Thu.Jun 19, 2025

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10 Must-Know Python Libraries for MLOps in 2025

Machine Learning Mastery

MLOps, or machine learning operations, is all about managing the end-to-end process of building, training, deploying, and maintaining machine learning models.

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Data processing

Dataconomy

Data processing is at the heart of transforming raw numbers into actionable insights that drive decisions across various sectors. In our data-driven world, understanding how vast amounts of information flow through systems enables organizations to harness the right data effectively. What is data processing? Data processing is a systematic approach to converting raw data into meaningful information.

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Go vs. Python for Modern Data Workflows: Need Help Deciding?

KDnuggets

Blog Top Posts About Topics AI Career Advice Computer Vision Data Engineering Data Science Language Models Machine Learning MLOps NLP Programming Python SQL Datasets Events Resources Cheat Sheets Recommendations Tech Briefs Advertise Join Newsletter Go vs. Python for Modern Data Workflows: Need Help Deciding? Need both performance and flexibility in your data workflows?

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Top Insights from ODSC East 2025: 10 Slide Decks Every Data Scientist Should See

ODSC - Open Data Science

ODSC East 2025 delivered again, packed with cutting-edge discussions, forward-looking use cases, and some of the most insightful minds in AI and data science. While there were dozens of sessions worth watching, we’ve curated a list of ten standout presentations, based on attendee feedback and session ratings. These slides — still publicly available — offer a snapshot of today’s rapidly evolving data landscape, from lightweight LLMs to production-grade agentic applications.

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Precision in Motion: Why Process Optimization Is the Future of Manufacturing

Speaker: Jason Chester, Director, Product Management

In today’s manufacturing landscape, staying competitive means moving beyond reactive quality checks and toward real-time, data-driven process control. But what does true manufacturing process optimization look like—and why is it more urgent now than ever? Join Jason Chester in this new, thought-provoking session on how modern manufacturers are rethinking quality operations from the ground up.

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Forget Streamlit: Create an Interactive Data Science Dashboard in Excel in Minutes

KDnuggets

Blog Top Posts About Topics AI Career Advice Computer Vision Data Engineering Data Science Language Models Machine Learning MLOps NLP Programming Python SQL Datasets Events Resources Cheat Sheets Recommendations Tech Briefs Advertise Join Newsletter Forget Streamlit: Create an Interactive Data Science Dashboard in Excel in Minutes In this tutorial, we will show how to create an interactive data science dashboard in Excel in minutes without Streamlit.

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Data architect

Dataconomy

Data architects play a pivotal role in today’s data-driven businesses, shaping the data landscape and ensuring that organizations can effectively manage and utilize their data resources. As the demand for data professionals continues to grow, understanding the unique functions and responsibilities of data architects becomes crucial for both aspiring individuals and organizations looking to enhance their data capabilities.

More Trending

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Data mesh

Dataconomy

Data Mesh is revolutionizing how organizations handle their data, shifting from traditional centralized systems to a more decentralized approach. This innovative framework allows teams to treat data as a product, enhancing accessibility and governance while promoting collaboration across departments. What is data mesh? Data mesh is a decentralized data management architecture that focuses on distributing data ownership across different organizational domains.

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A Gentle Introduction to Multi-Head Attention and Grouped-Query Attention

Machine Learning Mastery

This post is divided into three parts; they are: • Why Attention is Needed • The Attention Operation • Multi-Head Attention (MHA) • Grouped-Query Attention (GQA) and Multi-Query Attention (MQA) Traditional neural networks struggle with long-range dependencies in sequences.

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Dimensions in data warehousing

Dataconomy

Dimensions in data warehousing play a critical role in transforming raw data into meaningful insights. By organizing data into manageable structures, these dimensions provide context and enable businesses to analyze their operations effectively. Understanding dimensions allows for better querying, reporting, and decision-making, making them an essential aspect of any data warehouse design.

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Trust ’25 Recap: The Latest in AI, Modernization, and Location Intelligence

Precisely

There’s a special kind of energy that comes from bringing data leaders together with a shared goal: unlocking more value from their data. At Trust ’25, our virtual Data Integrity Summit, that energy was palpable. Data and analytics professionals from around the world joined us to explore what’s next for trusted data – and how to achieve it. This year, we focused on one powerful idea: when you show your data some love , it returns the favor – with sharper insights, stronger performance, and more

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Airflow Best Practices for ETL/ELT Pipelines

Speaker: Kenten Danas, Senior Manager, Developer Relations

ETL and ELT are some of the most common data engineering use cases, but can come with challenges like scaling, connectivity to other systems, and dynamically adapting to changing data sources. Airflow is specifically designed for moving and transforming data in ETL/ELT pipelines, and new features in Airflow 3.0 like assets, backfills, and event-driven scheduling make orchestrating ETL/ELT pipelines easier than ever!

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Actionable intelligence

Dataconomy

Actionable intelligence is a powerful concept that transforms raw data into decisions that drive immediate action. In today’s fast-paced environment, businesses and organizations need to move beyond traditional analytics and embrace insights that can affect change in real-time. This new wave of intelligence, characterized by its applicability and speed, plays a crucial role in various sectors, enhancing decision-making and operational efficiency.

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Jump-starting data infrastructure and in-house data expertise

DrivenData Labs

The organization ¶ CodePath is a national nonprofit dedicated to transforming computer science education for first-generation and low-income students. By offering no-cost technical courses, career support, and a robust community network, CodePath equips college students with the skills and experience necessary to launch thriving careers in tech.

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Could This Tech Finally Solve AI's Planet-Polluting Problem?

Flipboard

Tech Smartphones Computers & Tablets Wearables Accessories & Peripherals Components Drones Cameras Events Cars Electric Vehicles Autonomous Driving Concept Cars Car Accessories Motorcycles Trucks SUVs & Crossovers Classic Cars Entertainment TVs Audio Streaming Devices Internet Gaming Military Aviation Naval Vehicles Science Space Artificial Intelligence Tools Hand Tools Power Tools Tool Brands Reviews Mobile Reviews Computing Reviews Automotive Reviews Home Entertainment Reviews Drone Reviews Ca

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7 Key Highlights from Geoffrey Hinton on Superintelligent AI

Analytics Vidhya

If the Godfather of AI, tells you to “train to be a plumber” you know that you got to pay attention, atleast thats what got me hooked. In a recent conversation, Geoffrey Hinton discussed the various possibilities in the upcoming era of superintelligent AI and if you are wondering how did this conversation go about, […] The post 7 Key Highlights from Geoffrey Hinton on Superintelligent AI appeared first on Analytics Vidhya.

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Whats New in Apache Airflow 3.0 –– And How Will It Reshape Your Data Workflows?

Apache Airflow® 3.0, the most anticipated Airflow release yet, officially launched this April. As the de facto standard for data orchestration, Airflow is trusted by over 77,000 organizations to power everything from advanced analytics to production AI and MLOps. With the 3.0 release, the top-requested features from the community were delivered, including a revamped UI for easier navigation, stronger security, and greater flexibility to run tasks anywhere at any time.

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Effective workflow from multimodal MRI data to model-based prediction

Flipboard

Predicting human behavior from neuroimaging data remains a complex challenge in neuroscience. To address this, we propose a systematic and multi-faceted framework that incorporates a model-based workflow using dynamical brain models. This approach utilizes multi-modal MRI data for brain modeling and applies the optimized modeling outcome to machine learning.

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Wix acquires AI coding startup Base44 for $80M

Dataconomy

Israeli developer Maor Shlomo sold his six-month-old vibe-coding startup, Base44, to Wix for $80 million in cash, Wix announced Wednesday. Base44, which was bootstrapped, experienced rapid growth before the acquisition. While not a “solo unicorn,” as Base44 had eight employees, the sale has generated discussion regarding the potential for highly productive individuals to create valuable companies using AI.

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Community Spotlight: Paola Ruiz, Néstor González, Daniel Crovo

DrivenData Labs

The Community Spotlight celebrates the diversity of expertise, perspectives, and experiences of our community members. In this post we sit down with Paola Ruiz, Néstor González, and Daniel Crovo, members of the IGCPHARMA team that earned prizes in both Phase 1 and Phase 2 of the PREPARE Challenge. Names: Paola Ruiz Puentes, Néstor González, Daniel Andrés Crovo Pérez ¶ Hometown: Bogotá, Colombia ¶ To get started, tell us a little about yourself!

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Benefits of Model Context Protocol, Rethinking AI in Healthcare, and the First Agentic AI Summit…

ODSC - Open Data Science

Benefits of Model Context Protocol, Rethinking AI in Healthcare, and the First Agentic AI Summit Speakers Autonomous Agents Are Here. Are You Ready to Build Them? Join us at the Agentic AI Summit this July 16–31 for hands-on sessions with leaders from CrewAI, LlamaIndex, Google DeepMind & more. 3 Weeks. 100% Practical. Fully Virtual. Register here!

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What’s New in Apache Airflow® 3.0—And How Will It Reshape Your Data Workflows?

Speaker: Tamara Fingerlin, Developer Advocate

Apache Airflow® 3.0, the most anticipated Airflow release yet, officially launched this April. As the de facto standard for data orchestration, Airflow is trusted by over 77,000 organizations to power everything from advanced analytics to production AI and MLOps. With the 3.0 release, the top-requested features from the community were delivered, including a revamped UI for easier navigation, stronger security, and greater flexibility to run tasks anywhere at any time.

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Advanced Mapbox data visualization with graph analysis

Cambridge Intelligence

If you’re already using Mapbox for data visualization but need to reveal the hidden connections and relationships in location-based data, our geospatial visualization SDK could be exactly what you’re missing. While Mapbox excels at traditional mapping and location-based views, it doesn’t offer built-in graph analysis or network visualization capabilities.

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SequenceFile

Dataconomy

SequenceFile is a pivotal component in the Apache Hadoop ecosystem, instrumental in managing and processing large datasets efficiently. Its ability to package data in a format optimized for distribution makes it a valuable asset for data-heavy applications, particularly when utilizing the MapReduce programming model. What is a SequenceFile? A SequenceFile is a binary file type designed for Hadoop, which serves as a container for pairs of keys and values.

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Community Spotlight: Kirill Brodt

DrivenData Labs

The Community Spotlight celebrates the diversity of expertise, perspectives, and experiences of our community members. In this post we sit down with Kirill Brodt, winner of challenges like Youth Mental Health Narratives: Automated Abstraction and BioMassters and a doctoral student in computer graphics at the University of Montreal. Name: Kirill Brodt ¶ Hometown: Almaty, Kazakhstan ¶ To get started, tell us a little about yourself!

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Decision-making process

Dataconomy

The decision-making process is foundational to effectively navigating challenges in both personal and professional contexts. It encompasses a structured approach that helps individuals and organizations analyze situations, explore options, and ultimately choose the most appropriate course of action. Understanding this process can significantly enhance your ability to tackle complex problems and make informed choices.

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A Guide to Debugging Apache Airflow® DAGs

In Airflow, DAGs (your data pipelines) support nearly every use case. As these workflows grow in complexity and scale, efficiently identifying and resolving issues becomes a critical skill for every data engineer. This is a comprehensive guide with best practices and examples to debugging Airflow DAGs. You’ll learn how to: Create a standardized process for debugging to quickly diagnose errors in your DAGs Identify common issues with DAGs, tasks, and connections Distinguish between Airflow-relate

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Amazon CEO Says AI Will Shrink Corporate Workforce as Generative Tools Scale

ODSC - Open Data Science

Amazon CEO Andy Jassy has confirmed that the company’s corporate workforce will likely decline over the next few years as generative AI and intelligent agents automate more internal tasks. In a memo to employees on Tuesday, Jassy emphasized that AI is fundamentally transforming how work is executed within Amazon’s operations. “ As we roll out more Generative AI and agents, it should change the way our work is done, ” Jassy wrote. “ We will need fewer people doing some of the jobs that are being

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AutoHRise: An AI-Powered Hiring Assistant with Agentic AI, Crew AI, and Watsonx AI

IBM Data Science in Practice

Understanding the power of the Agentic AI using Crew AI with the Watsonx AI and Discovery. AutoHRise an AI-powered recruitment agentic assistant, automates the hiring process, reducing time-to-hire and improving candidate experience. The AI agent acts as an intelligent assistant, interacting with recruiters, candidates, and HR systems to streamline hiring.

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Meta Launches AI Superintelligence Lab, Offers Nine-Figure Packages to Lure Top Talent

ODSC - Open Data Science

Meta is intensifying its pursuit of artificial general intelligence with the formation of a new AI superintelligence lab, according to reports from The New York Times and Bloomberg via Axios. As expected, this is being spearheaded personally by CEO Mark Zuckerberg. The Meta AI superintelligence lab initiative includes aggressive recruitment efforts and unprecedented compensation offers, reaching into nine-figure ranges, to secure top-tier AI talent.

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Tree structure in databases

Dataconomy

Tree structures in databases serve as a powerful means to organize and manage data, allowing for efficient retrieval and manipulation. By utilizing a hierarchical layout that resembles a tree, databases can effectively minimize search times and optimize data arrangements. This structure is especially beneficial when dealing with large volumes of data, making it a fundamental concept in database design.

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Agent Tooling: Connecting AI to Your Tools, Systems & Data

Speaker: Alex Salazar, CEO & Co-Founder @ Arcade | Nate Barbettini, Founding Engineer @ Arcade | Tony Karrer, Founder & CTO @ Aggregage

There’s a lot of noise surrounding the ability of AI agents to connect to your tools, systems and data. But building an AI application into a reliable, secure workflow agent isn’t as simple as plugging in an API. As an engineering leader, it can be challenging to make sense of this evolving landscape, but agent tooling provides such high value that it’s critical we figure out how to move forward.

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OpenAI Taps Google Cloud in Surprise Deal to Meet AI Compute Demands

ODSC - Open Data Science

In a surprising move, OpenAI has signed an agreement with Alphabet’s Google Cloud to expand its computing capacity, three sources told Reuters. The OpenAI Google Cloud deal, finalized in May, underscores the growing demand for infrastructure necessary to train and deploy advanced AI systems. While OpenAI continues to rely on Microsoft’s Azure for the bulk of its infrastructure, this new partnership reflects a broader strategy to diversify compute sources.

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Leveraging viral genome sequences and machine learning models for identification of potentially selective antiviral agents

Flipboard

Viral genome sequencing provides valuable information for antiviral development, yet its integration with machine learning for virtual screening remains underexplored. To bridge this gap, viral genome sequences were combined with structural data of approved and investigational antivirals to identify virus-selective agents. In parallel, quantitative structure-activity relationship (QSAR) models were built to predict pan-antivirals.

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Sam Altman Says Meta Offered OpenAI Staff $100M Bonuses Amid AI Talent War

ODSC - Open Data Science

It seems that Meta has intensified its efforts to poach top AI talent from OpenAI, offering signing bonuses as high as $100 million, OpenAI CEO Sam Altman said in a recent interview. Speaking on the Uncapped podcast hosted by his brother, Altman claimed Meta has been targeting his team with massive compensation packages in an attempt to bolster its AI division. “ They’ve offered a lot of people $100 million bonuses, ” Altman said. “ So far none of our best people have decided to take them up on

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Neural network-based image analysis of co-localized microorganisms and human cells on implant materials

Flipboard

Dental implant-associated infections increase the risk of implant failure, presenting significant challenges in modern dentistry. The host-microbe interaction plays a crucial role in the development of implant-associated infections. To gain a deeper understanding of the underlying mechanisms, numerous studies have been conducted using in vitro co-culture models of bacteria and human cells or in situ samples.

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How to Modernize Manufacturing Without Losing Control

Speaker: Andrew Skoog, Founder of MachinistX & President of Hexis Representatives

Manufacturing is evolving, and the right technology can empower—not replace—your workforce. Smart automation and AI-driven software are revolutionizing decision-making, optimizing processes, and improving efficiency. But how do you implement these tools with confidence and ensure they complement human expertise rather than override it? Join industry expert Andrew Skoog as he explores how manufacturers can leverage automation to enhance operations, streamline workflows, and make smarter, data-dri