fix years

b19519d9 · Nicolas Aspert · d2a0b8ed · b19519d9 · b19519d9
Commit b19519d9 authored 1 month ago by Nicolas Aspert
--- a/README.md
+++ b/README.md
@@ -32,7 +32,7 @@ Follow the below instructions to install it and create an environment for the co
   Windows: open the Anaconda Prompt from the Start menu.
 1. Install git with `conda install git`.
 1. Navigate to the folder where you want to store the course material with `cd path/to/folder`.
-1. Download this repository with `git clone https://gitlab.epfl.ch/lts2/matrix-analysis-2024`.
+1. Download this repository with `git clone https://gitlab.epfl.ch/lts2/matrix-analysis-2025`.
 1. Enter the repository with `cd matrix-analysis-2025`.
 1. Create an environment with the packages required for the course with `conda env create -f environment.yml`.
 1. Run the steps below to start Jupyter. You should be able to run the [`test_install.ipynb`][test_install] notebook.

--- a/test_install.ipynb
+++ b/test_install.ipynb
@@ -5,8 +5,8 @@
   "id": "0e44bd91-51a7-4c56-92e5-c196be7941af",
   "metadata": {},
   "source": [
-    "# [Matrix Analysis'24]: test your installation\n",
-    "[matrix analysis'24]: https://github.com/epfl-lts2/matrix-analysis-2024\n",
+    "# [Matrix Analysis'25]: test your installation\n",
+    "[matrix analysis'25]: https://gitlab.epfl.ch/lts2/matrix-analysis-2025\n",
    "\n",
    "[EPFL LTS2](https://lts2.epfl.ch)"
   ]
@@ -17,7 +17,7 @@
   "metadata": {},
   "source": [
    "This is a mini \"test\" Jupyter notebook to make sure the main packages we'll use are installed.\n",
-    "Run it after following the [installation instructions](https://github.com/epfl-lts2/matrix-analysis-2024#installation)."
+    "Run it after following the [installation instructions](https://gitlab.epfl.ch/lts2/matrix-analysis-2025#installation)."
   ]
  },
  {
@@ -27,7 +27,7 @@
   "source": [
    "## Standalone dependencies\n",
    "\n",
-    "If you get a `command not found` error, try to run `conda install <package-name>` (in the `matrix-analysis-2024` environment, i.e., after `conda activate matrix-analysis-2024`)."
+    "If you get a `command not found` error, try to run `conda install <package-name>` (in the `matrix-analysis-2025` environment, i.e., after `conda activate matrix-analysis-2025`)."
   ]
  },
  {
@@ -84,7 +84,7 @@
   "source": [
    "## Python packages\n",
    "\n",
-    "If you get a `ModuleNotFoundError` error, try to run `conda install <package-name>` (in the `matrix-analysis-2023` environment, i.e., after `conda activate matrix-analysis-2024`)."
+    "If you get a `ModuleNotFoundError` error, try to run `conda install <package-name>` (in the `matrix-analysis-2025` environment, i.e., after `conda activate matrix-analysis-2025`)."
   ]
  },
  {

 %% Cell type:markdown id:0e44bd91-51a7-4c56-92e5-c196be7941af tags:

-# [Matrix Analysis'24]: test your installation
-[matrix analysis'24]: https://github.com/epfl-lts2/matrix-analysis-2024
+# [Matrix Analysis'25]: test your installation
+[matrix analysis'25]: https://gitlab.epfl.ch/lts2/matrix-analysis-2025

 [EPFL LTS2](https://lts2.epfl.ch)

 %% Cell type:markdown id:81936a03-dd2d-4348-af93-828a107ec5c1 tags:

 This is a mini "test" Jupyter notebook to make sure the main packages we'll use are installed.
-Run it after following the [installation instructions](https://github.com/epfl-lts2/matrix-analysis-2024#installation).
+Run it after following the [installation instructions](https://gitlab.epfl.ch/lts2/matrix-analysis-2025#installation).

 %% Cell type:markdown id:2dc4d30c-4162-4347-9ea1-7bc5249c81ee tags:

 ## Standalone dependencies

-If you get a `command not found` error, try to run `conda install <package-name>` (in the `matrix-analysis-2024` environment, i.e., after `conda activate matrix-analysis-2024`).
+If you get a `command not found` error, try to run `conda install <package-name>` (in the `matrix-analysis-2025` environment, i.e., after `conda activate matrix-analysis-2025`).

 %% Cell type:code id:4737f499-386c-463b-8630-85e7bfac5acc tags:

 ``` python
 !conda --version # this will fail on Noto
 ```

 %% Cell type:code id:ec0596c7-967b-4399-81da-6602bbdcc17d tags:

 ``` python
 !git --version
 ```

 %% Cell type:code id:0862c7bf-8ae0-4f9a-b96a-1698e59e4aed tags:

 ``` python
 from platform import python_version

 print(python_version())
 ```

 %% Cell type:code id:41138a01-2426-4cbf-9661-a7e780f06ef4 tags:

 ``` python
 !jupyter --version

 !ipython --version

 !jupyter-lab --version
 !jupyter-notebook --version
 ```

 %% Cell type:markdown id:e3d1d1b1-f09f-44ad-ba14-726451d9898b tags:

 ## Python packages

-If you get a `ModuleNotFoundError` error, try to run `conda install <package-name>` (in the `matrix-analysis-2023` environment, i.e., after `conda activate matrix-analysis-2024`).
+If you get a `ModuleNotFoundError` error, try to run `conda install <package-name>` (in the `matrix-analysis-2025` environment, i.e., after `conda activate matrix-analysis-2025`).

 %% Cell type:code id:a1141b09-2122-4862-8b69-2c9d40187662 tags:

 ``` python
 import numpy as np
 np.__version__
 ```

 %% Cell type:code id:c9537241-0f85-4d72-a62f-039826aa7f8c tags:

 ``` python
 import scipy
 scipy.__version__
 ```

 %% Cell type:code id:3860668d-bb4c-4121-94d5-f4655167afc2 tags:

 ``` python
 import matplotlib as mpl
 mpl.__version__
 ```

 %% Cell type:markdown id:08ef3716-82c6-4d00-bdb8-e9d3225c8b69 tags:

 ## Small test

 %% Cell type:code id:0aa07bd9-448b-4ceb-a3d8-15109cb439e1 tags:

 ``` python
 %matplotlib inline
 ```

 %% Cell type:code id:734b2128-a529-491b-b75e-71874db8de71 tags:

 ``` python
 import matplotlib.pyplot as plt

 def plot_vect(x, b, xlim, ylim):
    '''
    function to plot two vectors,
    x - the original vector
    b - the transformed vector
    xlim - the limit for x
    ylim - the limit for y
    '''
    plt.figure(figsize = (10, 6))
    plt.quiver(0,0,x[0],x[1],\
        color='k',angles='xy',\
        scale_units='xy',scale=1,\
        label='Original vector')
    plt.quiver(0,0,b[0],b[1],\
        color='g',angles='xy',\
        scale_units='xy',scale=1,\
        label ='Transformed vector')
    plt.xlim(xlim)
    plt.ylim(ylim)
    plt.xlabel('X')
    plt.ylabel('Y')
    plt.legend()
    plt.show()
 ```

 %% Cell type:code id:c493443b-930d-49ba-ae19-823e5dae362c tags:

 ``` python
 A = np.array([[2, 0],[0, 1]])

 x = np.array([1, 1])
 b = np.dot(A, x.T)
 plot_vect(x,b,(0,3),(0,2))
 ```

 %% Cell type:code id:c6002c2a-1d9c-4ca3-aa11-7f4b5cf0c30a tags:

 ``` python
 ```