Mon.Sep 16, 2024

article thumbnail

How to Perform Data Aggregation Over Time Series Data with Pandas

KDnuggets

Image by Editor | Ideogram Let’s learn how to perform time series data aggregation in Pandas. Preparation We would need the Pandas and Numpy packages installed, so we can install them using the following code: pip install pandas numpy With the packages installed, let’s jump into the article. Time Series.

Data 103
article thumbnail

Run pandas on 1TB+ Enterprise Data Directly in Snowflake

Snowflake

As one of the most widely used libraries in the Python ecosystem, pandas helps developers analyze, load and transform data across data science, data engineering and machine learning. The flexibility and ease of use of the pandas API have driven rapid growth in popularity, with pandas being used by one in every five developers , according to the StackOverflow 2024 Developer Survey.

Python 82
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

5 YouTube Channels to Master LLMs

KDnuggets

Image by Author If you’re in the tech industry (or are attempting to transition into the field), LLMs are a must-learn. Companies have started integrating language models into their workflows to improve efficiencies and cut costs. Due to this, there have been a number of new AI job openings. New roles have begun to.

101
101
article thumbnail

Real-Time Insurance Claims Processing With Confluent

Confluent

Learn how companies are using Confluent to implement stream processing architectures that accelerate insurance claim validation, assessment, and settlement.

article thumbnail

Building Your BI Strategy: How to Choose a Solution That Scales and Delivers

Speaker: Evelyn Chou

Choosing the right business intelligence (BI) platform can feel like navigating a maze of features, promises, and technical jargon. With so many options available, how can you ensure you’re making the right decision for your organization’s unique needs? 🤔 This webinar brings together expert insights to break down the complexities of BI solution vetting.

article thumbnail

Crack the Code: Mastering Category Encoders for Data Scientists

KDnuggets

Image by Author | Canva In data science, handling different types of data is a daily challenge. One of the most common data types is categorical data, which represents attributes or labels such as colors, gender, or types of vehicles. These characteristics or names can be divided into distinct groups or categories, facilitating classification.

Coding 72
article thumbnail

Top Scrum Master Certification: Definitve Guide 2024

Knowledge Hut

What is a Scrum Master? The Scrum Master in a Scrum team is responsible for managing the process, while at the same time ensuring that the team is observing the Scrum theory, rules, and practices. They are not a part of the decision-making process, but they act as a guide for the team, thanks to their experience and expertise. They also help in simplifying complex projects.

More Trending

article thumbnail

Ensuring Even Ad Spend on the Zalando Homepage: How Our New Bidding Algorithm Maximizes Value for Advertisers and Shoppers

Zalando Engineering

Introduction Zalando Marketing Services (ZMS) is Zalando's advertising platform. It helps brands create and manage campaigns on Zalando, increasing their visibility and improving performance at every stage of the marketing funnel, from awareness to purchase, within the Zalando marketplace. At ZMS, we're constantly innovating to optimize the advertising experience on Zalando homepage.

article thumbnail

Tabnine vs. GitHub Copilot: A Comprehensive Comparison

Edureka

Introduction Artificial intelligence coding assistants are widely popular in software development because developers constantly look for ways to increase their productivity. github copilot vs tabnine are among the biggest names in this field. While both tools feature flexibility to ease the coding process, their nature has some features that make them unique.

article thumbnail

Data Flows: Designing Strategies for Seamless Integration

Ascend.io

How to Design a Data Flow in 6 Steps: 1. Engage Key Stakeholders 2. Identify Data Sources 3. Define Data Requirements 4. Implement Data Flow Diagrams (DFDs) 5. Build & Optimize Data Pipelines 6. Incorporate Feedback Loops Data flows are the unsung heroes of the digital age, overseeing the seamless movement of information across systems and platforms.

article thumbnail

What Is DNS Hijacking? – Complete Guide

Edureka

Privacy is very important in today’s technologically advanced society. Let’s look at the example of a popular type of cyber threat, which is it. To answer these questions, let this blog explain to you what DNS hijacking is first. As this blog explains its for dummies and sets realistic measures, you will be equipped with ample knowledge in securing their network.

Banking 40
article thumbnail

Driving Responsible Innovation: How to Navigate AI Governance & Data Privacy

Speaker: Aindra Misra, Senior Manager, Product Management (Data, ML, and Cloud Infrastructure) at BILL

Join us for an insightful webinar that explores the critical intersection of data privacy and AI governance. In today’s rapidly evolving tech landscape, building robust governance frameworks is essential to fostering innovation while staying compliant with regulations. Our expert speaker, Aindra Misra, will guide you through best practices for ensuring data protection while leveraging AI capabilities.

article thumbnail

5 Key Benefits of Data Democratization: How Self-Service Data Can Improve Your Business

Precisely

Key Takeaways: Data democratization is a process that gives virtually anyone in your organization the ability to understand data for better decision-making. Data democratization has immense benefits, like a 360° customer view, enhanced innovation, and streamlined internal processes. To fully take advantage of these benefits, you also need to keep compliance, security, and potential data misuse in mind.

article thumbnail

What is Cryptanalysis? A complete Guide

Edureka

Cryptanalysis is the art of solving the code without knowing the actual key that is used in the encryption of information. Cryptology’s cryptanalysts work like detectives, studying patterns and, by identifying gaps in encryption strategies when it comes to digitization, assuring the sufficiency of the encryption or leveraging the openings. This field is instrumental to cybersecurity since it aims at maintaining or disputing data integrity in a number of industries.