{"title":"Featured","description":"","products":[{"product_id":"dd-20260727-pyfn-nm","title":"07\/27-07\/30 Python Foundations for Scientists and Engineers [in-person, Los Alamos], July 27-30, 2026","description":"\u003cp\u003e\u003cb\u003eClass Code: DD-20260727-PYFN-NM\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cb\u003e[LANL Invoicing Eligible]\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003eIn this course you'll learn the fundamentals of Python for use in Science and Engineering disciplines.  We'll build a firm foundation of understanding of the syntax and structure of the Python language, then build on that to give you the tools for fast, efficient computation in NumPy.  Along the way, we'll have an engineer-friendly introduction to Object-Oriented Programming in Python.  On the last day, we'll have a brief introduction to Pandas, a popular library for data analysis that builds everything we've learned about Python and NumPy.\u003c\/p\u003e\n\u003cp\u003eWith lots of live demos, instructor interaction, and plenty of exercises to walk through, everyone can benefit, from Python novices to veteran programmers.  Some prior exposure to programming is recommended.\u003c\/p\u003e\n\u003cp\u003eCourse material taught under license from \u003ca href=\"https:\/\/www.enthought.com\"\u003eEnthought, Inc\u003c\/a\u003e.\u003c\/p\u003e\n\u003cp\u003e\u003ca href=\"https:\/\/dillerdigital.com\/pages\/course-descriptions#PYFN\"\u003eFull description here.\u003c\/a\u003e\u003c\/p\u003e\n\u003cp\u003eTaught over 4 days, July 27-30, 2026 from 9:00-16:00PM Mountain Time with an hour break for lunch.\u003c\/p\u003e\n\u003cp\u003eIn-Person, Los Alamos, NM\u003c\/p\u003e\n\u003cp\u003eSee \u003ca href=\"https:\/\/public.dillerdigital.com\/files\/DDLLC_Virtual_Training_Services_Terms\u0026amp;Conditions.pdf\"\u003eTerms of Service\u003c\/a\u003e for details.\u003c\/p\u003e","brand":"Diller Digital, LLC - Training","offers":[{"title":"Default Title","offer_id":50563175186678,"sku":"DD-20260727-PYFN-NM","price":1750.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0672\/0566\/0918\/files\/PYFN_d_430_7a92056b-2606-40f2-a95e-deb2338d9178.png?v=1759336586"},{"product_id":"dd-20260817-anlz-nm","title":"08\/17-08\/20 Data Analysis with Pandas for Scientists and Engineers [in-person, Los Alamos], August 17-20, 2026","description":"\u003cp\u003e\u003cb\u003eClass Code: DD-20260622-ANLZ-NM\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cb\u003e[LANL Invoicing Eligible]\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003eIn this course you'll learn data analysis in Python aimed at Research and Development workflows.  In the first half of the class, we'll do a breadth-first survey of tools and methods for data analysis, including NumPy, Pandas, XArray, Awkward Array, and others.  In the second half of the class, we do a deep dive into the ever-popular Pandas.\u003c\/p\u003e\n\u003cp\u003eWith lots of live demos, instructor interaction, and plenty of exercises to walk through, you can expect to come away with a good grasp of the complete R\u0026amp;D data analysis workflow from reading data to producing reports.  Pre-requisite: \u003cem\u003ePython Foundations for Scientists \u0026amp; Engineers\u003c\/em\u003e or equivalent.\u003c\/p\u003e\n\u003cp\u003eCourse material taught under license from \u003ca href=\"https:\/\/www.enthought.com\"\u003eEnthought, Inc\u003c\/a\u003e.\u003c\/p\u003e\n\u003cp\u003e\u003ca href=\"https:\/\/dillerdigital.com\/pages\/course-descriptions#ANLZ\"\u003eFull description here.\u003c\/a\u003e\u003c\/p\u003e\n\u003cp\u003eTaught over 4 days, June 22-25, 2026 from 9:00-16:00PM Mountain Time with an hour break for lunch.\u003c\/p\u003e\n\u003cp\u003eIn-Person, Los Alamos, NM\u003c\/p\u003e\n\u003cp\u003eSee \u003ca href=\"https:\/\/public.dillerdigital.com\/files\/DDLLC_Virtual_Training_Services_Terms\u0026amp;Conditions.pdf\"\u003eTerms of Service\u003c\/a\u003e for details.\u003c\/p\u003e","brand":"Diller Digital, LLC - Training","offers":[{"title":"Default Title","offer_id":50563175252214,"sku":"DD-20260817-ANLZ-NM","price":1950.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0672\/0566\/0918\/files\/ANLZ_d_430_d500efe3-e564-46b0-8de8-9930bea5f1aa.png?v=1759336791"},{"product_id":"dd-20260914-seai-nm","title":"09\/14-09\/17 Software Engineering in the Age of AI [in-person, Los Alamos], September 14-17, 2026","description":"\u003cp\u003e\u003cb\u003eClass Code: DD-20260914-SEAI-NM\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cb\u003e[LANL Invoicing Eligible]\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003e\u003ci\u003eSoftware Engineering in the Age of AI\u003c\/i\u003e is designed for scientists and engineers working in environments where LLM-assisted and agentic coding workflows are increasingly common.  This course teaches Software Engineering as the discipline that ensure correctness and manages risk when code generation is cheap, but human attention and judgement are not.  Amid claims that coding agents can “one-shot” web applications, how can you maintain the discipline to demonstrate that your code is correct, provide accountability for design decisions and traceability of action, and provide the knowledge necessary (for human or agent) to debug or modify your code under pressure?\u003c\/p\u003e\n\u003cp\u003eIn this course, we will introduce you to modes of developing (human-led, agent-led, and collaborative), and provide you with foundational knowledge and experience to develop software you can have confidence in.  You’ll learn about naming and architectural practices, testing frameworks, logging tools, and the appropriate uses of source control software (git).  Whether you use a coding agent or not, these skills are critical for risk management when human attention and judgement are at a premium.\u003c\/p\u003e\n\u003cp\u003eWith lots of instructor-guided discussion, live demos, and practical exercises to walk through, this is a course to follow up \u003cem\u003ePython Foundations for Scientists \u0026amp; Engineers\u003c\/em\u003e or \u003cem\u003eData Analysis with Pandas\u003c\/em\u003e.  Pre-requisite: This course requires a basic proficiency in Python and the scientific Python stack.  Practical experience with Python and NumPy is necessary as this is not a course in \"vibe coding\".  If you have completed Python Foundations for Scientists \u0026amp; Engineers and at least one other Diller Digital course offering, or the equivalent from other sources, and spent 3 months actively developing in Python, you have the requisite background for this course.\u003c\/p\u003e\n\u003cp\u003e\u003ca href=\"https:\/\/dillerdigital.com\/pages\/course-descriptions#SEAI\"\u003eFull description here.\u003c\/a\u003e\u003c\/p\u003e\n\u003cp\u003eTaught over 4 days, September 14-17, 2026 from 9:00-16:00 Mountain Time, with an hour break for lunch.\u003c\/p\u003e\n\u003cp\u003eIn-person, Los Alamos National Lab, Research Park VisLab, Los Alamos, NM\u003c\/p\u003e\n\u003cp\u003eSee \u003ca href=\"https:\/\/public.dillerdigital.com\/files\/DDLLC_Virtual_Training_Services_Terms\u0026amp;Conditions.pdf\"\u003eTerms of Service\u003c\/a\u003e for details.\u003c\/p\u003e","brand":"Diller Digital, LLC - Training","offers":[{"title":"Default Title","offer_id":51155426345206,"sku":"DD-20260914-SEAI-NM","price":1950.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0672\/0566\/0918\/files\/SEAI-color_276bdea3-2814-4175-b126-7920e1c9a078.png?v=1783013165"}],"url":"https:\/\/dillerdigital.com\/collections\/featured.oembed","provider":"Diller Digital","version":"1.0","type":"link"}