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474 results
Get ready for a shocking combination! In this video, we'll reveal the power of combining Matplotlib and Pandas in Jupyter ...
82 views
1 year ago
This tutorial delves into the foundational tools (e.g., Matplotlib, Seaborn, Pandas)for data visualization in Python. We'll explore bar ...
599 views
2 years ago
Create and Finetune a Chatbot FREE without coding Query AI - https://queryai.co.uk/?ref=lsmhtpxd Join in this comprehensive ...
389 views
Input/output bandwidth is just as much a consumable resource as CPU or memory. And data formats are important for both ease ...
112 views
Your code doesn't exist alone. It is one part of a large ecosystem, where many other things exist for you to build off of. This is ...
90 views
If you want to know how to create charts in Excel using matplotlib, this Python tutorial will take you through the steps. This ...
2,050 views
5 years ago
Ever wondered who spends the MOST time on social media? In this video, we analyze a dataset of 62 users to uncover trends in ...
69 views
9 months ago
In this video, I walk through the process of training a machine learning model using Python, specifically focusing on generating a ...
81 views
Outro of day 3 - general discussion about the course. 00:00 Q&A and summary of the day: why did we do this? ----- Python for ...
46 views
In this episode, I build a charting software for my algotrading framework using Lightweight Charts. Lightweight Charts is a free ...
9,973 views
The icebreaker/intro session of the day You probably don't want to watch this and instead will go to the main material. ----- Python ...
61 views
If I want to set the axes endpoints I can but pyplot will do that for me automatically and hopefully it will do a good job. Usually what ...
1,226 views
7 years ago
Pandas is the standard tabular data package for Python. It allows you to do plenty of operations quickly and seamlessly.
152 views
This video is about missing data. Missing data is sneaky. In time series settings it is important to impute these values, but you can't ...
833 views
6,045 views
The conclusion of the workshop, looking at feedback, some final discussion. ----- Python for Scientific Computing is a bridge ...
45 views
We discuss Jupyter, its advantages and disadvantages, and how to use it. Our main focus is establishing a common ground for ...
416 views
If you're fitting a curve or surface to data and want to ever use gradient-based optimizers or Newton solvers, make sure to do it in a ...
925 views
3 years ago
The introduction to the workshop which explains the outline and practical livestream mechanics. You might want to go on to the ...
Strengthen your skills in algorithmics and graph theory, and gain experience in programming in Python along the way. To follow ...
3,643 views