diff --git a/slides.qmd b/slides.qmd
index cac1171322e12809a450f03434cffd6912f3e12c..8b709a5f4662041625592e7674ca2efda77c7601 100644
--- a/slides.qmd
+++ b/slides.qmd
@@ -13,57 +13,79 @@ author:
# Python
-* Invented by Guido van Rossum in XXXX
+::::{.columns}
+
+
+:::{.column width=75%}
+* Invented by Guido van Rossum in 1991
* Usually considered to have a simple syntax
* Interpreted scripting lanuage
* De-facto standard in many data science fields
+:::
-## Interpreter
+:::{.column width=15%}
+
+:::
+
+::::
+
+# Interpreter
* Python is not compiled^[this is true but also not true] but interpreted on runtime
* The interpreter can be called directly
```{raw}
- python3 my_scripy.py
- ```
-* Scripts can define an interpreter in the shebang
+ python3 my_script.py
```
+* Scripts can define an interpreter in ther [shebang](https://en.wikipedia.org/wiki/Shebang_(Unix))
+ ```{.raw .python}
#!/usr/bin/env python3
+ print("Hello world!")
```
# Standard library
-* Python organizes code in individual packages
-* [Standard library](https://docs.python.org/3/library/index.html) provide extensive built-in facilities (`os`, `sys`, `datetime`, `itertools`, ...)
+* Python code is organized in [modules](https://docs.python.org/3/tutorial/modules.html) and [packages](https://docs.python.org/3/tutorial/modules.html#packages)
+* The [standard library](https://docs.python.org/3/library/index.html) provides extensive built-in facilities</br>
+ (`sys`, `re`, `datetime`, `pathlib`, ...)
+
+ ```{python}
+ #| echo: true
+ from random import randint
+
+ print(randint(0, 42))
+ ```
# External packages {auto-animate=true}
* The python package index ([PyPI](https://pypi.org)) is a centralized repository for third-party packages
-* Everyone can register packages under a not yet taken name (first come first serve)
-* Packages can be installed using the built-in package manager pip:
+* Everyone can register packages under a not yet taken name</br>
+ (first come first serve)
+* Packages can be installed using the built-in package manager [pip](https://docs.python.org/3/installing/index.html):
```{raw}
python3 -m pip install numpy
```
# Package manager
-* A package manager is a software that helps you to manage different version of packages and their dependencies
+* A package manager helps you to install different versions of packages and their dependencies
* General purpose package manager (`brew`, `apt-get`, `conda`, ...)
* Python package manager (`pip`, `conda`, ...)
-# _Virtual_ Environments
+# Virtual environments
-* Manage different sets of python packages
-* Allows you to have a stable combination of package versions
-* Pure python tools (`virtualenv`, ...)
-* Tools to handle general software environments (`conda`, ...)
+* Allows you to have a specific combination of libraries/binaries/packages for a project
+* You can manage different environments side-by-side
+* [`venv`](https://docs.python.org/3/library/venv.html) (formerly known as `virutalenv`) is shipped with the standard library
+* Tools to handle general software environments (e.g. `conda`)
# (Ana)conda
-* `conda` is a general purpose package manager provided by Anacond Inc.
-* `conda` allows you to install
- 1. handle virtual environments
- 2. with different python interpreters
- 3. and install python packages
+* `conda` is a general purpose package manager
+* `conda` allows you to _i)_ create virtual environments
+ _ii)_ with different python interpreters,
+ _iii)_ install python packages,
+ _iv)_ and other software/libraries (e.g. ecCodes, NetCDF, ...)
+* Due to restricted system permissions, `conda` became quite popular among HPC users
# The amazing world of snakes {.national}
@@ -97,38 +119,34 @@ author:
# (micro)mamba
-* `mamba` is a drop-in replacement for `conda` written in C++
-* Conflict resolution is **much** faster
-* Can be installed without any pre-occupied environment (`micromamba`)
+::::{.columns}
-# Setting up an environment
+:::{.column width=75%}
+* [`mamba`](https://mamba.readthedocs.io/en/latest/index.html) is a drop-in replacement for `conda` written in C++
+* Conflict resolution is **much** faster
+* Can be installed as self-contained single-file executable (`micromamba`, well-fitted for CI)
+:::
-```{raw}
-mamba create -n my_env python=3.12
-mamba activate my_env
-mamba install matplotlib numpy scipy
-```
+:::{.column width=15%}
+
+:::
-# Recreating an environment {auto-animate=true visibility="uncounted"}
+::::
-Specify environment name, python version and dependencies:
-```{.yaml filename=environment.yaml}
-name: my_env
-channels:
- - conda-forge
-dependencies:
- - matplotlib
- - numpy
- - scipy
-```
+# Setting up an environment
-Create a new environment based on your configuration:
-```{raw}
-mamba env create -f environment.yaml
-mamba activate my_env
-```
+* Interactively create and populate a virtual environment
+ ```{raw}
+ mamba create -n my_env python=3.12
+ mamba activate my_env
+ mamba install matplotlib numpy scipy eccodes
+ ```
+* Some packages might only be installable via `pip`: ^[Always un `pip` last] ^[Use the correct `pip`]
+ ```{raw}
+ python -m pip install gribscan
+ ```
-# Recreating an environment {auto-animate=true}
+# Recreating an environment
Specify environment name, python version and dependencies:
```{.yaml filename=environment.yaml}
@@ -139,6 +157,7 @@ dependencies:
- matplotlib
- numpy
- scipy
+ - eccodes
- pip:
- gribscan
```
@@ -161,10 +180,14 @@ mamba activate my_env
```{raw}
python3 -m ipykernel install --name my_env
```
-* The current environment should be available as kernel in Jupyter
+* The environment is now available as kernel in jupyter
# Conclusions
-* Use virtual environments to organize your work
-* Keep track of installed packages in an `environment.yaml` file
-* If in doubt, use `micromamba` to do so
+* Use virtual environments to organize dependencies for your projects
+* Keep track of installed packages using an `environment.yaml` file
+* If in doubt, use `micromamba`
+
+:::{.fragment}
+Python has nothing to do with snakes---it is named after "Monty Python"
+:::
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