Sell ​​- KCR Converter Convert Kindle Cloud Reader to DRM-free PDF, EPUB, Mobi, AZW3, TXT with 1 click. | Proxies-free

Hi Guys! I'm selling
Epubor KCR Converter

A clear and simple tool that allows you to extract Kindle books from the Kindle Cloud Reader and then convert the Kindle Cloud Reader to the popular ePub / Mobi / AZW3.

Features and characteristics:

  • Requirements: Use Chrome to access Kindle Cloud Reader, ensure offline reading, downloading, and pinning books.
  • Remove DRM directly from Kindle Cloud Reader. You don't need to install the Kindle desktop app or use the Kindle e-ink device.
  • The easiest way to remove Kindle DRM and convert Kindle eBooks.
  • License details:1 year license with free updates and support
  • System requirements:
    Windows Vista / 7/8/10

Price: $ 5

PayPal – (Email protected)

After receipt of payment write the postal address in PM, I will send you the program.

Convert Kindle Cloud Reader to PDF / EPUB / Mobi / AZW3 / TXT with just one click
No installation of Kindle for PC / Mac No need for a Kindle eReader

KCR Converter is a lightweight tool that allows you to export Kindle books from Kindle Cloud Reader, remove the copy protection from Digital Rights Management, and convert your Kindle books to PDF, EPUB, MOBI, TXT, or AZW3 format can. Simply open KCR Converter, select the output format and click the “Convert” button. The books you downloaded from Kindle Cloud Reader are converted to DRM-free files in the format you choose.

With this clear and simple tool, you can read Kindle books on any e-book reader and have complete control over your Kindle books by backing them up to your computer permanently.

How do I download Kindle books from Kindle Cloud Reader?

Step 1. Install the Google Chrome browser if you don't already have it.

Step 2. Add the Kindle Cloud Reader Chrome extension to your Chrome browser.

Step 3. Sign in to your Amazon Kindle Cloud Reader in the Chrome browser.

Step 4. Right click on the Kindle book and select "Download & Pin Book".

Step 5. The Kindle book is then displayed on the Downloaded tab with the green icon under the book cover.


How do I convert Kindle Cloud Reader to PDF / EPUB / Mobi / AZW3?
Step 1. Start the KCR converter. All Kindle books that you have downloaded and pinned will automatically appear in the KCR Converter main window.

Step 2. Check the box on the left side of the books you want to compile
Invert the output format and click the "Convert to …" button to start the conversion.

Read more here –


View a SharePoint document library in multiple teams (Cloud Storage OR Document Library tab)

This really depends on the permissions for the library you want to include and whether it should look like part of the channel's Files tab or not.

It is not easy for end users to see when using the cloud storage approach that it is actually a completely separate library. It is only indicated by a weak link symbol in the folder itself. I would say if you use this method make sure that all members of this channel can edit documents in the library that you are adding.

Enter the image description here

The top folder in this screenshot was added using the cloud storage feature. Notice the faint display on the folder icon.

Note: You mention in your question that you have folder in this library that you want to share with different O365 groups. If you use both methods (cloud storage and separate tab), you can only point to the root of a document library, not a single folder.

My recommendation would be to try both methods and find out what works best for users, or you can even use both!

Nothing happens to the library you link to, and you can remove both the tab and cloud storage at any time, depending on which one you ultimately use.

This also answers the second part of your question. Nothing will change in the permissions for the team to which you are adding the library or for the library itself.

Google Cloud Platform – Is it possible to get the result of an operation Speech to Text Recognition based on its ID (Python)?

I am trying to get the response to a successfully executed long_running_recognize request (Speech_v1p1beta1) using its ID.
I know how to do this job from the console using the SDK

gcloud ml speech operations wait 

But I can't find a right way to do this with Python. All my attempts to solve the problem have so far been unsuccessful.
Any help is greatly appreciated.

Mirror the Phabricator repository into the GCP Cloud Source Respository

I am using Phabricator to host my source code repository and I want to use GCP Cloud Build for continuous build. One approach that I find visible is too

  1. Set up the Phabricator repo mirror in the GCP Cloud Source Repository (SSH key required)
  2. Once I enter the GCP world, I can use Cloud Build to connect to the source repository for continuous integration, etc.

In step 1, I want to use a service account so the Phabricator server can mirror the code without being tied to a specific technician.

The problem is that Git Push requires an SSH key, but I don't seem to be able to create an SSH key for the GCP service account.

Does anyone have a suggestion on how to mirror the Phabricator repository into the GCP Cloud Source Respository?

Applications – Get nested data from the Firebase Cloud Firestore

I'm using Cloud Firestore for an Android app, but I don't know how to access my nested data like an array of a certain class. I have an object that can get what's in the first element (the one with & # 39; 0 & # 39;), I used the same structure in the real-time database and it works.

db.collection("Years").document("First Year").get()
            .addOnSuccessListener{dataSnapshot ->


            .addOnFailureListener{exception ->
                Toast.makeText(baseContext, "Error ${exception.message}", Toast.LENGTH_SHORT).show()


Spring Cloud Data Flow – Task – Pass a command line argument

I find it difficult to successfully complete a simple task in Spring Cloud Data Flow (SCDF). I just wanted to do that.

    public void run(String... args) throws Exception {
                "Passed argument : " + args(0)

I am using the Docker Compose installation method for local testing. SCDF seems to overtake Mariadb as a driver. I'm not sure where to override these defaults.

Enter the image description here

With SCDF, arguments can be passed on every run. I could pass the following argument to overwrite the Mariadb driver.

Enter the image description here

However, the value is selected as a command line argument. I can't pass the command line argument !!

2020-04-02 03:08:32.557  INFO 115 --- (           main) c.v.cloudtask.CloudTaskApplication       : Started CloudTaskApplication in 2.719 seconds (JVM running for 3.267)
Passed argument : --spring.datasource.driverClassName=com.mysql.cj.jdbc.Driver
2020-04-02 03:08:32.595 DEBUG 115 --- (           main)  

1) How can I force the MySQL driver to be used and not use Mariadb?
2) How are command line arguments passed?

export – Exports a chart as .eps in the cloud version

Nice day,

I am an absolute beginner with Mathematica and in the desktop version I can simply select my diagram and export it as .eps. I can't figure out how to do it in the cloud version, just right click and save it as .png.
For example, I run Shift + Enter and export it to the desktop, but I have no idea how the cloud version works.

Domain Name System – Use CLOUD DNS to manage custom DNS for my customers

I need to manage a custom domain for my customer in my app engine.
I saw "Cloud DNS" with which I can give NS to my customers, they update their NS to their DNS and the game is finished.
So my customers will connect them to my
URL when use go to remains

I can't find any cloud DNS documentation used with the App Engine. Is this possible?

I actually tried to set up cloud DNS, I did SOA   21600 1 21600 3600  259200 300   NS  21600
                         CNAME   300

My customer specified the correct configuration of the registrar (DNS was added to me by Google) for his DNS.

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gnupg – Use unique GPG keys per session to store backups in cloud storage

I want to encrypt the daily backups of my server and send them as a backup to Dropbox / Google Drive / etc.

I've read about different approaches. Assuming symmetrical encryption (passphrase instead of public / private key pair), people seem to: tare, compress, encrypt with a passphrase (using gpg) and upload the result to cloud storage.

Then I found this comment (edited for brevity):

I wouldn't use the same passphrase over and over again to encrypt your files. Instead, I would generate a file that contains a number of random bytes and use it as the key to mine .tar.bz2.gpg File. I would then encrypt this random file with my 100-digit passphrase and upload it together with the backup file. (Basically, I would create a session key that would encrypt my data and use the 100-digit string as the master key to decrypt the session keys.) You can automate this and maintain secrecy in the event that one of your backup session keys is compromised, and the ability to decrypt a particular backup without losing control of your master key.

If I understand that correctly, for each backup (via a bash script):

  1. Create the backup 2020-01-01.backup.tar.bzip2 (Date is just an example)
  2. Generate a random passphrase and save it as 2020-01-01.passphrase.txt
  3. to use 2020-01-01.passphrase.txt to encrypt 2020-01-01.backup.tar.bzip2 to get 2020-01-01.backup.tar.bzip2.gpg
  4. Encrypt 2020-01-01.passphrase.txt with my "Master" passphrase (which I keep on my local box) 2020-01-01.passphrase.txt.gpg
  5. upload 2020-01-01.backup.tar.bzip2.gpg and 2020-01-01.passphrase.txt.gpg to cloud storage

The comment above says that this is more secure since the others, if a backup / passphrase is compromised, are still safe because they use different passphrases.

But I'm a little confused. If the master passphrase is compromised ("hacked" / guessing / whatever), all backups are compromised. It just seems to be another level of direction.

This only makes sense if the master passphrase is MUCH longer (more entropy) than any session passphrase – e.g. 100 characters versus 20 characters. But why not just add 100 characters to every session?

Is my understanding of this strategy correct and can you see any pitfalls that I should consider?