BranchesTags

Latest commit

History

12 Commits

Folders and files

NameName
Last commit message
Last commit date
fig
fig
.gitignore
.gitignore
00-Introduction.ipynb
00-Introduction.ipynb
01-How-to-Run-Python-Code.ipynb
01-How-to-Run-Python-Code.ipynb
02-Basic-Python-Syntax.ipynb
02-Basic-Python-Syntax.ipynb
03-Semantics-Variables.ipynb
03-Semantics-Variables.ipynb
04-Semantics-Operators.ipynb
04-Semantics-Operators.ipynb
05-Built-in-Scalar-Types.ipynb
05-Built-in-Scalar-Types.ipynb
06-Built-in-Data-Structures.ipynb
06-Built-in-Data-Structures.ipynb
07-Control-Flow-Statements.ipynb
07-Control-Flow-Statements.ipynb
08-Defining-Functions.ipynb
08-Defining-Functions.ipynb
09-Errors-and-Exceptions.ipynb
09-Errors-and-Exceptions.ipynb
10-Iterators.ipynb
10-Iterators.ipynb
11-List-Comprehensions.ipynb
11-List-Comprehensions.ipynb
12-Generators.ipynb
12-Generators.ipynb
13-Modules-and-Packages.ipynb
13-Modules-and-Packages.ipynb
14-Strings-and-Regular-Expressions.ipynb
14-Strings-and-Regular-Expressions.ipynb
15-Preview-of-Data-Science-Tools.ipynb
15-Preview-of-Data-Science-Tools.ipynb
16-Further-Resources.ipynb
16-Further-Resources.ipynb
17-Figures.ipynb
17-Figures.ipynb
Index.ipynb
Index.ipynb
LICENSE
LICENSE
README.md
README.md

Repository files navigation

A Whirlwind Tour of Python

Jake VanderPlas, Summer 2016

This repository contains the Jupyter Notebooks behind my O'Reilly report, A Whirlwind Tour of Python.

A Whirlwind Tour of Python is a fast-paced introduction to essential components of the Python language for researchers and developers who are already familiar with programming in another language.

The material is particularly aimed at those who wish to use Python for data science and/or scientific programming, and in this capacity serves as an introduction to my upcoming book, The Python Data Science Handbook. These notebooks are adapted from lectures and workshops I've given on these topics at University of Washington and at various conferences, meetings, and workshops around the world.

Index

Notebook Index

  1. Introduction
  2. How to Run Python Code
  3. Basic Python Syntax
  4. Python Semantics: Variables
  5. Python Semantics: Operators
  6. Built-In Scalar Types
  7. Built-In Data Structures
  8. Control Flow Statements
  9. Defining Functions
  10. Errors and Exceptions
  11. Iterators
  12. List Comprehensions
  13. Generators and Generator Expressions
  14. Modules and Packages
  15. Strings and Regular Expressions
  16. Preview of Data Science Tools
  17. Resources for Further Learning
  18. Appendix: Code To Reproduce Figures

License and Citation

This material is released under the "No Rights Reserved" CC0 license, and thus you are free to re-use, modify, build-on, and enhance this material for any purpose. Read more about CC0 here.

If you do use this material, I would appreciate attribution. An attribution usually includes the title, author, publisher, and ISBN. For example:

A Whirlwind Tour of Python by Jake VanderPlas (O’Reilly). Copyright 2016 O’Reilly Media, Inc., 978-1-491-96465-1.

About

The Jupyter Notebooks behind my OReilly report, "A Whirlwind Tour of Python"

Resources

Readme
CC0-1.0 license
Activity

Stars

0 stars

Watchers

1 watching

Forks

0 forks
Report repository

Releases

Packages

Contributors

Languages

, '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" + '

Skip to content
BranchesTags
Latest commit
History
12 Commits
Folders and files
NameName
Last commit message
Last commit date
fig
fig
.gitignore
.gitignore
00-Introduction.ipynb
00-Introduction.ipynb
01-How-to-Run-Python-Code.ipynb
01-How-to-Run-Python-Code.ipynb
02-Basic-Python-Syntax.ipynb
02-Basic-Python-Syntax.ipynb
03-Semantics-Variables.ipynb
03-Semantics-Variables.ipynb
04-Semantics-Operators.ipynb
04-Semantics-Operators.ipynb
05-Built-in-Scalar-Types.ipynb
05-Built-in-Scalar-Types.ipynb
06-Built-in-Data-Structures.ipynb
06-Built-in-Data-Structures.ipynb
07-Control-Flow-Statements.ipynb
07-Control-Flow-Statements.ipynb
08-Defining-Functions.ipynb
08-Defining-Functions.ipynb
09-Errors-and-Exceptions.ipynb
09-Errors-and-Exceptions.ipynb
10-Iterators.ipynb
10-Iterators.ipynb
11-List-Comprehensions.ipynb
11-List-Comprehensions.ipynb
12-Generators.ipynb
12-Generators.ipynb
13-Modules-and-Packages.ipynb
13-Modules-and-Packages.ipynb
14-Strings-and-Regular-Expressions.ipynb
14-Strings-and-Regular-Expressions.ipynb
15-Preview-of-Data-Science-Tools.ipynb
15-Preview-of-Data-Science-Tools.ipynb
16-Further-Resources.ipynb
16-Further-Resources.ipynb
17-Figures.ipynb
17-Figures.ipynb
Index.ipynb
Index.ipynb
LICENSE
LICENSE
README.md
README.md
Repository files navigation
A Whirlwind Tour of Python
Jake VanderPlas, Summer 2016
This repository contains the Jupyter Notebooks behind my O'Reilly report,
A Whirlwind Tour of Python.
A Whirlwind Tour of Python is a fast-paced introduction to essential
components of the Python language for researchers and developers who are
already familiar with programming in another language.
The material is particularly aimed at those who wish to use Python for data
science and/or scientific programming, and in this capacity serves as an
introduction to my upcoming book,
The Python Data Science Handbook.
These notebooks are adapted from lectures and workshops I've given on these
topics at University of Washington and at various conferences, meetings, and
workshops around the world.
Index
Notebook Index
  1. Introduction
  2. How to Run Python Code
  3. Basic Python Syntax
  4. Python Semantics: Variables
  5. Python Semantics: Operators
  6. Built-In Scalar Types
  7. Built-In Data Structures
  8. Control Flow Statements
  9. Defining Functions
  10. Errors and Exceptions
  11. Iterators
  12. List Comprehensions
  13. Generators and Generator Expressions
  14. Modules and Packages
  15. Strings and Regular Expressions
  16. Preview of Data Science Tools
  17. Resources for Further Learning
  18. Appendix: Code To Reproduce Figures
License and Citation
This material is released under the "No Rights Reserved" CC0
license, and thus you are free to re-use, modify, build-on, and enhance
this material for any purpose.
Read more about CC0 here.
If you do use this material, I would appreciate attribution.
An attribution usually includes the title, author, publisher, and ISBN.
For example:
A Whirlwind Tour of Python by Jake VanderPlas (O’Reilly). Copyright 2016 O’Reilly Media, Inc., 978-1-491-96465-1.
About
The Jupyter Notebooks behind my OReilly report, "A Whirlwind Tour of Python"
Resources
Readme
CC0-1.0 license
Activity
Stars
0 stars
Watchers
1 watching
Forks
0 forks
Report repository
Releases
Packages
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
Latest commit
History
12 Commits
Folders and files
NameName
Last commit message
Last commit date
fig
fig
.gitignore
.gitignore
00-Introduction.ipynb
00-Introduction.ipynb
01-How-to-Run-Python-Code.ipynb
01-How-to-Run-Python-Code.ipynb
02-Basic-Python-Syntax.ipynb
02-Basic-Python-Syntax.ipynb
03-Semantics-Variables.ipynb
03-Semantics-Variables.ipynb
04-Semantics-Operators.ipynb
04-Semantics-Operators.ipynb
05-Built-in-Scalar-Types.ipynb
05-Built-in-Scalar-Types.ipynb
06-Built-in-Data-Structures.ipynb
06-Built-in-Data-Structures.ipynb
07-Control-Flow-Statements.ipynb
07-Control-Flow-Statements.ipynb
08-Defining-Functions.ipynb
08-Defining-Functions.ipynb
09-Errors-and-Exceptions.ipynb
09-Errors-and-Exceptions.ipynb
10-Iterators.ipynb
10-Iterators.ipynb
11-List-Comprehensions.ipynb
11-List-Comprehensions.ipynb
12-Generators.ipynb
12-Generators.ipynb
13-Modules-and-Packages.ipynb
13-Modules-and-Packages.ipynb
14-Strings-and-Regular-Expressions.ipynb
14-Strings-and-Regular-Expressions.ipynb
15-Preview-of-Data-Science-Tools.ipynb
15-Preview-of-Data-Science-Tools.ipynb
16-Further-Resources.ipynb
16-Further-Resources.ipynb
17-Figures.ipynb
17-Figures.ipynb
Index.ipynb
Index.ipynb
LICENSE
LICENSE
README.md
README.md
Repository files navigation
A Whirlwind Tour of Python
Jake VanderPlas, Summer 2016
This repository contains the Jupyter Notebooks behind my O'Reilly report,
A Whirlwind Tour of Python.
A Whirlwind Tour of Python is a fast-paced introduction to essential
components of the Python language for researchers and developers who are
already familiar with programming in another language.
The material is particularly aimed at those who wish to use Python for data
science and/or scientific programming, and in this capacity serves as an
introduction to my upcoming book,
The Python Data Science Handbook.
These notebooks are adapted from lectures and workshops I've given on these
topics at University of Washington and at various conferences, meetings, and
workshops around the world.
Index
Notebook Index
  1. Introduction
  2. How to Run Python Code
  3. Basic Python Syntax
  4. Python Semantics: Variables
  5. Python Semantics: Operators
  6. Built-In Scalar Types
  7. Built-In Data Structures
  8. Control Flow Statements
  9. Defining Functions
  10. Errors and Exceptions
  11. Iterators
  12. List Comprehensions
  13. Generators and Generator Expressions
  14. Modules and Packages
  15. Strings and Regular Expressions
  16. Preview of Data Science Tools
  17. Resources for Further Learning
  18. Appendix: Code To Reproduce Figures
License and Citation
This material is released under the "No Rights Reserved" CC0
license, and thus you are free to re-use, modify, build-on, and enhance
this material for any purpose.
Read more about CC0 here.
If you do use this material, I would appreciate attribution.
An attribution usually includes the title, author, publisher, and ISBN.
For example:
A Whirlwind Tour of Python by Jake VanderPlas (O’Reilly). Copyright 2016 O’Reilly Media, Inc., 978-1-491-96465-1.
About
The Jupyter Notebooks behind my OReilly report, "A Whirlwind Tour of Python"
Resources
Readme
CC0-1.0 license
Activity
Stars
0 stars
Watchers
1 watching
Forks
0 forks
Report repository
Releases
Packages
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
Latest commit
History
12 Commits
Folders and files
NameName
Last commit message
Last commit date
fig
fig
.gitignore
.gitignore
00-Introduction.ipynb
00-Introduction.ipynb
01-How-to-Run-Python-Code.ipynb
01-How-to-Run-Python-Code.ipynb
02-Basic-Python-Syntax.ipynb
02-Basic-Python-Syntax.ipynb
03-Semantics-Variables.ipynb
03-Semantics-Variables.ipynb
04-Semantics-Operators.ipynb
04-Semantics-Operators.ipynb
05-Built-in-Scalar-Types.ipynb
05-Built-in-Scalar-Types.ipynb
06-Built-in-Data-Structures.ipynb
06-Built-in-Data-Structures.ipynb
07-Control-Flow-Statements.ipynb
07-Control-Flow-Statements.ipynb
08-Defining-Functions.ipynb
08-Defining-Functions.ipynb
09-Errors-and-Exceptions.ipynb
09-Errors-and-Exceptions.ipynb
10-Iterators.ipynb
10-Iterators.ipynb
11-List-Comprehensions.ipynb
11-List-Comprehensions.ipynb
12-Generators.ipynb
12-Generators.ipynb
13-Modules-and-Packages.ipynb
13-Modules-and-Packages.ipynb
14-Strings-and-Regular-Expressions.ipynb
14-Strings-and-Regular-Expressions.ipynb
15-Preview-of-Data-Science-Tools.ipynb
15-Preview-of-Data-Science-Tools.ipynb
16-Further-Resources.ipynb
16-Further-Resources.ipynb
17-Figures.ipynb
17-Figures.ipynb
Index.ipynb
Index.ipynb
LICENSE
LICENSE
README.md
README.md
Repository files navigation
A Whirlwind Tour of Python
Jake VanderPlas, Summer 2016
This repository contains the Jupyter Notebooks behind my O'Reilly report,
A Whirlwind Tour of Python.
A Whirlwind Tour of Python is a fast-paced introduction to essential
components of the Python language for researchers and developers who are
already familiar with programming in another language.
The material is particularly aimed at those who wish to use Python for data
science and/or scientific programming, and in this capacity serves as an
introduction to my upcoming book,
The Python Data Science Handbook.
These notebooks are adapted from lectures and workshops I've given on these
topics at University of Washington and at various conferences, meetings, and
workshops around the world.
Index
Notebook Index
  1. Introduction
  2. How to Run Python Code
  3. Basic Python Syntax
  4. Python Semantics: Variables
  5. Python Semantics: Operators
  6. Built-In Scalar Types
  7. Built-In Data Structures
  8. Control Flow Statements
  9. Defining Functions
  10. Errors and Exceptions
  11. Iterators
  12. List Comprehensions
  13. Generators and Generator Expressions
  14. Modules and Packages
  15. Strings and Regular Expressions
  16. Preview of Data Science Tools
  17. Resources for Further Learning
  18. Appendix: Code To Reproduce Figures
License and Citation
This material is released under the "No Rights Reserved" CC0
license, and thus you are free to re-use, modify, build-on, and enhance
this material for any purpose.
Read more about CC0 here.
If you do use this material, I would appreciate attribution.
An attribution usually includes the title, author, publisher, and ISBN.
For example:
A Whirlwind Tour of Python by Jake VanderPlas (O’Reilly). Copyright 2016 O’Reilly Media, Inc., 978-1-491-96465-1.
About
The Jupyter Notebooks behind my OReilly report, "A Whirlwind Tour of Python"
Resources
Readme
CC0-1.0 license
Activity
Stars
0 stars
Watchers
1 watching
Forks
0 forks
Report repository
Releases
Packages
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
Latest commit
History
12 Commits
Folders and files
NameName
Last commit message
Last commit date
fig
fig
.gitignore
.gitignore
00-Introduction.ipynb
00-Introduction.ipynb
01-How-to-Run-Python-Code.ipynb
01-How-to-Run-Python-Code.ipynb
02-Basic-Python-Syntax.ipynb
02-Basic-Python-Syntax.ipynb
03-Semantics-Variables.ipynb
03-Semantics-Variables.ipynb
04-Semantics-Operators.ipynb
04-Semantics-Operators.ipynb
05-Built-in-Scalar-Types.ipynb
05-Built-in-Scalar-Types.ipynb
06-Built-in-Data-Structures.ipynb
06-Built-in-Data-Structures.ipynb
07-Control-Flow-Statements.ipynb
07-Control-Flow-Statements.ipynb
08-Defining-Functions.ipynb
08-Defining-Functions.ipynb
09-Errors-and-Exceptions.ipynb
09-Errors-and-Exceptions.ipynb
10-Iterators.ipynb
10-Iterators.ipynb
11-List-Comprehensions.ipynb
11-List-Comprehensions.ipynb
12-Generators.ipynb
12-Generators.ipynb
13-Modules-and-Packages.ipynb
13-Modules-and-Packages.ipynb
14-Strings-and-Regular-Expressions.ipynb
14-Strings-and-Regular-Expressions.ipynb
15-Preview-of-Data-Science-Tools.ipynb
15-Preview-of-Data-Science-Tools.ipynb
16-Further-Resources.ipynb
16-Further-Resources.ipynb
17-Figures.ipynb
17-Figures.ipynb
Index.ipynb
Index.ipynb
LICENSE
LICENSE
README.md
README.md
Repository files navigation
A Whirlwind Tour of Python
Jake VanderPlas, Summer 2016
This repository contains the Jupyter Notebooks behind my O'Reilly report,
A Whirlwind Tour of Python.
A Whirlwind Tour of Python is a fast-paced introduction to essential
components of the Python language for researchers and developers who are
already familiar with programming in another language.
The material is particularly aimed at those who wish to use Python for data
science and/or scientific programming, and in this capacity serves as an
introduction to my upcoming book,
The Python Data Science Handbook.
These notebooks are adapted from lectures and workshops I've given on these
topics at University of Washington and at various conferences, meetings, and
workshops around the world.
Index
Notebook Index
  1. Introduction
  2. How to Run Python Code
  3. Basic Python Syntax
  4. Python Semantics: Variables
  5. Python Semantics: Operators
  6. Built-In Scalar Types
  7. Built-In Data Structures
  8. Control Flow Statements
  9. Defining Functions
  10. Errors and Exceptions
  11. Iterators
  12. List Comprehensions
  13. Generators and Generator Expressions
  14. Modules and Packages
  15. Strings and Regular Expressions
  16. Preview of Data Science Tools
  17. Resources for Further Learning
  18. Appendix: Code To Reproduce Figures
License and Citation
This material is released under the "No Rights Reserved" CC0
license, and thus you are free to re-use, modify, build-on, and enhance
this material for any purpose.
Read more about CC0 here.
If you do use this material, I would appreciate attribution.
An attribution usually includes the title, author, publisher, and ISBN.
For example:
A Whirlwind Tour of Python by Jake VanderPlas (O’Reilly). Copyright 2016 O’Reilly Media, Inc., 978-1-491-96465-1.
About
The Jupyter Notebooks behind my OReilly report, "A Whirlwind Tour of Python"
Resources
Readme
CC0-1.0 license
Activity
Stars
0 stars
Watchers
1 watching
Forks
0 forks
Report repository
Releases
Packages
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
Latest commit
History
12 Commits
Folders and files
NameName
Last commit message
Last commit date
fig
fig
.gitignore
.gitignore
00-Introduction.ipynb
00-Introduction.ipynb
01-How-to-Run-Python-Code.ipynb
01-How-to-Run-Python-Code.ipynb
02-Basic-Python-Syntax.ipynb
02-Basic-Python-Syntax.ipynb
03-Semantics-Variables.ipynb
03-Semantics-Variables.ipynb
04-Semantics-Operators.ipynb
04-Semantics-Operators.ipynb
05-Built-in-Scalar-Types.ipynb
05-Built-in-Scalar-Types.ipynb
06-Built-in-Data-Structures.ipynb
06-Built-in-Data-Structures.ipynb
07-Control-Flow-Statements.ipynb
07-Control-Flow-Statements.ipynb
08-Defining-Functions.ipynb
08-Defining-Functions.ipynb
09-Errors-and-Exceptions.ipynb
09-Errors-and-Exceptions.ipynb
10-Iterators.ipynb
10-Iterators.ipynb
11-List-Comprehensions.ipynb
11-List-Comprehensions.ipynb
12-Generators.ipynb
12-Generators.ipynb
13-Modules-and-Packages.ipynb
13-Modules-and-Packages.ipynb
14-Strings-and-Regular-Expressions.ipynb
14-Strings-and-Regular-Expressions.ipynb
15-Preview-of-Data-Science-Tools.ipynb
15-Preview-of-Data-Science-Tools.ipynb
16-Further-Resources.ipynb
16-Further-Resources.ipynb
17-Figures.ipynb
17-Figures.ipynb
Index.ipynb
Index.ipynb
LICENSE
LICENSE
README.md
README.md
Repository files navigation
A Whirlwind Tour of Python
Jake VanderPlas, Summer 2016
This repository contains the Jupyter Notebooks behind my O'Reilly report,
A Whirlwind Tour of Python.
A Whirlwind Tour of Python is a fast-paced introduction to essential
components of the Python language for researchers and developers who are
already familiar with programming in another language.
The material is particularly aimed at those who wish to use Python for data
science and/or scientific programming, and in this capacity serves as an
introduction to my upcoming book,
The Python Data Science Handbook.
These notebooks are adapted from lectures and workshops I've given on these
topics at University of Washington and at various conferences, meetings, and
workshops around the world.
Index
Notebook Index
  1. Introduction
  2. How to Run Python Code
  3. Basic Python Syntax
  4. Python Semantics: Variables
  5. Python Semantics: Operators
  6. Built-In Scalar Types
  7. Built-In Data Structures
  8. Control Flow Statements
  9. Defining Functions
  10. Errors and Exceptions
  11. Iterators
  12. List Comprehensions
  13. Generators and Generator Expressions
  14. Modules and Packages
  15. Strings and Regular Expressions
  16. Preview of Data Science Tools
  17. Resources for Further Learning
  18. Appendix: Code To Reproduce Figures
License and Citation
This material is released under the "No Rights Reserved" CC0
license, and thus you are free to re-use, modify, build-on, and enhance
this material for any purpose.
Read more about CC0 here.
If you do use this material, I would appreciate attribution.
An attribution usually includes the title, author, publisher, and ISBN.
For example:
A Whirlwind Tour of Python by Jake VanderPlas (O’Reilly). Copyright 2016 O’Reilly Media, Inc., 978-1-491-96465-1.
About
The Jupyter Notebooks behind my OReilly report, "A Whirlwind Tour of Python"
Resources
Readme
CC0-1.0 license
Activity
Stars
0 stars
Watchers
1 watching
Forks
0 forks
Report repository
Releases
Packages
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");
}
} catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
BranchesTags
Latest commit
History
12 Commits
Folders and files
NameName
Last commit message
Last commit date
fig
fig
.gitignore
.gitignore
00-Introduction.ipynb
00-Introduction.ipynb
01-How-to-Run-Python-Code.ipynb
01-How-to-Run-Python-Code.ipynb
02-Basic-Python-Syntax.ipynb
02-Basic-Python-Syntax.ipynb
03-Semantics-Variables.ipynb
03-Semantics-Variables.ipynb
04-Semantics-Operators.ipynb
04-Semantics-Operators.ipynb
05-Built-in-Scalar-Types.ipynb
05-Built-in-Scalar-Types.ipynb
06-Built-in-Data-Structures.ipynb
06-Built-in-Data-Structures.ipynb
07-Control-Flow-Statements.ipynb
07-Control-Flow-Statements.ipynb
08-Defining-Functions.ipynb
08-Defining-Functions.ipynb
09-Errors-and-Exceptions.ipynb
09-Errors-and-Exceptions.ipynb
10-Iterators.ipynb
10-Iterators.ipynb
11-List-Comprehensions.ipynb
11-List-Comprehensions.ipynb
12-Generators.ipynb
12-Generators.ipynb
13-Modules-and-Packages.ipynb
13-Modules-and-Packages.ipynb
14-Strings-and-Regular-Expressions.ipynb
14-Strings-and-Regular-Expressions.ipynb
15-Preview-of-Data-Science-Tools.ipynb
15-Preview-of-Data-Science-Tools.ipynb
16-Further-Resources.ipynb
16-Further-Resources.ipynb
17-Figures.ipynb
17-Figures.ipynb
Index.ipynb
Index.ipynb
LICENSE
LICENSE
README.md
README.md
Repository files navigation
A Whirlwind Tour of Python
Jake VanderPlas, Summer 2016
This repository contains the Jupyter Notebooks behind my O'Reilly report,
A Whirlwind Tour of Python.
A Whirlwind Tour of Python is a fast-paced introduction to essential
components of the Python language for researchers and developers who are
already familiar with programming in another language.
The material is particularly aimed at those who wish to use Python for data
science and/or scientific programming, and in this capacity serves as an
introduction to my upcoming book,
The Python Data Science Handbook.
These notebooks are adapted from lectures and workshops I've given on these
topics at University of Washington and at various conferences, meetings, and
workshops around the world.
Index
Notebook Index
  1. Introduction
  2. How to Run Python Code
  3. Basic Python Syntax
  4. Python Semantics: Variables
  5. Python Semantics: Operators
  6. Built-In Scalar Types
  7. Built-In Data Structures
  8. Control Flow Statements
  9. Defining Functions
  10. Errors and Exceptions
  11. Iterators
  12. List Comprehensions
  13. Generators and Generator Expressions
  14. Modules and Packages
  15. Strings and Regular Expressions
  16. Preview of Data Science Tools
  17. Resources for Further Learning
  18. Appendix: Code To Reproduce Figures
License and Citation
This material is released under the "No Rights Reserved" CC0
license, and thus you are free to re-use, modify, build-on, and enhance
this material for any purpose.
Read more about CC0 here.
If you do use this material, I would appreciate attribution.
An attribution usually includes the title, author, publisher, and ISBN.
For example:
A Whirlwind Tour of Python by Jake VanderPlas (O’Reilly). Copyright 2016 O’Reilly Media, Inc., 978-1-491-96465-1.
About
The Jupyter Notebooks behind my OReilly report, "A Whirlwind Tour of Python"
Resources
Readme
CC0-1.0 license
Activity
Stars
0 stars
Watchers
1 watching
Forks
0 forks
Report repository
Releases
Packages
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
BranchesTags
Latest commit
History
12 Commits
Folders and files
NameName
Last commit message
Last commit date
fig
fig
.gitignore
.gitignore
00-Introduction.ipynb
00-Introduction.ipynb
01-How-to-Run-Python-Code.ipynb
01-How-to-Run-Python-Code.ipynb
02-Basic-Python-Syntax.ipynb
02-Basic-Python-Syntax.ipynb
03-Semantics-Variables.ipynb
03-Semantics-Variables.ipynb
04-Semantics-Operators.ipynb
04-Semantics-Operators.ipynb
05-Built-in-Scalar-Types.ipynb
05-Built-in-Scalar-Types.ipynb
06-Built-in-Data-Structures.ipynb
06-Built-in-Data-Structures.ipynb
07-Control-Flow-Statements.ipynb
07-Control-Flow-Statements.ipynb
08-Defining-Functions.ipynb
08-Defining-Functions.ipynb
09-Errors-and-Exceptions.ipynb
09-Errors-and-Exceptions.ipynb
10-Iterators.ipynb
10-Iterators.ipynb
11-List-Comprehensions.ipynb
11-List-Comprehensions.ipynb
12-Generators.ipynb
12-Generators.ipynb
13-Modules-and-Packages.ipynb
13-Modules-and-Packages.ipynb
14-Strings-and-Regular-Expressions.ipynb
14-Strings-and-Regular-Expressions.ipynb
15-Preview-of-Data-Science-Tools.ipynb
15-Preview-of-Data-Science-Tools.ipynb
16-Further-Resources.ipynb
16-Further-Resources.ipynb
17-Figures.ipynb
17-Figures.ipynb
Index.ipynb
Index.ipynb
LICENSE
LICENSE
README.md
README.md
Repository files navigation
A Whirlwind Tour of Python
Jake VanderPlas, Summer 2016
This repository contains the Jupyter Notebooks behind my O'Reilly report,
A Whirlwind Tour of Python.
A Whirlwind Tour of Python is a fast-paced introduction to essential
components of the Python language for researchers and developers who are
already familiar with programming in another language.
The material is particularly aimed at those who wish to use Python for data
science and/or scientific programming, and in this capacity serves as an
introduction to my upcoming book,
The Python Data Science Handbook.
These notebooks are adapted from lectures and workshops I've given on these
topics at University of Washington and at various conferences, meetings, and
workshops around the world.
Index
Notebook Index
  1. Introduction
  2. How to Run Python Code
  3. Basic Python Syntax
  4. Python Semantics: Variables
  5. Python Semantics: Operators
  6. Built-In Scalar Types
  7. Built-In Data Structures
  8. Control Flow Statements
  9. Defining Functions
  10. Errors and Exceptions
  11. Iterators
  12. List Comprehensions
  13. Generators and Generator Expressions
  14. Modules and Packages
  15. Strings and Regular Expressions
  16. Preview of Data Science Tools
  17. Resources for Further Learning
  18. Appendix: Code To Reproduce Figures
License and Citation
This material is released under the "No Rights Reserved" CC0
license, and thus you are free to re-use, modify, build-on, and enhance
this material for any purpose.
Read more about CC0 here.
If you do use this material, I would appreciate attribution.
An attribution usually includes the title, author, publisher, and ISBN.
For example:
A Whirlwind Tour of Python by Jake VanderPlas (O’Reilly). Copyright 2016 O’Reilly Media, Inc., 978-1-491-96465-1.
About
The Jupyter Notebooks behind my OReilly report, "A Whirlwind Tour of Python"
Resources
Readme
CC0-1.0 license
Activity
Stars
0 stars
Watchers
1 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages