This tutorial will guide you through using Pandas to analyze lacrosse data from LaxNumbers. We'll explore how to load, clean, manipulate, and visualize lacrosse statistics to gain insights into team and player performance.
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import jenkins.model.Jenkins | |
import hudson.model.Job | |
def jenkins = Jenkins.instance | |
def totalJobs = 0 | |
def enabledCount = 0 | |
// Compatibility: | |
// Jenkins: 2.516.3 |
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import jenkins.model.Jenkins | |
import hudson.model.Job | |
import hudson.model.Queue | |
// --- WARNING --- | |
// This script performs destructive actions (clearing the queue) and | |
// modifies all job configurations (disabling them). Run with caution. | |
// Compatible with Jenkins 2.516.3 |
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# Loop using matrix | |
build-all: | |
desc: Build for all supported platforms (linux, darwin, windows on amd64/arm64) | |
deps: [clean, build] | |
cmds: | |
- mkdir -p {{.BUILD_DIR}} | |
- for: | |
matrix: | |
OS: [ 'windows', 'linux', 'darwin',] | |
ARCH: ['amd64', 'arm64'] |
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[ | |
// Emacs-style "kill" from the cursor to the end of the line | |
{ | |
"key": "ctrl+k", | |
"command": "editor.action.clipboardCutAction", | |
"when": "editorTextFocus && !editorHasSelection && !editorReadonly" | |
}, | |
// Emacs-style "yank" (paste) | |
{ | |
"key": "ctrl+y", |
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#include <stdio.h> | |
#include <fcntl.h> | |
#include <unistd.h> | |
#include <sys/ioctl.h> | |
#include <linux/hdreg.h> // For HDIO_GETGEO | |
int main(int argc, char *argv[]) { | |
if (argc != 2) { | |
fprintf(stderr, "Usage: %s <device_path>\n", argv[0]); | |
return 1; |
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--- | |
- name: Create VM | |
hosts: localhost | |
connection: local | |
gather_facts: false | |
vars: | |
molecule_yml: "{{ lookup('file', lookup('env', 'MOLECULE_FILE')) | from_yaml }}" | |
molecule_instance_config: "{{ lookup('env', 'MOLECULE_INSTANCE_CONFIG') }}" | |
vm_name: "{{ molecule_yml.platforms[0].name }}" | |
vm_path: "/tmp/{{ vm_name }}.qcow2" |
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@Library('pplus_std_lib') _ | |
@Library('pplus_stages_lib@v1.0') _ | |
@Library('pplus_meta_lib@v1.0') _ | |
@Library('pplus_security_lib@v1.0') _ | |
AppMeta appMeta | |
pipeline { | |
// [...] | |
stages { | |
stage('Preparation') { |
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