diff --git a/Furuta/Introduction.ipynb b/Furuta/Introduction.ipynb
index 253b7e10babd2f556a657ea4d19dd8f5832daf07..d7f2828fe752a362f25eec9eb6842aeb6b9db5ea 100644
--- a/Furuta/Introduction.ipynb
+++ b/Furuta/Introduction.ipynb
@@ -23,22 +23,14 @@
"source": [
"One useful feature of Jupyter Notebooks is that they allow mixing text (with fancy formatting) and executable code (organized in \"cells\"), and that the results of executing code gets printed.\n",
"\n",
- "If you click in the below code cell, containing the code `print (\"I can see the output!\")`, and press shift+enter, then you should indeed see the output."
+ "If you click in the below code cell, containing the code `print (\"I can see the output!\")`, and press shift+enter (or shift+return), then you should indeed see the output."
]
},
{
"cell_type": "code",
- "execution_count": 1,
- "metadata": {},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "I can see the output.\n"
- ]
- }
- ],
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
"source": [
"print(\"I can see the output.\")"
]
@@ -49,14 +41,14 @@
"source": [
"You should now see the text \"I can see the output.\", and the cell should have been give a number which is shown to the left of the cell, telling us that it was the first cell to be executed. If you execute the cell again, it should get the number 2 instead.\n",
"\n",
- "This notebook uses python as the programming language to execute, but jupyter can handle many other programming languages as well. \n",
+ "This notebook uses python as the programming language to execute code cells, but jupyter can handle many other programming languages as well. \n",
"\n",
"Let's define a function in one cell and use it in the next."
]
},
{
"cell_type": "code",
- "execution_count": 2,
+ "execution_count": null,
"metadata": {},
"outputs": [],
"source": [
@@ -66,20 +58,9 @@
},
{
"cell_type": "code",
- "execution_count": 3,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/plain": [
- "0.42"
- ]
- },
- "execution_count": 3,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
"source": [
"f(1.2)"
]
@@ -88,21 +69,21 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "There are more ways to execute the cells in a notebook than pressing shift+enter, including the buttons just above the notebook, and via the menus at the top, but we will not focus on them now."
+ "There are more ways to execute the cells in a notebook than pressing shift+enter, including using the buttons in the toolbar just above the notebook, and via the menus at the top, but we will not focus on them now."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
- "At the bottom left of the screen, there should now be a text saying that we are using a Python 3 kernel, and that the kernel is currently *Idle*. When we run a longer computation, we will see that change to *Busy* instead. There is also a place at the top right where it says that the kernel is Python 3, with a nearby circle. When a computation is running, the circle will be filled.\n",
+ "At the bottom left of the screen, there should now be a text saying that we are using a Python 3 kernel, and that the kernel is currently *Idle*. When we run a longer computation, we will see that change to *Busy* instead. There is also a place at the top right where it says that the kernel is Python 3, with a nearby circle. While a computation is running, the circle will be filled.\n",
"\n",
- "Let's try something that keeps the kernel \"busy\" for 10 seconds..."
+ "Let's try something that keeps the kernel \"busy\" for 10 seconds. Execute the following code cell, and look at the indicators to see that the kernel becomes *Busy* during the execution."
]
},
{
"cell_type": "code",
- "execution_count": 4,
+ "execution_count": null,
"metadata": {},
"outputs": [],
"source": [
@@ -114,69 +95,20 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "We will use Julia as our programming language of choice, but before we can do that, we need to install a Julia kernel in your home directory that jupyter can use. That can be done with the command below, so do run it, and wait until it the kernel is no longer busy.\n",
+ "This initial notebook uses Python as its programming language, but we will use Julia as our programming language of choice. Before jupyter can run julia code, we need to install a package that tells jupyter how to run a julia \"kernel\" for a notebook. \n",
+ "\n",
+ "That installation can be performed using the terminal that you used to run `git` to get access to this notebook, but we will use our Python kernel to execute the command instead.\n",
"\n",
- "(It can take quite a bit of time, depending on the performance of the network-mounted home directory.)"
+ "Run the code in the below cell, and wait until it the kernel is again *Idle*. (This can take quite a bit of time, depending on the performance of your network-mounted home directory.)\n",
+ "\n",
+ "If you see any error message, you may want to ask us about how to fix the situation."
]
},
{
"cell_type": "code",
- "execution_count": 5,
- "metadata": {},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- " Resolving package versions...\n",
- " Installed ZeroMQ_jll ────── v4.3.2+4\n",
- " Installed VersionParsing ── v1.2.0\n",
- " Installed SoftGlobalScope ─ v1.1.0\n",
- " Installed Conda ─────────── v1.4.1\n",
- " Installed IJulia ────────── v1.21.2\n",
- " Installed ZMQ ───────────── v1.2.1\n",
- "Downloading artifact: ZeroMQ\n",
- "######################################################################## 100.0% ##O#-# 9.9% 20.2%\n",
- "\u001b[1A\u001b[2K\u001b[?25h Updating `~/.julia/environments/v1.4/Project.toml`\n",
- " [7073ff75] + IJulia v1.21.2\n",
- " Updating `~/.julia/environments/v1.4/Manifest.toml`\n",
- " [8f4d0f93] + Conda v1.4.1\n",
- " [7073ff75] + IJulia v1.21.2\n",
- " [682c06a0] + JSON v0.21.0\n",
- " [739be429] + MbedTLS v1.0.2\n",
- " [c8ffd9c3] + MbedTLS_jll v2.16.6+1\n",
- " [69de0a69] + Parsers v1.0.7\n",
- " [b85f4697] + SoftGlobalScope v1.1.0\n",
- " [81def892] + VersionParsing v1.2.0\n",
- " [c2297ded] + ZMQ v1.2.1\n",
- " [8f1865be] + ZeroMQ_jll v4.3.2+4\n",
- " [2a0f44e3] + Base64 \n",
- " [ade2ca70] + Dates \n",
- " [8ba89e20] + Distributed \n",
- " [7b1f6079] + FileWatching \n",
- " [b77e0a4c] + InteractiveUtils \n",
- " [76f85450] + LibGit2 \n",
- " [8f399da3] + Libdl \n",
- " [56ddb016] + Logging \n",
- " [d6f4376e] + Markdown \n",
- " [a63ad114] + Mmap \n",
- " [44cfe95a] + Pkg \n",
- " [de0858da] + Printf \n",
- " [3fa0cd96] + REPL \n",
- " [9a3f8284] + Random \n",
- " [ea8e919c] + SHA \n",
- " [9e88b42a] + Serialization \n",
- " [6462fe0b] + Sockets \n",
- " [8dfed614] + Test \n",
- " [cf7118a7] + UUIDs \n",
- " [4ec0a83e] + Unicode \n",
- " Building Conda ─→ `~/.julia/packages/Conda/3rPhK/deps/build.log`\n",
- " Building IJulia → `~/.julia/packages/IJulia/DrVMH/deps/build.log`\n",
- " Building Conda ─→ `~/.julia/packages/Conda/3rPhK/deps/build.log`\n",
- " Building IJulia → `~/.julia/packages/IJulia/DrVMH/deps/build.log`\n"
- ]
- }
- ],
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
"source": [
"!julia --eval \"import Pkg; Pkg.add(\\\"IJulia\\\"); Pkg.build(\\\"IJulia\\\"); using IJulia\""
]
@@ -185,21 +117,18 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "If the indicators at the bottom left and top right show that the kernel is idle, and if the cell has been given a number, then the julia kernel should have been installed and be ready to use. Now we need to restart the server, and then Julia should be available to us.\n",
- "\n"
+ "If the indicators at the bottom left and top right show that the kernel is idle, and if the cell has been given a number, then the julia kernel should have been installed and be ready to use. Now we need to restart jupyterlab, and then Julia should be available to us."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
- "To restart, you need to do 3 things.\n",
+ "To restart, can do simply log out using the File menu, and then log in again.\n",
"\n",
- " 1. Select the menu item \"File\" --> \"Hub Control Panel\"\n",
- " 2. Stop the server\n",
- " 3. Start the server again\n",
+ "(Alternatively, you can use the File menu to access the Hub control panel, and then stop your server, and start it again.)\n",
" \n",
- "Then you should get back to this view of the files, and continue with the notebook named Julia.ipynb."
+ "You should then get back to the jupyterlab interface, and you should continue by opening the notebook named Julia.ipynb."
]
},
{
@@ -213,7 +142,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "If we have more than one person trying to access the lab processes at any one time, the lab computers only allow a single user to have a jupyterlab server running at a time. Therefore, when you stop working on the lab, you should stop your server, the same way you just did, and then, when you want to resume your work, your server needs to be restarted again."
+ "If we have more than one person trying to access the lab processes at any one time, the lab computers only allow a single user to have a jupyterlab server running at a time. Therefore, when you stop working on the lab, you should stop your server, either by logging out or via the hub control panel, and then, when you want to resume your work, your server needs to be restarted again."
]
},
{
diff --git a/Furuta/Julia.ipynb b/Furuta/Julia.ipynb
index 05dc3b688c7b722a0628a489162c2f82665641d8..2e0827b8b1690731efa36325cab54b8ac020392b 100644
--- a/Furuta/Julia.ipynb
+++ b/Furuta/Julia.ipynb
@@ -36,206 +36,111 @@
"Now, try the following code snippets, and make sure you understand what is happening. "
]
},
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "First, let's define a few values: a number, a string, a vector, a matrix, a function, and finally the same function in a different way."
+ ]
+ },
{
"cell_type": "code",
- "execution_count": 1,
+ "execution_count": null,
"metadata": {},
- "outputs": [
- {
- "data": {
- "text/plain": [
- "g (generic function with 1 method)"
- ]
- },
- "execution_count": 1,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
+ "outputs": [],
"source": [
- "function f(x)\n",
- " return sin(x)\n",
- "end\n",
+ "a = 2\n",
+ "b = \"Hello\"\n",
+ "c = [ 1 2 3 ]\n",
+ "d = [ 1 2; 3 4 ]\n",
+ "e(x) = sin(x)^2\n",
"\n",
- "g(x) = sin(x)"
+ "function f(x) \n",
+ " sin(x)^2\n",
+ "end"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Let's look at them"
]
},
{
"cell_type": "code",
- "execution_count": 2,
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "@show a\n",
+ "@show b\n",
+ "@show c\n",
+ "@show d\n",
+ "@show e\n",
+ "@show f;"
+ ]
+ },
+ {
+ "cell_type": "markdown",
"metadata": {},
- "outputs": [
- {
- "data": {
- "text/plain": [
- "0.9092974268256817"
- ]
- },
- "execution_count": 2,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
"source": [
- "f(2)"
+ "(The `;` ending the last line is not needed at all, and it just stops jupyter from showing the result.)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Let's call the function "
]
},
{
"cell_type": "code",
- "execution_count": 3,
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "@show e(2)\n",
+ "@show f(2)\n",
+ "@show f(d);"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "We note that our function worked just as well on a matrix as on a number, because it used the operations `sin` and `^2` and both of those have definitions for both numbers and matrices."
+ ]
+ },
+ {
+ "cell_type": "markdown",
"metadata": {},
- "outputs": [
- {
- "data": {
- "text/plain": [
- "0.9092974268256817"
- ]
- },
- "execution_count": 3,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
"source": [
- "g(2)"
+ "We can load the package named Plots and we can then plot the function we defined. (Loading a package the first time takes a bit longer than subsequent loads.)"
]
},
{
"cell_type": "code",
- "execution_count": 4,
+ "execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"using Plots"
]
},
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "We create a vector `xs` of numbers from 0 to 10, and a vector `ys` defined via an \"array comprehension\". There are several ways of defining vectors and matrices in Julia, and this just shows two of them."
+ ]
+ },
{
"cell_type": "code",
- "execution_count": 5,
+ "execution_count": null,
"metadata": {},
- "outputs": [
- {
- "data": {
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- " 2009.7,155.698 2155.72,155.698 \n",
- " \"/>\n",
- "<path clip-path=\"url(#clip980)\" d=\"M 0 0 M2193.9 175.385 Q2192.09 180.015 2190.38 181.427 Q2188.67 182.839 2185.79 182.839 L2182.39 182.839 L2182.39 179.274 L2184.89 179.274 Q2186.65 179.274 2187.62 178.44 Q2188.6 177.607 2189.78 174.505 L2190.54 172.561 L2180.05 147.052 L2184.57 147.052 L2192.67 167.329 L2200.77 147.052 L2205.29 147.052 L2193.9 175.385 Z\" fill=\"#000000\" fill-rule=\"evenodd\" fill-opacity=\"1\" /><path clip-path=\"url(#clip980)\" d=\"M 0 0 M2211.17 169.042 L2218.8 169.042 L2218.8 142.677 L2210.49 144.343 L2210.49 140.084 L2218.76 138.418 L2223.43 138.418 L2223.43 169.042 L2231.07 169.042 L2231.07 172.978 L2211.17 172.978 L2211.17 169.042 Z\" fill=\"#000000\" fill-rule=\"evenodd\" fill-opacity=\"1\" /></svg>\n"
- ]
- },
- "execution_count": 5,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
+ "outputs": [],
"source": [
"xs = range(0, 10, length=100)\n",
"ys = [ f(x) for x in xs ]\n",
@@ -244,138 +149,62 @@
]
},
{
- "cell_type": "code",
- "execution_count": 6,
+ "cell_type": "markdown",
"metadata": {},
- "outputs": [],
"source": [
- "using LinearAlgebra"
+ "Matrix-vector operations use `'` for transposition, and `*` for the multiplication operations."
]
},
{
"cell_type": "code",
- "execution_count": 7,
+ "execution_count": null,
"metadata": {},
- "outputs": [
- {
- "data": {
- "text/plain": [
- "2×2 Array{Int64,2}:\n",
- " 1 2\n",
- " 3 4"
- ]
- },
- "execution_count": 7,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
+ "outputs": [],
"source": [
"A = [ 1 2; 3 4 ]"
]
},
{
"cell_type": "code",
- "execution_count": 8,
+ "execution_count": null,
"metadata": {},
- "outputs": [
- {
- "data": {
- "text/plain": [
- "2-element Array{Int64,1}:\n",
- " 0\n",
- " 1"
- ]
- },
- "execution_count": 8,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
+ "outputs": [],
"source": [
"B = [ 0; 1 ]"
]
},
{
"cell_type": "code",
- "execution_count": 10,
+ "execution_count": null,
"metadata": {},
- "outputs": [
- {
- "data": {
- "text/plain": [
- "1×2 Adjoint{Int64,Array{Int64,1}}:\n",
- " 0 1"
- ]
- },
- "execution_count": 10,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
+ "outputs": [],
"source": [
"B'"
]
},
{
"cell_type": "code",
- "execution_count": 9,
+ "execution_count": null,
"metadata": {},
- "outputs": [
- {
- "data": {
- "text/plain": [
- "2-element Array{Int64,1}:\n",
- " 2\n",
- " 4"
- ]
- },
- "execution_count": 9,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
+ "outputs": [],
"source": [
"A*B"
]
},
{
"cell_type": "code",
- "execution_count": 11,
+ "execution_count": null,
"metadata": {},
- "outputs": [
- {
- "data": {
- "text/plain": [
- "1×2 Adjoint{Int64,Array{Int64,1}}:\n",
- " 3 4"
- ]
- },
- "execution_count": 11,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
+ "outputs": [],
"source": [
"B'*A"
]
},
{
"cell_type": "code",
- "execution_count": 12,
+ "execution_count": null,
"metadata": {},
- "outputs": [
- {
- "data": {
- "text/plain": [
- "4"
- ]
- },
- "execution_count": 12,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
+ "outputs": [],
"source": [
"B'*A*B"
]
@@ -384,7 +213,41 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "When you feel a bit more familiar with Julia, there are other notebooks here for the actual Labs."
+ "There are many packages that can be loaded, and we will some more later in this course. As one additional example, we perform singular value decomposition and eigendecomposition of our matrix."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "using LinearAlgebra"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "svd(A)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "eigen(A)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "This was our very brief introduction to Julia, and you can now continue to the notebooks for the actual labs."
]
},
{
@@ -397,15 +260,15 @@
],
"metadata": {
"kernelspec": {
- "display_name": "Julia 1.4.2",
+ "display_name": "Julia 1.5.0",
"language": "julia",
- "name": "julia-1.4"
+ "name": "julia-1.5"
},
"language_info": {
"file_extension": ".jl",
"mimetype": "application/julia",
"name": "julia",
- "version": "1.4.2"
+ "version": "1.5.0"
}
},
"nbformat": 4,