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Python Tutorial Series

Binder

This repository will hold a series of Python Tutorials dedicated to astronomers that are interested in learning Python. My idea is to have one of the Tutorials per month. This will happen during the Science Coffee time at the AURA Lecture Hall.

The material here presented was based on the material produced for the Python BootCamp 2017 at IAG-USP.

SUSD is currently working on a meta-package written in pure Python to reduce GEMINI data. This implies that astronomers will have to learn basic concepts of this language. As part of the user support, we will provide a series of Python Tutorials with the following format: 1.5 hour tutorial every 4 weeks with expositive and interactive material (exercises).

Please, find the information and links for the existing presentations. Mp4 recordings are available only to internal Gemini Users. If you need access, please contact me directly.

  1. Basics 1 (Download in PPTX or PDF or MP4)

    1. Python Overview
    2. Python as Console
    3. Python as Script
    4. Variables

  2. Basics 2 (Download in PPTX or PDF or Mp4)

    1. Code Flow
    2. Functions
    3. Classes
      1. Attributes
      2. Methods
    4. Sub-Classes

  3. Basics 3 (Download in PPTX or PDF)

    1. (Re)Using your code
      1. Modules
      2. Packages
    2. Py2/3 conversion
    3. External Packages
    4. Virtual Environments
    5. (Mini/Ana)Conda

  4. Data Analysis and Visualization 1 (Download in PPTX or in PDF or Notebook or Mp4)

    1. Numpy
    2. Matplotlib
    3. 2D Plots

  5. Data Analysis and Visualization 2 (Download in PPTX or in PDF or Mp4)

    1. Numpy Tricks
      1. Broadcasting
      2. Meshgrid
      3. mgrid
    2. Image Display
      1. Using imshow
      2. Origin
      3. Colormaps
      4. Colorbar
    3. Image Manipulation
      1. Reading PNG files
      2. Slice and merging
      3. Adding some noise
      4. Some stats with NumPy
    4. Using SciPy
      1. Reference Material
      2. Statistical Mode
      3. ndimage
    5. Masked Arrays

  6. AstroPy (Download in PPTX or in PDF or see the Jupyter Notebook or Mp4)

    1. Fits I/O
      1. getdata
      2. getheader
      3. open
      4. Header Data Units
    2. Image Display
      1. Simple display
      2. Changing contrast
      3. Masking Bad Pixels
      4. Using WCS
    3. imexam
      1. A simple example
    4. photutils
      1. Using DAOStarFind
      2. Using IRAFStarFind
      3. More

  7. Your code pretty and healthy (Download in PPTX or PDF or Mp4)

    1. Code Style
    2. Documentation
    3. Testing
    4. Project Structure
    5. Versioning and Version Control

About

This repository will hold a series of Python Tutorials dedicated to astronomers that are interested in learning Python.

Resources

Readme
GPL-3.0 license
Activity

Stars

12 stars

Watchers

5 watching

Forks

0 forks
Report repository

Releases

Packages

Used by

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all 
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}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '

Skip to content
BranchesTags
Repository files navigation
Python Tutorial Series
Binder
This repository will hold a series of Python Tutorials dedicated to astronomers that are interested in learning Python. My idea is to have one of the Tutorials per month. This will happen during the Science Coffee time at the AURA Lecture Hall.
The material here presented was based on the material produced for the Python BootCamp 2017 at IAG-USP.
SUSD is currently working on a meta-package written in pure Python to reduce GEMINI data. This implies that astronomers will have to learn basic concepts of this language. As part of the user support, we will provide a series of Python Tutorials with the following format: 1.5 hour tutorial every 4 weeks with expositive and interactive material (exercises).
Please, find the information and links for the existing presentations. Mp4 recordings are available only to internal Gemini Users. If you need access, please contact me directly.
  1. Basics 1 (Download in PPTX or PDF or MP4)
    1. Python Overview
    2. Python as Console
    3. Python as Script
    4. Variables
  2. Basics 2 (Download in PPTX or PDF or Mp4)
    1. Code Flow
    2. Functions
    3. Classes

      1. Attributes
      2. Methods
    4. Sub-Classes
  3. Basics 3 (Download in PPTX or PDF)
    1. (Re)Using your code

      1. Modules
      2. Packages
    2. Py2/3 conversion
    3. External Packages
    4. Virtual Environments
    5. (Mini/Ana)Conda
  4. Data Analysis and Visualization 1 (Download in PPTX or in PDF or Notebook or Mp4)
    1. Numpy
    2. Matplotlib
    3. 2D Plots
  5. Data Analysis and Visualization 2 (Download in PPTX or in PDF or Mp4)
    1. Numpy Tricks

      1. Broadcasting
      2. Meshgrid
      3. mgrid
    2. Image Display

      1. Using imshow
      2. Origin
      3. Colormaps
      4. Colorbar
    3. Image Manipulation

      1. Reading PNG files
      2. Slice and merging
      3. Adding some noise
      4. Some stats with NumPy
    4. Using SciPy

      1. Reference Material
      2. Statistical Mode
      3. ndimage
    5. Masked Arrays
  6. AstroPy (Download in PPTX or in PDF or see the Jupyter Notebook or Mp4)
    1. Fits I/O

      1. getdata
      2. getheader
      3. open
      4. Header Data Units
    2. Image Display

      1. Simple display
      2. Changing contrast
      3. Masking Bad Pixels
      4. Using WCS
    3. imexam

      1. A simple example
    4. photutils

      1. Using DAOStarFind
      2. Using IRAFStarFind
      3. More
  7. Your code pretty and healthy (Download in PPTX or PDF or Mp4)
    1. Code Style
    2. Documentation
    3. Testing
    4. Project Structure
    5. Versioning and Version Control
About
This repository will hold a series of Python Tutorials dedicated to astronomers that are interested in learning Python.
Resources
Readme
GPL-3.0 license
Activity
Stars
12 stars
Watchers
5 watching
Forks
0 forks
Report repository
Releases
Packages
Used by
Contributors
Languages

, '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('^' + ".*" + '

Skip to content
BranchesTags
Repository files navigation
Python Tutorial Series
Binder
This repository will hold a series of Python Tutorials dedicated to astronomers that are interested in learning Python. My idea is to have one of the Tutorials per month. This will happen during the Science Coffee time at the AURA Lecture Hall.
The material here presented was based on the material produced for the Python BootCamp 2017 at IAG-USP.
SUSD is currently working on a meta-package written in pure Python to reduce GEMINI data. This implies that astronomers will have to learn basic concepts of this language. As part of the user support, we will provide a series of Python Tutorials with the following format: 1.5 hour tutorial every 4 weeks with expositive and interactive material (exercises).
Please, find the information and links for the existing presentations. Mp4 recordings are available only to internal Gemini Users. If you need access, please contact me directly.
  1. Basics 1 (Download in PPTX or PDF or MP4)
    1. Python Overview
    2. Python as Console
    3. Python as Script
    4. Variables
  2. Basics 2 (Download in PPTX or PDF or Mp4)
    1. Code Flow
    2. Functions
    3. Classes

      1. Attributes
      2. Methods
    4. Sub-Classes
  3. Basics 3 (Download in PPTX or PDF)
    1. (Re)Using your code

      1. Modules
      2. Packages
    2. Py2/3 conversion
    3. External Packages
    4. Virtual Environments
    5. (Mini/Ana)Conda
  4. Data Analysis and Visualization 1 (Download in PPTX or in PDF or Notebook or Mp4)
    1. Numpy
    2. Matplotlib
    3. 2D Plots
  5. Data Analysis and Visualization 2 (Download in PPTX or in PDF or Mp4)
    1. Numpy Tricks

      1. Broadcasting
      2. Meshgrid
      3. mgrid
    2. Image Display

      1. Using imshow
      2. Origin
      3. Colormaps
      4. Colorbar
    3. Image Manipulation

      1. Reading PNG files
      2. Slice and merging
      3. Adding some noise
      4. Some stats with NumPy
    4. Using SciPy

      1. Reference Material
      2. Statistical Mode
      3. ndimage
    5. Masked Arrays
  6. AstroPy (Download in PPTX or in PDF or see the Jupyter Notebook or Mp4)
    1. Fits I/O

      1. getdata
      2. getheader
      3. open
      4. Header Data Units
    2. Image Display

      1. Simple display
      2. Changing contrast
      3. Masking Bad Pixels
      4. Using WCS
    3. imexam

      1. A simple example
    4. photutils

      1. Using DAOStarFind
      2. Using IRAFStarFind
      3. More
  7. Your code pretty and healthy (Download in PPTX or PDF or Mp4)
    1. Code Style
    2. Documentation
    3. Testing
    4. Project Structure
    5. Versioning and Version Control
About
This repository will hold a series of Python Tutorials dedicated to astronomers that are interested in learning Python.
Resources
Readme
GPL-3.0 license
Activity
Stars
12 stars
Watchers
5 watching
Forks
0 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('^' + ".*" + '

Skip to content
BranchesTags
Repository files navigation
Python Tutorial Series
Binder
This repository will hold a series of Python Tutorials dedicated to astronomers that are interested in learning Python. My idea is to have one of the Tutorials per month. This will happen during the Science Coffee time at the AURA Lecture Hall.
The material here presented was based on the material produced for the Python BootCamp 2017 at IAG-USP.
SUSD is currently working on a meta-package written in pure Python to reduce GEMINI data. This implies that astronomers will have to learn basic concepts of this language. As part of the user support, we will provide a series of Python Tutorials with the following format: 1.5 hour tutorial every 4 weeks with expositive and interactive material (exercises).
Please, find the information and links for the existing presentations. Mp4 recordings are available only to internal Gemini Users. If you need access, please contact me directly.
  1. Basics 1 (Download in PPTX or PDF or MP4)
    1. Python Overview
    2. Python as Console
    3. Python as Script
    4. Variables
  2. Basics 2 (Download in PPTX or PDF or Mp4)
    1. Code Flow
    2. Functions
    3. Classes

      1. Attributes
      2. Methods
    4. Sub-Classes
  3. Basics 3 (Download in PPTX or PDF)
    1. (Re)Using your code

      1. Modules
      2. Packages
    2. Py2/3 conversion
    3. External Packages
    4. Virtual Environments
    5. (Mini/Ana)Conda
  4. Data Analysis and Visualization 1 (Download in PPTX or in PDF or Notebook or Mp4)
    1. Numpy
    2. Matplotlib
    3. 2D Plots
  5. Data Analysis and Visualization 2 (Download in PPTX or in PDF or Mp4)
    1. Numpy Tricks

      1. Broadcasting
      2. Meshgrid
      3. mgrid
    2. Image Display

      1. Using imshow
      2. Origin
      3. Colormaps
      4. Colorbar
    3. Image Manipulation

      1. Reading PNG files
      2. Slice and merging
      3. Adding some noise
      4. Some stats with NumPy
    4. Using SciPy

      1. Reference Material
      2. Statistical Mode
      3. ndimage
    5. Masked Arrays
  6. AstroPy (Download in PPTX or in PDF or see the Jupyter Notebook or Mp4)
    1. Fits I/O

      1. getdata
      2. getheader
      3. open
      4. Header Data Units
    2. Image Display

      1. Simple display
      2. Changing contrast
      3. Masking Bad Pixels
      4. Using WCS
    3. imexam

      1. A simple example
    4. photutils

      1. Using DAOStarFind
      2. Using IRAFStarFind
      3. More
  7. Your code pretty and healthy (Download in PPTX or PDF or Mp4)
    1. Code Style
    2. Documentation
    3. Testing
    4. Project Structure
    5. Versioning and Version Control
About
This repository will hold a series of Python Tutorials dedicated to astronomers that are interested in learning Python.
Resources
Readme
GPL-3.0 license
Activity
Stars
12 stars
Watchers
5 watching
Forks
0 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" + '

Skip to content
BranchesTags
Repository files navigation
Python Tutorial Series
Binder
This repository will hold a series of Python Tutorials dedicated to astronomers that are interested in learning Python. My idea is to have one of the Tutorials per month. This will happen during the Science Coffee time at the AURA Lecture Hall.
The material here presented was based on the material produced for the Python BootCamp 2017 at IAG-USP.
SUSD is currently working on a meta-package written in pure Python to reduce GEMINI data. This implies that astronomers will have to learn basic concepts of this language. As part of the user support, we will provide a series of Python Tutorials with the following format: 1.5 hour tutorial every 4 weeks with expositive and interactive material (exercises).
Please, find the information and links for the existing presentations. Mp4 recordings are available only to internal Gemini Users. If you need access, please contact me directly.
  1. Basics 1 (Download in PPTX or PDF or MP4)
    1. Python Overview
    2. Python as Console
    3. Python as Script
    4. Variables
  2. Basics 2 (Download in PPTX or PDF or Mp4)
    1. Code Flow
    2. Functions
    3. Classes

      1. Attributes
      2. Methods
    4. Sub-Classes
  3. Basics 3 (Download in PPTX or PDF)
    1. (Re)Using your code

      1. Modules
      2. Packages
    2. Py2/3 conversion
    3. External Packages
    4. Virtual Environments
    5. (Mini/Ana)Conda
  4. Data Analysis and Visualization 1 (Download in PPTX or in PDF or Notebook or Mp4)
    1. Numpy
    2. Matplotlib
    3. 2D Plots
  5. Data Analysis and Visualization 2 (Download in PPTX or in PDF or Mp4)
    1. Numpy Tricks

      1. Broadcasting
      2. Meshgrid
      3. mgrid
    2. Image Display

      1. Using imshow
      2. Origin
      3. Colormaps
      4. Colorbar
    3. Image Manipulation

      1. Reading PNG files
      2. Slice and merging
      3. Adding some noise
      4. Some stats with NumPy
    4. Using SciPy

      1. Reference Material
      2. Statistical Mode
      3. ndimage
    5. Masked Arrays
  6. AstroPy (Download in PPTX or in PDF or see the Jupyter Notebook or Mp4)
    1. Fits I/O

      1. getdata
      2. getheader
      3. open
      4. Header Data Units
    2. Image Display

      1. Simple display
      2. Changing contrast
      3. Masking Bad Pixels
      4. Using WCS
    3. imexam

      1. A simple example
    4. photutils

      1. Using DAOStarFind
      2. Using IRAFStarFind
      3. More
  7. Your code pretty and healthy (Download in PPTX or PDF or Mp4)
    1. Code Style
    2. Documentation
    3. Testing
    4. Project Structure
    5. Versioning and Version Control
About
This repository will hold a series of Python Tutorials dedicated to astronomers that are interested in learning Python.
Resources
Readme
GPL-3.0 license
Activity
Stars
12 stars
Watchers
5 watching
Forks
0 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('^' + ".*" + '

Skip to content
BranchesTags
Repository files navigation
Python Tutorial Series
Binder
This repository will hold a series of Python Tutorials dedicated to astronomers that are interested in learning Python. My idea is to have one of the Tutorials per month. This will happen during the Science Coffee time at the AURA Lecture Hall.
The material here presented was based on the material produced for the Python BootCamp 2017 at IAG-USP.
SUSD is currently working on a meta-package written in pure Python to reduce GEMINI data. This implies that astronomers will have to learn basic concepts of this language. As part of the user support, we will provide a series of Python Tutorials with the following format: 1.5 hour tutorial every 4 weeks with expositive and interactive material (exercises).
Please, find the information and links for the existing presentations. Mp4 recordings are available only to internal Gemini Users. If you need access, please contact me directly.
  1. Basics 1 (Download in PPTX or PDF or MP4)
    1. Python Overview
    2. Python as Console
    3. Python as Script
    4. Variables
  2. Basics 2 (Download in PPTX or PDF or Mp4)
    1. Code Flow
    2. Functions
    3. Classes

      1. Attributes
      2. Methods
    4. Sub-Classes
  3. Basics 3 (Download in PPTX or PDF)
    1. (Re)Using your code

      1. Modules
      2. Packages
    2. Py2/3 conversion
    3. External Packages
    4. Virtual Environments
    5. (Mini/Ana)Conda
  4. Data Analysis and Visualization 1 (Download in PPTX or in PDF or Notebook or Mp4)
    1. Numpy
    2. Matplotlib
    3. 2D Plots
  5. Data Analysis and Visualization 2 (Download in PPTX or in PDF or Mp4)
    1. Numpy Tricks

      1. Broadcasting
      2. Meshgrid
      3. mgrid
    2. Image Display

      1. Using imshow
      2. Origin
      3. Colormaps
      4. Colorbar
    3. Image Manipulation

      1. Reading PNG files
      2. Slice and merging
      3. Adding some noise
      4. Some stats with NumPy
    4. Using SciPy

      1. Reference Material
      2. Statistical Mode
      3. ndimage
    5. Masked Arrays
  6. AstroPy (Download in PPTX or in PDF or see the Jupyter Notebook or Mp4)
    1. Fits I/O

      1. getdata
      2. getheader
      3. open
      4. Header Data Units
    2. Image Display

      1. Simple display
      2. Changing contrast
      3. Masking Bad Pixels
      4. Using WCS
    3. imexam

      1. A simple example
    4. photutils

      1. Using DAOStarFind
      2. Using IRAFStarFind
      3. More
  7. Your code pretty and healthy (Download in PPTX or PDF or Mp4)
    1. Code Style
    2. Documentation
    3. Testing
    4. Project Structure
    5. Versioning and Version Control
About
This repository will hold a series of Python Tutorials dedicated to astronomers that are interested in learning Python.
Resources
Readme
GPL-3.0 license
Activity
Stars
12 stars
Watchers
5 watching
Forks
0 forks
Report repository
Releases
Packages
Used by
Contributors
Languages

, '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");
}
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})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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Python Tutorial Series
Binder
This repository will hold a series of Python Tutorials dedicated to astronomers that are interested in learning Python. My idea is to have one of the Tutorials per month. This will happen during the Science Coffee time at the AURA Lecture Hall.
The material here presented was based on the material produced for the Python BootCamp 2017 at IAG-USP.
SUSD is currently working on a meta-package written in pure Python to reduce GEMINI data. This implies that astronomers will have to learn basic concepts of this language. As part of the user support, we will provide a series of Python Tutorials with the following format: 1.5 hour tutorial every 4 weeks with expositive and interactive material (exercises).
Please, find the information and links for the existing presentations. Mp4 recordings are available only to internal Gemini Users. If you need access, please contact me directly.
  1. Basics 1 (Download in PPTX or PDF or MP4)
    1. Python Overview
    2. Python as Console
    3. Python as Script
    4. Variables
  2. Basics 2 (Download in PPTX or PDF or Mp4)
    1. Code Flow
    2. Functions
    3. Classes

      1. Attributes
      2. Methods
    4. Sub-Classes
  3. Basics 3 (Download in PPTX or PDF)
    1. (Re)Using your code

      1. Modules
      2. Packages
    2. Py2/3 conversion
    3. External Packages
    4. Virtual Environments
    5. (Mini/Ana)Conda
  4. Data Analysis and Visualization 1 (Download in PPTX or in PDF or Notebook or Mp4)
    1. Numpy
    2. Matplotlib
    3. 2D Plots
  5. Data Analysis and Visualization 2 (Download in PPTX or in PDF or Mp4)
    1. Numpy Tricks

      1. Broadcasting
      2. Meshgrid
      3. mgrid
    2. Image Display

      1. Using imshow
      2. Origin
      3. Colormaps
      4. Colorbar
    3. Image Manipulation

      1. Reading PNG files
      2. Slice and merging
      3. Adding some noise
      4. Some stats with NumPy
    4. Using SciPy

      1. Reference Material
      2. Statistical Mode
      3. ndimage
    5. Masked Arrays
  6. AstroPy (Download in PPTX or in PDF or see the Jupyter Notebook or Mp4)
    1. Fits I/O

      1. getdata
      2. getheader
      3. open
      4. Header Data Units
    2. Image Display

      1. Simple display
      2. Changing contrast
      3. Masking Bad Pixels
      4. Using WCS
    3. imexam

      1. A simple example
    4. photutils

      1. Using DAOStarFind
      2. Using IRAFStarFind
      3. More
  7. Your code pretty and healthy (Download in PPTX or PDF or Mp4)
    1. Code Style
    2. Documentation
    3. Testing
    4. Project Structure
    5. Versioning and Version Control
About
This repository will hold a series of Python Tutorials dedicated to astronomers that are interested in learning Python.
Resources
Readme
GPL-3.0 license
Activity
Stars
12 stars
Watchers
5 watching
Forks
0 forks
Report repository
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Used by
Contributors
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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");
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} catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); }
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Skip to content
BranchesTags
Repository files navigation
Python Tutorial Series
Binder
This repository will hold a series of Python Tutorials dedicated to astronomers that are interested in learning Python. My idea is to have one of the Tutorials per month. This will happen during the Science Coffee time at the AURA Lecture Hall.
The material here presented was based on the material produced for the Python BootCamp 2017 at IAG-USP.
SUSD is currently working on a meta-package written in pure Python to reduce GEMINI data. This implies that astronomers will have to learn basic concepts of this language. As part of the user support, we will provide a series of Python Tutorials with the following format: 1.5 hour tutorial every 4 weeks with expositive and interactive material (exercises).
Please, find the information and links for the existing presentations. Mp4 recordings are available only to internal Gemini Users. If you need access, please contact me directly.
  1. Basics 1 (Download in PPTX or PDF or MP4)
    1. Python Overview
    2. Python as Console
    3. Python as Script
    4. Variables
  2. Basics 2 (Download in PPTX or PDF or Mp4)
    1. Code Flow
    2. Functions
    3. Classes

      1. Attributes
      2. Methods
    4. Sub-Classes
  3. Basics 3 (Download in PPTX or PDF)
    1. (Re)Using your code

      1. Modules
      2. Packages
    2. Py2/3 conversion
    3. External Packages
    4. Virtual Environments
    5. (Mini/Ana)Conda
  4. Data Analysis and Visualization 1 (Download in PPTX or in PDF or Notebook or Mp4)
    1. Numpy
    2. Matplotlib
    3. 2D Plots
  5. Data Analysis and Visualization 2 (Download in PPTX or in PDF or Mp4)
    1. Numpy Tricks

      1. Broadcasting
      2. Meshgrid
      3. mgrid
    2. Image Display

      1. Using imshow
      2. Origin
      3. Colormaps
      4. Colorbar
    3. Image Manipulation

      1. Reading PNG files
      2. Slice and merging
      3. Adding some noise
      4. Some stats with NumPy
    4. Using SciPy

      1. Reference Material
      2. Statistical Mode
      3. ndimage
    5. Masked Arrays
  6. AstroPy (Download in PPTX or in PDF or see the Jupyter Notebook or Mp4)
    1. Fits I/O

      1. getdata
      2. getheader
      3. open
      4. Header Data Units
    2. Image Display

      1. Simple display
      2. Changing contrast
      3. Masking Bad Pixels
      4. Using WCS
    3. imexam

      1. A simple example
    4. photutils

      1. Using DAOStarFind
      2. Using IRAFStarFind
      3. More
  7. Your code pretty and healthy (Download in PPTX or PDF or Mp4)
    1. Code Style
    2. Documentation
    3. Testing
    4. Project Structure
    5. Versioning and Version Control
About
This repository will hold a series of Python Tutorials dedicated to astronomers that are interested in learning Python.
Resources
Readme
GPL-3.0 license
Activity
Stars
12 stars
Watchers
5 watching
Forks
0 forks
Report repository
Releases
Packages
Used by
Contributors
Languages