This hands-on course provides Python developers with a broad introduction to the open source Anaconda platform. The core Anaconda tools are covered in detail helping attendees master multiple environments and projects, become familiar with the conda package management system and gain experience adding, removing and updating packages and environments.
Training also provides attendees with an introduction to some of the most popular and useful libraries in the Anaconda toolkit, including scientific computing standards: NumPy, SciPy, pandas, and Jupyter. Upon completion, programmers will be prepared to begin immediately taking advantage of Anaconda and its vast ecosystem of tools and libraries.
Delivery
Available for Instructor-Led (ILT) in-person/onsite training or Virtual Instructor-Led training (VILT) delivery; Open Enrollment options may be available.
Who Should Attend
Developers, Information Technology (IT) and Quality Assurance (QA) Staff, Technical Managers, DevOps and Build personnel
What Attendees will learn
This course is designed to provide python developers with a comprehensive introduction to the open source Anaconda analytics platform. Learning modules include:
- In-depth Anaconda overview
- Python plotting with MatplotLib and NumPy
- Computing with SciPy
- Data analysis and manipulation with pandas
- Combine code, math, plots and rich media with Jupyter Notebooks
Prerequisites
Students should have basic sys-admin capabilities. Each attendee must provide their own laptop with the ability to run a 64 bit virtual machine. A 64 bit Ubuntu VM is provided with the course.