{"id":50585,"date":"2023-07-20T04:09:43","date_gmt":"2023-06-16T00:53:40","guid":{"rendered":"https:\/\/www.silicloud.com\/zh\/blog\/%e4%bd%bf%e7%94%a8python%e8%bf%9b%e8%a1%8c%e8%af%ad%e8%a8%80%e7%9a%84%e5%8d%95%e4%bb%b7%e6%95%b0%e6%8d%ae%e6%94%b6%e9%9b%86%e5%92%8c%e6%af%94%e8%be%83%ef%bc%8c%e7%9c%9f%e5%ae%9e%e5%8f%af%e9%9d%a0\/"},"modified":"2024-04-30T14:24:37","modified_gmt":"2024-04-30T06:24:37","slug":"%e4%bd%bf%e7%94%a8python%e8%bf%9b%e8%a1%8c%e8%af%ad%e8%a8%80%e7%9a%84%e5%8d%95%e4%bb%b7%e6%95%b0%e6%8d%ae%e6%94%b6%e9%9b%86%e5%92%8c%e6%af%94%e8%be%83%ef%bc%8c%e7%9c%9f%e5%ae%9e%e5%8f%af%e9%9d%a0","status":"publish","type":"post","link":"https:\/\/www.silicloud.com\/zh\/blog\/%e4%bd%bf%e7%94%a8python%e8%bf%9b%e8%a1%8c%e8%af%ad%e8%a8%80%e7%9a%84%e5%8d%95%e4%bb%b7%e6%95%b0%e6%8d%ae%e6%94%b6%e9%9b%86%e5%92%8c%e6%af%94%e8%be%83%ef%bc%8c%e7%9c%9f%e5%ae%9e%e5%8f%af%e9%9d%a0\/","title":{"rendered":"\u4f7f\u7528Python\u8fdb\u884c\u8bed\u8a00\u7684\u5355\u4ef7\u6570\u636e\u6536\u96c6\u548c\u6bd4\u8f83\uff0c\u771f\u5b9e\u53ef\u9760\u7684\u6570\u636e"},"content":{"rendered":"

\u7531\u4e8e\u6211\u4e00\u76f4\u60f3\u6bd4\u8f83\u548c\u6c47\u603b\u81ea\u7531\u804c\u4e1a\u9879\u76ee\u7684\u8bed\u8a00\u5355\u4ef7\uff0c\u6240\u4ee5\u6211\u8fdb\u884c\u4e86\u5b9e\u9645\u8c03\u67e5\u3002<\/p>\n

\u81ea\u7531\u8077\u696d\u6848\u4ef6\u7684\u4fe1\u606f\u662f\u57fa\u4e8e\u4ee5\u4e0b\u7f51\u7ad9\u8fdb\u884c\u6c47\u603b\u7684\u3002\u7531\u4e8e\u5404\u8bed\u8a00\u9875\u9762\u4e0a\u6709\u6c47\u603b\u4fe1\u606f\uff0c\u56e0\u6b64\u6211\u4eec\u4ee5\u6b64\u4e3a\u57fa\u7840\u3002<\/p>\n

\u4e50\u91c7\u81ea\u7531\u804c\u4e1a\u8005
\nhttps:\/\/freelance.levtech.jp<\/p>\n

\u8fd9\u662f\u622a\u81f32020\u5e7411\u670821\u65e5\u7684\u6570\u636e\u3002<\/p>\n

\u4e91.csv\u521b\u5efa\u65f6\u95f4,\u6280\u80fd,\u6570\u91cf,\u5e73\u5747\u4ef7\u683c,\u6700\u9ad8\u4ef7\u683c,\u6700\u4f4e\u4ef7\u683c
\n20201121,OpenShift,5,62,65,60
\n20201121,Amazon VPC,1,70,70,70
\n20201121,\u8c37\u6b4c\u4e91\u5e73\u53f0,55,80,105,53
\n20201121,Dynamics CRM,1,65,65,65
\n20201121,\u4e9a\u9a6c\u900aS3,2,80,85,75
\n20201121,\u4e9a\u9a6c\u900aEC2,2,74,85,64
\n20201121,AWS,1926,76,135,20
\n20201121,\u8c37\u6b4c\u5e94\u7528\u5f15\u64ce,7,77,95,60
\n20201121,\u4e9a\u9a6c\u900aSimpleDB,1,80,80,80
\n20201121,Force.com,2,70,70,70
\n20201121,Office 365,9,56,65,40
\n20201121,\u5fae\u8f6fAzure,141,67,90,50
\n20201121,OpenStack,21,64,80,45
\n20201121,Heroku,29,75,102,55<\/p>\n<\/details>\n
DB.csv \u6570\u636e
\n\u521b\u5efa\u65e5\u671f, \u6280\u80fd, \u6570\u91cf, \u5e73\u5747\u4ef7\u683c, \u6700\u9ad8\u4ef7\u683c, \u6700\u4f4e\u4ef7\u683c
\n20201121, \u4eac\u90fd\u53f0\u6570\u636e\u5e93, 1, 75, 75, 75
\n20201121, SQLite, 20, 72, 90, 55
\n20201121, MySQL, 1465, 75, 125, 35
\n20201121, Symfoware Server, 4, 60, 65, 55
\n20201121, Cassandra, 14, 62, 80, 45
\n20201121, PostgreSQL, 487, 71, 135, 35
\n20201121, Riak, 5, 63, 100, 45
\n20201121, Bigtable, 3, 86, 95, 80
\n20201121, SQL Server, 375, 65, 95, 35
\n20201121, Redis, 296, 78, 105, 39
\n20201121, Hbase, 5, 68, 75, 60
\n20201121, Oracle, 971, 66, 115, 25
\n20201121, Sybase, 6, 75, 85, 65
\n20201121, IMS, 3, 58, 64, 55
\n20201121, Access, 88, 60, 145, 40
\n20201121, DB2, 79, 64, 95, 35<\/details>\n
\u6846\u67b6CSV\u6587\u4ef6\u521b\u5efa\u65f6\u95f4,\u6280\u80fd,\u6570\u91cf,\u5e73\u5747\u4ef7\u683c,\u6700\u9ad8\u4ef7\u683c,\u6700\u4f4e\u4ef7\u683c
\n20201121,Pyramid,12,77,105,65
\n20201121,Rails,237,81,115,45
\n20201121,MyBatis,61,71,85,55
\n20201121,Node.js,256,77,125,45
\n20201121,Backbone.js,77,76,115,39
\n20201121,Knockout.js,4,72,90,55
\n20201121,AngularJS,152,74,105,47
\n20201121,Laravel,343,73,125,40
\n20201121,JUnit,80,73,125,50
\n20201121,Wicket,3,82,95,70
\n20201121,Django,89,83,115,55
\n20201121,Padrino,2,82,85,80
\n20201121,iBATIS,14,67,80,55
\n20201121,Silex,4,76,80,75
\n20201121,FuelPHP,101,76,115,50
\n20201121,MVC,69,68,95,37
\n20201121,CodeIgniter,39,74,105,45
\n20201121,Liferay,1,70,70,70
\n20201121,React,378,77,115,40
\n20201121,Spark,19,82,95,55
\n20201121,PhoneGap,3,86,95,80
\n20201121,JSF,18,64,75,55
\n20201121,jQuery,354,71,95,35
\n20201121,Seasar2,32,70,95,49
\n20201121,Spring,362,71,115,45
\n20201121,Bottle,1,75,75,75
\n20201121,Catalyst,26,64,72,55
\n20201121,intra-mart,14,70,135,50
\n20201121,SAStruts,16,71,95,57
\n20201121,Flask,25,82,125,65
\n20201121,Sinatra,6,78,85,75
\n20201121,Struts,129,67,95,45
\n20201121,Symfony,55,74,95,55
\n20201121,CakePHP,149,71,95,50<\/p>\n<\/details>\n
\u8bed\u8a00.csv\u521b\u5efa\u65f6\u95f4\uff0c\u6280\u80fd\uff0c\u6570\u91cf\uff0c\u5e73\u5747\u4ef7\u683c\uff0c\u6700\u9ad8\u4ef7\u683c\uff0c\u6700\u4f4e\u4ef7\u683c
\n20201121\uff0cPHP\uff0c1560\uff0c72\uff0c145\uff0c35
\n20201121\uff0cCSS\uff0c650\uff0c70\uff0c125\uff0c35
\n20201121\uff0cC\u8bed\u8a00\uff0c269\uff0c68\uff0c115\uff0c35
\n20201121\uff0cUML\uff0c7\uff0c70\uff0c85\uff0c50
\n20201121\uff0cC++\uff0c374\uff0c72\uff0c125\uff0c45
\n20201121\uff0cC#.NET\uff0c147\uff0c62\uff0c80\uff0c32
\n20201121\uff0cTransact-SQL\uff0c6\uff0c65\uff0c75\uff0c55
\n20201121\uff0cKotlin\uff0c270\uff0c83\uff0c125\uff0c45
\n20201121\uff0cVB\uff0c83\uff0c62\uff0c85\uff0c40
\n20201121\uff0cHTML5\uff0c305\uff0c72\uff0c115\uff0c35
\n20201121\uff0cVC\uff0c8\uff0c61\uff0c66\uff0c50
\n20201121\uff0cC#\uff0c706\uff0c68\uff0c115\uff0c35
\n20201121\uff0cApex\uff0c49\uff0c79\uff0c135\uff0c55
\n20201121\uff0cVBA\uff0c165\uff0c60\uff0c145\uff0c30
\n20201121\uff0cASP.NET\uff0c161\uff0c65\uff0c95\uff0c48
\n20201121\uff0cGo\uff0c361\uff0c81\uff0c125\uff0c39
\n20201121\uff0cPL\/SQL\uff0c146\uff0c63\uff0c85\uff0c45
\n20201121\uff0cCOBOL\uff0c81\uff0c61\uff0c95\uff0c37
\n20201121\uff0cLESS\uff0c9\uff0c74\uff0c115\uff0c55
\n20201121\uff0cSwift\uff0c407\uff0c81\uff0c125\uff0c50
\n20201121\uff0cVC++\uff0c30\uff0c65\uff0c90\uff0c52
\n20201121\uff0cHTML\uff0c674\uff0c69\uff0c125\uff0c35
\n20201121\uff0cCSS3\uff0c209\uff0c75\uff0c115\uff0c35
\n20201121\uff0cJava\uff0c2484\uff0c70\uff0c145\uff0c25
\n20201121\uff0cJSP\uff0c54\uff0c68\uff0c105\uff0c55
\n20201121\uff0cSass\uff0c55\uff0c71\uff0c115\uff0c45
\n20201121\uff0cSQL\uff0c881\uff0c65\uff0c145\uff0c33
\n20201121\uff0cVBScript\uff0c44\uff0c62\uff0c75\uff0c45
\n20201121\uff0cObjective-C\uff0c247\uff0c76\uff0c115\uff0c40
\n20201121\uff0cCoffeeScript\uff0c16\uff0c81\uff0c95\uff0c65
\n20201121\uff0cJavaScript\uff0c1749\uff0c72\uff0c125\uff0c20
\n20201121\uff0cLua\uff0c6\uff0c73\uff0c80\uff0c65
\n20201121\uff0cR\u8bed\u8a00\uff0c19\uff0c78\uff0c95\uff0c65
\n20201121\uff0cSmalltalk\uff0c2\uff0c75\uff0c80\uff0c70
\n20201121\uff0cScala\uff0c117\uff0c83\uff0c115\uff0c55
\n20201121\uff0cPerl\uff0c108\uff0c73\uff0c110\uff0c50
\n20201121\uff0cShell\uff0c193\uff0c64\uff0c95\uff0c45
\n20201121\uff0cSAS\uff0c12\uff0c61\uff0c75\uff0c50
\n20201121\uff0cRuby\uff0c652\uff0c80\uff0c125\uff0c39
\n20201121\uff0cABAP\uff0c12\uff0c67\uff0c80\uff0c55
\n20201121\uff0cPython\uff0c669\uff0c78\uff0c145\uff0c32
\n20201121\uff0cVB.NET\uff0c284\uff0c62\uff0c85\uff0c40<\/p>\n<\/details>\n
\u64cd\u4f5c\u7cfb\u7edf.csv\u521b\u5efa\u65f6\u95f4\uff0c\u6280\u80fd\uff0c\u6570\u91cf\uff0c\u5e73\u5747\u4ef7\u683c\uff0c\u6700\u9ad8\u4ef7\u683c\uff0c\u6700\u4f4e\u4ef7\u683c
\n20201121\uff0cWindows\uff0c998\uff0c63\uff0c135\uff0c25
\n20201121\uff0c\u7ea2\u5e3d\uff0c92\uff0c66\uff0c95\uff0c40
\n20201121\uff0cSolaris\uff0c37\uff0c61\uff0c80\uff0c40
\n20201121\uff0cAIX\uff0c77\uff0c63\uff0c90\uff0c52
\n20201121\uff0cUbuntu\uff0c39\uff0c75\uff0c90\uff0c45
\n20201121\uff0cUnix\uff0c236\uff0c69\uff0c100\uff0c40
\n20201121\uff0cAS\/400\uff0c1\uff0c65\uff0c65\uff0c65
\n20201121\uff0cFreeBSD\uff0c3\uff0c70\uff0c75\uff0c62
\n20201121\uff0cHP-UX\uff0c21\uff0c62\uff0c75\uff0c55
\n20201121\uff0cWindows Server\uff0c387\uff0c62\uff0c100\uff0c33
\n20201121\uff0cAndroid\uff0c563\uff0c78\uff0c125\uff0c35
\n20201121\uff0cLinux\uff0c2266\uff0c69\uff0c135\uff0c30<\/p>\n<\/details>\n

\u8fd9\u91cc\u662f\u56fe\u5f62\u8f93\u51fa\u6e90\u4ee3\u7801\u3002<\/h2>\n
\u6253\u5370\u56fe\u5f62.pyimport datetime
\nimport os
\nimport pandas as pd
\nimport numpy as np
\nimport matplotlib.pyplot as plt<\/p>\n

“””
\n\u901a\u7528\u53d8\u91cf\u548c\u5e38\u6570\u8bbe\u7f6e
\n“””
\nDATA_PATH = ‘data’
\nnow = datetime.datetime.today()
\nCATEGORIES = {
\n‘Language’,
\n‘FrameWork’,
\n‘DB’,
\n‘OS’,
\n‘Cloud’
\n}<\/p>\n

“””
\n\u4e3b\u8981\u5904\u7406
\n“””
\ndef main() -> None:<\/p>\n

make_date = now.strftime(“%Y%m%d”)<\/p>\n

# \u521b\u5efa\u76ee\u5f55
\nos.makedirs(DATA_PATH + ‘\/graphs\/’ + make_date, exist_ok=True)<\/p>\n

\u5355\u4ef7\u56fe\u8868(make_date)
\n\u6570\u91cf\u56fe\u8868(make_date)
\n\u6df7\u5408\u56fe\u8868(make_date)<\/p>\n

“””
\n\u5355\u4ef7\u56fe\u8868\u521b\u5efa
\n“””
\ndef \u5355\u4ef7\u56fe\u8868(make_date: str) -> None:<\/p>\n

for category_key in CATEGORIES:
\ndf = pd.read_csv(DATA_PATH + ‘\/levtech\/’ + category_key + ‘.csv’)
\ndf = df.sort_values(by=[‘avg_price’], ascending=False)
\nlabels = df[‘skill’].str.replace(‘[\u3041-\u3093\u30a1-\u30f3\u4e00-\u9fa5]+’, ”, regex=True) # \u5220\u9664\u65e5\u8bed
\ny_list1 = df[‘avg_price’]<\/p>\n

fig = plt.figure(figsize=(14, 7))<\/p>\n

ax1 = fig.add_subplot(1, 1, 1)
\nax1.bar(labels, y_list1, color=’tab:blue’)
\nax1.set_ylabel(‘\u4ef7\u683c’)
\nax1.set_title(category_key)<\/p>\n

# \u5c06X\u8f74\u5782\u76f4\u663e\u793a
\nax1.set_xticklabels(labels, rotation=90)<\/p>\n

# \u5728\u67f1\u72b6\u56fe\u4e2d\u6dfb\u52a0\u6570\u503c
\nfor x, y in zip(labels, y_list1):
\nax1.text(x, y, y, ha=’center’, va=’bottom’)<\/p>\n

# plt.show()
\nfig.savefig(DATA_PATH + ‘\/graphs\/’ + make_date + ‘\/levtech-‘ + category_key + ‘-price.png’, bbox_inches=’tight’, format=’png’, dpi=300)<\/p>\n

“””
\n\u6570\u91cf\u56fe\u8868\u521b\u5efa
\n“””
\ndef \u6570\u91cf\u56fe\u8868(make_date: str) -> None:<\/p>\n

for category_key in CATEGORIES:
\ndf = pd.read_csv(DATA_PATH + ‘\/levtech\/’ + category_key + ‘.csv’)
\ndf = df.sort_values(by=[‘count’], ascending=False)
\nlabels = df[‘skill’].str.replace(‘[\u3041-\u3093\u30a1-\u30f3\u4e00-\u9fa5]+’, ”, regex=True) # \u5220\u9664\u65e5\u8bed
\ny_list1 = df[‘count’]<\/p>\n

fig = plt.figure(figsize=(14, 7))<\/p>\n

ax1 = fig.add_subplot(1, 1, 1)
\nax1.bar(labels, y_list1, color=’tab:orange’)
\nax1.set_ylabel(‘\u6570\u91cf’)
\nax1.set_title(category_key)<\/p>\n

# \u5c06X\u8f74\u5782\u76f4\u663e\u793a
\nax1.set_xticklabels(labels, rotation=90)<\/p>\n

# \u5728\u67f1\u72b6\u56fe\u4e2d\u6dfb\u52a0\u6570\u503c
\nfor x, y in zip(labels, y_list1):
\nax1.text(x, y, y, ha=’center’, va=’bottom’, fontsize=’small’)<\/p>\n

# plt.show()
\nfig.savefig(DATA_PATH + ‘\/graphs\/’ + make_date + ‘\/levtech-‘ + category_key + ‘-count.png’, bbox_inches=’tight’, format=’png’, dpi=300)<\/p>\n

“””
\n\u5355\u4ef7\u548c\u6570\u91cf\u56fe\u8868\u521b\u5efa
\n“””
\ndef \u6df7\u5408\u56fe\u8868(make_date: str) -> None:<\/p>\n

for category_key in CATEGORIES:
\ndf = pd.read_csv(DATA_PATH + ‘\/levtech\/’ + category_key + ‘.csv’)
\ndf = df.sort_values(by=[‘avg_price’], ascending=False)<\/p>\n

labels = df[‘skill’].str.replace(‘[\u3041-\u3093\u30a1-\u30f3\u4e00-\u9fa5]+’, ”, regex=True) # \u5220\u9664\u65e5\u8bed
\ny_list1 = df[‘avg_price’]
\ny_list2 = df[‘count’]<\/p>\n

fig = plt.figure(figsize=(14, 7))<\/p>\n

left = np.arange(len(labels))
\nwidth = 0.3<\/p>\n

ax1 = fig.add_subplot(1, 1, 1)
\nax1.bar(labels, y_list1, width=width, color=’tab:blue’, label=’\u4ef7\u683c’)
\nax1.set_ylabel(‘\u4ef7\u683c’)
\nax1.set_title(category_key)<\/p>\n

ax2 = ax1.twinx()
\nax2.bar(left + width, y_list2, width=width, color=’tab:orange’, label=’\u6570\u91cf’)
\nax2.set_ylabel(‘\u6570\u91cf’)<\/p>\n

# \u5c06X\u8f74\u5782\u76f4\u663e\u793a
\nax1.set_xticklabels(labels, rotation=90)<\/p>\n

# \u5728\u67f1\u72b6\u56fe\u4e2d\u6dfb\u52a0\u6570\u503c
\nfor x, y in zip(labels, y_list1):
\nax1.text(x, y, y, ha=’center’, va=’bottom’)<\/p>\n

for x, y in zip(left + width, y_list2):
\nax2.text(x, y, y, ha=’center’, va=’bottom’, fontsize=’small’)<\/p>\n

# \u8f93\u51fa\u56fe\u4f8b
\nhandler1, label1 = ax1.get_legend_handles_labels()
\nhandler2, label2 = ax2.get_legend_handles_labels()
\nax1.legend(handler1 + handler2, label1 + label2)<\/p>\n

# plt.show()
\nfig.savefig(DATA_PATH + ‘\/graphs\/’ + make_date + ‘\/levtech-‘ + category_key + ‘-mix.png’, bbox_inches=’tight’, format=’png’, dpi=300)<\/p>\n

if __name__ == ‘__main__’:
\nmain()<\/p>\n<\/details>\n

\u5b9e\u9645\u56fe\u8868<\/h2>\n
    \n
  • \n
      price\u304c\u5e73\u5747\u5358\u4fa1\uff08\u4e07\u5186\uff09<\/ul>\n<\/li>\n<\/ul>\n

       <\/p>\n

        \n
      • \n
          count\u304c\u6848\u4ef6\u6570\u3067\u3059<\/ul>\n<\/li>\n<\/ul>\n

           <\/p>\n

            \u5358\u4fa1\u3068\u6848\u4ef6\u6570\u304c\u6df7\u3056\u3063\u305f\u30b0\u30e9\u30d5\u306f\u3001\u5358\u4fa1\u304c\u9ad8\u3044\u9806\u3067\u3059<\/ul>\n

            \u8bed\u8a00<\/h2>\n

            \u6309\u7167\u5355\u4ef7\u5206\u7c7b<\/h3>\n
            \"levtech-Language-price.png\"<\/div>\n

            \u6848\u4f8b\u5206\u7c7b<\/h3>\n
            \"levtech-Language-count.png\"<\/div>\n

            \u5355\u4ef7\u548c\u6848\u4ef6\u6570\u91cf\u7684\u7ec4\u5408<\/h3>\n
            \"levtech-Language-mix.png\"<\/div>\n

            \u76ee\u524d\u6700\u70ed\u95e8\u7684\u662fKotlin\u5427\u3002\u6211\u542c\u8bf4Android\u5de5\u7a0b\u5e08\u73b0\u5728\u4f9b\u4e0d\u5e94\u6c42\uff0c\u6240\u4ee5\u53ef\u4ee5\u7406\u89e3\u3002
            \n\u5982\u679c\u662f\u7f51\u9875\u5f00\u53d1\u7684\u8bdd\uff0c\u4ece\u9879\u76ee\u6570\u91cf\u548c\u5355\u4ef7\u6765\u770b\uff0cRuby\u3001Python\u3001Go\u90fd\u663e\u5f97\u5f88\u5212\u7b97\u5462\u3002
            \n\u4e4b\u524d\u6211\u4e00\u76f4\u4ee5\u4e3aJava\u7684\u5355\u4ef7\u6bd4\u8f83\u9ad8\uff0c\u6ca1\u60f3\u5230PHP\u7684\u66f4\u9ad8\uff0c\u8fd9\u771f\u662f\u51fa\u4e4e\u610f\u6599… \u9700\u6c42\u91cf\u662f\u4e0d\u662f\u592a\u5927\u4e86\uff1f<\/p>\n

            \u4e0b\u4e00\u6b65\u662f\u6846\u67b6\u3002<\/h2>\n

            \u6309\u7167\u5355\u4f4d\u4ef7\u683c\u5206\u7c7b<\/h3>\n
            \"levtech-FrameWork-price.png\"<\/div>\n

            \u8bf7\u5c06\u4e0b\u5217\u6848\u4ef6\u5206\u7c7b\u6574\u7406<\/h3>\n
            \"levtech-FrameWork-count.png\"<\/div>\n

            \u6df7\u5408\u4e86\u5355\u4f4d\u4ef7\u683c\u548c\u9879\u76ee\u6570\u91cf<\/h3>\n
            \"levtech-FrameWork-mix.png\"<\/div>\n

            PhoneGap\u662f\u9876\u5c16\u7684\u9009\u62e9\u3002\u867d\u7136\u6211\u662f\u7b2c\u4e00\u6b21\u542c\u8bf4\uff0c\u4f46\u636e\u8bf4\u662f\u7531Nitobi\u5f00\u53d1\u548c\u53d1\u5e03\u7684\u8de8\u5e73\u53f0\u79fb\u52a8\u5e94\u7528\u7a0b\u5e8f\u5f00\u53d1\u6846\u67b6\u3002
            \n\u5bf9\u4e8eWeb\u5f00\u53d1\u6765\u8bf4\uff0cDjango\u548cRails\u4f3c\u4e4e\u4e5f\u5f88\u5b9e\u60e0\u3002React\u7528\u4e8eWeb\u548c\u5e94\u7528\u7a0b\u5e8f\u5f00\u53d1\uff0c\u6848\u4ef6\u6570\u91cf\u548c\u4ef7\u683c\u4e5f\u76f8\u5bf9\u4e0d\u9519\u3002\u5173\u4e8eVue\u65b9\u9762\uff0c\u6211\u627e\u4e0d\u5230\u76f8\u5173\u4fe1\u606f\u3002<\/p>\n

            \u6570\u636e\u5e93<\/h2>\n

            \u6309\u5355\u4ef7\u6392\u5e8f<\/h3>\n
            \"levtech-DB-price.png\"<\/div>\n

            \u6848\u4f8b\u7684\u5206\u7c7b<\/h3>\n
            \"levtech-DB-count.png\"<\/div>\n

            \u5355\u4ef7\u548c\u9879\u76ee\u6570\u7684\u7ec4\u5408<\/h3>\n
            \"levtech-DB-mix.png\"<\/div>\n

            Bigtable\u662f\u6700\u9876\u7ea7\u7684\u9009\u62e9\u3002\u867d\u7136\u542c\u5f97\u591a\u7684\u662fBigquery\uff0c\u4f46\u662f\u5b83\u4e0eBigquery\u76f8\u6bd4\uff0c\u636e\u8bf4\u662f\u4e00\u79cd\u66f4\u9ad8\u901f\u8fd0\u884c\u7684\u5927\u89c4\u6a21\u6570\u636e\u5e93\u3002\u5c31\u6570\u636e\u5e93\u6765\u8bf4\uff0cMySQL\u662f\u7edd\u5bf9\u6ca1\u6709\u9519\u7684\u9009\u62e9\u3002\u800cOracle\u548cSQLServer\u5219\u51fa\u4eba\u610f\u6599\u5730\u4ef7\u683c\u8f83\u4f4e\u3002\u4e3a\u4ec0\u4e48\u5462\u3001\u3001\u3001<\/p>\n

            \u4e91<\/h2>\n

            \u6309\u6bcf\u4e2a\u5355\u4ef7\u533a\u5206<\/h3>\n
            \"levtech-Cloud-price.png\"<\/div>\n

            \u6848\u4ef6\u5206\u7c7b<\/h3>\n
            \"levtech-Cloud-count.png\"<\/div>\n

            \u5355\u4ef7\u548c\u6848\u4ef6\u6570\u91cf\u6df7\u5408<\/h3>\n
            \"levtech-Cloud-mix.png\"<\/div>\n

            GCP\u7684\u4ef7\u683c\u6700\u9ad8\uff01\u6848\u4ef6\u6570\u91cf\u4e0a\u6765\u8bf4\uff0cAWS\u7edd\u5bf9\u538b\u5012\u6027\uff01\u603b\u4e4b\uff0c\u81f3\u5c11\u8981\u638c\u63e1\u4e00\u4e0bAWS\u6bd4\u8f83\u597d\u3002
            \n\u7531\u4e8e\u9700\u6c42\u8fc7\u9ad8\uff0c\u4ef7\u683c\u5f80\u5f80\u4f1a\u964d\u4f4e\uff0c\u6240\u4ee5\u8003\u8651\u672a\u6765\u7684\u8bdd\uff0c\u4e5f\u8bb8\u5b66\u4e60\u4e00\u4e0bGCP\u4f1a\u6bd4\u8f83\u597d\uff1f
            \nAzure\u7684\u6848\u4ef6\u6570\u91cf\u548c\u4ef7\u683c\u90fd\u4e0d\u592a\u597d\uff0c\u6709\u4e9b\u5fae\u5999\u3002<\/p>\n

            \u60f3\u6cd5\u6216\u611f\u53d7<\/h2>\n

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            \u8fd9\u6b21\u53ea\u662f\u5bf9\u4e00\u4e2a\u6848\u4ef6\u7f51\u7ad9\u7684\u8c03\u67e5\u7ed3\u679c\uff0c\u6240\u4ee5\u60a8\u53ef\u4ee5\u5c06\u5176\u4f5c\u4e3a\u53c2\u8003\uff01\u56e0\u4e3a\u6ca1\u6709Vue\u3001Graphql\u548cRust\u7684\u4fe1\u606f\uff0c\u6240\u4ee5\u8fd9\u4e9b\u65b9\u9762\u4e5f\u8ba9\u4eba\u5f88\u597d\u5947\u554a~<\/p>\n","protected":false},"excerpt":{"rendered":"

            \u7531\u4e8e\u6211\u4e00\u76f4\u60f3\u6bd4\u8f83\u548c\u6c47\u603b\u81ea\u7531\u804c\u4e1a\u9879\u76ee\u7684\u8bed\u8a00\u5355\u4ef7\uff0c\u6240\u4ee5\u6211\u8fdb\u884c\u4e86\u5b9e\u9645\u8c03\u67e5\u3002 \u81ea\u7531\u8077\u696d\u6848\u4ef6\u7684\u4fe1\u606f\u662f\u57fa\u4e8e\u4ee5\u4e0b\u7f51\u7ad9\u8fdb\u884c\u6c47\u603b […]<\/p>\n","protected":false},"author":9,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-50585","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"yoast_head":"\n\u4f7f\u7528Python\u8fdb\u884c\u8bed\u8a00\u7684\u5355\u4ef7\u6570\u636e\u6536\u96c6\u548c\u6bd4\u8f83\uff0c\u771f\u5b9e\u53ef\u9760\u7684\u6570\u636e - Blog - Silicon Cloud<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.silicloud.com\/zh\/blog\/\u4f7f\u7528python\u8fdb\u884c\u8bed\u8a00\u7684\u5355\u4ef7\u6570\u636e\u6536\u96c6\u548c\u6bd4\u8f83\uff0c\u771f\u5b9e\u53ef\u9760\/\" \/>\n<meta property=\"og:locale\" content=\"zh_CN\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"\u4f7f\u7528Python\u8fdb\u884c\u8bed\u8a00\u7684\u5355\u4ef7\u6570\u636e\u6536\u96c6\u548c\u6bd4\u8f83\uff0c\u771f\u5b9e\u53ef\u9760\u7684\u6570\u636e\" \/>\n<meta property=\"og:description\" content=\"\u7531\u4e8e\u6211\u4e00\u76f4\u60f3\u6bd4\u8f83\u548c\u6c47\u603b\u81ea\u7531\u804c\u4e1a\u9879\u76ee\u7684\u8bed\u8a00\u5355\u4ef7\uff0c\u6240\u4ee5\u6211\u8fdb\u884c\u4e86\u5b9e\u9645\u8c03\u67e5\u3002 \u81ea\u7531\u8077\u696d\u6848\u4ef6\u7684\u4fe1\u606f\u662f\u57fa\u4e8e\u4ee5\u4e0b\u7f51\u7ad9\u8fdb\u884c\u6c47\u603b […]\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.silicloud.com\/zh\/blog\/\u4f7f\u7528python\u8fdb\u884c\u8bed\u8a00\u7684\u5355\u4ef7\u6570\u636e\u6536\u96c6\u548c\u6bd4\u8f83\uff0c\u771f\u5b9e\u53ef\u9760\/\" \/>\n<meta property=\"og:site_name\" content=\"Blog - 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