| import requests | |
| from datetime import datetime, timedelta | |
| import pandas as pd | |
| API_KEY="23D47252-3223-46EA-8F48-161416F44F57" | |
| SYMBOL_IDS = ['BITSTAMP_SPOT_BTC_USD'] | |
| end_date = pd.Timestamp(datetime.now()) | |
| start_date = pd.Timestamp(end_date - timedelta(days=90)) |
| const int dischargePin = 10; // Digital output pin for controlling transistor | |
| const int voltagePin = A0; // Analog input pin for measuring battery voltage | |
| float dischargeCurrent = 0.80; // Specify the discharge current in amperes | |
| int pulseDuration = 900000; // Specify the pulse duration in milliseconds | |
| bool dischargeComplete = false; // Flag variable to track pulse discharge completion | |
| void setup() { | |
| pinMode(dischargePin, OUTPUT); | |
| pinMode(voltagePin, INPUT); |
| e |
| tap "artginzburg/tap" | |
| tap "clangen/musikcube" | |
| tap "cmacrae/formulae" | |
| tap "derailed/k9s" | |
| tap "discoteq/discoteq" | |
| tap "elastic/tap" | |
| tap "ethereum/ethereum" | |
| tap "felixkratz/formulae" | |
| tap "filosottile/musl-cross" | |
| tap "gleich/tap" |
| tap "artginzburg/tap" | |
| tap "cmacrae/formulae" | |
| tap "discoteq/discoteq" | |
| tap "elastic/tap" | |
| tap "ethereum/ethereum" | |
| tap "felixkratz/formulae" | |
| tap "gleich/tap" | |
| tap "hackclub/tap" | |
| tap "homebrew/bundle" | |
| tap "homebrew/cask" |
| +---------+ | |
| | | | |
| | Clients | | |
| +---------+ | | |
| | |-+ (1) +------+ (3) +----------+ | |
| | Clients | ===#===> | Open | =======> | RealOpen | | |
| | | | +------+ +----------+ | |
| +---------+ | ^ | |
| | | (2) | |
| | /------\ |
| defaults write com.apple.finder CreateDesktop -bool false | |
| killall Finder |
| "https://cache.nixos.org" | |
| "https://cache.dhall-lang.org" | |
| "https://static-haskell-nix.cachix.org" | |
| "https://nix-tools.cachix.org" | |
| "https://amarrella.cachix.org" | |
| "https://orther.cachix.org" |
float32 is a 32 bit number - float64 uses 64 bits.
That means that float64’s take up twice as much memory - and doing operations on them may be a lot slower in some machine architectures.
However, float64’s can represent numbers much more accurately than 32 bit floats.
They also allow much larger numbers to be stored.
For your Python-Numpy project I'm sure you know the input variables and their nature.
| syntax on | |
| set noerrorbells | |
| set tabstop=4 softtabstop=4 | |
| set shiftwidth=4 | |
| set expandtab | |
| set smartindent | |
| set nu | |
| set nowrap | |
| set smartcase |
