💻 Software & Environment Setup
Data Science & Analytics
The computational toolchain and environment used throughout Quantum Computing in Protein Design.
Quantum computing protein design courseQuantum computing protein design online trainingBest quantum computing protein design certificationQuantum computing protein design for researchersQuantum computing protein design hands-on workshopLearn quantum computing protein design
# Recommended conda environmentconda create -n dstc_env python=3.11 -yconda activate dstc_envpip install numpy pandas scikit-learn matplotlib seabornPython 3.11 + Jupyter
Interactive analysis notebooks
Interactive analysis notebooks
pandas / NumPy
Data wrangling & numerics
Data wrangling & numerics
scikit-learn
Modelling & evaluation
Modelling & evaluation
Plotly / Seaborn
Statistical visualisation
Statistical visualisation
Supported OS: Linux (Ubuntu 22.04+), macOS, or Windows via WSL2.
Hardware: 16 GB RAM minimum; a CUDA GPU helps for deep-learning modules.
Earn government-registered certification in Quantum Computing in Protein Design
e-Certificate and e-Marksheet issued on successful completion.
