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苹果手机可以安装AI伴侣进行测试吗? - App Inventor 2 中文网 - 清泛IT社...
...Store搜索“mit app inventor”下载即可,但功能有限。首先,版本较安卓AI伴侣低,特性支持不会那么及时,也就是新增的功能需要一段时间后才能更新到iOS版中。其次,使用了拓展的App一律不支持iOS版AI伴侣的测试,因为拓展目前...
App Inventor 2 项目合并工具:合并多个项目的屏幕、素材及拓展 - App Inve...
AI2合并工具java写的GUI版本,有基础的同学或linux系统下可以执行 java -jar libs/xxx.jar 运行。这里直接做好了免安装jdk、一键启动的Windows版,直接点击 AI2MergerTool.exe 即可运行。开始合并合并工具启动,选择需要合并的2个.aia项目文...
App Inventor 2 本地项目编译工具:本地高速编译,无冷却时间限制 · App I...
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AI2本地编译.apk工具
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AI2本地编译.apk工具
由于项目编译非常消耗服务器资源,因此加入了一定的冷却时间限制,防止因服务器过载导致出现问题,提升...
好消息:离线版aia源码大小及apk打包大小上限均已设为200M - App Inventor ...
离线版的特色就出来了:改为上传50M限制,测试验证通过
离线版福利2:打包apk大小限制30M 改为 200M,已测试验证通过
在线版不能随意提高这个限制,因为服务器资源有限;但是离线版就不一样了,自己的电脑资源,没...
【App发布】关于发布App到应用市场,腾讯申诉不通过的问题 - App Inventor ...
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http://www.javadecompilers.com/apk
https://mogua.co
apk工具Python版:
https://juejin.cn/post/6985091071101370376
安卓危险权限介绍:
https://www.secrss.com/articles/10974
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无短信权限版apk编译服务:
htt...
How do you auto format code in Visual Studio?
... answered Oct 4 '12 at 9:49
ono2012ono2012
4,13722 gold badges2929 silver badges4141 bronze badges
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What is the use of the JavaScript 'bind' method?
... @KhanSharp Your answer is correct, but it is your references to TV-series Friends makes me comment and upvote. Thank you for you answer ????.
– Saurabh Lende
Jun 11 '18 at 9:33
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What is eager loading?
... and number of less critical details, lets say favourite colour, favourite tv program.
To lazy load this class you would initalise it reading in perhaps from a database all the core more frequently used details (say name and date of birth) and only read in the less used details when / if they are n...
Container View Controller Examples [closed]
...UIViewController Containment that hypercrypt already mentioned, Apple WWDC 2012 session on "The Evolution of View Controllers on iOS" also covers this topic and the example code is part of the sample code package:
https://developer.apple.com/devcenter/download.action?path=/wwdc_2012/wwdc_2012_sampl...
Convert unix time to readable date in pandas dataframe
...e'],unit='s')
In [26]: df.head()
Out[26]:
date price
0 2012-10-08 18:15:05 12.08
1 2012-10-09 18:15:05 12.35
2 2012-10-10 18:15:05 12.15
3 2012-10-11 18:15:05 12.19
4 2012-10-12 18:15:05 12.15
In [27]: df.dtypes
Out[27]:
date datetime64[ns]
price float64
dtyp...