Why Python?
Python is an uniquely flexible language – it can be used for everything from software engineering (writing applications) to web app development, system administration to “scientific computing” — which includes scientific analysis, engineering, modeling, data analysis, data science, and the like.
Unlike some “generalist” providers who teach generic Python to the lowest common denominator across all these roles, Enthought specializes in Python training for professionals in scientific and analytic fields. In fact, that’s our DNA, as we are first and foremost scientists, engineers, and data scientists ourselves, who just happen to use Python to drive our daily data wrangling, modeling, machine learning, numerical analysis, simulation, and more.
If you’re a professional using Python, you’ve probably had the thought, “how can I be better, smarter, and faster in using Python to get my work done?” That’s where Enthought comes in – we know that you don’t just want to learn generic Python syntax, but instead you want to learn the key tools that fit the work you do, you want hard-won expert insights and tips without having to discover them yourself through trial and error, and you want to be able to immediately apply what you learn to your work.
Bottom line: you want results and you want the best value for your invested time and money. These are some of the guiding principles in our approach to training.
What: Presentation and Q&A with Dr. Michael Connell, COO & Chief Digital Transformation Officer
Who Should Watch: Anyone who wants to develop proficiency in Python for scientific, engineering, analytic, quantitative, or data science applications, including team leaders considering Python training for a group, learning and development coordinators supporting technical teams, or individuals who want to develop their Python skills for professional applications
View the Python for Professionals Webinar Recording here
In this webinar, we’ll give you the information you need to decide whether Enthought’s Python training is the right solution for your or your team’s unique situation, helping answer questions such as:
- What kinds of Python training does Enthought offer? Who is it designed for?
- Who will benefit most from Enthought’s training (current skill levels, roles, job functions)?
- What are the key things that make Enthought’s training different from other providers and resources?
- What are the differences between Enthought’s training courses and who is each one best for?
- What specific skills will I have after taking an Enthought training course?
- Will I enjoy the curriculum, the way the information is presented, and the instructor?
- Why do people choose to train with Enthought? Who has Enthought worked with and what is their feedback?
We’ll also provide a guided tour and insights about our our five primary course offerings to help you understand the fit for you or your team:
- Python Foundations
- Python for Scientists and Engineers
- Python for Data Science
- Python for Data Analysis
- Pandas Mastery Workshop
View the Python for Professionals Webinar Recording here
Presenter: Dr. Michael Connell, COO & Chief Digital Transformation Officer
Ed.D, Education, Harvard University
M.S., Electrical Engineering and Computer Science, MIT
About Enthought’s Python Training
Enthought’s Python training is designed to accelerate the development of skill and confidence for people using Python in their work. In addition to the Python language, we develop proficiency in the core tools used by all scientists, engineers, analysts, and data scientists, such as NumPy (fast array computing), Matplotlib (data visualization and plotting), and Pandas (data wrangling and analysis), as well as tools and techniques that are more specialized for different technical roles.
Our courses are created by our Python experts and instructors based on their extensive experience in using Python and its many technical packages to solve real-world problems across domains ranging from geophysics to biotechnology to aeronautical engineering to marketing analysis and everything in between. The courses have also been refined based on lessons learned over more than a decade of teaching thousands of people to use Python effectively in their everyday work.
About Enthought’s Python Instructors
More than “trainers,” our instructors are professional peers, which means you won’t just go through a checklist of programming or computer science topics, you’ll learn from a Python expert who can guide you through the ins and outs of applying specific concepts to scientific and analytic problems.
Related Content
Making the Most of Small Data in Scientific R&D
March 9, 2023|Life Sciences, Materials Science, Transformation Making the Most of Small Data in Scientific R&D For many traditional innovation-driven organizations, scientific data is generated…
ChatGPT on Software Engineering
Recently, I’ve been working on a new course offering in Enthought Academy titled Software Engineering for Scientists and Engineers course. I’ve focused on distilling the…
What’s in a __name__?
if __name__ == “__main__”: When I was new to Python, I ran into a mysterious block of code that looked something like: def main(): …
3 Trends for Scientists To Watch in 2023
As a company that delivers Digital Transformation for Science, part of our job at Enthought is to understand the trends that will affect how our…
Accelerating Science: the Classical Mechanics Perspective
When thinking about enhancing R&D processes, Newton’s second law of motion provides the perfect framework. Classical mechanics teaches us that putting a body into motion…
Announcing Enthought Academy
Dear Students and Friends of Enthought, I am pleased to announce Enthought Academy—the culmination of over twenty years of teaching Scientific Python. Since our founding…
Extracting Target Labels from Deep Learning Classification Models
In the blog post Configuring a Neural Network Output Layer we highlighted how to correctly set up an output layer for deep learning models. Here,…
True DX in the Pharma R&D Lab Defined by Enthought
Enthought’s team in Japan exhibited at the Pharma IT & Digital Health Expo 2022 life sciences conference in Tokyo, to meet with pharmaceutical industry leaders…
Life Sciences Labs Optimize with New Digital Technologies and Upskilling
Labs are resetting the trajectory for drug development: reducing timelines from years to months; decreasing costs from billions to millions; and gaining an advantage by…
Webinar Q&A: Accelerating Product Reformulation with Machine Learning
In our recent C&EN Webinar: Accelerating Consumer Products Reformulation with Machine Learning, we demonstrated how to leverage digital tools and technology to bring new products…