Daily Bookmarks to GAVNet 02/01/2021

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Daily Bookmarks to GAVNet 02/12/2021

Quantum causal loops

https://t.co/emX8OxKPl0

#loops #quantum

Large-scale commodity farming accelerating climate change in the Amazon

https://t.co/v3gA7OTP9E

#ClimateChange #forest #farm

Collapsed glaciers increase Third Pole uncertainties: Downstream lakes may merge within a decade

https://t.co/huAma56KeB

#glacier #lakes #ClimateChange

From trash to treasure: Silicon waste finds new use in Li-ion batteries

https://t.co/TkxKFDQMC6

#batteries #treasure #silicon #trash

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Nano Course On Python For Trading
==========================
Module 1

Python makes it very easy to analyze and visualize time series data when you’re a beginner. It's easier when you don't have to install python on your PC (that's why it's a nano course, you'll learn python...

... on the go). You will not be required to install python in your PC but you will be using an amazing python editor, Google Colab Visit
https://t.co/EZt0agsdlV

This course is for anyone out there who is confused, frustrated, and just wants this python/finance thing to work!

In Module 1 of this Nano course, we will learn about :

# Using Google Colab
# Importing libraries
# Making a Random Time Series of Black Field Research Stock (fictional)

# Using Google Colab

Intro link is here on YT: https://t.co/MqMSDBaQri

Create a new Notebook at https://t.co/EZt0agsdlV and name it AnythingOfYourChoice.ipynb

You got your notebook ready and now the game is on!
You can add code in these cells and add as many cells as you want

# Importing Libraries

Imports are pretty standard, with a few exceptions.
For the most part, you can import your libraries by running the import.
Type this in the first cell you see. You need not worry about what each of these does, we will understand it later.