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Python Training for Scientists, Engineers, and Analysts

Enthought's training services are geared toward scientists, engineers, and analysts who would like to learn how to use Python in their specific work environments. Our targeted courses address both the scientific and the programming-related challenges of working in Python. Attendees learn how to maximize their productivity by using the capabilities of Python to solve their complex problems. Equipped with a strong understanding of these tools and methods, attendees complete the course with skills they can apply immediately.

Training to Meet Your Needs

Whether you are an individual developer, part of an enterprise-level development team, or in an academic research group, Enthought has a training solution for you:

Open Courses
Held at various locations throught Europe and the U.S., these courses typically include one of our 3-Day Training Modules with two of our advanced 1-Day Modules.

Custom Courses
Ideal for enterprise clients or academic groups, this training option allows you to specify a schedule that includes the Training Modules that best meet your organizational needs. These events are held either on-site or at our Austin, TX offices.

Webinars
Now it's possible for you to obtain expert instruction without leaving your office. Our Scientific Computing with Python Webinar Series provides free tutorials on open-source Python tools for scientific applications. Additionally, EPD subscribers at a Basic level or above are offered our monthly Enthought Python Distribution Webinar Series.

Access to the Experts

Our instructors are all full-time Enthought developers. They rely on their scientific backgrounds in fields including electrical engineering, geophysics, biomedical imaging, mathematics and chemical engineering as well as their programming expertise to build sophisticated applications on a daily basis. Whether contributing to open-source projects like SciPy and NumPy or developing cutting-edge custom software, Enthought instructors possess professional, first-hand experience with the tools and technologies covered in our courses.