{"id":3570,"date":"2024-03-25T00:50:27","date_gmt":"2024-03-24T16:50:27","guid":{"rendered":"http:\/\/www.ccwifi.cc\/blogs\/?p=3570"},"modified":"2024-03-25T00:50:27","modified_gmt":"2024-03-24T16:50:27","slug":"hashcat%e6%80%8e%e4%b9%88%e8%ae%be%e7%bd%ae%e4%b8%ad%e6%96%87%e6%9c%89%e8%b6%a3%e7%9a%84%e5%bc%80%e6%ba%90%e6%9c%883886","status":"publish","type":"post","link":"https:\/\/www.ccwifi.cc\/blogs\/2024\/03\/25\/hashcat%e6%80%8e%e4%b9%88%e8%ae%be%e7%bd%ae%e4%b8%ad%e6%96%87%e6%9c%89%e8%b6%a3%e7%9a%84%e5%bc%80%e6%ba%90%e6%9c%883886\/","title":{"rendered":"hashcat\u600e\u4e48\u8bbe\u7f6e\u4e2d\u6587 \u6709\u8da3\u7684\u5f00\u6e90\u6708\u520a\uff5cHelloGitHub \u7b2c 72 \u671f"},"content":{"rendered":"
\n

\u5728\u7ebfwifi\u8dd1\u5305 \u91d1\u521a\u5305\u8dd1\u5305 cap\u8dd1\u5305 hccapx ewsa\u5728\u7ebf \u5c31\u6765 \u63e1\u624b\u5305\u8dd1\u5305<\/a><\/strong><\/p>\n

\u5404\u4f4d\u597d \u53c8\u89c1\u9762\u4e86 \u6211\u662f\u66f9\u64cd \u4eca\u5929\u7ed9\u5927\u5bb6\u5e26\u6765\u4e00\u7bc7\u65b0\u7684\u6559\u7a0b<\/p>\n

\u5e0c\u671b\u5404\u4f4d\u7ec6\u5fc3\u5b66\u4e60 \u4f4e\u8c03\u7528\u7f51<\/p>\n<\/div>\n

\"hashcat\u600e\u4e48\u8bbe\u7f6e\u4e2d\u6587\"<\/p>\n

\u5b89\u88c5\uff1abrew install hashcat\n\u5e38\u7528\u53c2\u6570\uff1a\n-a  \u6307\u5b9a\u7834\u89e3\u6a21\u5f0f\uff1a\u201c-a 0\u201d\u5b57\u5178\u653b\u51fb\uff0c\u201c-a 1\u201d \u7ec4\u5408\u653b\u51fb\uff1b\u201c-a 3\u201d\u63a9\u7801\u653b\u51fb\n-m  \u6307\u5b9a\u8981\u7834\u89e3\u7684 hash \u7c7b\u578b\uff1a\u9ed8\u8ba4\u4e3a MD5\n--force \u5ffd\u7565\u7834\u89e3\u8fc7\u7a0b\u4e2d\u7684\u8b66\u544a\n\u5e38\u7528\u7834\u89e3\u6a21\u5f0f\uff1a\n0\uff1aStraight\uff08\u5b57\u5178\u7834\u89e3\uff09\n1\uff1aCombination\uff08\u7ec4\u5408\u7834\u89e3\uff09\n3\uff1aBrute-force\uff08\u63a9\u7801\u66b4\u529b\u7834\u89e3\uff09\n6\uff1aHybrid Wordlist + Mask\uff08\u5b57\u5178+\u63a9\u7801\u7834\u89e3\uff09\n7\uff1aHybrid Mask + Wordlist\uff08\u63a9\u7801+\u5b57\u5178\u7834\u89e3\uff09\n\u5e38\u7528\u63a9\u7801\u8bbe\u7f6e\uff1a\nl\uff1a\u7eaf\u5c0f\u5199\u5b57\u6bcd abcdefghijklmnopqrstuvwxyz\nu\uff1a\u7eaf\u5927\u5199\u5b57\u6bcd ABCDEFGHIJKLMNOPQRSTUVWXYZ\nd\uff1a\u7eaf\u6570\u5b57 0123456789\n\u4e3e\u4f8b\uff1a\u7834\u89e3 8 \u4f4d\u6570\u5b57\u5bc6\u7801\nhashcat -a 3 -m 0 --force 0D7002A70CCDE8BF4BA2A4A5572A85E9(\u5bc6\u7801md5\u5b57\u7b26\u4e32) ?l?l?l?l?l?l?l?l?l?l?l\uff0811 \u4f4d\u5bc6\u7801\u7684\u63a9\u7801\uff09<\/code><\/pre>\n
\u5174\u8da3\u662f\u6700\u597d\u7684\u8001\u5e08\uff0cHelloGitHub \u8ba9\u4f60\u5bf9\u7f16\u7a0b\u611f\u5174\u8da3\uff01HelloGitHub \u662f\u4e00\u4e2a\u5206\u4eab GitHub \u4e0a\u6709\u8da3\u3001\u5165\u95e8\u7ea7\u7684\u5f00\u6e90\u9879\u76ee\u7684\u5e73\u53f0\u3002\u8fd9\u91cc\u63d0\u4f9b\u5b9e\u6218\u9879\u76ee\u3001\u5165\u95e8\u6559\u7a0b\u3001\u9ed1\u79d1\u6280\u3001\u5f00\u6e90\u4e66\u7c4d\u3001\u5927\u5382\u5f00\u6e90\u9879\u76ee\u7b49\uff0c\u6db5\u76d6\u591a\u79cd\u7f16\u7a0b\u8bed\u8a00\uff0c\u5982Python\u3001Java\u3001Go\u3001C\/C++\u3001Swift\u7b49\uff0c\u8ba9\u4f60\u5728\u77ed\u65f6\u95f4\u5185\u611f\u53d7\u5230\u5f00\u6e90\u7684\u9b45\u529b\uff0c\u5bf9\u7f16\u7a0b\u4ea7\u751f\u5174\u8da3\uff01<\/p>\n
\u4ee5\u4e0b\u662f\u672c\u671f\u5185\u5bb9\uff0c\u6bcf\u4e2a\u670828\u53f7\u66f4\u65b0\uff1a<\/p>\n
C\u9879\u76ee
\n1\u3001hashcat\uff1a\u4e00\u6b3e\u5f3a\u5927\u7684\u5bc6\u7801\u6062\u590d\u5de5\u5177\u3002\u5b83\u652f\u6301\u591a\u79cd\u7b97\u6cd5\uff0c\u7834\u89e3\u901f\u5ea6\u8d85\u5feb\uff0c\u9002\u7528\u4e8eLinux\u3001macOS\u548cWindows\u64cd\u4f5c\u7cfb\u7edf\u3002<\/p>\n
\"hashcat\u600e\u4e48\u8bbe\u7f6e\u4e2d\u6587\"\"hashcat\u600e\u4e48\u8bbe\u7f6e\u4e2d\u6587\"\"hashcat\u600e\u4e48\u8bbe\u7f6e\u4e2d\u6587\"<\/p>\n
2\u3001reptyr\uff1a\u4e00\u6b3e\u5b9e\u7528\u5de5\u5177\uff0c\u80fd\u591f\u5c06\u65e7\u7ec8\u7aef\u8fd0\u884c\u4e2d\u7684\u7a0b\u5e8f\u8fc1\u79fb\u5230\u65b0\u7ec8\u7aef\u7a97\u53e3\u3002<\/p>\n
C#\u9879\u76ee
\n3\u3001Monitorian\uff1a\u4e00\u4e2a\u8f7b\u677e\u8c03\u8282\u591a\u4e2a\u663e\u793a\u5668\u4eae\u5ea6\u7684Windows\u684c\u9762\u5de5\u5177\u3002\u5b83\u652f\u6301\u4e2d\u6587\u64cd\u4f5c\u754c\u9762\uff0c\u4f7f\u7528\u65f6\u9700\u8981\u5f00\u542fDDC\/CI\u3002<\/p>\n
public void ConfigureServices(IServiceCollection services)\n{\n    \/\/ ...\n    \/\/ 1. Add PluginCore\n    services.AddPluginCore();\n}\npublic void Configure(IApplicationBuilder app, IWebHostEnvironment env)\n{\n    \/\/ ...\n    \/\/ 2. Use PluginCore\n    app.UsePluginCore();\n}<\/code><\/pre>\n
\"hashcat\u600e\u4e48\u8bbe\u7f6e\u4e2d\u6587\"<\/p>\n
#include \"co\/co.h\"\nDEF_main(argc, argv) {\n    co::Chan ch;\n    go([ch]() { \/* capture by value, rather than reference *\/\n        ch <> v;\n    LOG << \"v: \" << v;\n    return 0;\n}<\/code><\/pre>\n
4\u3001PluginCore\uff1a\u4e00\u4e2a\u9002\u7528\u4e8eASP.NET Core\u7684\u8f7b\u91cf\u7ea7\u63d2\u4ef6\u6846\u67b6\u3002\u5b83\u81ea\u5e26\u63d2\u4ef6\u7ba1\u7406Web\u754c\u9762\uff0c\u65b9\u4fbf\u4f7f\u7528\u3002<\/p>\n
C++\u9879\u76ee
\n5\u3001cocoyaxi\uff1a\u4e00\u4e2a\u5728C++\u4e0a\u5b9e\u73b0\u7c7b\u4f3cGo goroutine\u7684\u5e93\u3002\u5b83\u5b9e\u73b0\u4e86\u534f\u7a0b\u540c\u6b65\u4e8b\u4ef6\u3001\u534f\u7a0b\u9501\u3001\u534f\u7a0b\u6c60\u3001channel\u3001waitgroup\u7b49\u529f\u80fd\uff0c\u5185\u5b58\u5360\u7528\u5c11\uff0c\u5b9e\u6d4b1000\u4e07\u534f\u7a0b\u4ec5\u5360\u75282.8G\u5185\u5b58\u3002<\/p>\n
\"hashcat\u600e\u4e48\u8bbe\u7f6e\u4e2d\u6587\"\"hashcat\u600e\u4e48\u8bbe\u7f6e\u4e2d\u6587\"<\/p>\n
CSS\u9879\u76ee
\n6\u3001log\uff1a\u4e00\u4e2a\u6d4f\u89c8\u5668console.log\u98ce\u683c\u7684CSS\u5e93\u3002<\/p>\n
Go\u9879\u76ee
\n7\u3001hh-lol-prophet\uff1a\u4e00\u4e2a\u82f1\u96c4\u8054\u76df\u5bf9\u5c40\u5148\u77e5\u5de5\u5177\u3002\u5b83\u901a\u8fc7LOL\u5ba2\u6237\u7aef\u63a5\u53e3\u83b7\u53d6\u7528\u6237\u6570\u636e\uff0c\u5b9e\u73b0\u5f00\u5c40\u524d\u5bf9\u73a9\u5bb6\u4fe1\u606f\u5206\u6790\u548c\u6253\u5206\uff0c\u514d\u8d39\u5408\u6cd5\u4e0d\u5c01\u53f7\u3002<\/p>\n
type User struct {\n    Name     string\n    Age      int\n    Accuracy float64\n}\nusers := []User{\n    {\"Aram\", 17, 0.2},\n    {\"Juan\", 18, 0.8},\n    {\"Ana\", 22, 0.5},\n}\ndf := dataframe.LoadStructs(users)\nfmt.Println(df)\n\/\/ Output:\n\/\/ [3x3] DataFrame\n\/\/\n\/\/     Name     Age   Accuracy\n\/\/  0: Aram     17    0.200000\n\/\/  1: Juan     18    0.800000\n\/\/  2: Ana      22    0.500000\n\/\/       <\/code><\/pre>\n
\"hashcat\u600e\u4e48\u8bbe\u7f6e\u4e2d\u6587\"<\/p>\n
8\u3001gota\uff1aGo\u8bed\u8a00\u7684\u6570\u636e\u5904\u7406\u5e93\u3002\u5b83\u63d0\u4f9b\u4e86\u7c7b\u4f3cPython\u8bed\u8a00Pandas\u5e93\u7684\u529f\u80fd\uff0c\u652f\u6301\u9ad8\u6548\u5730\u5904\u7406\u6570\u636e\u3002<\/p>\n
9\u3001illustrated-tls\uff1a\u4e00\u4e2a\u56fe\u89e3TLS\u8fde\u63a5\u7684\u9879\u76ee\u3002\u5b83\u901a\u8fc7\u5728\u7ebf\u4ea4\u4e92\u7684\u65b9\u5f0f\u8bb2\u89e3TLS\u7684\u5168\u8fc7\u7a0b\uff0c\u4ece\u5efa\u7acbTLS 1.2\u5ba2\u6237\u7aef\u53d1\u9001ping\u5230\u63a5\u6536pong\uff0c\u8be6\u7ec6\u5230\u6bcf\u4e00\u4e2a\u5b57\u8282\u3002<\/p>\n
text  = \"\u300a\u590d\u4ec7\u8005\u8054\u76df3\uff1a\u65e0\u9650\u6218\u4e89\u300b\u662f\u5168\u7247\u4f7f\u7528IMAX\u6444\u5f71\u673a\u62cd\u6444\u5236\u4f5c\u7684\u7684\u79d1\u5e7b\u7247.\"\n\/\/ use DAG and HMM\nhmm := seg.Cut(text, true)\nfmt.Println(\"cut use hmm: \", hmm)\n\/\/ cut use hmm:  [\u300a\u590d\u4ec7\u8005\u8054\u76df3\uff1a\u65e0\u9650\u6218\u4e89\u300b \u662f \u5168\u7247 \u4f7f\u7528 imax \u6444\u5f71\u673a \u62cd\u6444 \u5236\u4f5c \u7684 \u7684 \u79d1\u5e7b\u7247 .]<\/code><\/pre>\n
\"hashcat\u600e\u4e48\u8bbe\u7f6e\u4e2d\u6587\"<\/p>\n
10\u3001gse\uff1aGo\u7684\u9ad8\u6027\u80fd\u591a\u8bed\u8a00\u5206\u8bcd\u5e93\u3002\u5b83\u662f\u7ed3\u5df4\u5206\u8bcd\u7684Go\u8bed\u8a00\u5b9e\u73b0\uff0c\u652f\u6301\u4e2d\u6587\u548c\u63a5\u5165ES\u7b49\u529f\u80fd\u3002<\/p>\n
Java\u9879\u76ee
\n11\u3001LSPosed\uff1a\u4e00\u4e2a\u8fd0\u884c\u4e8eAndroid\u64cd\u4f5c\u7cfb\u7edf\u7684\u94a9\u5b50\u6846\u67b6\u3002\u5b83\u652f\u6301Android 8-11\u7cfb\u7edf\uff0c\u80fd\u591f\u62e6\u622a\u51e0\u4e4e\u6240\u6709Java\u51fd\u6570\u7684\u8c03\u7528\uff0c\u53ef\u7528\u4e8e\u4fee\u6539Android\u7cfb\u7edf\u548c\u8f6f\u4ef6\u7684\u529f\u80fd\u3002<\/p>\n
\"hashcat\u600e\u4e48\u8bbe\u7f6e\u4e2d\u6587\"<\/p>\n
const data = {\n    labels: [\"12am-3am\", \"3am-6pm\", \"6am-9am\", \"9am-12am\",\n        \"12pm-3pm\", \"3pm-6pm\", \"6pm-9pm\", \"9am-12am\"\n    ],\n    datasets: [\n        {\n            name: \"Some Data\", chartType: \"bar\",\n            values: [25, 40, 30, 35, 8, 52, 17, -4]\n        },\n        ...\n]}\nconst chart = new frappe.Chart(\"#chart\", \n{   \/\/ or a DOM element,\n    \/\/ new Chart() in case of ES6 module with above usage\n    title: \"My Awesome Chart\",\n    data: data,\n    type: 'axis-mixed', \/\/ or 'bar', 'line', 'scatter', 'pie', 'percentage'\n    height: 250,\n    colors: ['#7cd6fd', '#743ee2']\n})<\/code><\/pre>\n
12\u3001supertokens-core\uff1a\u4e00\u4e2a\u5f00\u6e90\u7684\u8eab\u4efd\u9a8c\u8bc1\u65b9\u6848\u3002\u5b83\u53ef\u4ee5\u8f7b\u677e\u4e3a\u4f60\u7684\u5e94\u7528\u589e\u52a0\u767b\u5f55\u3001\u4f1a\u8bdd\u7ba1\u7406\u7b49\u529f\u80fd\uff0c\u652f\u6301\u81ea\u884c\u642d\u5efa\u670d\u52a1\uff0c\u662fAuth0\u7684\u5f00\u6e90\u66ff\u4ee3\u54c1\u3002<\/p>\n
JavaScript\u9879\u76ee
\n13\u3001charts\uff1a\u4e00\u4e2a\u7b80\u5355\u3001\u96f6\u4f9d\u8d56\u3001\u54cd\u5e94\u5f0f\u7684SVG\u56fe\u8868\u5e93\u3002<\/p>\n
\"hashcat\u600e\u4e48\u8bbe\u7f6e\u4e2d\u6587\"<\/p>\n
\n\n  window.onload = function () {\n    lax.init()\n    \/\/ Add a driver that we use to control our animations\n    lax.addDriver('scrollY', function () {\n      return window.scrollY\n    })\n    \/\/ Add animation bindings to elements\n    lax.addElements('.selector', {\n      scrollY: {\n        translateX: [\n          [\"elInY\", \"elCenterY\", \"elOutY\"],\n          [0, 'screenWidth\/2', 'screenWidth'],\n        ]\n      }\n    })\n  }\n\n
Hello<\/div><\/code><\/pre>\n
\"hashcat\u600e\u4e48\u8bbe\u7f6e\u4e2d\u6587\"\"hashcat\u600e\u4e48\u8bbe\u7f6e\u4e2d\u6587\"<\/p>\n
14\u3001lax.js\uff1a\u4e00\u4e2a\u7528\u4e8e\u6eda\u52a8\u65f6\u521b\u5efa\u5e73\u6ed1\u548c\u597d\u770b\u52a8\u753b\u7684\u5e93\u3002\u5b83\u7b80\u5355\u8f7b\u91cf\uff0c\u4ec54KB\u5927\u5c0f\uff0c\u4f46\u529f\u80fd\u9f50\u5168\u4e14\u7075\u6d3b\u3002<\/p>\n
15\u3001chameleon\uff1a\u4e00\u4e2a\u4e00\u7aef\u6240\u89c1\u5373\u591a\u7aef\u6240\u89c1\u7684\u89e3\u51b3\u65b9\u6848\u3002\u5b83\u9002\u5e94\u4e0d\u540c\u73af\u5883\uff0c\u652f\u6301Web\u3001\u5c0f\u7a0b\u5e8f\u3001\u5feb\u5e94\u7528\u7b49\u5e73\u53f0\u3002<\/p>\n
\"hashcat\u600e\u4e48\u8bbe\u7f6e\u4e2d\u6587\"<\/p>\n
import tinykeys from \"tinykeys\"\ntinykeys(window, {\n  \"Shift+D\": () => {\n    alert(\"The 'Shift' and 'd' keys were pressed at the same time\")\n  },\n  \"y e e t\": () => {\n    alert(\"The keys 'y', 'e', 'e', and 't' were pressed in order\")\n  },\n  \"$mod+KeyD\": () => {\n    alert(\"Either 'Control+d' or 'Meta+d' were pressed\")\n  },\n})<\/code><\/pre>\n
16\u3001reveal.js\uff1a\u4e00\u4e2aHTML\u6f14\u793a\u6846\u67b6\u3002\u5b83\u8ba9\u4f60\u6446\u8131\u4f20\u7edf\u6b7b\u677f\u7684PPT\u5236\u4f5c\u65b9\u6cd5\uff0c\u53ef\u4ee5\u65b9\u4fbf\u5730\u4f7f\u7528HTML\u3001Markdown\u8bed\u8a00\u5236\u4f5cPPT\u3002<\/p>\n
17\u3001tinykeys\uff1a\u4e00\u4e2a\u6781\u5c0f\u7684\u952e\u76d8\u4e8b\u4ef6\u76d1\u542c\u5e93\u3002<\/p>\n
Kotlin\u9879\u76ee
\n18\u3001compose-tetris\uff1a\u4e00\u4e2a\u57fa\u4e8eJetpack Compose\u7684\u4fc4\u7f57\u65af\u65b9\u5757\u6e38\u620f\u3002<\/p>\n
Objective-C\u9879\u76ee
\n19\u3001HBDNavigationBar\uff1a\u4e00\u4e2a\u81ea\u5b9a\u4e49UINavigationBar\u7684\u7ec4\u4ef6\uff0c\u7528\u4e8e\u5404\u79cd\u72b6\u6001\u4e4b\u95f4\u5e73\u6ed1\u5207\u6362\u3002<\/p>\n
Python\u9879\u76ee
\n20\u3001saleor\uff1a\u4e00\u4e2a\u7528Python\u5f00\u53d1\u7684\u7535\u5546\u5e73\u53f0\u3002\u5b83\u91c7\u7528Django+GraphQL API+React\u6784\u5efa\uff0c\u529f\u80fd\u4e30\u5bcc\uff0c\u652f\u6301\u79fb\u52a8\u7aef\u3001\u8ba2\u5355\u3001\u5546\u54c1\u3001\u7528\u6237\u7ba1\u7406\u7b49\u3002<\/p>\n
\u8fd0\u884c\u65b9\u6cd5\uff1a\n# pip install scrap_engine\n$ git clone https:\/\/github.com\/lxgr-linux\/pokete.git\n$ .\/pokete\/pokete.py<\/code><\/pre>\n
\"hashcat\u600e\u4e48\u8bbe\u7f6e\u4e2d\u6587\"<\/p>\n
\u5b89\u88c5\uff1apip install tiptop\n\u8fd0\u884c\uff1atiptop<\/code><\/pre>\n
\"hashcat\u600e\u4e48\u8bbe\u7f6e\u4e2d\u6587\"<\/p>\n
from rembg import remove\nfrom PIL import Image\ninput_path = 'input.png'\noutput_path = 'output.png'\ninput = Image.open(input_path)\noutput = remove(input)\noutput.save(output_path)<\/code><\/pre>\n
21\u3001pokete\uff1a\u4e00\u4e2a\u8fd0\u884c\u5728\u7ec8\u7aef\u91cc\u7684\u53e3\u888b\u5996\u602a\u7c7b\u6e38\u620f\u3002\u867d\u7136\u6e38\u620f\u56fe\u50cf\u91c7\u7528\u7b80\u5355\u7684ASCII\u7801\u6784\u5efa\uff0c\u4f46\u5546\u5e97\u3001\u5c0f\u7cbe\u7075\u3001\u5bf9\u6218\u7b49\u529f\u80fd\u4e00\u5e94\u4ff1\u5168\u3002<\/p>\n
22\u3001tiptop\uff1a\u4e00\u4e2a\u70ab\u9177\u7684\u547d\u4ee4\u884c\u7cfb\u7edf\u76d1\u63a7\u5de5\u5177\u3002<\/p>\n
23\u3001rembg\uff1a\u4e00\u4e2a\u7b80\u5355\u5b9e\u7528\u7684\u5220\u9664\u56fe\u50cf\u80cc\u666f\/\u62a0\u56fe\u5de5\u5177\u3002<\/p>\n
\"hashcat\u600e\u4e48\u8bbe\u7f6e\u4e2d\u6587\"<\/p>\n
import textdistance\ntextdistance.hamming.normalized_similarity('test', 'text')\n# \u76f8\u4f3c\u5ea6\u4e3a 0.75<\/code><\/pre>\n
\"hashcat\u600e\u4e48\u8bbe\u7f6e\u4e2d\u6587\"\"hashcat\u600e\u4e48\u8bbe\u7f6e\u4e2d\u6587\"<\/p>\n
24\u3001textdistance\uff1a\u4e00\u4e2a\u8ba1\u7b97\u6587\u672c\u8ddd\u79bb\u7684\u5e38\u7528\u7b97\u6cd5\u5e93\u3002\u5b83\u5305\u542b\u8ba1\u7b97\u6587\u672c\u76f8\u4f3c\u5ea6\u3001\u591a\u6837\u6027\u3001\u7f16\u8f91\u8ddd\u79bb\u3001\u538b\u7f29\u7b49\u591a\u79cd\u7b97\u6cd5\uff0c\u6240\u6709\u7b97\u6cd5\u5747\u91c7\u7528Python\u5b9e\u73b0\uff0c\u5bb9\u6613\u7406\u89e3\u8c03\u7528\u65b9\u4fbf\u3002<\/p>\n
Swift\u9879\u76ee
\n25\u3001OnlySwitch\uff1a\u4e00\u4e2a\u514d\u8d39\u5f00\u6e90\u7684macOS\u72b6\u6001\u680f\u4e00\u952e\u8bbe\u7f6e\u5de5\u5177\u3002\u5b83\u53ef\u4ee5\u8f7b\u677e\u5bf9\u7cfb\u7edf\u529f\u80fd\u8fdb\u884c\u8bbe\u7f6e\uff0c\u5982\u9690\u85cf\u684c\u9762\u56fe\u6807\u3001\u6e05\u7406Xcode\u7f13\u5b58\u3001\u4e00\u952e\u9690\u85cf\u5218\u6d77\u513f\u3001\u8fdb\u5165\u591c\u89c8\u6a21\u5f0f\u7b49\u3002<\/p>\n
\u5176\u4ed6
\n26\u3001english-words\uff1a\u4e00\u4e2a\u5927\u578b\u82f1\u8bed\u5355\u8bcd\u6587\u672c\u3002\u5b83\u57fa\u4e8eWordNet\u82f1\u8bed\u8bcd\u6c47\u6570\u636e\u5e93\u6574\u7406\uff0c\u53ef\u7528\u4e8e\u82f1\u8bed\u81ea\u52a8\u63d0\u793a\u3001\u81ea\u52a8\u641c\u7d22\u7b49\u529f\u80fd\u3002<\/p>\n
27\u3001design-patterns-for-humans\uff1a\u4e00\u4e2a\u4eba\u4eba\u90fd\u80fd\u770b\u61c2\u7684\u8bbe\u8ba1\u6a21\u5f0f\u6559\u7a0b\u3002<\/p>\n
28\u3001Learn-Vim\uff1a\u4e00\u4e2a\u5b66\u4e60Vim\u7684\u6307\u5357\u3002\u8be5\u6559\u7a0b\u7740\u91cd\u4ecb\u7ecd\u4e86Vim\u4e2d\u6700\u5e38\u7528\u7684\u529f\u80fd\uff0c\u8ba9\u4f60\u53ef\u4ee5\u5feb\u901f\u719f\u6089\u548c\u4f7f\u7528Vim\u3002<\/p>\n
29\u3001electerm\uff1a\u4e00\u4e2a\u652f\u6301SSH\/SFTP\u7684\u7ec8\u7aef\u5de5\u5177\u3002\u5b83\u652f\u6301\u4e2d\u6587\u548cWindows\u3001Linux\u3001macOS\u64cd\u4f5c\u7cfb\u7edf\u3002<\/p>\n
\"hashcat\u600e\u4e48\u8bbe\u7f6e\u4e2d\u6587\"<\/p>\n
30\u3001ElectronBot\uff1a\u4e00\u4e2a\u81ea\u5236\u7684\u684c\u9762\u7ea7\u5c0f\u673a\u5668\u4eba\u3002\u5b83\u5177\u5907USB\u901a\u4fe1\u663e\u793a\u753b\u9762\u529f\u80fd\u4ee5\u53ca6\u4e2a\u81ea\u7531\u5ea6\uff0c\u652f\u6301\u624b\u52bf\u8bc6\u522b\u548c\u4eba\u4f53\u5173\u952e\u70b9\u68c0\u6d4b\u3002\u8fd9\u91cc\u6709\u914d\u5957\u7684\u5168\u90e8\u5f00\u53d1\u8d44\u6599\u548cSDK\uff0c\u8ba9\u4f60\u4e5f\u53ef\u4ee5\u5236\u4f5c\u51fa\u4e00\u4e2a\u6709\u8da3\u7684\u673a\u5668\u4eba\u3002<\/p>\n
31\u3001blog_os\uff1a\u4e00\u4e2a\u7528Rust\u4ece\u96f6\u5f00\u53d1\u4e00\u4e2a\u64cd\u4f5c\u7cfb\u7edf\u7684\u6559\u7a0b\u3002\u8be5\u6559\u7a0b\u4ece\u7a7a\u6587\u4ef6\u5939\u5f00\u59cb\uff0c\u4e00\u6b65\u6b65\u642d\u5efa\u5f00\u53d1\u73af\u5883\uff0c\u901a\u8fc7\u539f\u7406\u63cf\u8ff0\u3001\u4ee3\u7801\u793a\u4f8b\u8bb2\u89e3\u64cd\u4f5c\u7cfb\u7edf\u80cc\u540e\u7684\u539f\u7406\u3002\u6559\u7a0b\u662f\u82f1\u6587\u7684\uff0c\u4f46\u914d\u4e0a\u4ee3\u7801\u793a\u4f8b\u8bfb\u8d77\u6765\u4e0d\u8d39\u52b2\u3002<\/p>\n
\u5f00\u6e90\u4e66\u7c4d
\n32\u3001Deep-Learning-with-TensorFlow-book\uff1a\u300aTensorFlow\u6df1\u5ea6\u5b66\u4e60\u300b\u3002<\/p>\n
33\u3001microfrontends\uff1a\u300a\u5fae\u524d\u7aef\u7684\u90a3\u4e9b\u4e8b\u513f\u300b\u5c06Web\u5e94\u7528\u7531\u5355\u4e00\u7684\u5355\u4f53\u5e94\u7528\u8f6c\u53d8\u4e3a\u591a\u4e2a\u5c0f\u578b\u524d\u7aef\u5e94\u7528\u805a\u5408\u4e3a\u4e00\u7684\u5e94\u7528\u3002<\/p>\n
\u673a\u5668\u5b66\u4e60
\n34\u3001deep-learning-for-image-processing\uff1a\u4e00\u4e2a\u6df1\u5ea6\u5b66\u4e60\u5728\u56fe\u50cf\u5904\u7406\u65b9\u9762\u7684\u6559\u7a0b\u3002\u8be5\u9879\u76ee\u914d\u4ee5\u89c6\u9891\u7684\u65b9\u5f0f\u4ecb\u7ecd\u77e5\u8bc6\u70b9\u548c\u642d\u5efa\u65b9\u6cd5\uff0c\u5bf9\u5e94\u7684PPT\u5728course_ppt\u76ee\u5f55\u4e0b\u3002<\/p>\n
35\u3001awesome-automl-papers\uff1a\u4e00\u4e2a\u6c47\u96c6\u4e86\u81ea\u52a8\u673a\u5668\u5b66\u4e60\uff08AutoML\uff09\u76f8\u5173\u7684\u8bba\u6587\u3001\u6587\u7ae0\u3001\u6559\u7a0b\u7b49\u8d44\u6e90\u7684\u9879\u76ee\u3002<\/p>\n
from docarray import Document, DocumentArray\nfrom jina import Executor, Flow, requests\nclass PreprocImg(Executor):\n    @requests\n    async def foo(self, docs: DocumentArray, **kwargs):\n        for d in docs:\n            (\n                d.load_uri_to_image_tensor(200, 200)  # load\n                .set_image_tensor_normalization()  # normalize color\n                .set_image_tensor_channel_axis(\n                    -1, 0\n                )  # switch color axis for the PyTorch model later\n            )<\/code><\/pre>\n
36\u3001jina\uff1a\u4e00\u4e2a\u6613\u7528\u7684\u795e\u7ecf\u641c\u7d22\u6846\u67b6\u3002\u795e\u7ecf\u641c\u7d22\u662f\u6307\u7528\u975e\u7ed3\u6784\u5316\u6570\u636e\u641c\u7d22\u975e\u7ed3\u6784\u5316\u6570\u636e\u3002Jina\u7b80\u5316\u4e86\u795e\u7ecf\u641c\u7d22\u7cfb\u7edf\u7684\u642d\u5efa\u6d41\u7a0b\uff0c\u4f7f\u5f00\u53d1\u8005\u53ef\u4ee5\u5feb\u901f\u6784\u5efa\u4ee5\u56fe\u641c\u56fe\u3001\u4ee5\u6587\u5b57\u641c\u56fe\u3001\u95ee\u7b54\u673a\u5668\u4eba\u3001\u7167\u7247\u53bb\u91cd\u3001\u6d77\u91cf\u6807\u7b7e\u5206\u7c7b\u7b49\u5e94\u7528\u3002<\/p>\n
\"hashcat\u600e\u4e48\u8bbe\u7f6e\u4e2d\u6587\"<\/p>\n","protected":false},"excerpt":{"rendered":"
hashcat\u600e\u4e48\u8bbe\u7f6e\u4e2d\u6587 \u6709\u8da3\u7684\u5f00\u6e90\u6708\u520a\uff5cHelloGitHub \u7b2c 72 \u671f\u5174\u8da3\u662f\u6700\u597d\u7684\u8001\u5e08\uff0cHelloGitHub \u8ba9\u4f60\u5bf9\u7f16\u7a0b\u611f\u5174\u8da3\uff01\u7b80\u4ecbHelloGitHub \u5206\u4eab GitHub \u4e0a\u6709\u8da3\u3001\u5165\u95e8\u7ea7\u7684\u5f00\u6e90\u9879\u76ee\u3002<\/p>\n","protected":false},"author":1,"featured_media":3571,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"topic":[],"class_list":["post-3570","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-1"],"_links":{"self":[{"href":"https:\/\/www.ccwifi.cc\/blogs\/wp-json\/wp\/v2\/posts\/3570","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.ccwifi.cc\/blogs\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.ccwifi.cc\/blogs\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.ccwifi.cc\/blogs\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.ccwifi.cc\/blogs\/wp-json\/wp\/v2\/comments?post=3570"}],"version-history":[{"count":0,"href":"https:\/\/www.ccwifi.cc\/blogs\/wp-json\/wp\/v2\/posts\/3570\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.ccwifi.cc\/blogs\/wp-json\/wp\/v2\/media\/3571"}],"wp:attachment":[{"href":"https:\/\/www.ccwifi.cc\/blogs\/wp-json\/wp\/v2\/media?parent=3570"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.ccwifi.cc\/blogs\/wp-json\/wp\/v2\/categories?post=3570"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.ccwifi.cc\/blogs\/wp-json\/wp\/v2\/tags?post=3570"},{"taxonomy":"topic","embeddable":true,"href":"https:\/\/www.ccwifi.cc\/blogs\/wp-json\/wp\/v2\/topic?post=3570"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}