ga_tag.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [],
   "source": [
    "ga_tag = open(\"ga_tag.txt\", \"r\").read().strip()\n",
    "ga_tag_lines = ga_tag.split(\"\\n\")\n",
    "ga_tag_lines = [f\"{line}\\n\" for line in ga_tag_lines]\n",
    "ga_tag_lines[0] = \"        \" + ga_tag_lines[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [],
   "source": [
    "from os import listdir\n",
    "from os.path import isfile, join\n",
    "path = \"_book/contents\"\n",
    "onlyfiles = [f for f in listdir(path) if isfile(join(path, f))]\n",
    "onlyfiles = [f\"{path}/{file}\" for file in onlyfiles]\n",
    "onlyfiles.append(\"_book/index.html\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "_book/contents/5.1.2-matrices.html\n",
      "_book/contents/2.3-types-of-questions.html\n",
      "_book/contents/5.1.1-vectors.html\n",
      "_book/contents/4.3.3-other-resources.html\n",
      "_book/contents/5.1-algebra-and-calculus.html\n",
      "_book/contents/6.1-algorithms.html\n",
      "_book/contents/8.1.1-overview:-basic-algorithm.html\n",
      "_book/contents/8.2.3-reinforcement-learning.html\n",
      "_book/contents/chapter-4.-where-to-start.html\n",
      "_book/contents/5.1.3-dimensionality-reduction.html\n",
      "_book/contents/3.1.1-base-salary.html\n",
      "_book/contents/4.3.1-courses.html\n",
      "_book/contents/part-i.-overview.html\n",
      "_book/contents/3.2.1-compensation-expectations.html\n",
      "_book/contents/1.1.3-production.html\n",
      "_book/contents/3.2-negotiation.html\n",
      "_book/contents/1.2.2-enterprise-vs.-consumer-products.html\n",
      "_book/contents/5.2.1-probability.html\n",
      "_book/contents/0-about-the-author.html\n",
      "_book/contents/1.1.2.2-research-scientist-vs.-research-engineer.html\n",
      "_book/contents/b.-building-your-network.html\n",
      "_book/contents/2.3.2-questions-to-ask-your-interviewers.html\n",
      "_book/contents/4.3.2-books-&-articles.html\n",
      "_book/contents/8.2.1-natural-language-processing.html\n",
      "_book/contents/2.1-understanding-the-interviewers’-mindset.html\n",
      "_book/contents/2.1.2-how-companies-source-candidates.html\n",
      "_book/contents/1.1.1-working-in-research-vs.-workingin-production.html\n",
      "_book/contents/1.2.1-applications-companies-vs.-tooling-companies.html\n",
      "_book/contents/4.4-do’s-and-don’ts-for-ml-interviews.html\n",
      "_book/contents/a.-for-interviewers.html\n",
      "_book/contents/chapter-6.-computer-science.html\n",
      "_book/contents/5.2.1.2-questions.html\n",
      "_book/contents/2.1.1.3-what-exactly-is-culture-fit.html\n",
      "_book/contents/chapter-1.-ml-jobs.html\n",
      "_book/contents/2.6-understanding-your-odds.html\n",
      "_book/contents/0-gaming-the-interview-process.html\n",
      "_book/contents/0-about-the-questions.html\n",
      "_book/contents/8.3-training-neural-networks.html\n",
      "_book/contents/2.1.1.5-do-i-need-a-ph.d.-to-work-in-machine-learning.html\n",
      "_book/contents/4.2-how-other-people-did-it.html\n",
      "_book/contents/chapter-3.-after-an-offer.html\n",
      "_book/contents/2.3.3-bad-interview-questions.html\n",
      "_book/contents/2.2.2-alternative-interview-formats.html\n",
      "_book/contents/2.1.1-what-companies-want-from-candidates.html\n",
      "_book/contents/1.1.3.3-machine-learning-engineer-vs.-data-scientist.html\n",
      "_book/contents/1.1.2-research.html\n",
      "_book/contents/2.2.1-common-interview-formats.html\n",
      "_book/contents/1.1.3.4-other-technical-roles-in-ml-production.html\n",
      "_book/contents/2.1.1.2-non-technical-skills.html\n",
      "_book/contents/chapter-2.-machine-learning-interview-process.html\n",
      "_book/contents/0-target-audience.html\n",
      "_book/contents/appendix.html\n",
      "_book/contents/2.3.1.1-background-and-resume.html\n",
      "_book/contents/3.1.3-bonuses.html\n",
      "_book/contents/2.1.1.1-technical-skills.html\n",
      "_book/contents/4.4.1-do’s.html\n",
      "_book/contents/2.2-interview-pipeline.html\n",
      "_book/contents/8.2.2-computer-vision.html\n",
      "_book/contents/1.2.3-startups-or-big-companies.html\n",
      "_book/contents/2.2.3-interviews-at-big-companies-vs.-at-small-companies.html\n",
      "_book/contents/2.3.1.4-personality.html\n",
      "_book/contents/chapter-5.-math.html\n",
      "_book/contents/6.3-data.html\n",
      "_book/contents/1.1.3.2-machine-learning-engineer-vs.-software-engineer.html\n",
      "_book/contents/8.1-classical-machine-learning.html\n",
      "_book/contents/8.2-deep-learning-architectures-and-applications.html\n",
      "_book/contents/2.3.1.3-communication.html\n",
      "_book/contents/0-about-the-answers.html\n",
      "_book/contents/chapter-8.-machine-learning-algorithms.html\n",
      "_book/contents/5.2-probability-and-statistics.html\n",
      "_book/contents/0-acknowledgments.html\n",
      "_book/contents/7.3-objective-functions,-metrics,-and-evaluation.html\n",
      "_book/contents/3.1.4-compensation-packages-at-different-levels.html\n",
      "_book/contents/2.3.1.2-interests.html\n",
      "_book/contents/4.4.2-don’ts.html\n",
      "_book/contents/5.1.4-calculus-and-convex-optimization.html\n",
      "_book/contents/1.1.3.1-production-cycle.html\n",
      "_book/contents/5.2.2-stats.html\n",
      "_book/contents/1.1.3.5-understanding-roles-and-titles.html\n",
      "_book/contents/2.2.4-interviews-for-internships-vs.-for-full-time-positions.html\n",
      "_book/contents/2.1.1.4-junior-vs-senior-roles.html\n",
      "_book/contents/2.3.1-behavioral-questions.html\n",
      "_book/contents/1.2-types-of-companies.html\n",
      "_book/contents/1.1.2.1-research-vs.-applied-research.html\n",
      "_book/contents/1.1-different-ml-roles.html\n",
      "_book/contents/4.1-how-long-do-i-need-for-my-job-search.html\n",
      "_book/contents/2.1.3-what-signals-companies-look-for-in-candidates.html\n",
      "_book/contents/the-zen-of-interviews.html\n",
      "_book/contents/part-ii.-questions.html\n",
      "_book/contents/chapter-7.-machine-learning-workflows.html\n",
      "_book/contents/4.3-resources.html\n",
      "_book/contents/3.3-career-progression.html\n",
      "_book/contents/8.1.2-questions.html\n",
      "_book/contents/7.2-sampling-and-creating-training-data.html\n",
      "_book/contents/8.2.4-other.html\n",
      "_book/contents/3.1.2-equity-grants.html\n",
      "_book/contents/6.3.1-data-structures.html\n",
      "_book/contents/6.2-complexity-and-numerical-analysis.html\n",
      "_book/contents/2.4-red-flags.html\n",
      "_book/contents/notation.html\n",
      "_book/contents/3.1-compensation-package.html\n",
      "_book/contents/7.1-basics.html\n",
      "_book/contents/2.5-timeline.html\n",
      "_book/contents/5.2.1.1-basic-concepts-to-review.html\n",
      "_book/index.html\n"
     ]
    }
   ],
   "source": [
    "n = len(\" · HonKit</title>\")\n",
    "for file in onlyfiles:\n",
    "    print(file)\n",
    "    if not file.endswith(\"html\"):\n",
    "        print(file)\n",
    "        continue\n",
    "    correct_lines = []\n",
    "    prev = None\n",
    "    with open(file, \"r\") as f:\n",
    "        lines = f.readlines()\n",
    "        for i, line in enumerate(lines):\n",
    "            if prev == \"<head>\":\n",
    "                correct_lines.extend(ga_tag_lines)\n",
    "            if line.strip().endswith(\" · HonKit</title>\"):\n",
    "                line = line[:-n-1] + \" · MLIB</title>\\n\"\n",
    "                correct_lines.append(line)\n",
    "                break\n",
    "            correct_lines.append(line)\n",
    "            prev = line.strip()\n",
    "        correct_lines.extend(lines[i + 1:])\n",
    "    with open(file, \"w\") as f:\n",
    "        text = \"\".join(correct_lines)\n",
    "        f.write(text)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "```\n",
    "git checkout html\n",
    "rm -rf *\n",
    "git checkout master -- _book\n",
    "mv _book/* .\n",
    "rm -rf _book\n",
    "git add -A && git commit -am \"Update html file\" && git push\n",
    "```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "(function(i,s,o,g,r,a,m){i['GoogleAnalyticsObject']=r;i[r]=i[r]||function(){\n",
    "(i[r].q=i[r].q||[]).push(arguments)},i[r].l=1*new Date();a=s.createElement(o),\n",
    "m=s.getElementsByTagName(o)[0];a.async=1;a.src=g;m.parentNode.insertBefore(a,m)\n",
    "})(window,document,'script','https://www.google-analytics.com/analytics.js','ga');\n",
    "\n",
    "ga('create', 'UA-103070243-5', 'auto');\n",
    "ga('send', 'pageview');"
   ]
  }
 ],
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