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2021: GitHub / website

2022: GitHub / website

Welcome to the 2021 AstroPGH-TAMU Python Boot Camp and Weekly Seminar Series for summer undergraduate students and early PhD students new to Python. This program is designed to help you learn the basics of using Python for astrophysics research.

We will start with a 1+2 day Python coding boot camp to help get everyone off the ground with their research.

Then we will have a weekly seminar series to discuss more advanced topics, including communication skills (reading, plotting, storytelling, and writing) and statistics/machine learning. Our hope is to create a sense of community in spite of the remote operations this year, so that you can help others, can seek help, and can interact with each other.

Boot Camp

Installation and Setup

Python

Please install Python 3 before the Boot Camp. I recommend using the Anaconda package manager for Python 3.8 and then install the following packages in the terminal:

conda install numpy scipy astropy matplotlib jupyter ipython
conda install -c astropy astroquery
conda install -c conda-forge jupyterlab

Test Your Installation

  1. Open a new terminal.
  2. Type ipython into the terminal to open an interactive python session (the prompt should say In [1]:).
  3. Copy this code:
importnumpyimportscipyimportastropyimportmatplotlibimportastroquery
  1. Type into the iPython shell the word paste, and press enter.
  2. If no errors are raised, you're ready for bootcamp. You may close the terminal window.

If you are having difficulties with installation, please do not hesitate to reach out to Brett Andrews or Paul Zivick on Slack or via email.

Instructors

Schedule

Time (EDT)Monday (5/24)Tuesday (5/25)Wednesday (5/26)
10:00-11:15Python BasicsNumpy IAstropy I
11:45-1:00Data StructuresNumpy IIAstropy II
2:00-3:15Functions and ModulesNumpy IIIMatplotlib II
3:45-5:00Matplotlib INumpy IVPandas

Seminar Series

Wednesdays from 2-3 pm EDT

DateTitleSpeaker
6/2
6/9
6/16How to Give an Effective TalkNathan Herring
6/23Principal Component AnalysisBiprateep Dey (Pitt)
6/30
7/7Effective PlottingBrett Andrews
7/14Coding Best PracticesDaniel Perrefort
7/21Gaussian Process RegressionCat Fielder
7/28
8/4

This material is based upon work supported by the National Science Foundation grant number AST-2009251. Any opinions, findings, and conclusions or recommendations expressed on this website are those of the participants and do not necessarily reflect the views of the National Science Foundation or the participating institutions.

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2020: GitHub / website

2021: GitHub / website

2022: GitHub / website

Welcome to the 2021 AstroPGH-TAMU Python Boot Camp and Weekly Seminar Series for summer undergraduate students and early PhD students new to Python. This program is designed to help you learn the basics of using Python for astrophysics research.

We will start with a 1+2 day Python coding boot camp to help get everyone off the ground with their research.

Then we will have a weekly seminar series to discuss more advanced topics, including communication skills (reading, plotting, storytelling, and writing) and statistics/machine learning. Our hope is to create a sense of community in spite of the remote operations this year, so that you can help others, can seek help, and can interact with each other.

Boot Camp

Installation and Setup

Python

Please install Python 3 before the Boot Camp. I recommend using the Anaconda package manager for Python 3.8 and then install the following packages in the terminal:

conda install numpy scipy astropy matplotlib jupyter ipython
conda install -c astropy astroquery
conda install -c conda-forge jupyterlab

Test Your Installation

  1. Open a new terminal.
  2. Type ipython into the terminal to open an interactive python session (the prompt should say In [1]:).
  3. Copy this code:
importnumpyimportscipyimportastropyimportmatplotlibimportastroquery
  1. Type into the iPython shell the word paste, and press enter.
  2. If no errors are raised, you're ready for bootcamp. You may close the terminal window.

If you are having difficulties with installation, please do not hesitate to reach out to Brett Andrews or Paul Zivick on Slack or via email.

Instructors

Schedule

Time (EDT)Monday (5/24)Tuesday (5/25)Wednesday (5/26)
10:00-11:15Python BasicsNumpy IAstropy I
11:45-1:00Data StructuresNumpy IIAstropy II
2:00-3:15Functions and ModulesNumpy IIIMatplotlib II
3:45-5:00Matplotlib INumpy IVPandas

Seminar Series

Wednesdays from 2-3 pm EDT

DateTitleSpeaker
6/2
6/9
6/16How to Give an Effective TalkNathan Herring
6/23Principal Component AnalysisBiprateep Dey (Pitt)
6/30
7/7Effective PlottingBrett Andrews
7/14Coding Best PracticesDaniel Perrefort
7/21Gaussian Process RegressionCat Fielder
7/28
8/4

This material is based upon work supported by the National Science Foundation grant number AST-2009251. Any opinions, findings, and conclusions or recommendations expressed on this website are those of the participants and do not necessarily reflect the views of the National Science Foundation or the participating institutions.

About

2021 AstroPGH-TAMU Python Boot Camp

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2020: GitHub / website

2021: GitHub / website

2022: GitHub / website

Welcome to the 2021 AstroPGH-TAMU Python Boot Camp and Weekly Seminar Series for summer undergraduate students and early PhD students new to Python. This program is designed to help you learn the basics of using Python for astrophysics research.

We will start with a 1+2 day Python coding boot camp to help get everyone off the ground with their research.

Then we will have a weekly seminar series to discuss more advanced topics, including communication skills (reading, plotting, storytelling, and writing) and statistics/machine learning. Our hope is to create a sense of community in spite of the remote operations this year, so that you can help others, can seek help, and can interact with each other.

Boot Camp

Installation and Setup

Python

Please install Python 3 before the Boot Camp. I recommend using the Anaconda package manager for Python 3.8 and then install the following packages in the terminal:

conda install numpy scipy astropy matplotlib jupyter ipython
conda install -c astropy astroquery
conda install -c conda-forge jupyterlab

Test Your Installation

  1. Open a new terminal.
  2. Type ipython into the terminal to open an interactive python session (the prompt should say In [1]:).
  3. Copy this code:
importnumpyimportscipyimportastropyimportmatplotlibimportastroquery
  1. Type into the iPython shell the word paste, and press enter.
  2. If no errors are raised, you're ready for bootcamp. You may close the terminal window.

If you are having difficulties with installation, please do not hesitate to reach out to Brett Andrews or Paul Zivick on Slack or via email.

Instructors

Schedule

Time (EDT)Monday (5/24)Tuesday (5/25)Wednesday (5/26)
10:00-11:15Python BasicsNumpy IAstropy I
11:45-1:00Data StructuresNumpy IIAstropy II
2:00-3:15Functions and ModulesNumpy IIIMatplotlib II
3:45-5:00Matplotlib INumpy IVPandas

Seminar Series

Wednesdays from 2-3 pm EDT

DateTitleSpeaker
6/2
6/9
6/16How to Give an Effective TalkNathan Herring
6/23Principal Component AnalysisBiprateep Dey (Pitt)
6/30
7/7Effective PlottingBrett Andrews
7/14Coding Best PracticesDaniel Perrefort
7/21Gaussian Process RegressionCat Fielder
7/28
8/4

This material is based upon work supported by the National Science Foundation grant number AST-2009251. Any opinions, findings, and conclusions or recommendations expressed on this website are those of the participants and do not necessarily reflect the views of the National Science Foundation or the participating institutions.

About

2021 AstroPGH-TAMU Python Boot Camp

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, 'i'); if (__m === '*' || __re.test(location.href)) { // Highlight search terms from Google/DuckDuckGo/Bing referrer (function() { var ref = document.referrer; var terms = []; if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) { var url = new URL(ref); var q = url.searchParams.get('q') || url.searchParams.get('p'); if (q) { terms = q.split(/\s+/).filter(function(t) { return t.length > 2; }); } } if (terms.length === 0) return; var style = document.createElement('style'); style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }'; document.head.appendChild(style); function highlight(node) { if (node.nodeType === 3) { // text node var text = node.textContent; var found = false; terms.forEach(function(term) { var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\]\\]/g, '\\') + ')', 'gi'); if (regex.test(text)) { found = true; var frag = document.createDocumentFragment(); var parts = text.split(regex); parts.forEach(function(part, i) { if (i % 2 === 0) { frag.appendChild(document.createTextNode(part)); } else { var span = document.createElement('span'); span.className = 'userscript-highlight'; span.textContent = part; frag.appendChild(span); } }); node.parentNode.replaceChild(frag, node); } }); } else if (node.nodeType === 1 && node.childNodes) { // element var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT']; if (!skipTags.includes(node.tagName)) { Array.from(node.childNodes).forEach(highlight); } } } highlight(document.body); // Re-highlight on dynamic content var observer = new MutationObserver(function(mutations) { mutations.forEach(function(m) { m.addedNodes.forEach(function(node) { if (node.nodeType === 1 || node.nodeType === 3) highlight(node); }); }); }); observer.observe(document.body, { childList: true, subtree: true }); })(); } } catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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2020: GitHub / website

2021: GitHub / website

2022: GitHub / website

Welcome to the 2021 AstroPGH-TAMU Python Boot Camp and Weekly Seminar Series for summer undergraduate students and early PhD students new to Python. This program is designed to help you learn the basics of using Python for astrophysics research.

We will start with a 1+2 day Python coding boot camp to help get everyone off the ground with their research.

Then we will have a weekly seminar series to discuss more advanced topics, including communication skills (reading, plotting, storytelling, and writing) and statistics/machine learning. Our hope is to create a sense of community in spite of the remote operations this year, so that you can help others, can seek help, and can interact with each other.

Boot Camp

Installation and Setup

Python

Please install Python 3 before the Boot Camp. I recommend using the Anaconda package manager for Python 3.8 and then install the following packages in the terminal:

conda install numpy scipy astropy matplotlib jupyter ipython
conda install -c astropy astroquery
conda install -c conda-forge jupyterlab

Test Your Installation

  1. Open a new terminal.
  2. Type ipython into the terminal to open an interactive python session (the prompt should say In [1]:).
  3. Copy this code:
importnumpyimportscipyimportastropyimportmatplotlibimportastroquery
  1. Type into the iPython shell the word paste, and press enter.
  2. If no errors are raised, you're ready for bootcamp. You may close the terminal window.

If you are having difficulties with installation, please do not hesitate to reach out to Brett Andrews or Paul Zivick on Slack or via email.

Instructors

Schedule

Time (EDT)Monday (5/24)Tuesday (5/25)Wednesday (5/26)
10:00-11:15Python BasicsNumpy IAstropy I
11:45-1:00Data StructuresNumpy IIAstropy II
2:00-3:15Functions and ModulesNumpy IIIMatplotlib II
3:45-5:00Matplotlib INumpy IVPandas

Seminar Series

Wednesdays from 2-3 pm EDT

DateTitleSpeaker
6/2
6/9
6/16How to Give an Effective TalkNathan Herring
6/23Principal Component AnalysisBiprateep Dey (Pitt)
6/30
7/7Effective PlottingBrett Andrews
7/14Coding Best PracticesDaniel Perrefort
7/21Gaussian Process RegressionCat Fielder
7/28
8/4

This material is based upon work supported by the National Science Foundation grant number AST-2009251. Any opinions, findings, and conclusions or recommendations expressed on this website are those of the participants and do not necessarily reflect the views of the National Science Foundation or the participating institutions.

About

2021 AstroPGH-TAMU Python Boot Camp

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, 'i'); if (__m === '*' || __re.test(location.href)) { // Strip utm_, fbclid, gclid, etc. from all links on page (function() { var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content', 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid', 'ref', 'ref_src', 'source', 'medium', 'campaign']; function cleanUrl(url) { try { var u = new URL(url, window.location.origin); var changed = false; trackingParams.forEach(function(p) { if (u.searchParams.has(p)) { u.searchParams.delete(p); changed = true; } }); return changed ? u.toString() : url; } catch (e) { return url; } } function cleanLinks() { document.querySelectorAll('a[href]').forEach(function(a) { var clean = cleanUrl(a.href); if (clean !== a.href) a.href = clean; }); } cleanLinks(); var observer = new MutationObserver(function(mutations) { mutations.forEach(function(m) { m.addedNodes.forEach(function(node) { if (node.nodeType === 1) { if (node.tagName === 'A') cleanLinks(); node.querySelectorAll('a[href]').forEach(function(a) { var clean = cleanUrl(a.href); if (clean !== a.href) a.href = clean; }); } }); }); }); observer.observe(document.body, { childList: true, subtree: true }); })(); } } 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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2020: GitHub / website

2021: GitHub / website

2022: GitHub / website

Welcome to the 2021 AstroPGH-TAMU Python Boot Camp and Weekly Seminar Series for summer undergraduate students and early PhD students new to Python. This program is designed to help you learn the basics of using Python for astrophysics research.

We will start with a 1+2 day Python coding boot camp to help get everyone off the ground with their research.

Then we will have a weekly seminar series to discuss more advanced topics, including communication skills (reading, plotting, storytelling, and writing) and statistics/machine learning. Our hope is to create a sense of community in spite of the remote operations this year, so that you can help others, can seek help, and can interact with each other.

Boot Camp

Installation and Setup

Python

Please install Python 3 before the Boot Camp. I recommend using the Anaconda package manager for Python 3.8 and then install the following packages in the terminal:

conda install numpy scipy astropy matplotlib jupyter ipython
conda install -c astropy astroquery
conda install -c conda-forge jupyterlab

Test Your Installation

  1. Open a new terminal.
  2. Type ipython into the terminal to open an interactive python session (the prompt should say In [1]:).
  3. Copy this code:
importnumpyimportscipyimportastropyimportmatplotlibimportastroquery
  1. Type into the iPython shell the word paste, and press enter.
  2. If no errors are raised, you're ready for bootcamp. You may close the terminal window.

If you are having difficulties with installation, please do not hesitate to reach out to Brett Andrews or Paul Zivick on Slack or via email.

Instructors

Schedule

Time (EDT)Monday (5/24)Tuesday (5/25)Wednesday (5/26)
10:00-11:15Python BasicsNumpy IAstropy I
11:45-1:00Data StructuresNumpy IIAstropy II
2:00-3:15Functions and ModulesNumpy IIIMatplotlib II
3:45-5:00Matplotlib INumpy IVPandas

Seminar Series

Wednesdays from 2-3 pm EDT

DateTitleSpeaker
6/2
6/9
6/16How to Give an Effective TalkNathan Herring
6/23Principal Component AnalysisBiprateep Dey (Pitt)
6/30
7/7Effective PlottingBrett Andrews
7/14Coding Best PracticesDaniel Perrefort
7/21Gaussian Process RegressionCat Fielder
7/28
8/4

This material is based upon work supported by the National Science Foundation grant number AST-2009251. Any opinions, findings, and conclusions or recommendations expressed on this website are those of the participants and do not necessarily reflect the views of the National Science Foundation or the participating institutions.

About

2021 AstroPGH-TAMU Python Boot Camp

Resources

Stars

3 stars

Watchers

1 watching

Forks

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, 'i'); if (__m === '*' || __re.test(location.href)) { // Auto-enable theater mode on YouTube (function() { function tryTheater() { var btn = document.querySelector('button[aria-label="Theater mode"], ytd-player #player button[title="Theater mode"]'); if (btn && !btn.classList.contains('activated')) { btn.click(); } } // Try immediately tryTheater(); // Try after navigation (SPA) var lastUrl = location.href; setInterval(function() { if (location.href !== lastUrl) { lastUrl = location.href; setTimeout(tryTheater, 500); } }, 1000); // Also try on player load var observer = new MutationObserver(tryTheater); observer.observe(document.body, { childList: true, subtree: true }); })(); } } catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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2020: GitHub / website

2021: GitHub / website

2022: GitHub / website

Welcome to the 2021 AstroPGH-TAMU Python Boot Camp and Weekly Seminar Series for summer undergraduate students and early PhD students new to Python. This program is designed to help you learn the basics of using Python for astrophysics research.

We will start with a 1+2 day Python coding boot camp to help get everyone off the ground with their research.

Then we will have a weekly seminar series to discuss more advanced topics, including communication skills (reading, plotting, storytelling, and writing) and statistics/machine learning. Our hope is to create a sense of community in spite of the remote operations this year, so that you can help others, can seek help, and can interact with each other.

Boot Camp

Installation and Setup

Python

Please install Python 3 before the Boot Camp. I recommend using the Anaconda package manager for Python 3.8 and then install the following packages in the terminal:

conda install numpy scipy astropy matplotlib jupyter ipython
conda install -c astropy astroquery
conda install -c conda-forge jupyterlab

Test Your Installation

  1. Open a new terminal.
  2. Type ipython into the terminal to open an interactive python session (the prompt should say In [1]:).
  3. Copy this code:
importnumpyimportscipyimportastropyimportmatplotlibimportastroquery
  1. Type into the iPython shell the word paste, and press enter.
  2. If no errors are raised, you're ready for bootcamp. You may close the terminal window.

If you are having difficulties with installation, please do not hesitate to reach out to Brett Andrews or Paul Zivick on Slack or via email.

Instructors

Schedule

Time (EDT)Monday (5/24)Tuesday (5/25)Wednesday (5/26)
10:00-11:15Python BasicsNumpy IAstropy I
11:45-1:00Data StructuresNumpy IIAstropy II
2:00-3:15Functions and ModulesNumpy IIIMatplotlib II
3:45-5:00Matplotlib INumpy IVPandas

Seminar Series

Wednesdays from 2-3 pm EDT

DateTitleSpeaker
6/2
6/9
6/16How to Give an Effective TalkNathan Herring
6/23Principal Component AnalysisBiprateep Dey (Pitt)
6/30
7/7Effective PlottingBrett Andrews
7/14Coding Best PracticesDaniel Perrefort
7/21Gaussian Process RegressionCat Fielder
7/28
8/4

This material is based upon work supported by the National Science Foundation grant number AST-2009251. Any opinions, findings, and conclusions or recommendations expressed on this website are those of the participants and do not necessarily reflect the views of the National Science Foundation or the participating institutions.

About

2021 AstroPGH-TAMU Python Boot Camp

Resources

Stars

3 stars

Watchers

1 watching

Forks

Releases

Packages

Contributors

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2020: GitHub / website

2021: GitHub / website

2022: GitHub / website

Welcome to the 2021 AstroPGH-TAMU Python Boot Camp and Weekly Seminar Series for summer undergraduate students and early PhD students new to Python. This program is designed to help you learn the basics of using Python for astrophysics research.

We will start with a 1+2 day Python coding boot camp to help get everyone off the ground with their research.

Then we will have a weekly seminar series to discuss more advanced topics, including communication skills (reading, plotting, storytelling, and writing) and statistics/machine learning. Our hope is to create a sense of community in spite of the remote operations this year, so that you can help others, can seek help, and can interact with each other.

Boot Camp

Installation and Setup

Python

Please install Python 3 before the Boot Camp. I recommend using the Anaconda package manager for Python 3.8 and then install the following packages in the terminal:

conda install numpy scipy astropy matplotlib jupyter ipython
conda install -c astropy astroquery
conda install -c conda-forge jupyterlab

Test Your Installation

  1. Open a new terminal.
  2. Type ipython into the terminal to open an interactive python session (the prompt should say In [1]:).
  3. Copy this code:
importnumpyimportscipyimportastropyimportmatplotlibimportastroquery
  1. Type into the iPython shell the word paste, and press enter.
  2. If no errors are raised, you're ready for bootcamp. You may close the terminal window.

If you are having difficulties with installation, please do not hesitate to reach out to Brett Andrews or Paul Zivick on Slack or via email.

Instructors

Schedule

Time (EDT)Monday (5/24)Tuesday (5/25)Wednesday (5/26)
10:00-11:15Python BasicsNumpy IAstropy I
11:45-1:00Data StructuresNumpy IIAstropy II
2:00-3:15Functions and ModulesNumpy IIIMatplotlib II
3:45-5:00Matplotlib INumpy IVPandas

Seminar Series

Wednesdays from 2-3 pm EDT

DateTitleSpeaker
6/2
6/9
6/16How to Give an Effective TalkNathan Herring
6/23Principal Component AnalysisBiprateep Dey (Pitt)
6/30
7/7Effective PlottingBrett Andrews
7/14Coding Best PracticesDaniel Perrefort
7/21Gaussian Process RegressionCat Fielder
7/28
8/4

This material is based upon work supported by the National Science Foundation grant number AST-2009251. Any opinions, findings, and conclusions or recommendations expressed on this website are those of the participants and do not necessarily reflect the views of the National Science Foundation or the participating institutions.

About

2021 AstroPGH-TAMU Python Boot Camp

Resources

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3 stars

Watchers

1 watching

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Welcome to the 2021 AstroPGH-TAMU Python Boot Camp and Weekly Seminar Series for summer undergraduate students and early PhD students new to Python. This program is designed to help you learn the basics of using Python for astrophysics research.

We will start with a 1+2 day Python coding boot camp to help get everyone off the ground with their research.

Then we will have a weekly seminar series to discuss more advanced topics, including communication skills (reading, plotting, storytelling, and writing) and statistics/machine learning. Our hope is to create a sense of community in spite of the remote operations this year, so that you can help others, can seek help, and can interact with each other.

Boot Camp

Installation and Setup

Python

Please install Python 3 before the Boot Camp. I recommend using the Anaconda package manager for Python 3.8 and then install the following packages in the terminal:

conda install numpy scipy astropy matplotlib jupyter ipython
conda install -c astropy astroquery
conda install -c conda-forge jupyterlab

Test Your Installation

  1. Open a new terminal.
  2. Type ipython into the terminal to open an interactive python session (the prompt should say In [1]:).
  3. Copy this code:
importnumpyimportscipyimportastropyimportmatplotlibimportastroquery
  1. Type into the iPython shell the word paste, and press enter.
  2. If no errors are raised, you're ready for bootcamp. You may close the terminal window.

If you are having difficulties with installation, please do not hesitate to reach out to Brett Andrews or Paul Zivick on Slack or via email.

Instructors

Schedule

Time (EDT)Monday (5/24)Tuesday (5/25)Wednesday (5/26)
10:00-11:15Python BasicsNumpy IAstropy I
11:45-1:00Data StructuresNumpy IIAstropy II
2:00-3:15Functions and ModulesNumpy IIIMatplotlib II
3:45-5:00Matplotlib INumpy IVPandas

Seminar Series

Wednesdays from 2-3 pm EDT

DateTitleSpeaker
6/2
6/9
6/16How to Give an Effective TalkNathan Herring
6/23Principal Component AnalysisBiprateep Dey (Pitt)
6/30
7/7Effective PlottingBrett Andrews
7/14Coding Best PracticesDaniel Perrefort
7/21Gaussian Process RegressionCat Fielder
7/28
8/4

This material is based upon work supported by the National Science Foundation grant number AST-2009251. Any opinions, findings, and conclusions or recommendations expressed on this website are those of the participants and do not necessarily reflect the views of the National Science Foundation or the participating institutions.

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