This 3-day intensive Python training class provides practical, hands-on experience and foundational working knowledge of Python for data analysis, science, engineering, and other technical applications. Whether you are new to Python or a long-time enthusiast, you’ll benefit from this focused series of topics and best practices taught by experts who create Python software for notable companies in finance, oil and gas, scientific research, aerospace, biotechnology, marketing analysis and more.
The Python Foundations Core Class will get you up to speed quickly on how to optimize your use of the Python standard language and key Python packages for data exploration, modeling, and analysis. You’ll leave with:
Enthought instructors have doctorates in scientific fields such as physics, engineering, computer science, and mathematics, and all have extensive experience through research and consulting in applying Python to solve complex problems across a range of industries, allowing them to bring their real world experience to the classroom every day. Enthought instructors possess professional, first-hand experience with the tools and technologies covered in our courses.
It gave a very comprehensive overview of Python. I saw all the tools and features I would likely use and even more. I understood the power of the language and all the libraries that have been created for it.
Python Foundations Student
It was a great course. Loved the small class size (7 students). Facilities and convenience were great. Leah and homemade desserts were an unexpected treat. The instructor was a great teacher - good at explaining things and answering questions as well as working through student suggestions and helping us step through why something would or would not actually work. He was very good at walking through the learning/discovery/trial and error process and understanding how a beginner would approach some of the exercises and the errors in these approaches and explaining the right solution.
Python Foundations Student
The class will give you the initial building blocks to effectively use Python in your daily work, while setting the foundation for additional skill building in areas of specific interest.
Experience with Python is helpful (but not required). However, programming experience in some language (such as R, MATLAB, SAS, Mathematica, Java, C, C++, VB, or FORTRAN) is expected. In particular, participants need to be comfortable with general programming concepts like variables, loops, and functions.
We kick off the class by exploring the functionality of the IPython Shell, an enhanced interactive science-centric console. Next we review the Jupyter Notebook, a cell-based environment that renders scripts, plots, and rich media in a web-like interface, making it ideal for sharing and publishing analysis with peers. You’ll leave with a mastery of these tools that will accelerate your productivity and facilitate collaboration.
1. Building a Solid Infrastructure to Go From Exploratory Analysis to Reproducible Workflows
A. Introduction and Setting Up Your Integrated Analysis Environment
Next we move into an introduction to Python’s core language features that form part of your universal toolkit for tasks ranging from initial data exploration to extensible application development. We’ll introduce Python’s built-in data structures, including how and where each might be used and what trade-offs are present, and we’ll cover Python’s looping and control flow constructs. Along the way we’ll provide insight into Python’s design choices that will help you understand why Python works the way it does.
1. Using Python to Control and Document Your Workflow
Python Essentials
There are a number of “must-have” packages for scientific computing and data analysis with Python. We’ll review three of these in this class that will give you the underpinnings you need to be able to expand your knowledge into additional packages that fit your area of specialization. If you are coming from a background in MATLAB®* or R, you’ll find these libraries essential.
Chief among these packages is NumPy, a tool for rapidly manipulating and processing large data sets. Whether you are a scientist writing short scripts to analyze and plot your analytical results or an analyst writing large-scale quantitative finance applications for Wall Street, NumPy should be part of your toolbox. We give you a jump start with the basics in the classroom, then provide you additional curated lectures to extend your understanding.
Once you’ve crunched your data, you’ll want to visualize it, which is where matplotlib comes in. Matplotlib is a versatile 2D plotting library that allows you to generate plots, histograms, power spectra, bar charts, error charts, scatter plots, and more with just a few lines of code.
Finally, we do a deep dive into the Python Data Analysis Library (Pandas), a powerful package for working with multi-dimensional datasets. Pandas’ powerful data aggregation and reorganization capabilities, including support for labeling data along each dimension, missing values, and time series manipulations, have made Python an indispensable tool for data exploration and analysis.
1. Numerical Analysis, Data Exploration, and Data Visualization with NumPy Arrays and Matplotlib
NumPy Essentials
2. Data Wrangling, Exploration, and Analysis with Pandas
A. Pandas
Onsite corporate classes are also available. Discounts are available for 3 or more attendees and academics currently at a degree-granting institution. Contact us with the form to the right to learn more.
Where | When | Price | Reserve a Seat |
Albuquerque, NM | February 25-27, 2019 | $1700 | Register Online |
Albuquerque, NM | March 4-6, 2019 | $1700 | Register Online |
Los Alamos, NM | April 1-3, 2019 | $1700 | Register Online |
Albuquerque, NM | April 8-10, 2019 | $1700 | Register Online |
Albuquerque, NM | April 29-May 1, 2019 | $1700 | Register Online |
Albuquerque, NM | June 3-5, 2019 | $1700 | Register Online |
Los Alamos, NM | June 24-26, 2019 | $1700 | Register Online |
Albuquerque, NM | July 22-24, 2019 | $1700 | Register Online |
Los Alamos, NM | August 19-21, 2019 | $1700 | Register Online |
Albuquerque, NM | August 19-21, 2019 | $1700 | Register Online |
Have a question that isn’t answered here? Contact us or call 512.536.1057.
I really liked the comprehensive and thorough, albeit speedy, presentation of Python. It gave me a good idea regarding the packages provided as well as the understanding of how to navigate through them. I may not need everything at this point, but in future if (...)
The instructor's deep knowledge of Python and his willingness and ability to clearly explain how and most importantly why things work the way they do, most of the time very impressively augmented through quick off the cuff coding examples, were quite (...)
This is an excellent introductory course. It covers many aspects of Python, both basic functions and tips/tricks. The instructor is very knowledgeable and friendly, full of funs. I recommend this course to anyone who want to join the world of Python and who (...)
After this course I would like to convert any of my code in python!
Dr. Diller is a great teacher! The way he presents is very clear to understand, and the pace he teaches at is a perfect balance; It suits both those who know a lot about programing and those who know less. I am impressed by his knowledge, and inspired by his (...)
It gave a very comprehensive overview of Python. I saw all the tools and features I would likely use and even more. I understood the power of the language and all the libraries that have been created for it.
The format -- going back and forth between lecture, finger exercises, and longer exercises -- was extremely helpful to get foundational understanding. It was a great way to actually walk away knowing how to use various libraries, as well as actually do it without cut/paste.
This is an excellent course for a beginning Python programmer, and Dr. Grant is an outstanding teacher, very familiar with the material and responsive to the class... Without a doubt it was the best programming class I've ever taken.
Tim is a great teacher!! This is a great class to learn Python if you already have some basic understanding of programming.
Great start to learning python, gives you a good first intro so you are confident to explore on your own later.
Tim is an excellent instructor. I was very impressed with his ability to code 'on-the-fly' as he gave us illuminating examples.
Dr. Niederhut makes learning this material---Python, NumPy, SciPy, Pandas---- in a condensed period of time easy!