Thanks to visit codestin.com
Credit goes to github.com

Skip to content

Minor docs & env updates on the Jupyter kernel #2767

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
merged 2 commits into from
Jul 8, 2024
Merged
Show file tree
Hide file tree
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
24 changes: 0 additions & 24 deletions appveyor.yml

This file was deleted.

14 changes: 0 additions & 14 deletions ci/azure_install_macos.sh

This file was deleted.

32 changes: 32 additions & 0 deletions doc/src/installation.md
Original file line number Diff line number Diff line change
Expand Up @@ -185,6 +185,38 @@ You can run the following examples manually in a terminal:
./src/bin/lpython --show-c examples/expr2.py
```

## Enabling the Jupyter Kernel

To install the Jupyter kernel, install the following Conda packages also:
```
conda install xeus=5.1.0 xeus-zmq=3.0.0 nlohmann_json
```
and enable the kernel by `-DWITH_XEUS=yes` and install into `$CONDA_PREFIX`. For
example:
```
cmake . -GNinja \
-DCMAKE_BUILD_TYPE=Debug \
-DWITH_LLVM=yes \
-DWITH_XEUS=yes \
-DCMAKE_PREFIX_PATH="$CONDA_PREFIX" \
-DCMAKE_INSTALL_PREFIX="$CONDA_PREFIX"
.
ninja install
```
To use it, install Jupyter (`conda install jupyter`) and test that the LPython
kernel was found:
```
jupyter kernelspec list --json
```
Then launch a Jupyter notebook as follows:
```
jupyter notebook
```
Click `New->LPython`. To launch a terminal jupyter LPython console:
```
jupyter console --kernel=lpython
```

## Found a bug?
Please report any bugs you find at our issue tracker [here](https://github.com/lcompilers/lpython/issues). Or, even better, fork the repository on GitHub and create a Pull Request (PR).

Expand Down
Loading