widely | Static Site as a Service using AWS S3 | AWS library

How SSL works is well know as it's quite widely used and described well every where. In short - SSL involves

1. Verifying server authenticity by client by verifying the servers X.509 certificate.
2. Then arriving at a symmetric key using diffie-hellman key exchange algorithm.

But I am not sure what happens withsecurity.protocol=SASL_SSL. Clients and Server communication of few technologies like Kafka etc rely on this security protocol as one of the option. Here I am worried about the point 1 above. If i get a wrong broker address (as a trick ) from some one, does SASL_SSL verify the server certificate or not is my question. If it does, then I can be sure that the received broker is not genuine and my application will not publish or subscribe to messages from this server and my data is safe.

Edit 1: Following @steffen-ullrich answer and comments And little more dig, i see below. Looks like the certificate validation is happening when used through chrome and probably its loaded in the cacerts too. So the java code is able to authenticate the server.. so seems ok..

Edit 2: Right the certificates DST and ISRG are preloaded in the JDK 11 cacerts, so the client is able to authenticate the server as commented by Stephen.

I have a dataframe with column grade which contains categorical values. My problem result in the fact, that the type of the values are float and not object.

Hash Functions are incredibly useful and versatile. In general, they are used to map a space to one much smaller space. Of course that means that two objects may hash to the same value (collision), but this is because you are reducing the space (pigeonhole principle). The efficiency of the function largely depends on the size of the hash space.

It comes as a surprise then that a lot of Java hashCode functions are using multiplication to produce the hash code of a new object as e.g. follows (creating-a-hashcode-method-java)

The company I work for distributes document assembly software that uses the python-docx library. The software runs a function on every generated document that opens the document and does a simple search and replace for characters that weren't escaped properly (namely "& amp;" -> "&").

FYI The actual document assembly uses python-docx-template. However, the error happens after the document has already been assembled and the error is triggered by the search-and-replace function, which only uses python-docx.

Recently, we've had a few cases where documents are failing to generate on client deployments. They're throwing an error on this line where the document object is instantiated:

There is a warning on the Firebase best practices documentation against using Firebase with multi-tenant applications: https://firebase.google.com/docs/projects/learn-more#multi-tenancy

This is what I am most concerned about: "Multi-tenancy can lead to serious configuration and data privacy concerns problems, including unintended issues with analytics aggregation, shared authentication, overly-complex database structures, and difficulties with security rules."

There is also plenty of official Google documentation supporting the use of Firebase for multi-tenancy, for instance: https://cloud.google.com/identity-platform/docs/multi-tenancy-authentication .

Do you know why they would have these conflicting recommendations and examples? Does use of Google Identity Platform fix the core security deficits mentioned in the warning?

I am re-posting this question, with additional clarification in the title, and a few edits/removals from the body, to specify that I am only looking for why this widely used product has this particular warning in its official documentation. I have removed most subjective content. I have no opinion on this that is relevant to the question - I am only looking to understand the warning. It seemed there was one good answer before the previous question was closed, so I will link that here for reference: Why is Google Firebase not recommended by Google in their own documentation for multi-tenant applications?

Python beginner here...

Trying to understand how to use OneHotEncoder from the sklearn.preprocessing library. I feel pretty confident in using it in combination with fit_transform so that the results can also be fit to the test dataframe. Where I get confused is what to do with the resulting encoded array. Do you then convert the ohe results back to a dataframe and append it to the existing train/test dataframe?

The ohe method seems a lot more cumbersome than the pd.get_dummies method, but from my understanding using ohe with fit_transform makes it easier to apply the same transformation to the test data.

Searched for hours and having a lot of trouble trying to find a good answer for this.

Example with the widely used Titanic dataset:

I tried to plot all the iso-surfaces generated by the Marching cube LUT by Paul Brouke (http://paulbourke.net/geometry/polygonise/). I chose the vertices to be the midpoint of the edges by the triTable LUT. I am getting these highly skewed surfaces, I am trying to figure out if I am making any error. Here is the matlab code for that.

The results I am getting do not appear to be symmetries of the 14 unique configurations that MC is supposed to provide.. I would like to know where I am going wrong.. I am sure the LUT is right because the source has been used widely..

I need to download the first paragraph of every article in every major widely spoken language wikipedia is available. Preferably, in plain text with no formatting.

I found this URL:

https://en.wikipedia.org/w/api.php?action=query&format=json&titles=Socrates&prop=extracts&exintro&explaintext

Unfortunately, I had to know the title of every article. So, I figured I could use pageid instead:

https://en.wikipedia.org/w/api.php?action=query&format=json&pageids=25664190&prop=extracts&exintro&explaintext

Start with pageids=0 and increment until pageids=INT_MAX.

For a different widely spoken language like German I can simply change the domain to de:

https://de.wikipedia.org/w/api.php?action=query&format=json&pageids=4649&prop=extracts&exintro&explaintext

The final URL is:

https://%LLD%.wikipedia.org/w/api.php?action=query&format=json&pageids=%PAGE_ID%&prop=extracts&exintro&explaintext

Where

LLD = Low level domain of the country

PAGE_ID = Integer

I can't make sense of data dumps and this is the simplest way I found to do the job. Since, I really don't want to get my IP banned after say 10,000 articles, how frequent should I crawl for a different PAGE_ID?

I need a metric so it can be as performant as possible.

MAJOR EDIT

There is no hard and fast limit on read requests, but we ask that you be considerate and try not to take a site down. Most sysadmins reserve the right to unceremoniously block you if you do endanger the stability of their site.

If you make your requests in series rather than in parallel (i.e. wait for the one request to finish before sending a new request, such that you're never making more than one request at the same time), then you should definitely be fine. Also try to combine things into one request where you can (e.g. use multiple titles in a titles parameter instead of making a new request for each title

API FAQ states you can retrieve 50 pages per API request.

For crawling a total of 70,000,000 pageids in series of 50 pageids once every X amount of time it will take:

(70,000,00 / 50) * 200ms = 3 days

(70,000,00 / 50) * 500ms = 8 days

(70,000,00 / 50) * 1sec = 16 days

Will I definitely be fine even if choose once every 200ms?

I am new to FreeRTOS and have been reading the FreeRTOS documentation and writing simple code using FreeRTOS on an STM32F767 Nucleo Board. In the simple program that I wrote, I used Binary Semaphores only to signal certain tasks when LPTIM and GPIO interrupts occur through xSemaphoreGiveFromISR(), and to signal a different task to perform certain operations from another task through xSemaphoreGive().

Suppose that I have an I2C1 peripheral connected to two different equipments:

• An accelerometer that triggers a GPIO interrupt to the microcontroller whenever an activity/movement occurs. This GPIO interrupt signals the microcontroller that a piece of data inside its Interrupt Event registers must be read so that the next activity/movement event can be signalled again.
• An equipment that must be read from periodically, which will be triggered through an LPTIM or TIM peripheral

Can I use a Mutex and a Binary Semaphore in the situation above?

The Binary Semaphores will indicate to the task that an operation needs to be performed based on the respective interrupts that were triggered, but the Mutex will be shared between those two tasks, where Task1 will be responsible with reading data from the accelerometer, and Task2 will be responsible for reading data from the other equipment. I was thinking that a Mutex will be used since these two operations should never occur together, so that there are no overlapping I2C transactions that happen on the bus that could potentially lock up either of the I2C devices.

The code would look like the following: