Oliveira Lab's Python for Bioengineers Workshop 2.0

Yesterday, I attended another valuable technical session presented by Calcul Québec, this time on working with Python on supercomputers, led by Hélène Gingras. The session covered practical topics for large-scale and reproducible computing, including loading modules, finding and installing Python packages, creating and activating virtual environments, installing packages from GitHub, creating a requirements file, launching Python jobs, monitoring tasks through the Métrix portal, working in interactive sessions, and using JupyterLab. As someone building a career in bioinformatics, I find this kind of training especially valuable. Working with Python in HPC environments is an important skill for building workflows that are more scalable, organized, and reproducible when dealing with larger datasets. Sessions like this are a great way to keep developing the technical foundations behind modern computational biology and data-intensive research. Thank you to Calcul Québec for this helpful session! #Bioinformatics #ComputationalBiology #Python #HPC #ResearchComputing #DataAnalysis

A high school student that I tutor asked me a while ago if one can learn #physics by #programming in #Python. I answered: “Of course!” Since then, I’ve had all kinds of ideas about how to introduce computational physics and numerical methods to advanced high-school or early-level university students. This is the first post in a (long-term) series focusing on numerical methods and computational physics. https://lnkd.in/d5gDAieW

This post discusses the convergence of lifespan, immortality, and aging through innovative research utilizing Python programming. Recent studies illustrate how computational models can elucidate the complexities associated with aging and provide insights into mechanisms that could potentially extend lifespan. By employing Python for data analysis and simulation, researchers are enhancing their understanding of the biological processes underlying aging and exploring prospective interventions. This field represents an intriguing intersection of technology and biology, challenging conventional notions of life and longevity. Read more: https://lnkd.in/ewEx5rpr #LifespanResearch #AgingScience #ComputationalBiology #PythonInResearch #LongevityStudies

The eternal struggle of the Computational Chemist... 💻🧪 🐍 The Python Coder: "I finished the script in 5 minutes! ...now I just have to wait 3 days for the simulation to finish running." 🐢 The Fortran Coder: "The simulation finished in 5 seconds! ...after I spent 3 days fixing segmentation faults and compilation errors." As a Master’s student in Theoretical Chemistry and Computational Modeling at IFF-CSIC, I’ve learned that research isn't about choosing one language—it’s about having the right tool for the job. It’s not a transition; it’s an expansion. I’ve just updated my GitHub with a series of repositories dedicated to the essential building blocks for both Fortran and Python. These are the basic but vital scripts needed before diving into complex molecular dynamics or electronic structure calculations: 🔹 Fortran: For when raw computational power and execution speed are non-negotiable. 🔹 Python: For seamless file parsing, automating molar mass calculations, and managing scientific data with NumPy and Pandas. You can check out my updated repositories here: 👇 [https://lnkd.in/eEWCR9Nn Always looking to connect with fellow researchers and devs passionate about the intersection of science and code! #ComputationalChemistry #TheoreticalChemistry #Python #Fortran #Research #Coding #ScienceTech #GitHub

The exploration of aging is increasingly accessible, particularly through the utilization of Python. Researchers are employing advanced algorithms and data analysis techniques to uncover the complexities associated with lifespan and the potential pursuit of immortality. By leveraging the capabilities of Python, we can effectively model aging processes, analyze extensive biological datasets, and investigate interventions that may ultimately extend human longevity. This endeavor not only enhances our comprehension of the science of aging but also paves the way for novel pathways in biomedical research. Read more at https://lnkd.in/ea98rhXj. #AgingResearch #Python #DataAnalysis #BiomedicalResearch #Longevity

📌 Boost your bioinformatics career today by mastering Python, Git, and reproducible pipelines for seamless research workflows. These three practices accelerate project timelines, increase publication quality, and improve research efficiency, delivering measurable career growth and broader scientific impact. ✓ 🐍 Enroll in Google's free Python Class, complete exercises, and write a script that parses a FASTA file. ✓ 🐙 Create a GitHub repository for your scripts, commit after each analysis, and use issue labels to track tasks. ✓ 🛠️ Develop a reusable Snakemake pipeline, publish on GitHub, and archive the version on Zenodo for citation. 🟢 Which of these steps will you adopt first in your research workflow? #Bioinformatics #Python #Git #Reproducibility #Science

📌 Boost your bioinformatics career today by mastering Python, Git, and reproducible pipelines for seamless research workflows. These three practices accelerate project timelines, increase publication quality, and improve research efficiency, delivering measurable career growth and broader scientific impact. ✓ 🐍 Enroll in Google's free Python Class, complete exercises, and write a script that parses a FASTA file. ✓ 🐙 Create a GitHub repository for your scripts, commit after each analysis, and use issue labels to track tasks. ✓ 🛠️ Develop a reusable Snakemake pipeline, publish on GitHub, and archive the version on Zenodo for citation. 🟢 Which of these steps will you adopt first in your research workflow? #Bioinformatics #Python #Git #Reproducibility #Science

Exciting news for image analysis enthusiasts! The registration deadline for the hybrid training course on Python has been extended to Friday, April 17. So hurry up and register is you are you interested in learning #python for your #image #analysis needs? Want to understand how #Jupyter notebooks can make your analysis workflows easier for free 😊 ? As part of the Horizon Europe project EVOLVE, Euro-BioImaging is organising a distributed training course to introduce beginners to #BioImage Analysis with Python for Life Scientists. The course will take place June 23rd-25th 2026 and as a distributed course will be held in-person in several locations (Czech Republic, Portugal, Swede, UK) with a joint training program and common lectures and in-person hands-on support. This course is organised by Rafael Camacho Dejay, University of Gothenburg, Todd Fallesen, The Francis Crick Institute, Zuzana Čočková, Charles University, and Gabriel G. Martins, GIMM, with support from the Euro-BioImaging team as part of the EVOLVE project. Registration deadline is April 17th (Limited spots available !). More details on the training program, prerequisites and available funding for travel support can be found in the link below: https://lnkd.in/dGPXGga2 #Python #ImageAnalysis #ImageProcessing #DataScience #Developers #training

🐍🧬 Learn Python for Biological Data Analysis — Training 2026 EvoLearn is excited to launch a 2-Week Online Training Program on Python & Biopython specially designed for students, researchers, and professionals from Life Sciences and Biotechnology backgrounds. This beginner-friendly course will help you build essential programming skills required for modern biological research. 🔬 What you will learn: • Python programming fundamentals • Control structures, loops & functions • File handling for biological datasets • Introduction to Biopython libraries • Sequence retrieval from NCBI, UniProt & PDB • DNA sequence analysis & annotation • Working with biological datasets & visualization 📅 Duration: 11 May – 22 May 2026 🕗 Time: 8:00 – 9:00 PM IST (Mon–Fri) 💻 Mode: Live Online Sessions 👩🏫 Instructor: Dr. Nadia (PhD Bioinformatics, Director – EvoLearn) 📜 Certificate provided after completion 📚 Training materials + recordings included 🧑💻 Hands-on practical sessions included 📌 Registration closes: 10 May 2026 🔗 Register here: https://lnkd.in/gtMATuqw #PythonForBiology #Biopython #BioinformaticsTraining #LifeScienceStudents #ComputationalBiology #Training #EvoLearn