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Physics79L

Welcome to the repository for the class modules for Physics 79L: Introduction to Data Analysis, With Python and Jupyter.

Each week you will be working through 1-3 notebooks during the lab time, and then spending some additional time writing up a short report on what you did.

This github repository contains the notebooks that you will be using, as well as the data and figures that you will need to run those notebooks.

For up-to-date information, please go to the website

Running these notebooks on your computer

Installing Python / Jupyter on your computer

Jupyter is an interactive environment that we will be using to run the notebooks for this course. The best/most flexible way to run jupyter is to install it on your computer. The easiest way to do that is to install it as part of an installation of the "Anaconda" data analysis environment.

You can download anaconda for free here:

https://www.anaconda.com/download/success

https://jupyter-notebook-beginner-guide.readthedocs.io/en/latest/index.html

Installing and updating this Repository on your computer

  1. Install the github desktop app from here: https://desktop.github.com/
  2. You should make a Github account if you do not have one, as it will be useful beyond this course, and is needed to download the repository
  3. Once you have installed github desktop and made an account, click on the "Current Repository" box in the upper left corner. This gives you a text box and a pull-down menu.
    1. Alternatively, where it says "Let's get started!", click "Clone a Repository from the Internet", and then select the "URL" tab.
  4. Type in 'KIPAC/Physics79L' into the text box and select "Clone Repository..." from the drop-down menu.
  5. This will "clone" the repository onto your computer, for example putting it in "Documents/GitHub/Physics79L"
    1. You can always change this installation location if you have already have a file organization structure in place on your laptop.
  6. At any point you can then update your local copy from the "origin" repository by clicking on "Fetch Origin" button.
  7. This will show all the changes that you have made to your local version. As part of the course, we'll talk about how to keep your local changes and merge any updates from the "origin".

Backup plan, Running these notebooks using jupyter on the web.

You can also use the service "binder" to run the notebooks on a remote server on the web. This works, but has some significant disadvantages. If you cannot get the notebooks to run on your computer, please discuss this option with the instructor as soon as possible.

  1. Go to https://mybinder.org/
  2. Type "KIPAC/Physics79L" into the "GitHub repository name or URL" text box and then click on the orange "Launch" button, it will take a few minutes to set up a machine somewhere off in the cloud and connect you to it.

Opening a Notebook in your browser

One you have started jupyter, it will pop up a browser window showing the contents of what jupyter treats as your home folder. You can then navigate around using the browser interface to find and then open your code.

About

No description, website, or topics provided.

Resources

Readme
GPL-3.0 license
Activity
Custom properties

Stars

3 stars

Watchers

6 watching

Forks

17 forks
Report repository

Releases

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Used by

Contributors

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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all 
 blocks\n(function() {\n function addCopyButtons() {\n document.querySelectorAll('pre code').forEach(function(codeBlock) {\n if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;\n codeBlock.parentElement.setAttribute('data-copy-added', 'true');\n \n var btn = document.createElement('button');\n btn.textContent = 'Copy';\n btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';\n btn.onmouseover = function() { this.style.opacity = '1'; };\n btn.onmouseout = function() { this.style.opacity = '0.7'; };\n btn.onclick = function() {\n navigator.clipboard.writeText(codeBlock.textContent).then(function() {\n btn.textContent = 'Copied!';\n setTimeout(function() { btn.textContent = 'Copy'; }, 1500);\n });\n };\n codeBlock.parentElement.style.position = 'relative';\n codeBlock.parentElement.appendChild(btn);\n });\n }\n \n addCopyButtons();\n \n // Re-run on dynamic content\n var observer = new MutationObserver(addCopyButtons);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Add Copy Buttons to Code Blocks");
}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '

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Physics79L
Welcome to the repository for the class modules for Physics 79L: Introduction to Data Analysis, With Python and Jupyter.
Each week you will be working through 1-3 notebooks during the lab time, and then spending some additional time writing up a short report on what you did.
This github repository contains the notebooks that you will be using, as well as the data and figures that you will need to run those notebooks.
For up-to-date information, please go to the website
Running these notebooks on your computer
Installing Python / Jupyter on your computer
Jupyter is an interactive environment that we will be using to run the notebooks for this course.
The best/most flexible way to run jupyter is to install it on your computer. The easiest way to do that is to install it as part of an installation of the "Anaconda" data analysis environment.
You can download anaconda for free here:
https://www.anaconda.com/download/success
https://jupyter-notebook-beginner-guide.readthedocs.io/en/latest/index.html
Installing and updating this Repository on your computer
  1. Install the github desktop app from here: https://desktop.github.com/
  2. You should make a Github account if you do not have one, as it will be useful beyond this course, and is needed to download the repository
  3. Once you have installed github desktop and made an account, click on the "Current Repository" box in the upper left corner. This gives you a text box and a pull-down menu.

    1. Alternatively, where it says "Let's get started!", click "Clone a Repository from the Internet", and then select the "URL" tab.
  4. Type in 'KIPAC/Physics79L' into the text box and select "Clone Repository..." from the drop-down menu.
  5. This will "clone" the repository onto your computer, for example putting it in "Documents/GitHub/Physics79L"

    1. You can always change this installation location if you have already have a file organization structure in place on your laptop.
  6. At any point you can then update your local copy from the "origin" repository by clicking on "Fetch Origin" button.
  7. This will show all the changes that you have made to your local version. As part of the course, we'll talk about how to keep your local changes and merge any updates from the "origin".
Backup plan, Running these notebooks using jupyter on the web.
You can also use the service "binder" to run the notebooks on a remote server on the web. This works, but has some significant disadvantages. If you cannot get the notebooks to run on your computer, please discuss this option with the instructor as soon as possible.
  1. Go to https://mybinder.org/
  2. Type "KIPAC/Physics79L" into the "GitHub repository name or URL" text box and then click on the orange "Launch" button, it will take a few minutes to set up a machine somewhere off in the cloud and connect you to it.
Opening a Notebook in your browser
One you have started jupyter, it will pop up a browser window showing the contents of what jupyter treats as your home folder. You can then navigate around using the browser interface to find and then open your code.
About
No description, website, or topics provided.
Resources
Readme
GPL-3.0 license
Activity
Custom properties
Stars
3 stars
Watchers
6 watching
Forks
17 forks
Report repository
Releases
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Used by
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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix");
}
} catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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491 Commits
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Repository files navigation
Physics79L
Welcome to the repository for the class modules for Physics 79L: Introduction to Data Analysis, With Python and Jupyter.
Each week you will be working through 1-3 notebooks during the lab time, and then spending some additional time writing up a short report on what you did.
This github repository contains the notebooks that you will be using, as well as the data and figures that you will need to run those notebooks.
For up-to-date information, please go to the website
Running these notebooks on your computer
Installing Python / Jupyter on your computer
Jupyter is an interactive environment that we will be using to run the notebooks for this course.
The best/most flexible way to run jupyter is to install it on your computer. The easiest way to do that is to install it as part of an installation of the "Anaconda" data analysis environment.
You can download anaconda for free here:
https://www.anaconda.com/download/success
https://jupyter-notebook-beginner-guide.readthedocs.io/en/latest/index.html
Installing and updating this Repository on your computer
  1. Install the github desktop app from here: https://desktop.github.com/
  2. You should make a Github account if you do not have one, as it will be useful beyond this course, and is needed to download the repository
  3. Once you have installed github desktop and made an account, click on the "Current Repository" box in the upper left corner. This gives you a text box and a pull-down menu.

    1. Alternatively, where it says "Let's get started!", click "Clone a Repository from the Internet", and then select the "URL" tab.
  4. Type in 'KIPAC/Physics79L' into the text box and select "Clone Repository..." from the drop-down menu.
  5. This will "clone" the repository onto your computer, for example putting it in "Documents/GitHub/Physics79L"

    1. You can always change this installation location if you have already have a file organization structure in place on your laptop.
  6. At any point you can then update your local copy from the "origin" repository by clicking on "Fetch Origin" button.
  7. This will show all the changes that you have made to your local version. As part of the course, we'll talk about how to keep your local changes and merge any updates from the "origin".
Backup plan, Running these notebooks using jupyter on the web.
You can also use the service "binder" to run the notebooks on a remote server on the web. This works, but has some significant disadvantages. If you cannot get the notebooks to run on your computer, please discuss this option with the instructor as soon as possible.
  1. Go to https://mybinder.org/
  2. Type "KIPAC/Physics79L" into the "GitHub repository name or URL" text box and then click on the orange "Launch" button, it will take a few minutes to set up a machine somewhere off in the cloud and connect you to it.
Opening a Notebook in your browser
One you have started jupyter, it will pop up a browser window showing the contents of what jupyter treats as your home folder. You can then navigate around using the browser interface to find and then open your code.
About
No description, website, or topics provided.
Resources
Readme
GPL-3.0 license
Activity
Custom properties
Stars
3 stars
Watchers
6 watching
Forks
17 forks
Report repository
Releases
Packages
Used by
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length > 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms");
}
} catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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README.md
README.md
requirements.txt
requirements.txt
Repository files navigation
Physics79L
Welcome to the repository for the class modules for Physics 79L: Introduction to Data Analysis, With Python and Jupyter.
Each week you will be working through 1-3 notebooks during the lab time, and then spending some additional time writing up a short report on what you did.
This github repository contains the notebooks that you will be using, as well as the data and figures that you will need to run those notebooks.
For up-to-date information, please go to the website
Running these notebooks on your computer
Installing Python / Jupyter on your computer
Jupyter is an interactive environment that we will be using to run the notebooks for this course.
The best/most flexible way to run jupyter is to install it on your computer. The easiest way to do that is to install it as part of an installation of the "Anaconda" data analysis environment.
You can download anaconda for free here:
https://www.anaconda.com/download/success
https://jupyter-notebook-beginner-guide.readthedocs.io/en/latest/index.html
Installing and updating this Repository on your computer
  1. Install the github desktop app from here: https://desktop.github.com/
  2. You should make a Github account if you do not have one, as it will be useful beyond this course, and is needed to download the repository
  3. Once you have installed github desktop and made an account, click on the "Current Repository" box in the upper left corner. This gives you a text box and a pull-down menu.

    1. Alternatively, where it says "Let's get started!", click "Clone a Repository from the Internet", and then select the "URL" tab.
  4. Type in 'KIPAC/Physics79L' into the text box and select "Clone Repository..." from the drop-down menu.
  5. This will "clone" the repository onto your computer, for example putting it in "Documents/GitHub/Physics79L"

    1. You can always change this installation location if you have already have a file organization structure in place on your laptop.
  6. At any point you can then update your local copy from the "origin" repository by clicking on "Fetch Origin" button.
  7. This will show all the changes that you have made to your local version. As part of the course, we'll talk about how to keep your local changes and merge any updates from the "origin".
Backup plan, Running these notebooks using jupyter on the web.
You can also use the service "binder" to run the notebooks on a remote server on the web. This works, but has some significant disadvantages. If you cannot get the notebooks to run on your computer, please discuss this option with the instructor as soon as possible.
  1. Go to https://mybinder.org/
  2. Type "KIPAC/Physics79L" into the "GitHub repository name or URL" text box and then click on the orange "Launch" button, it will take a few minutes to set up a machine somewhere off in the cloud and connect you to it.
Opening a Notebook in your browser
One you have started jupyter, it will pop up a browser window showing the contents of what jupyter treats as your home folder. You can then navigate around using the browser interface to find and then open your code.
About
No description, website, or topics provided.
Resources
Readme
GPL-3.0 license
Activity
Custom properties
Stars
3 stars
Watchers
6 watching
Forks
17 forks
Report repository
Releases
Packages
Used by
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links");
}
} catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); }
})();
(function(){
try {
var __m = "youtube.com";
var __re = new RegExp('^' + "youtube\\.com" + '

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README.md
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requirements.txt
Repository files navigation
Physics79L
Welcome to the repository for the class modules for Physics 79L: Introduction to Data Analysis, With Python and Jupyter.
Each week you will be working through 1-3 notebooks during the lab time, and then spending some additional time writing up a short report on what you did.
This github repository contains the notebooks that you will be using, as well as the data and figures that you will need to run those notebooks.
For up-to-date information, please go to the website
Running these notebooks on your computer
Installing Python / Jupyter on your computer
Jupyter is an interactive environment that we will be using to run the notebooks for this course.
The best/most flexible way to run jupyter is to install it on your computer. The easiest way to do that is to install it as part of an installation of the "Anaconda" data analysis environment.
You can download anaconda for free here:
https://www.anaconda.com/download/success
https://jupyter-notebook-beginner-guide.readthedocs.io/en/latest/index.html
Installing and updating this Repository on your computer
  1. Install the github desktop app from here: https://desktop.github.com/
  2. You should make a Github account if you do not have one, as it will be useful beyond this course, and is needed to download the repository
  3. Once you have installed github desktop and made an account, click on the "Current Repository" box in the upper left corner. This gives you a text box and a pull-down menu.

    1. Alternatively, where it says "Let's get started!", click "Clone a Repository from the Internet", and then select the "URL" tab.
  4. Type in 'KIPAC/Physics79L' into the text box and select "Clone Repository..." from the drop-down menu.
  5. This will "clone" the repository onto your computer, for example putting it in "Documents/GitHub/Physics79L"

    1. You can always change this installation location if you have already have a file organization structure in place on your laptop.
  6. At any point you can then update your local copy from the "origin" repository by clicking on "Fetch Origin" button.
  7. This will show all the changes that you have made to your local version. As part of the course, we'll talk about how to keep your local changes and merge any updates from the "origin".
Backup plan, Running these notebooks using jupyter on the web.
You can also use the service "binder" to run the notebooks on a remote server on the web. This works, but has some significant disadvantages. If you cannot get the notebooks to run on your computer, please discuss this option with the instructor as soon as possible.
  1. Go to https://mybinder.org/
  2. Type "KIPAC/Physics79L" into the "GitHub repository name or URL" text box and then click on the orange "Launch" button, it will take a few minutes to set up a machine somewhere off in the cloud and connect you to it.
Opening a Notebook in your browser
One you have started jupyter, it will pop up a browser window showing the contents of what jupyter treats as your home folder. You can then navigate around using the browser interface to find and then open your code.
About
No description, website, or topics provided.
Resources
Readme
GPL-3.0 license
Activity
Custom properties
Stars
3 stars
Watchers
6 watching
Forks
17 forks
Report repository
Releases
Packages
Used by
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default");
}
} catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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README.md
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requirements.txt
Repository files navigation
Physics79L
Welcome to the repository for the class modules for Physics 79L: Introduction to Data Analysis, With Python and Jupyter.
Each week you will be working through 1-3 notebooks during the lab time, and then spending some additional time writing up a short report on what you did.
This github repository contains the notebooks that you will be using, as well as the data and figures that you will need to run those notebooks.
For up-to-date information, please go to the website
Running these notebooks on your computer
Installing Python / Jupyter on your computer
Jupyter is an interactive environment that we will be using to run the notebooks for this course.
The best/most flexible way to run jupyter is to install it on your computer. The easiest way to do that is to install it as part of an installation of the "Anaconda" data analysis environment.
You can download anaconda for free here:
https://www.anaconda.com/download/success
https://jupyter-notebook-beginner-guide.readthedocs.io/en/latest/index.html
Installing and updating this Repository on your computer
  1. Install the github desktop app from here: https://desktop.github.com/
  2. You should make a Github account if you do not have one, as it will be useful beyond this course, and is needed to download the repository
  3. Once you have installed github desktop and made an account, click on the "Current Repository" box in the upper left corner. This gives you a text box and a pull-down menu.

    1. Alternatively, where it says "Let's get started!", click "Clone a Repository from the Internet", and then select the "URL" tab.
  4. Type in 'KIPAC/Physics79L' into the text box and select "Clone Repository..." from the drop-down menu.
  5. This will "clone" the repository onto your computer, for example putting it in "Documents/GitHub/Physics79L"

    1. You can always change this installation location if you have already have a file organization structure in place on your laptop.
  6. At any point you can then update your local copy from the "origin" repository by clicking on "Fetch Origin" button.
  7. This will show all the changes that you have made to your local version. As part of the course, we'll talk about how to keep your local changes and merge any updates from the "origin".
Backup plan, Running these notebooks using jupyter on the web.
You can also use the service "binder" to run the notebooks on a remote server on the web. This works, but has some significant disadvantages. If you cannot get the notebooks to run on your computer, please discuss this option with the instructor as soon as possible.
  1. Go to https://mybinder.org/
  2. Type "KIPAC/Physics79L" into the "GitHub repository name or URL" text box and then click on the orange "Launch" button, it will take a few minutes to set up a machine somewhere off in the cloud and connect you to it.
Opening a Notebook in your browser
One you have started jupyter, it will pop up a browser window showing the contents of what jupyter treats as your home folder. You can then navigate around using the browser interface to find and then open your code.
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No description, website, or topics provided.
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6 watching
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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers");
}
} catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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Physics79L
Welcome to the repository for the class modules for Physics 79L: Introduction to Data Analysis, With Python and Jupyter.
Each week you will be working through 1-3 notebooks during the lab time, and then spending some additional time writing up a short report on what you did.
This github repository contains the notebooks that you will be using, as well as the data and figures that you will need to run those notebooks.
For up-to-date information, please go to the website
Running these notebooks on your computer
Installing Python / Jupyter on your computer
Jupyter is an interactive environment that we will be using to run the notebooks for this course.
The best/most flexible way to run jupyter is to install it on your computer. The easiest way to do that is to install it as part of an installation of the "Anaconda" data analysis environment.
You can download anaconda for free here:
https://www.anaconda.com/download/success
https://jupyter-notebook-beginner-guide.readthedocs.io/en/latest/index.html
Installing and updating this Repository on your computer
  1. Install the github desktop app from here: https://desktop.github.com/
  2. You should make a Github account if you do not have one, as it will be useful beyond this course, and is needed to download the repository
  3. Once you have installed github desktop and made an account, click on the "Current Repository" box in the upper left corner. This gives you a text box and a pull-down menu.

    1. Alternatively, where it says "Let's get started!", click "Clone a Repository from the Internet", and then select the "URL" tab.
  4. Type in 'KIPAC/Physics79L' into the text box and select "Clone Repository..." from the drop-down menu.
  5. This will "clone" the repository onto your computer, for example putting it in "Documents/GitHub/Physics79L"

    1. You can always change this installation location if you have already have a file organization structure in place on your laptop.
  6. At any point you can then update your local copy from the "origin" repository by clicking on "Fetch Origin" button.
  7. This will show all the changes that you have made to your local version. As part of the course, we'll talk about how to keep your local changes and merge any updates from the "origin".
Backup plan, Running these notebooks using jupyter on the web.
You can also use the service "binder" to run the notebooks on a remote server on the web. This works, but has some significant disadvantages. If you cannot get the notebooks to run on your computer, please discuss this option with the instructor as soon as possible.
  1. Go to https://mybinder.org/
  2. Type "KIPAC/Physics79L" into the "GitHub repository name or URL" text box and then click on the orange "Launch" button, it will take a few minutes to set up a machine somewhere off in the cloud and connect you to it.
Opening a Notebook in your browser
One you have started jupyter, it will pop up a browser window showing the contents of what jupyter treats as your home folder. You can then navigate around using the browser interface to find and then open your code.
About
No description, website, or topics provided.
Resources
Readme
GPL-3.0 license
Activity
Custom properties
Stars
3 stars
Watchers
6 watching
Forks
17 forks
Report repository
Releases
Packages
Used by
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode");
}
} catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); }
})();
})();

Skip to content
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491 Commits
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NameName
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nb
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.gitignore
LICENSE
LICENSE
README.md
README.md
requirements.txt
requirements.txt
Repository files navigation
Physics79L
Welcome to the repository for the class modules for Physics 79L: Introduction to Data Analysis, With Python and Jupyter.
Each week you will be working through 1-3 notebooks during the lab time, and then spending some additional time writing up a short report on what you did.
This github repository contains the notebooks that you will be using, as well as the data and figures that you will need to run those notebooks.
For up-to-date information, please go to the website
Running these notebooks on your computer
Installing Python / Jupyter on your computer
Jupyter is an interactive environment that we will be using to run the notebooks for this course.
The best/most flexible way to run jupyter is to install it on your computer. The easiest way to do that is to install it as part of an installation of the "Anaconda" data analysis environment.
You can download anaconda for free here:
https://www.anaconda.com/download/success
https://jupyter-notebook-beginner-guide.readthedocs.io/en/latest/index.html
Installing and updating this Repository on your computer
  1. Install the github desktop app from here: https://desktop.github.com/
  2. You should make a Github account if you do not have one, as it will be useful beyond this course, and is needed to download the repository
  3. Once you have installed github desktop and made an account, click on the "Current Repository" box in the upper left corner. This gives you a text box and a pull-down menu.

    1. Alternatively, where it says "Let's get started!", click "Clone a Repository from the Internet", and then select the "URL" tab.
  4. Type in 'KIPAC/Physics79L' into the text box and select "Clone Repository..." from the drop-down menu.
  5. This will "clone" the repository onto your computer, for example putting it in "Documents/GitHub/Physics79L"

    1. You can always change this installation location if you have already have a file organization structure in place on your laptop.
  6. At any point you can then update your local copy from the "origin" repository by clicking on "Fetch Origin" button.
  7. This will show all the changes that you have made to your local version. As part of the course, we'll talk about how to keep your local changes and merge any updates from the "origin".
Backup plan, Running these notebooks using jupyter on the web.
You can also use the service "binder" to run the notebooks on a remote server on the web. This works, but has some significant disadvantages. If you cannot get the notebooks to run on your computer, please discuss this option with the instructor as soon as possible.
  1. Go to https://mybinder.org/
  2. Type "KIPAC/Physics79L" into the "GitHub repository name or URL" text box and then click on the orange "Launch" button, it will take a few minutes to set up a machine somewhere off in the cloud and connect you to it.
Opening a Notebook in your browser
One you have started jupyter, it will pop up a browser window showing the contents of what jupyter treats as your home folder. You can then navigate around using the browser interface to find and then open your code.
About
No description, website, or topics provided.
Resources
Readme
GPL-3.0 license
Activity
Custom properties
Stars
3 stars
Watchers
6 watching
Forks
17 forks
Report repository
Releases
Packages
Used by
Contributors
Languages