{ "nbformat": 4, "nbformat_minor": 0, "metadata": { "colab": { "name": "Untitled25.ipynb", "provenance": [], "authorship_tag": "ABX9TyMioTaWOtZ3dcIebltCT4IN", "include_colab_link": true }, "kernelspec": { "name": "python3", "display_name": "Python 3" }, "language_info": { "name": "python" } }, "cells": [ { "cell_type": "markdown", "metadata": { "id": "view-in-github", "colab_type": "text" }, "source": [ "\"Open" ] }, { "cell_type": "code", "metadata": { "id": "kT4wyWuy2szs" }, "source": [ "import os\n", "import pandas as pd" ], "execution_count": 1, "outputs": [] }, { "cell_type": "code", "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "9J62Uh4H2Y9g", "outputId": "0ac3147d-fdb4-4b9c-d96b-4da334730a93" }, "source": [ "!git clone https://github.com/icculp/Learning-Bitcoin-from-the-Command-Line.git" ], "execution_count": 2, "outputs": [ { "output_type": "stream", "text": [ "Cloning into 'Learning-Bitcoin-from-the-Command-Line'...\n", "remote: Enumerating objects: 6637, done.\u001b[K\n", "remote: Counting objects: 100% (241/241), done.\u001b[K\n", "remote: Compressing objects: 100% (199/199), done.\u001b[K\n", "remote: Total 6637 (delta 110), reused 82 (delta 42), pack-reused 6396\u001b[K\n", "Receiving objects: 100% (6637/6637), 7.53 MiB | 18.46 MiB/s, done.\n", "Resolving deltas: 100% (4069/4069), done.\n" ], "name": "stdout" } ] }, { "cell_type": "code", "metadata": { "id": "k_g4-Fvn2yPy" }, "source": [ "def count_words():\n", " \"\"\" Counts words ignoring code blocks and digits \"\"\"\n", " columns=['Chapter', 'Word Count']\n", " counts = []\n", " repo_path = '/content/Learning-Bitcoin-from-the-Command-Line/'\n", " for chapter in os.listdir(repo_path):\n", " if not chapter.endswith('.md'):\n", " continue\n", " count = 0\n", " flag = 0 # ignores words between ``` code markdown\n", " with open(repo_path + chapter) as ch:\n", " for line in ch.readlines():\n", " if flag:\n", " if '```' in line:\n", " flag = 0\n", " continue\n", " continue\n", " if '```' in line:\n", " flag = 1\n", " continue\n", " for word in line.split():\n", " if any(ch.isdigit() for ch in word):\n", " continue\n", " count += 1\n", " counts.append((chapter, count))\n", " # print(chapter, count)\n", " return pd.DataFrame(counts, columns=columns)" ], "execution_count": 3, "outputs": [] }, { "cell_type": "code", "metadata": { "id": "2-pkEaYF3Uxm" }, "source": [ "chapter_word_counts = count_words()\n", "chapter_word_counts.sort_values(by=['Chapter'], inplace=True)" ], "execution_count": 4, "outputs": [] }, { "cell_type": "code", "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 631 }, "id": "IPkG4oQJ6f1e", "outputId": "eea2f4b6-c3d3-48b5-dc62-97885c18d48d" }, "source": [ "from google.colab import data_table\n", "data_table.DataTable(chapter_word_counts, include_index=False)" ], "execution_count": 5, "outputs": [ { "output_type": "execute_result", "data": { "application/vnd.google.colaboratory.module+javascript": "\n import 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ChapterWord Count
4401_0_Introduction.md1128
6901_1_Introducing_Bitcoin.md2784
9202_0_Setting_Up_a_Bitcoin-Core_VPS.md221
3302_1_Setting_Up_a_Bitcoin-Core_VPS_with_StackS...1937
6602_2_Setting_Up_Bitcoin_Core_Other.md245
.........
45CONTRIBUTING.md555
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0README.md1366
52TODO-30.md122
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