Python — June 2026

Программирование. Основы Python для инженеров

Автор: Никитина Т. П. Год издания: 2023

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45. Science skills in Google Antigravity. The new Science Skills bundle allows researchers to run complex workflows like protein analysis in minutes using specialized Alpha* models and 30+ major scientific databases.

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https://x.com/antigravity/status/2061519617550340492?s=20

https://github.com/google-deepmind/science-skills

🤔 How does a clinical radiologist ACTUALLY use this?

This is NOT a PACS integration or an image-reading AI.

Instead, think of it as your ultimate, hyper-intelligent MDT (Tumor Board) coordinator and diagnostic detective for complex cases. It handles the genetics, pharmacology, and literature so you can focus on the imaging.

📂 WHAT FILES CAN YOU UPLOAD?

- PDFs/Text: Genetic sequencing reports, clinical encounter notes, pathology     reports.   - CSVs/Excel: Patient medication lists, lab results, or your own research datasets.

🗣 REAL-WORLD RADIOLOGY USE CASES & PROMPTS

🚨 Scenario 1: The "Weird Pattern" & Drug Toxicity

You are reading an HRCT and see a crazy pattern of organizing pneumonia or interstitial fibrosis. The patient is on 15 different medications.

- You Upload: A text file or CSV of the patient’s medication list.   - Your Prompt: "I am seeing an unusual pattern of organizing pneumonia on this     patient's HRCT. Here is their medication list. Please use the OpenFDA skill     to query adverse event reports for all these drugs. Tell me which ones have     the highest statistically reported incidence of 'pneumonitis' or     'interstitial lung disease', and summarize the findings."   - How it answers: The AI will write a Python script in the background, query     the OpenFDA database for every drug, analyze the adverse event JSON data,     and output a clean table showing you exactly which drug is the likely     culprit.

🧬 Scenario 2: Pediatric/Neuro/MSK Rare Genetics

You are reading a pediatric whole-body MRI for suspected congenital muscular dystrophy, or a brain MRI for a leukodystrophy. The clinical notes include a newly discovered genetic variant, but you don't know if it matches the imaging phenotype.

- You Upload: The PDF of the geneticist's report.   - Your Prompt: "The report shows a variant at chr21:46126238:G>C in the COL6A2 gene. Use the AlphaGenome and ClinVar skills to analyze this variant. Does it cause a significant functional disruption (like exon skipping)? Summarize if the molecular mechanism correlates with the connective tissue/muscular     dystrophy pattern I am seeing."   - How it answers: It will run an AlphaGenome single-variant analysis. (Fun fact: the AI actually generates real plots showing splice donor disruptions!). It will tell you if the variant is likely benign or pathogenic, helping you suggest genotype-phenotype correlation in your dictation.

📚 Scenario 3: Tumor Board (MDT) Prep & Protocoling

You are presenting a complex oncology case at Tumor Board. The patient is on a brand new targeted therapy, and you need to know if the new liver lesions are metastasis or a known drug effect (pseudoprogression).

- Your Prompt: "Search PubMed and OpenAlex for the latest clinical trials     (2024-2026) regarding MRI response patterns in hepatocellular carcinoma     treated with [Specific Immunotherapy]. Use the fetch tool to download the     abstracts and full PDFs if open-access. Summarize the imaging pitfalls,     specifically looking for rates of pseudoprogression."   - How it answers: The agent will autonomously query PubMed using advanced MeSH     tags, download the relevant papers, read them, and give you a bulleted     summary with proper citations (e.g., [1], [2]) that you can literally     copy-paste into your Tumor Board slides.

▶️ When you ask these questions, Antigravity doesn't just "guess" like ChatGPT usually does. It physically executes the bundled uv Python scripts (like openfda_query.py or search_pubmed.py), pulls the raw scientific data from the servers, reads it, and formats it for you.

▶️For more context regarding these things

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https://youtu.be/QvN6Tu6dHYM?si=qB_Siaakjgq4hh_G

Вниманию кандидатов, зарегистрированных на курс "Python" 2026 - 4 квартал. Мы разослали тестовое задание по почте. Проверьте почту, с которой вы регистрировались на курс, пожалуйста.

Регистрация на курс "Python" открыта до 17 июля 2026. После регистрации на почту прилетит ТЗ, его нужно сделать за 14 дней, пожалуйста, учитывайте сроки выполнения при планировании регистрации.

Вниманию кандидатов, зарегистрированных на курс "Python Backend QA" 2026 - 4 квартал. Мы разослали тестовое задание по почте. Проверьте почту, с которой вы регистрировались на курс, пожалуйста.

Регистрация на курс "Python Backend QA" открыта до 24 июля 2026. После регистрации на почту прилетит ТЗ, его нужно сделать за 7 дней, пожалуйста, учитывайте сроки выполнения при планировании регистрации.

🎤🐍 As submissões de atividades para a Python Nordeste 2026 estão abertas!

Quer compartilhar conhecimento, apresentar um projeto, contar uma experiência ou ensinar algo novo para a comunidade? Estamos recebendo propostas de palestras e tutoriais para compor a programação do evento.

As submissões podem ser enviadas até 23h59 do dia 19 de junho.

🔗 Envie sua proposta: https://talks.python.org.br/pyne2026/cfp

Não importa se esta é sua primeira apresentação ou se você já tem experiência em eventos: queremos ouvir diferentes vozes, perspectivas e histórias da comunidade Python.

Esperamos sua proposta! 💙💛