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Update crash course and pset
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‎chapters/crash_course/functions_and_classes.ipynb‎

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"## 1) Basic function syntax\n",
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"\n",
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"A function is defined with `def`.\n",
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"It can receive inputs (parameters) and return an output with `return`.\n"
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"It can receive inputs and (optionally) return an output with `return`.\n"
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{
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"- define classes and create instances,\n",
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"- use constructors, attributes, and methods.\n"
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]
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},
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{
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"cell_type": "markdown",
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"id": "69e3825d",
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"metadata": {},
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"source": [
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"## 12) Mini practice\n",
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"\n",
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"Try these tasks:\n",
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"1. Write a function `cube(x)` that returns `x**3`.\n",
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"2. Write a function with one required argument and one default argument.\n",
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"3. Write a function that returns two values and unpack them.\n",
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"4. Use `lambda` as a `key` to sort a list of tuples by the first item.\n",
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"5. Create a class with two attributes and one method, then create one instance and call the method.\n"
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]
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}
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"metadata": {

‎chapters/crash_course/visualising_data.ipynb‎

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"metadata": {},
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"(sec:visualising_data)=\n",
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"# Visualising Data with Matplotlib\n",
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"# Visualising Data\n",
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"\n",
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"Matplotlib is one of the main plotting libraries in Python.\n",
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"[Matplotlib](https://matplotlib.org) is one of the main plotting libraries in Python.\n",
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"It works especially well with NumPy, because NumPy arrays store numerical data in a form that is easy to plot.\n",
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"## Learning goals\n",
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"- add labels, titles, limits, and legends,\n",
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"- use `fig, ax` for advanced axis control and subplot layouts.\n"
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]
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{
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"cell_type": "markdown",
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"id": "98129841",
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"metadata": {},
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"source": [
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"## 10) Mini practice\n",
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"\n",
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"Try these tasks:\n",
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"1. Plot a simple list of five values with markers only.\n",
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"2. Create an `x` grid with `np.arange(0, 5, 0.5)` and plot `np.sin(x)`.\n",
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"3. Add `xlabel`, `ylabel`, `title`, `xlim`, and `ylim` to one plot.\n",
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"4. Plot `sin(x)` and `cos(x)` in one figure with different styles and a legend.\n",
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"5. Build a 2x2 subplot figure and place one function in each panel.\n"
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]
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"metadata": {

‎chapters/problem_sets/pset_0.ipynb‎

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"# your code here\n"
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{
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"cell_type": "markdown",
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"id": "fbb209bb",
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"metadata": {},
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"source": [
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"## Exercise 0.2: Functions and Classes\n",
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"\n",
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"**(a)** Write a function `cube(x)` that returns `x**3`."
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "543558e8",
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"metadata": {},
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"outputs": [],
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"source": [
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"# your code here\n",
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{
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"cell_type": "markdown",
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"id": "3c761c7d",
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"metadata": {},
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"source": [
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"**(b)** Write a function with one required argument and one default argument."
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "931217b3",
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"metadata": {},
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"outputs": [],
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"source": [
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"# your code here\n",
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]
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{
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"cell_type": "markdown",
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"id": "49d5e372",
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"metadata": {},
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"source": [
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"**(c)** Write a function that returns two values and unpack them."
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "1c7490ac",
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"metadata": {},
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"outputs": [],
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"source": [
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"# your code here\n",
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{
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"cell_type": "markdown",
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"id": "3c109800",
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"metadata": {},
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"source": [
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"**(d)** Use `lambda` as a `key` to sort a list of tuples by the first item."
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]
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},
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"cell_type": "code",
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"execution_count": null,
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"id": "774d7251",
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"metadata": {},
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"outputs": [],
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"source": [
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"# your code here\n",
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]
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"cell_type": "markdown",
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"id": "e45cb3e9",
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"metadata": {},
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"source": [
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"**(e)** Create a class with two attributes and one method, then create one instance and call the method."
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]
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},
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"cell_type": "code",
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"execution_count": null,
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"id": "59aa7657",
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"metadata": {},
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"outputs": [],
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"source": [
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"# your code here\n",
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"metadata": {},
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"source": [
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"## Exercise 0.2: Numerical Programming\n",
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"## Exercise 0.3: Numerical Programming\n",
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"\n",
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"**(a)** Create a grid from 0 to 2 with 9 points using `linspace`, then compute `np.cos(grid)`."
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]
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{
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"cell_type": "markdown",
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"id": "f8d7d211",
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"metadata": {},
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"source": [
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"## Exercise 0.4: Visualising Data\n",
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"\n",
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"**(a)** Plot a simple list of five values with markers only."
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "8bdceae4",
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"metadata": {},
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"outputs": [],
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"source": [
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"# your code here\n",
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]
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},
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{
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"cell_type": "markdown",
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"id": "28533e2a",
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"metadata": {},
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"source": [
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"**(b)** Create an `x` grid with `np.arange(0, 5, 0.5)` and plot `np.sin(x)`."
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "370f3669",
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"metadata": {},
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"outputs": [],
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"source": [
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"# your code here\n",
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{
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"cell_type": "markdown",
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"id": "99a2981e",
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"metadata": {},
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"source": [
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"**(c)** Add `xlabel`, `ylabel`, `title`, `xlim`, and `ylim` to one plot."
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "8c036dcd",
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"metadata": {},
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"outputs": [],
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"source": [
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"# your code here\n",
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{
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"cell_type": "markdown",
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"id": "874ab4b7",
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"metadata": {},
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"source": [
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"**(d)** Plot `sin(x)` and `cos(x)` in one figure with different styles and a legend."
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "4b993e3b",
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"metadata": {},
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"outputs": [],
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"source": [
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"# your code here\n",
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"cell_type": "markdown",
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"id": "535176b1",
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"metadata": {},
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"source": [
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"**(e)** Build a 2x2 subplot figure and place one function in each panel."
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "c4186594",
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"metadata": {},
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"outputs": [],
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"source": [
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"# your code here\n",
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]
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"metadata": {

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