numpy is also tons of fun. But have you maybe started using libraries to early? Maybe you are still not aware of everything pure Python has to offer. If that sounds like you, you’ll like this article. Photo by fabio on Unsplash This article will cover a couple of pretty cool pure Python functionalities that I use the most often...
After several AI projects, I realized that deploying Machine Learning (ML) models at scale is one of the most important challenges for companies willing to create value through AI, and as models get more complex it’s only getting harder. Based on my experience as a consultant, only a very small percentage of ML projects make...
Looking for a web-based tool to manage Microk8s? Look no further than the Kubernetes dashboard. If you have anything to do with IT, Kubernetes needs no introduction. However, you might not know that there’s a powerful web UI that makes working with Kubernetes significantly easier. With this web-based UI, you can manage nearly every aspect...
Tools to make ML easier Making Machine Learning easier is more possible than you think. Today we have a great variety of free open-source tools for any tastes and demands. Exploiting these tools will definitely help you to manage complex tasks and acquire new skills faster. Besides, you can always visit various online communities connected...
Microsoft’s Visual Studio code is one of the best free text editors available right now. It combines a full feature set with relative ease of use, and performance is surprisingly good for an Electron app. One of the reasons people love it, above reasons aside, is its extensibility. Like many other popular text editors, Visual...
Sooner or later, every data science project faces an inevitable challenge: speed. Working with larger data sets leads to slower processing thereof, so you’ll eventually have to think about optimizing your algorithm’s run time. As most of you already know, parallelization is a necessary step of this optimization. Python offers two built-in libraries for parallelization:...
This tutorial walks you through setting up Kubernetes the hard way. This guide is not for people looking for a fully automated command to bring up a Kubernetes cluster. If that’s you then check out Google Kubernetes Engine, or the Getting Started Guides. Kubernetes The Hard Way is optimized for learning, which means taking the long route...
As Data Scientists we become acquainted with the concept of optimization very early in our careers. Optimization lies at the heart of every machine learning model. But our relationship with optimization goes way back; we’ve been [unknowingly] solving optimization problems since before we can remember: The fastest way to get to work Organizing our budget...
We’ve picked our five favorite Integrated Development Environments Our first baby steps with Python, which typically involve making a ‘Hello World’ program and a couple of typos, don’t require much in the way of specialist tools. It’s fine to hammer out the code in a text editor, switch to a terminal, and then run it....
Inspired by awesome-php. Awesome Python Admin Panels Algorithms and Design Patterns Audio Authentication Build Tools Built-in Classes Enhancement Caching ChatOps Tools CMS Code Analysis Command-line Interface Development Command-line Tools Compatibility Computer Vision Concurrency and Parallelism Configuration Cryptography Data Analysis Data Validation Data Visualization Database Database Drivers Date and Time Debugging Tools Deep Learning DevOps Tools Distributed...
for Machine Learning with working code example… Inone of my previous posts, I talked about Data Preprocessing in Data Mining & Machine Learning conceptually. This will continue on that, if you haven’t read it, read it here in order to have a proper grasp of the topics and concepts I am going to talk about in the article. Data...
