Repository files navigation

Python-Lectures

Note: Andreas Ernst has improvised and updated the repo to python 3, Link

Introduction

Python is a modern, robust, high level programming language. It is very easy to pick up even if you are completely new to programming.

Installation

Mac OS X and Linux comes pre installed with python. Windows users can download python from https://www.python.org/downloads/ .

To install IPython run,

$ pip install ipython[all]

This will install all the necessary dependencies for the notebook, qtconsole, tests etc.

Installation from unofficial distributions

Installing all the necessary libraries might prove troublesome. Anaconda and Canopy comes pre packaged with all the necessary python libraries and also IPython.

Anaconda

Download Anaconda from https://www.continuum.io/downloads

Anaconda is completely free and includes more than 300 python packages. Both python 2.7 and 3.4 options are available.

Canopy

Download Canopy from https://store.enthought.com/downloads/#default

Canopy has a premium version which offers 300+ python packages. But the free version works just fine. Canopy as of now supports only 2.7 but it comes with its own text editor and IPython environment.

Launching IPython Notebook

From the terminal

ipython notebook

In Canopy and Anaconda, Open the respective terminals and execute the above.

How to learn from this resource?

You can download the pdf copy from here : Get Started with Python

It is better to download all the ipython notebooks from this repository https://github.com/rajathkumarmp/Python-Lectures and learn it on the notebook itself rather than having to refer to a pdf.

Launch ipython notebook from the folder which contains the notebooks. Open each one of them

Cell > All Output > Clear

This will clear all the outputs and now you can understand each statement and learn interactively.

Table of contents

00 - Introduction and Installation

01 - Variable, Operators and Built-in Functions

02 - Print Statement, Precision and FieldWidth

03 - Lists, Tuples and Sets

04 - Strings and Dictionaries

05 - Control Flow Statements

06 - Functions

07 - Classes

These are online read-only versions.

License

This work is licensed under the Creative Commons Attribution 3.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/3.0/

About

IPython Notebooks to learn Python

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

Repository files navigation

Python-Lectures

Note: Andreas Ernst has improvised and updated the repo to python 3, Link

Introduction

Python is a modern, robust, high level programming language. It is very easy to pick up even if you are completely new to programming.

Installation

Mac OS X and Linux comes pre installed with python. Windows users can download python from https://www.python.org/downloads/ .

To install IPython run,

$ pip install ipython[all]

This will install all the necessary dependencies for the notebook, qtconsole, tests etc.

Installation from unofficial distributions

Installing all the necessary libraries might prove troublesome. Anaconda and Canopy comes pre packaged with all the necessary python libraries and also IPython.

Anaconda

Download Anaconda from https://www.continuum.io/downloads

Anaconda is completely free and includes more than 300 python packages. Both python 2.7 and 3.4 options are available.

Canopy

Download Canopy from https://store.enthought.com/downloads/#default

Canopy has a premium version which offers 300+ python packages. But the free version works just fine. Canopy as of now supports only 2.7 but it comes with its own text editor and IPython environment.

Launching IPython Notebook

From the terminal

ipython notebook

In Canopy and Anaconda, Open the respective terminals and execute the above.

How to learn from this resource?

You can download the pdf copy from here : Get Started with Python

It is better to download all the ipython notebooks from this repository https://github.com/rajathkumarmp/Python-Lectures and learn it on the notebook itself rather than having to refer to a pdf.

Launch ipython notebook from the folder which contains the notebooks. Open each one of them

Cell > All Output > Clear

This will clear all the outputs and now you can understand each statement and learn interactively.

Table of contents

00 - Introduction and Installation

01 - Variable, Operators and Built-in Functions

02 - Print Statement, Precision and FieldWidth

03 - Lists, Tuples and Sets

04 - Strings and Dictionaries

05 - Control Flow Statements

06 - Functions

07 - Classes

These are online read-only versions.

License

This work is licensed under the Creative Commons Attribution 3.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/3.0/

About

IPython Notebooks to learn Python

Resources

Stars

0 stars

Watchers

0 watching

Forks

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

Repository files navigation

Python-Lectures

Note: Andreas Ernst has improvised and updated the repo to python 3, Link

Introduction

Python is a modern, robust, high level programming language. It is very easy to pick up even if you are completely new to programming.

Installation

Mac OS X and Linux comes pre installed with python. Windows users can download python from https://www.python.org/downloads/ .

To install IPython run,

$ pip install ipython[all]

This will install all the necessary dependencies for the notebook, qtconsole, tests etc.

Installation from unofficial distributions

Installing all the necessary libraries might prove troublesome. Anaconda and Canopy comes pre packaged with all the necessary python libraries and also IPython.

Anaconda

Download Anaconda from https://www.continuum.io/downloads

Anaconda is completely free and includes more than 300 python packages. Both python 2.7 and 3.4 options are available.

Canopy

Download Canopy from https://store.enthought.com/downloads/#default

Canopy has a premium version which offers 300+ python packages. But the free version works just fine. Canopy as of now supports only 2.7 but it comes with its own text editor and IPython environment.

Launching IPython Notebook

From the terminal

ipython notebook

In Canopy and Anaconda, Open the respective terminals and execute the above.

How to learn from this resource?

You can download the pdf copy from here : Get Started with Python

It is better to download all the ipython notebooks from this repository https://github.com/rajathkumarmp/Python-Lectures and learn it on the notebook itself rather than having to refer to a pdf.

Launch ipython notebook from the folder which contains the notebooks. Open each one of them

Cell > All Output > Clear

This will clear all the outputs and now you can understand each statement and learn interactively.

Table of contents

00 - Introduction and Installation

01 - Variable, Operators and Built-in Functions

02 - Print Statement, Precision and FieldWidth

03 - Lists, Tuples and Sets

04 - Strings and Dictionaries

05 - Control Flow Statements

06 - Functions

07 - Classes

These are online read-only versions.

License

This work is licensed under the Creative Commons Attribution 3.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/3.0/

About

IPython Notebooks to learn Python

Resources

Stars

0 stars

Watchers

0 watching

Forks

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

Repository files navigation

Python-Lectures

Note: Andreas Ernst has improvised and updated the repo to python 3, Link

Introduction

Python is a modern, robust, high level programming language. It is very easy to pick up even if you are completely new to programming.

Installation

Mac OS X and Linux comes pre installed with python. Windows users can download python from https://www.python.org/downloads/ .

To install IPython run,

$ pip install ipython[all]

This will install all the necessary dependencies for the notebook, qtconsole, tests etc.

Installation from unofficial distributions

Installing all the necessary libraries might prove troublesome. Anaconda and Canopy comes pre packaged with all the necessary python libraries and also IPython.

Anaconda

Download Anaconda from https://www.continuum.io/downloads

Anaconda is completely free and includes more than 300 python packages. Both python 2.7 and 3.4 options are available.

Canopy

Download Canopy from https://store.enthought.com/downloads/#default

Canopy has a premium version which offers 300+ python packages. But the free version works just fine. Canopy as of now supports only 2.7 but it comes with its own text editor and IPython environment.

Launching IPython Notebook

From the terminal

ipython notebook

In Canopy and Anaconda, Open the respective terminals and execute the above.

How to learn from this resource?

You can download the pdf copy from here : Get Started with Python

It is better to download all the ipython notebooks from this repository https://github.com/rajathkumarmp/Python-Lectures and learn it on the notebook itself rather than having to refer to a pdf.

Launch ipython notebook from the folder which contains the notebooks. Open each one of them

Cell > All Output > Clear

This will clear all the outputs and now you can understand each statement and learn interactively.

Table of contents

00 - Introduction and Installation

01 - Variable, Operators and Built-in Functions

02 - Print Statement, Precision and FieldWidth

03 - Lists, Tuples and Sets

04 - Strings and Dictionaries

05 - Control Flow Statements

06 - Functions

07 - Classes

These are online read-only versions.

License

This work is licensed under the Creative Commons Attribution 3.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/3.0/

About

IPython Notebooks to learn Python

Resources

Stars

0 stars

Watchers

0 watching

Forks

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

Repository files navigation

Python-Lectures

Note: Andreas Ernst has improvised and updated the repo to python 3, Link

Introduction

Python is a modern, robust, high level programming language. It is very easy to pick up even if you are completely new to programming.

Installation

Mac OS X and Linux comes pre installed with python. Windows users can download python from https://www.python.org/downloads/ .

To install IPython run,

$ pip install ipython[all]

This will install all the necessary dependencies for the notebook, qtconsole, tests etc.

Installation from unofficial distributions

Installing all the necessary libraries might prove troublesome. Anaconda and Canopy comes pre packaged with all the necessary python libraries and also IPython.

Anaconda

Download Anaconda from https://www.continuum.io/downloads

Anaconda is completely free and includes more than 300 python packages. Both python 2.7 and 3.4 options are available.

Canopy

Download Canopy from https://store.enthought.com/downloads/#default

Canopy has a premium version which offers 300+ python packages. But the free version works just fine. Canopy as of now supports only 2.7 but it comes with its own text editor and IPython environment.

Launching IPython Notebook

From the terminal

ipython notebook

In Canopy and Anaconda, Open the respective terminals and execute the above.

How to learn from this resource?

You can download the pdf copy from here : Get Started with Python

It is better to download all the ipython notebooks from this repository https://github.com/rajathkumarmp/Python-Lectures and learn it on the notebook itself rather than having to refer to a pdf.

Launch ipython notebook from the folder which contains the notebooks. Open each one of them

Cell > All Output > Clear

This will clear all the outputs and now you can understand each statement and learn interactively.

Table of contents

00 - Introduction and Installation

01 - Variable, Operators and Built-in Functions

02 - Print Statement, Precision and FieldWidth

03 - Lists, Tuples and Sets

04 - Strings and Dictionaries

05 - Control Flow Statements

06 - Functions

07 - Classes

These are online read-only versions.

License

This work is licensed under the Creative Commons Attribution 3.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/3.0/

About

IPython Notebooks to learn Python

Resources

Stars

0 stars

Watchers

0 watching

Forks

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

Repository files navigation

Python-Lectures

Note: Andreas Ernst has improvised and updated the repo to python 3, Link

Introduction

Python is a modern, robust, high level programming language. It is very easy to pick up even if you are completely new to programming.

Installation

Mac OS X and Linux comes pre installed with python. Windows users can download python from https://www.python.org/downloads/ .

To install IPython run,

$ pip install ipython[all]

This will install all the necessary dependencies for the notebook, qtconsole, tests etc.

Installation from unofficial distributions

Installing all the necessary libraries might prove troublesome. Anaconda and Canopy comes pre packaged with all the necessary python libraries and also IPython.

Anaconda

Download Anaconda from https://www.continuum.io/downloads

Anaconda is completely free and includes more than 300 python packages. Both python 2.7 and 3.4 options are available.

Canopy

Download Canopy from https://store.enthought.com/downloads/#default

Canopy has a premium version which offers 300+ python packages. But the free version works just fine. Canopy as of now supports only 2.7 but it comes with its own text editor and IPython environment.

Launching IPython Notebook

From the terminal

ipython notebook

In Canopy and Anaconda, Open the respective terminals and execute the above.

How to learn from this resource?

You can download the pdf copy from here : Get Started with Python

It is better to download all the ipython notebooks from this repository https://github.com/rajathkumarmp/Python-Lectures and learn it on the notebook itself rather than having to refer to a pdf.

Launch ipython notebook from the folder which contains the notebooks. Open each one of them

Cell > All Output > Clear

This will clear all the outputs and now you can understand each statement and learn interactively.

Table of contents

00 - Introduction and Installation

01 - Variable, Operators and Built-in Functions

02 - Print Statement, Precision and FieldWidth

03 - Lists, Tuples and Sets

04 - Strings and Dictionaries

05 - Control Flow Statements

06 - Functions

07 - Classes

These are online read-only versions.

License

This work is licensed under the Creative Commons Attribution 3.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/3.0/

About

IPython Notebooks to learn Python

Resources

Stars

0 stars

Watchers

0 watching

Forks

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

Repository files navigation

Python-Lectures

Note: Andreas Ernst has improvised and updated the repo to python 3, Link

Introduction

Python is a modern, robust, high level programming language. It is very easy to pick up even if you are completely new to programming.

Installation

Mac OS X and Linux comes pre installed with python. Windows users can download python from https://www.python.org/downloads/ .

To install IPython run,

$ pip install ipython[all]

This will install all the necessary dependencies for the notebook, qtconsole, tests etc.

Installation from unofficial distributions

Installing all the necessary libraries might prove troublesome. Anaconda and Canopy comes pre packaged with all the necessary python libraries and also IPython.

Anaconda

Download Anaconda from https://www.continuum.io/downloads

Anaconda is completely free and includes more than 300 python packages. Both python 2.7 and 3.4 options are available.

Canopy

Download Canopy from https://store.enthought.com/downloads/#default

Canopy has a premium version which offers 300+ python packages. But the free version works just fine. Canopy as of now supports only 2.7 but it comes with its own text editor and IPython environment.

Launching IPython Notebook

From the terminal

ipython notebook

In Canopy and Anaconda, Open the respective terminals and execute the above.

How to learn from this resource?

You can download the pdf copy from here : Get Started with Python

It is better to download all the ipython notebooks from this repository https://github.com/rajathkumarmp/Python-Lectures and learn it on the notebook itself rather than having to refer to a pdf.

Launch ipython notebook from the folder which contains the notebooks. Open each one of them

Cell > All Output > Clear

This will clear all the outputs and now you can understand each statement and learn interactively.

Table of contents

00 - Introduction and Installation

01 - Variable, Operators and Built-in Functions

02 - Print Statement, Precision and FieldWidth

03 - Lists, Tuples and Sets

04 - Strings and Dictionaries

05 - Control Flow Statements

06 - Functions

07 - Classes

These are online read-only versions.

License

This work is licensed under the Creative Commons Attribution 3.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/3.0/

About

IPython Notebooks to learn Python

Resources

Stars

0 stars

Watchers

0 watching

Forks

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

Repository files navigation

Python-Lectures

Note: Andreas Ernst has improvised and updated the repo to python 3, Link

Introduction

Python is a modern, robust, high level programming language. It is very easy to pick up even if you are completely new to programming.

Installation

Mac OS X and Linux comes pre installed with python. Windows users can download python from https://www.python.org/downloads/ .

To install IPython run,

$ pip install ipython[all]

This will install all the necessary dependencies for the notebook, qtconsole, tests etc.

Installation from unofficial distributions

Installing all the necessary libraries might prove troublesome. Anaconda and Canopy comes pre packaged with all the necessary python libraries and also IPython.

Anaconda

Download Anaconda from https://www.continuum.io/downloads

Anaconda is completely free and includes more than 300 python packages. Both python 2.7 and 3.4 options are available.

Canopy

Download Canopy from https://store.enthought.com/downloads/#default

Canopy has a premium version which offers 300+ python packages. But the free version works just fine. Canopy as of now supports only 2.7 but it comes with its own text editor and IPython environment.

Launching IPython Notebook

From the terminal

ipython notebook

In Canopy and Anaconda, Open the respective terminals and execute the above.

How to learn from this resource?

You can download the pdf copy from here : Get Started with Python

It is better to download all the ipython notebooks from this repository https://github.com/rajathkumarmp/Python-Lectures and learn it on the notebook itself rather than having to refer to a pdf.

Launch ipython notebook from the folder which contains the notebooks. Open each one of them

Cell > All Output > Clear

This will clear all the outputs and now you can understand each statement and learn interactively.

Table of contents

00 - Introduction and Installation

01 - Variable, Operators and Built-in Functions

02 - Print Statement, Precision and FieldWidth

03 - Lists, Tuples and Sets

04 - Strings and Dictionaries

05 - Control Flow Statements

06 - Functions

07 - Classes

These are online read-only versions.

License

This work is licensed under the Creative Commons Attribution 3.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/3.0/

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IPython Notebooks to learn Python

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