Currently this defaults to 5 hours (based on the code here). You can override this by launching chrome with the extensions-update-frequency command-line parameter, which is the frequency in seconds. And you can go to chrome://extensions, tick the Developer mode checkbox at the top right, then press the Update Extensions Now button Chrome docs doesn’t specify … Read more
I have two potential reasons dealing with your problem: Thread related issue, depending on cellphone or tablet’s type of processors (how many threads can run simultaneously) keep in mind that cordoba-webintent is an async based call. Both same versions (cordoba-webintent and cordoba) might missing common plugins. (Plugins was meant to be there but not incuded!) … Read more
Cristian here says: your Application data will be remain when user install updates. But it must be with the same package name to detect as an update of previous App. EboMike in Warning Android user that app update could lead to losing data from old app version? says: Quite frankly, losing data due to an … Read more
The first time you generate your site it will take about 10 minutes for it to show up. Subsequent builds take only seconds from the time you push the changes to your GitHub repository. However, depending on how your have your domain configured, there may be extra time for the CDN cache to break. Note: … Read more
<p:commandXxx process> <p:ajax process> <f:ajax execute> The process attribute is server side and can only affect UIComponents implementing EditableValueHolder (input fields) or ActionSource (command fields). The process attribute tells JSF, using a space-separated list of client IDs, which components exactly must be processed through the entire JSF lifecycle upon (partial) form submit. JSF will then … Read more
You can use df.at: for i, row in df.iterrows(): ifor_val = something if <condition>: ifor_val = something_else df.at[i,’ifor’] = ifor_val For versions before 0.21.0, use df.set_value: for i, row in df.iterrows(): ifor_val = something if <condition>: ifor_val = something_else df.set_value(i,’ifor’,ifor_val) If you don’t need the row values you could simply iterate over the indices of … Read more