Exploring the Lyft Prediction Dataset with a novel visualization toolkit .Autonomous Driving Dataset Visualization with Python and VizViewer
As part of a recently published paper and Kaggle competition, Lyft has made public a dataset for building autonomous driving path prediction algorithms. The dataset includes a semantic map, ego vehicle data, and dynamic observational data for moving objects in the vehicle's vicinity. The challenge presented by Lyft with this dataset is to use this data to build a model that can predict the paths of moving objects and the path an autonomous vehicle (“AV”) should take based on the observations made by the AV sensors and perception stack.
In more specific terms, the challenge is, given a set of information about the current vehicle state and its surroundings, to predict the best plan — a set of actions and behaviors — for the vehicle to safely navigate autonomously
Rodrigo Senra - Jupyter Notebooks - Olá pessoal e sejam bem-vindos à mais um episódio do Castálio Podcast! Nosso convidado de hoje é diretor técnico na Work & Co, PhD em Ciências da Computação, já contribuiu com inúmeros projetos open source em Python, ajudou a fundar a Associação Python Brasil e já foi premiado com o Prêmio …
This Jupyter Notebooks tutorial explains how easy it is to work with Jupyter notebooks in Visual Studio Code. How you can natively edit Jupyter notebooks in Visual Studio Code. Jupyter is an open-source project that enables you to easily combine Markdown text and executable Python source code on one canvas called a notebook. These notebooks contain live code, equations, visualizations and narrative text.
Visualize Twilio Usage Data with Python, Pandas and Jupyter Notebooks - this tutorial shows you how to make custom reports using the Twilio REST API to access your data and drive your own insights.
How to work with Jupyter Notebook in Visual Studio Code. How to use Jupyter Notebook in Visual Studio Code. How can natively edit Jupyter notebooks in Visual Studio Code.
Python and Jupyter Notebooks for beginners: Learn Python with Jupyter Notebook from scratch. In this introductory beginners course we will learn about the basics of Python and Jupyter notebook. You'll learn: How to install Jupyter Notebook, How to run the Jupyter Notebook Server, Common Jupyter Commands, Python Expressions, Python Statements, Python Variables, Python Data Types, Python Operators, Python Loops, Python Functions, Jupyter Components, Notebook Dashboard, Explore Notebook Interface,....