Python for Biological Data Analysis Training with Biopython

⏳ Hurry up! Registration closing soon. 🐍🧬 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: 20 April – 01 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: 18 April 2026 🔗 Register here: https://lnkd.in/gtMATuqw #PythonForBiology #Biopython #BioinformaticsTraining #LifeScienceStudents #ComputationalBiology #Training #EvoLearn

⏳ Hurry up! Registration closing soon. 🐍🧬 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: 20 April – 01 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: 18 April 2026 🔗 Register here: https://lnkd.in/gtMATuqw #PythonForBiology #Biopython #BioinformaticsTraining #LifeScienceStudents #ComputationalBiology #Training #EvoLearn

🐍🧬 Learn Python for Biological Data Analysis — Training 2026 EvoLearn Pvt. Ltd. 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: 20 April – 01 May 2026 🕗 Time: 8:00 – 9:00 PM IST (Mon–Fri) 💻 Mode: Live Online Sessions 👩🏫 Instructor: Dr. Nadia (PhD Bioinformatics, Director – EvoLearn Pvt. Ltd.) 📜 Certificate provided after completion 📚 Training materials + recordings included 🧑💻 Hands-on practical sessions included 📌 Registration closes: 18 April 2026 🔗 Register here: https://lnkd.in/gKJCx2WU #PythonForBiology #Biopython #BioinformaticsTraining #LifeScienceStudents #ComputationalBiology #Training #EvoLearn

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

The Oliveira Lab is hosting the Python for Bioengineers Workshop 2.0 as part of Oliveira Outreach and now in its second year. This one-day, hybrid workshop introduces participants to applying Python to biological data through hands-on sessions. No prior programming experience is required. Open to all, with a focus on undergraduate researchers in biomedical and related fields. Highlights: • Intro to Python in biological research • Hands-on coding with biological data • Guest speaker Dr. Tianqi Song • Talks from Oliveira Lab researchers • Networking with Dr. Samuel Oliveira and the lab • Exposure to research at the Joint School of Nanoscience & Nanoengineering (JSNN) 📅 April 11, 2026 🌐 Hybrid format (virtual + limited in-person) 📍 Joint School of Nanoscience and Nanoengineering , Greensboro, NC 🔗 Register: https://lnkd.in/eQDQVe-t Lunch provided for in-person attendees. Spots are limited. Read more about the workshop: https://lnkd.in/eNxryWQb #Python #Bioengineering #STEM #Workshops

Excited to share my latest project: DNA Sequence Analyzer. I recently built a Python-based DNA Sequence Analyzer that processes genetic sequences and performs analysis to extract meaningful biological information. This project helped me strengthen my skills in: Python programming Data processing and string manipulation Problem-solving in bioinformatics Working with real-world biological data I’m currently exploring more ways to apply programming in biology and data science, and I’m open to learning opportunities and collaborations. 🔗 Check it out here:https://lnkd.in/dbTQkBTu I’d appreciate feedback and suggestions! #Python #Bioinformatics #DataScience #MachineLearning #Programming #Projects