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Modern Software Development For Today's Systems & Applications
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Leadership Principles | Culture Insights
Our leaders share the principles that guide their leadership decisions. Discover what makes our approach unique and how it can empower you in your leadership journey too!
FactoryBot for Rails testing
In the Ruby community, there's near-unanimous agreement on the importance of testing. Tests act as a safeguard, ensuring that the digital experiences we craft remain consistent, reliable, and of high quality. Many in the Ruby community claim that no code change is complete without tests. They are an integral part of the development workflow. Regular testing ensures that new features, refactors, or bug fixes do not introduce unforeseen issues or regressions.
WebAssembly (WASM): Opportunities for Ruby Developers
Most websites are built with high-level languages like Ruby. Developers can always optimize their code for improved performance. Yet, even with top-notch optimization practices, what if your website still lags? How could WASM help improve the performance (time and speed) of your Ruby apps? Web Assembly is a technology that allows developers to compile code written in languages other than Javascript and run it on the web browser.
How Unravel Enhances Airflow
In today’s data-driven world, there is a huge amount of data flowing into the business. Engineers spend a large part of their time in building pipelines—to collect the data from different sources, process it, and transform it to useful datasets that can be sent to business intelligence applications or machine learning models. Tools like Airflow are used to orchestrate complex data pipelines by programmatically authoring, scheduling, and monitoring the workflow pipelines.
What Causes Flaky Behaviour in Your Tests | Cristiano Cunha | #softwaretesting #flakytest
In this illuminating video, Cristiano Cunha, a seasoned expert in software testing, unravels the mysteries of flaky behavior in your tests. Cristiano explores the various factors that contribute to this unpredictable and often frustrating phenomenon, providing viewers with a comprehensive understanding.
Load Any Source to Any Target | Data
Load any data from any source into any target. This can be done in multiple different ways however Linx allows you to do it in a simple, organised and reliable way. Use Linx to: Load data from a CSV Load data from an Excel file Load data from JSON Load data from XML Load data from any database Load data toa CSV Load data to an Excel file Load data to JSON Load data to XML Load data to any database We answer the following questions: How to create data pipelines? How to load data? How to move data from one target to another?
The Evolution of Search: How Multi-Modal LLMs Transcend Vector Databases
As we venture deeper into the data-driven era, the traditional systems we have employed to store, search, and analyze data are being challenged by revolutionary advancements in Artificial Intelligence. One such groundbreaking development is the notable advent of Large Language Models (LLMs), specifically those with Multi-Mod[a]l abilities (e.g., Image & Audio).
Shifting to Test Automation | AI in Automation Testing | Ritu Chowdhary | #automationtesting
In this insightful video, Ritu Chowdhary delves into the dynamic world of test automation and its evolving landscape. Ritu explores the profound impact of Artificial Intelligence on test automation and discusses emerging trends in automation testing. With a keen eye on the future, Ritu shares her vision of what lies ahead in the realm of test automation, shedding light on its promising prospects. Additionally, she highlights common mistakes made in test automation and offers strategies for avoiding them.
The CHIPS and Science Act's Ongoing Impact
More than a year after the CHIPS and Science Act was signed into law – granting $52 billion in subsidies for chip manufacturers to build fabrication plants in the U.S. – it has had a notable impact on semiconductor jobs, education, and overall outlook. Though the act spurred dramatic and immediate investment in U.S. semiconductor manufacturing, some of the key gains are just starting to be seen.
Build AI/ML and generative AI applications in Python with BigQuery DataFrames
Learn how to perform analytics on BigQuery data using BigQuery DataFrames and its bigframes.pandas and bigframes.ml APIs.