Lilly Tech Systems
Learn Anaconda
Master the most popular Python and R distribution for data science. Learn to manage environments, install packages, use Anaconda Navigator, and build reproducible workflows — all for free.
What You'll Learn
By the end of this course, you'll be confident managing Python environments and packages with Anaconda.
Package Management
Install, update, and manage 250+ pre-installed data science packages with the conda package manager.
Environments
Create isolated Python environments for different projects, avoiding dependency conflicts and version issues.
Navigator GUI
Use Anaconda Navigator's graphical interface to manage environments, packages, and launch applications.
Reproducibility
Export and share environment configurations with environment.yml for perfectly reproducible setups.
Course Lessons
Follow the lessons in order or jump to any topic you need.
1. Introduction
What is Anaconda? Python/R distribution for data science, Anaconda vs Miniconda vs pip comparison.
2. Installation
Download and install Anaconda on Windows, macOS, and Linux. PATH configuration and verification.
3. Navigator
Use Anaconda Navigator GUI to launch applications, manage environments, and install packages visually.
4. Environments
Create, activate, clone, export, and import virtual environments. Python version management per project.
5. Packages
Install, update, and remove packages with conda. Conda-forge channel, conda vs pip, conflict resolution.
6. Best Practices
Environment strategy, storage management, team workflows, reproducibility, and troubleshooting.
Prerequisites
What you need before starting this course.
- A computer running Windows, macOS, or Linux
- Admin/sudo access for installation
- ~3 GB of free disk space for the full Anaconda distribution
- Basic command line familiarity (helpful but not required)