Your personal mentor for Python and Pandas
Briefly

Your personal mentor for Python and Pandas
""I understand the basics, but Pandas still feels like a black box." "When I have a problem to solve, I'm not even sure where to start." "I can't find clear, structured lessons that build real skill." "I want a mentor - not just more random videos.""
"✅ Dozens of courses on Python, Pandas, and Git, from "Python for non-programmers" to "Advanced Python objects." Each course includes exercises and downloadable Jupyter notebooks. ✅ Hundreds of exercises to help everything "click," plus new real-world data challenges every Wednesday from my Bamboo Weekly newsletter. ✅ Live mentorship: twice-monthly Zoom office hours and a private Discord where you can ask me anything. ✅ Members-only lectures on topics chosen by the community, from the Unix shell to pytest, from plotting to uv. ✅ Exclusive member perks: You'll get discounts on Python certification, as well as access to any new courses I produce. Upcoming courses include FastAPI, PyArrow, concurrency, modern Pandas, and machine learning."
""Reuven is one of the top five best teachers I've ever had! His clarity of expression and sense of humor make learning from him worthwhile and fun.""
LernerPython.com provides a structured learning experience for Python, Pandas, and Git with progressive courses and hands-on materials. Dozens of courses range from Python for non-programmers to Advanced Python objects, each including exercises and downloadable Jupyter notebooks. Hundreds of practice exercises and weekly real-world data challenges reinforce learning and problem-solving skills. Live mentorship is available via twice-monthly Zoom office hours and a private Discord for direct questions. Community-driven, members-only lectures cover topics from the Unix shell to pytest, plotting, and uv. Members receive discounts on Python certification and access to upcoming courses on FastAPI, PyArrow, concurrency, modern Pandas, and machine learning.
Read at Reuven Lerner
Unable to calculate read time
[
|
]