When I am using an online Jupyter notebooks (e.g., DeepLearning.AI, Colab, Kaggle, etc.), I usually prefer to be able to reproduce it locally. I want this mainly so I can easily take snippets of Python code and incorporate them into a proper script or application outside of a notebook.
The hard part is knowing the proper version of Python and all the packages that the notebook uses. When using an online notebook, this isn't always obvious. Python, is infamous for its ability to
| @media -moz-pref('browser.nova.enabled') { | |
| :root { | |
| --chrome-content-separator-color: unset !important; | |
| --chrome-window-gap: 0px !important; | |
| } | |
| #browser { | |
| padding: 0 !important; | |
| border-radius: 0 !important; | |
| } |
| wget -c --no-cookies --no-check-certificate --header "Cookie: oraclelicense=accept-securebackup-cookie" https://download.oracle.com/otn-pub/java/jdk/12.0.2+10/e482c34c86bd4bf8b56c0b35558996b9/jdk-12.0.2_linux-x64_bin.tar.gz |
| defmodule TestDefp do | |
| defmacro __using__(_) do | |
| quote do | |
| import Kernel, except: [defp: 2] | |
| end | |
| end | |
| # Let's redefine `defp/2` so that if MIX_ENV is `test`, the function will be | |
| # defined with `def/2` instead of `defp/2`. | |
| defmacro defp(fun, body) do |
| # Owning binary : TextComposerRuntime | |
| # Status : NEW in iOS 27 (not in 26.5.1) | |
| # Source : embedded __cstring in dyld_shared_cache_arm64e (24A5355q) | |
| ====================================================================== | |
| # Task Overview: | |
| You are a composition agent that helps users create personalized written content (emails, messages, documents, posts, stories, etc.) | |
| As an Assistant, you must: | |
| 1. Analyze the request to determine if you have sufficient information |
| "rate" "1000000" | |
| alias +teamid "cl_teamid_overhead_fade_near_crosshair 0;cl_teamid_overhead_mode 3;+use;+voicerecord" | |
| alias -teamid "cl_teamid_overhead_fade_near_crosshair 1;cl_teamid_overhead_mode 1;-use;-voicerecord" | |
| bind "alt" "+teamid" | |
| // radar | |
| "cl_hud_color" "1" | |
| "cl_hud_radar_scale" "1" | |
| "cl_radar_always_centered" "true" |
| import math | |
| # ============================================================ | |
| # Geometry utilities | |
| # ============================================================ | |
| def circle_circle_intersection(c1, r1, c2, r2): | |
| """Return the intersection points of two circles.""" | |
| dx = c2[0] - c1[0]; dy = c2[1] - c1[1] | |
| d = math.hypot(dx, dy) | |
| if d > r1 + r2 or d < abs(r1 - r2) or d == 0: |
