Please if this install works or you find it helpful, make a comment and star so that this gist can propogate to help others.
We are going to install rust
, clang
and the latest redis
, along with additional utilities described below.
Matrix Rank: 9 | |
QR is Solution? True | |
These a solution in the span of Q_2. | |
Diagonal of R (9); Rank of A (9) | |
Is non-zero diag of R equal to rank? (True) | |
Is x_1 a solution? True | |
Is x_1 == x_0? True | |
Is our new solution x_0? True | |
Is our new solution x_0? True | |
Is our new solution x_0? True |
import scipy | |
import numpy as np | |
#Ref: https://inst.eecs.berkeley.edu/~ee127/sp21/livebook/l_lineqs_solving.html | |
def qr_solve(A,y,silent=False): | |
A = np.array(A) | |
y = np.array(y) | |
m,n = A.shape | |
Q,R,P= scipy.linalg.qr(A,pivoting=True) |
Features: | |
- Ledger -> Pay Debts owed | |
- Pay for specific tech | |
- Auto send all tech | |
- Pay for all tech | |
- TODO: Incorporate current debt to pay for all tech | |
- Research button | |
- Chat embedded features: | |
-> Api key merge using [[api:RESNITH]] | |
-> Image embed using imagur and imbb [[https://i.imgur.com/Nv1h6pm.jpeg or [[https://i.ibb.co/dpFhnc7/Screenshot-from-2022-12-19-13-48-45.png] But not [[https://ibb.co/wQVvDLY]] at least for now. This makes image show up in the chat. |
The IOTA Workshop is a craft-production factorty run by a decentralized autonomous organization, for primarily humans to use. While reading futher, please think of this as a thought experiment rather than a business proposal. Inside the workshop, are the tools and instruments that people need to produce goods or commodities. Users of the workshop pay an amount dependent on the wear and tear of the tools they use, along with upkeep costs. For security, users also need to put down a form of refundable collateral. The goal of the IOTA Workshop is to offer specialized industrial tools at higly commpetative and reasonable prices. It is the equivalent of a rental tool business but is distinctive because it operates autonomously at lower costs and is fully transparent. This workshop would be self-sustaining, cheap to use, and highly accessible.
Normally, a business or a capitalist would come in possessi
# Test | |
this is my explaination |
uhh
Here is the input xml file we will be manipulating:
You can do all the anlysis in your jupyter notebook as long as it has the pip packages pandas
,matplotlib
,scipi
,xlrd
.
Take the excel file and put it in your jupyter notebook, or in your working directory.
Import panda using import pandas as pd
, then use the following example to import the excel file:
Hi all,
The first thing I would like to do is use the library matplotlib
to plot the normal distrubution with μ = 0
and σ = 1
.
To import matplotlib you use the statement:
import matplotlib.pyplot as plt
Now you can plot make plots using plt.plot()
like plt.plot([0,1,2,3],[0,1,2,3])
, and to show them use plt.show()
(it might be different on juipiter).
Download and install XMing
: XMing
Open powershell with admin priveldges: