2023

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Replacing Pandas with Polars. A Practical Guide.

Confessions of a Data Guy

I remember those days, oh so long ago, it seems like another lifetime. I haven’t used Pandas in many a year, decades, or whatever. We’ve all been there, done that. Pandas I mean. I would dare say it’s a rite of passage for most data folk. For those using Python, it’s probably one of the […] The post Replacing Pandas with Polars.

Python 361
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AI is Eating Data Science

KDnuggets

When it's all said and done, and AI has been universally recognized as our rightful overlords, the idea of data science as a standalone field will have been but a blip on our collective radar.

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What is an Open Table Format? & Why to use one?

Start Data Engineering

1. Introduction 2. What is an Open Table Format (OTF) 3. Why use an Open Table Format (OTF) 3.0. Setup 3.1. Evolve data and partition schema without reprocessing 3.2. See previous point-in-time table state, aka time travel 3.3. Git like branches & tags for your tables 3.4. Handle multiple reads & writes concurrently 4. Conclusion 5. Further reading 6.

Data 322
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Scala as a Junior Developer

Rock the JVM

By Lucas Nouguier Hey everyone, Daniel here. Lucas’ story is shared by lots of beginner Scala developers, which is why I wanted to post it here on the blog. I’ve watched thousands of developers learn Scala from scratch, and, like Lucas, they love it! If you want to learn Scala well and fast, take a look at my Scala Essentials course at Rock the JVM.

Scala 142
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Generative AI Deep Dive: Advancing from Proof of Concept to Production

Speaker: Maher Hanafi, VP of Engineering at Betterworks & Tony Karrer, CTO at Aggregage

Executive leaders and board members are pushing their teams to adopt Generative AI to gain a competitive edge, save money, and otherwise take advantage of the promise of this new era of artificial intelligence. There's no question that it is challenging to figure out where to focus and how to advance when it’s a new field that is evolving everyday. 💡 This new webinar featuring Maher Hanafi, CTO of Betterworks, will explore a practical framework to transform Generative AI prototypes into

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Uniting the Machine Learning and Data Streaming Ecosystems - Part 1

Confluent

The future of data is real time and enriched by machine learning. How can we overcome socio-technical blockers and unite the ML and data streaming markets?

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AWS Lambdas – Python vs Rust. Performance and Cost Savings.

Confessions of a Data Guy

Save money, save money!! Hear Hear! Someone on Linkedin recently brought up the point that companies could save gobs of money by swapping out AWS Python lambdas for Rust ones. While it raised the ire of many a Python Data Engineer, I thought it sounded like a great idea. At least it’s an excuse to […] The post AWS Lambdas – Python vs Rust.

AWS 356

More Trending

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Drag, Drop, Analyze: The Rise of No-Code Data Science

KDnuggets

No-code or low-code functionalities in data science have gained significant traction in recent years. These solutions are well-proven and matured, and they make data science more accessible to a wider range of people.

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Ensuring the Successful Launch of Ads on Netflix

Netflix Tech

By Jose Fernandez , Ed Barker , Hank Jacobs Introduction In November 2022, we introduced a brand new tier —  Basic with ads. This tier extended existing infrastructure by adding new backend components and a new remote call to our ads partner on the playback path. As we were gearing up for launch, we wanted to ensure it would go as smoothly as possible.

Algorithm 136
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AMM Performance Testing Report

Ripple Engineering

Overview In the rippled 1.12.0 release, the AMM amendment stands out as a significant feature in both size and scope. Since September 2022, the RippleX performance team has collaborated closely with the engineering team responsible for the AMM feature implementation. This report presents a thorough overview of our testing approach, findings, and key takeaways.

AWS 144
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A Tech Conference Listed Fake Speakers for Years: I Accidentally Noticed

The Pragmatic Engineer

For 3 years straight, the DevTernity conference listed non-existent Coinbase employees as featured speakers. When were they added and what could have the motivation been? Three featured speakers listed at DevTernity 2021, 2022 and 2023, and JDKon 2024. These people do not exist. A year ago, I spent months doing an investigative report on how UK events tech company Pollen had its staff work for free, as it had run out of money but still kept operating.

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Leading the Development of Profitable and Sustainable Products

Speaker: Jason Tanner

While growth of software-enabled solutions generates momentum, growth alone is not enough to ensure sustainability. The probability of success dramatically improves with early planning for profitability. A sustainable business model contains a system of interrelated choices made not once but over time. Join this webinar for an iterative approach to ensuring solution, economic and relationship sustainability.

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Azure Databricks: A Comprehensive Guide

Analytics Vidhya

Introduction Azure Databricks is a fast, easy, and collaborative Apache Spark-based analytics platform that is built on top of the Microsoft Azure cloud. A collaborative and interactive workspace allows users to perform big data processing and machine learning tasks easily. In this blog post, we will take a closer look at Azure Databricks, its key features, […] The post Azure Databricks: A Comprehensive Guide appeared first on Analytics Vidhya.

Big Data 310
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How Meta built the infrastructure for Threads

Engineering at Meta

On July 5, 2023, Meta launched Threads, the newest product in our family of apps, to an unprecedented success that saw it garner over 100 million sign ups in its first five days. A small, nimble team of engineers built Threads over the course of only five months of technical work. While the app’s production launch had been under consideration for some time, the business finally made the decision and informed the infrastructure teams to prepare for its launch with only two days’ advance notice.

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Snowflake To Acquire Ponder, Boosting Python Capabilities In the Data Cloud

Snowflake

Python’s popularity has more than doubled in the past decade¹ and it is quickly becoming the preferred language for development across machine learning, application development, pipelines, and more. One of our goals at Snowflake is to ensure we continue to deliver a best-in-class platform for Python developers. Snowflake customers are already harnessing the power of Python through Snowpark , a set of runtimes and libraries that securely deploy and process non-SQL code directly in Snowflake.

Python 141
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The Ultimate Guide to Java Virtual Threads

Rock the JVM

Another tour de force by Riccardo Cardin. Riccardo is a proud alumnus of Rock the JVM, now a senior engineer working on critical systems written in Java, Scala and Kotlin. Version 19 of Java came at the end of 2022, bringing us a lot of exciting stuff. One of the coolest is the preview of some hot topics concerning Project Loom: virtual threads ( JEP 425 ) and structured concurrency ( JEP 428 ).

Java 145
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Navigating the Future: Generative AI, Application Analytics, and Data

Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?

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Confluent + Immerok: Cloud Native Kafka Meets Cloud Native Flink

Confluent

Introducing fully managed Apache Kafka® + Flink for the most robust, cloud-native data streaming platform with stream processing, integration, and streaming analytics in one.

Kafka 145
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A Tour Around Buck2, Meta's New Build System

Tweag

Meta recently announced they have made Buck2 open-source. Buck2 is a from-scratch rewrite of Buck , a polyglot, monorepo build system that was developed and used at Meta (Facebook), and shares a few similarities with Bazel. As you may know, the Scalable Builds Group at Tweag has a strong interest in such scalable build systems. We were thrilled to have the opportunity to work with Meta on Buck2 to help make the tool useful and successful in the open-source use case.

Systems 138
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Free Dolly: Introducing the World's First Truly Open Instruction-Tuned LLM

databricks

Two weeks ago, we released Dolly, a large language model (LLM) trained for less than $30 to exhibit ChatGPT-like human interactivity (aka instruction-following).

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A Comprehensive Guide to Convolutional Neural Networks

KDnuggets

Artificial Intelligence has been witnessing monumental growth in bridging the gap between the capabilities of humans and machines. Researchers and enthusiasts alike, work on numerous aspects of the field to make amazing things happen. One of many such areas is the domain of Computer Vision.

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Get Better Network Graphs & Save Analysts Time

Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

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Migrating Critical Traffic At Scale with No Downtime?—?Part 1

Netflix Tech

Migrating Critical Traffic At Scale with No Downtime — Part 1 Shyam Gala , Javier Fernandez-Ivern , Anup Rokkam Pratap , Devang Shah Hundreds of millions of customers tune into Netflix every day, expecting an uninterrupted and immersive streaming experience. Behind the scenes, a myriad of systems and services are involved in orchestrating the product experience.

Utilities 135
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New Approaches For Detecting AI-Generated Profile Photos

LinkedIn Engineering

Co-authors: Shivansh Mundra , Gonzalo Aniano Porcile , Smit Marvaniya , Hany Farid A core part of what we do on the Trust Data Team at LinkedIn is create, deploy, and maintain models that detect and prevent many types of abuse. This spans the detection and prevention of fake accounts, account takeovers, and policy-violating content. We are constantly working to improve and increase the effectiveness of our anti-abuse defenses to protect the experiences of our members and customers.

Media 132
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Datadog’s $65M/year customer mystery solved

The Pragmatic Engineer

The internet has been speculating the past few days on which crypto company spent $65M on Datadog in 2022. I confirmed it was Coinbase, and here are the details of what happened. Originally published on 11 May 2023. 👋 Hi, this is Gergely with a bonus, free issue of the Pragmatic Engineer Newsletter. We cover one out of six topics in today’s subscriber-only The Scoop issue.

AWS 304
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ChatGPT for Coding: Unleash the Power of ChatGPT

Edureka

We are introduced to new discoveries and technologies every day, and one of the best and most popular inventions today is artificial intelligence (AI) and its tools. One of them is Chat GPT, a conversational model of AI that is a powerful chatbot that answers follow-up questions and writes code for the users. The day it was launched, everybody was going gaga over the new technology and the remarkable uses of this AI-powered chatbot.

Coding 130
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Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

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Threads: The inside story of Meta’s newest social app

Engineering at Meta

Earlier this year, a small team of engineers at Meta started working on an idea for a new app. It would have all the features people expect from a text-based conversations app, but with one very key, distinctive goal – being an app that would allow people to share their content across multiple platforms. We wanted to build a decentralized (or federated) app that would enable people to post content that is viewable by anyone on other social apps, and vice versa.

Media 143
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Make this 3D printed globe please

ArcGIS

It's that time of year to warm ourselves beside the electric hum of a plastic filament printer and fall into the joy of making.

IT 143
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Use Data Enrichment to Supercharge AI

Precisely

AI transforms how we interact with technology, make decisions, and solve complex problems. It has been at the heart of many innovations over the past two years, powering everything from the chatbots that enhance our customer experiences to the predictive analytics engines that help us make financial decisions. What defines a successful AI initiative, and how can your organization ensure that your investments and hard work deliver maximum value for your organization?

Raw Data 121
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GPT-4 + Streaming Data = Real-Time Generative AI

Confluent

ChatGPT and data streaming can work together for any company. Learn a basic framework for using GPT-4 and streaming to build a real-world production application.

Data 145
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Reimagined: Building Products with Generative AI

“Reimagined: Building Products with Generative AI” is an extensive guide for integrating generative AI into product strategy and careers featuring over 150 real-world examples, 30 case studies, and 20+ frameworks, and endorsed by over 20 leading AI and product executives, inventors, entrepreneurs, and researchers.

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Announcing FawltyDeps - a dependency checker for your Python code

Tweag

It is a truth universally acknowledged that the Python packaging ecosystem is in need of a good dependency checker. In the least, it’s our hope to convince you that Tweag’s new dependency checker, FawltyDeps, can help you maintain an environment that is minimal and reproducible for your Python project, by ensuring that required dependencies are explicitly declared and detecting unused dependencies.

Python 138
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Introducing Databricks Vector Search Public Preview

databricks

Following the announcement we made yesterday around Retrieval Augmented Generation (RAG), today, we’re excited to announce the public preview of Databricks Vector Search. W.

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5 Advance Projects for Data Science Portfolio

KDnuggets

Work on data analytics, time series, natural language processing, machine learning, and ChatGPT projects to improve your chance of getting hired.

Portfolio 175
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If software development were a race, AI wins every time by Colin Eberhardt

Scott Logic

An exploration of the quantitative and qualitative impacts of Generative AI on software development. We’ve undertaken multiple experiments to better understand the impact of GenerativeAI tools (ChatGPT, Copilot) on developer productivity. Our quantitative results show a 37% improvement in productivity (speed), however, this result is a misrepresentation of what it means to be productive as a developer.

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How To Get Promoted In Product Management

Speaker: John Mansour

If you're looking to advance your career in product management, there are more options than just climbing the management ladder. Join our upcoming webinar to learn about highly rewarding career paths that don't involve management responsibilities. We'll cover both career tracks and provide tips on how to position yourself for success in the one that's right for you.