Start learning Python with a hands-on, in-person, two-day bootcamp with expert instructor Ted Petrou.
Get a comprehensive introduction to Python with precise live coding, exercises, and an expert instructor. Walk away with a solid grasp of the fundamentals and a direct path towards mastery.
Ted Petrou teaches all classes and has over 1,000 hours of in-person instruction experience. He is the author of several books including Master the Fundamentals of Python and is the creator of numerous Python libraries. Ted is constantly improving and upgrading the material to ensure it is of the highest quality.
Watching others code gives the false impression of learning. In reality, learning is demonstrated when you complete tasks yourself. During class, you will be given ample time to complete exercises and projects. Ted is very dedicated during this time to ensure students get the help they need.
You will not be able to master all the fundamentals of Python in any two-day course. However, upon completion of this course, you will be given a direct path towards mastering these fundamentals. Completing this path will earn you a certificate of completion.
The Intro to Python Bootcamp targets those who have little to no programming experience and would like a slow and thorough introduction to the most important fundamentals of the Python programming language.
Class time is divided into live coding sessions delivered by Ted and hands-on practice exercises and projects that you complete. During the live coding, you are provided an outline of the topics that Ted will cover as a Jupyter Notebook. During this time, you can code right along with Ted, exploring how the commands work, and ask questions.
During student exercises, you will be writing Python code to solve problems. Ted is always available to provide help directly at your seat and is constantly seeking out students who may be in need of extra support.
Everyone who registers gets a digital copy of Master the Fundamentals of Python ($99 value), a book by Ted Petrou with 300+ pages, 25+ hours of video, 170+ exercises, projects and detailed solutions. This book contains many more topics that are unable to be covered during class. You will access this book and any future updates to it forever.
This course is taught by Ted Petrou, an expert at Python, data exploration and machine learning. He is the author of multiple highly rated texts including:
Ted has taught hundreds of students Python and data science during in-person classroom settings. He sees first hand exactly where students struggle and continually upgrades his material to minimize these struggles by providing a simple and direct path forward.
Ted is one of the foremost authorities on using the pandas library to do data analysis. His blog posts have totaled well over 1 million views. He is also a prolific contributor on Stack Overflow having answered over 400 questions. He is an enthusiastic instructor and dedicates his time to helping students at their desk during exercises to ensure understanding.
Ted demonstrates his deep fluency in Python by developing open source Python libraries and is the creator of dexplo, a suite of data science packages that include bar_chart_race, dexplot, jupyter_to_medium, and dataframe_image.
Ted holds a Master's degree in Statistics from Rice University.
Part of the intrigue of an in-person class is the social interaction and camaraderie formed between yourself and the other students. This fellowship is mainly absent when taking an online class or watching a recorded video. Many friendships and potential career opportunities are formed between the students that attend Ted's classes.
Ted works hard to use fun real-world examples that showcase the power of Python.
And if you are looking for proof, just take a look at the immense joy radiating from the faces of the students in the picture to the left.
Hear Sayantan's experience taking the bootcamp and then transitioning to a teaching assistant.
50% Complete
Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.