zstd | Zstandard - Fast real-time compression algorithm | Compression library

It's my first Kafka program.

From a kafka_2.13-3.1.0 instance, I created a Kafka topic poids_garmin_brut and filled it with this csv:

I want to use the new parallel facilities of C++17 but my computer don't.

This works :

I have a local python project called jive that I would like to use in an another project. My current method of using jive in other projects is to activate the conda env for the project, then move to my jive directory and use python setup.py install. This works fine, and when I use conda list, I see everything installed in the env including jive, with a note that jive was installed using pip.

But what I really want is to do this with full conda. When I want to use jive in another project, I want to just put jive in that projects environment.yml.

So I did the following:

1. write a simple meta.yaml so I could use conda-build to build jive locally
2. build jive with conda build .
3. I looked at the tarball that was produced and it does indeed contain the jive source as expected
4. In my other project, add jive to the dependencies in environment.yml, and add 'local' to the list of channels.
5. create a conda env using that environment.yml.

When I activate the environment and use conda list, it lists all the dependencies including jive, as desired. But when I open python interpreter, I cannot import jive, it says there is no such package. (If use python setup.py install, I can import it.) How can I fix the build/install so that this works?

Here is the meta.yaml, which lives in the jive project top level directory:

In my work I am using a Fortran based program called SPheno. Having SPheno-4.0.4 installed, I tried to install the new version SPheno-4.0.5, however, when selecting F90 = gfortran in the Makefile, just as I did on my working SPheno-4.0.4 version, it returns me the following error:

I install new modules via the following command in my miniconda

I have a main.go file that I use to run an app that starts a server that exposes a port where I can run endpoints from. I was trying to dockerise it and got as far as making working containers that hold the app and the db, but I still seem to have to run go run main.go after running docker-compose up -d.

I'm trying to download mongoDB golang driver to a project in VS code running this command in the VS code terminal:

I am trying to run the training of stylegan2-pytorch on a remote system. The remote system has gcc (9.3.0) installed on it. I'm using conda env that has the following installed (cudatoolkit=10.2, torch=1.5.0+, and ninja=1.8.2, gcc_linux-64=7.5.0). I encounter the following error:

Good day

I am getting an error while importing my environment: