Update episodes from Literate.jl source files

episodes/02_Getting_started.md

@@ -154,6 +154,28 @@ help?> ∂
 Great! This way she can easily look up the names she needs.
 She gets back to normal mode by pressing <kbd>backspace</kbd>.
 
+:::::: challenge
+
+## Exploring Julia's Help Mode
+
+Help mode can also be used to look up the documentation for Julia functions.
+Use Julia's help mode to read the documentation for the `varinfo()` function.
+
+:::::: solution
+
+## Solution
+
+
+::::::
+
+If you are not already in help mode, type `?` to enter it. Then write `varinfo` and press enter.
+
+    ```julia
+    ?varinfo
+    ```
+
+::::::
+
 Another useful mode is the *shell mode* that can be
 entered by pressing <kbd>;</kbd>. The prompt has now changed:
 
@@ -167,7 +189,69 @@ Like before, hit <kbd>backspace</kbd> to get back to the Julia prompt.
 
 :::::: challenge
 
-## Hello, `shell>` !
+## Hello, `shell>` (`pwd` and `cd`) !
+
+Two commonly used shell commands are `pwd` (**p**rint **w**orking **d**irectory) and `cd` (**c**hange **d**irectory).
+
+ 1. Use `pwd` to find out what is your current working directory.
+ 2. Type the command `cd` in shell mode, which by default will bring you to your "home directory".
+ 3. Use `pwd` again. Did you get a different result from before? Why or why not?
+
+:::::: solution
+
+## Solution
+
+```julia
+shell> pwd
+```
+
+```julia
+shell> cd
+```
+
+```julia
+shell> pwd
+```
+
+::::::
+
+The working directory is the location from which you launched Julia.
+To navigate to a different directory, you can use the `cd` command by entering: `cd <directory>`. By default, this command will return you to your home directory if a specific directory is not given.
+If you initially launched Julia from your home directory, the working directory remains unchanged, so the output of the second `pwd` command will be identical to the first.
+Conversely, if you were in a different directory when you started Julia, the results of the two `pwd` commands will differ.
+You can use `cd -` to go back to your previous location.
+
+::::::
+
+:::::: challenge
+
+## Hello, `shell>` (`ls`)!
+
+Another useful shell command is `ls` (*list files*).
+Use it to show the contents of your home directory.
+
+:::::: solution
+
+## Solution
+
+```julia
+shell> cd
+```
+
+```julia
+shell> ls
+```
+
+::::::
+
+The first `cd` command will bring you to your home directory.
+`ls` will print a list of the files and directorys in your current location.
+
+::::::
+
+:::::: challenge
+
+## Hello, `shell>` (`nano` and `cat`)!
 
 Use the shell mode to create a file called `hello.jl` with the nano terminal text editor.
 Inside that file write the simple hello world program `print("Hello World!")`.

episodes/04_Using_the_package_manager.md

@@ -121,7 +121,7 @@ environment.
 ````
 Status `~/projects/trebuchet/Project.toml`
   [f6369f11] ForwardDiff v0.10.38
-  [295af30f] Revise v3.6.2
+  [295af30f] Revise v3.6.3
   [98b73d46] Trebuchet v0.2.2
 
 ````

episodes/07_Loops.md

@@ -106,8 +106,8 @@ Trebuchet( rand() * 500, rand() * pi/2 )
 
 ````output
 2-element Trebuchet:
- 301.45863866265444
-   0.5147801124901857
+ 228.38576259167743
+   1.0428133782844782
 ````
 
 will give her a Trebuchet with a weight between 0 and 500 and a release angle between 0 and pi/2 radians at random.
@@ -121,9 +121,9 @@ distances = [shoot_distance(Trebuchet(rand() * 500, rand() * pi / 2), env) for _
 
 ````output
 3-element Vector{Float64}:
- 107.31486215571258
- 116.5961233156913
-   3.006112235174449
+ 75.81435701587722
+ 83.01842049268829
+ 67.14411448705451
 ````
 
 This is called an _array comprehension_.
@@ -138,16 +138,16 @@ distances = [(w,a) => shoot_distance(Trebuchet(w, a), env) for (w, a) in zip(wei
 
 ````output
 10-element Vector{Pair{Tuple{Float64, Float64}, Float64}}:
-   (316.3006668666567, 0.2763285950708336) => 101.94306047739477
- (184.81067380921974, 0.21663020097625554) => 87.01600131363767
- (118.28342636599143, 0.16251023948500737) => 71.41041926553547
-   (495.4627412106457, 0.2337213045007839) => 100.84254397856022
-  (121.54718006057836, 1.2933538749770221) => 44.31450096256152
-   (50.49083319279707, 1.3999293689100087) => 18.58057814648708
-  (463.0506320312314, 0.32643937336190937) => 108.22484752113716
- (296.1556297915833, 0.035353940515857406) => 62.1859221237384
-    (134.340007097649, 1.2511802453356395) => 51.71612933008983
-   (493.7526856775179, 0.5068383250394274) => 118.81200975980546
+  (3.3334597480246253, 0.7838682352298685) => 0.6815707596179541
+   (210.78228935379622, 1.381946534840864) => 35.85286633327975
+   (401.5993709331619, 0.2185755446723246) => 96.9029165112703
+   (174.8500444474639, 1.3802675063026215) => 34.83498096430634
+   (459.5195474131575, 0.6388081196321991) => 117.62925382680423
+   (325.9792258612826, 1.4742042308383514) => 23.118879918525415
+ (424.04535348026496, 0.13367159006587603) => 84.32898973441384
+    (367.203106692998, 0.6088354356429886) => 117.46105246416498
+  (12.984772128024124, 1.5235451260228559) => 0.6815707596179541
+  (10.485349585032166, 0.6353974863672037) => 0.6815707596179541
 ````
 
 ### Gradient descent

episodes/10_Adding_tests.md

@@ -55,7 +55,7 @@ end
 ````
 
 ````output
-Test.DefaultTestSet("Test arithmetic equalities", Any[], 1, false, false, true, 1.731584626736792e9, 1.731584626767338e9, false)
+Test.DefaultTestSet("Test arithmetic equalities", Any[], 1, false, false, true, 1.731669987513481e9, 1.731669987543832e9, false)
 ````
 
 With this Melissa can run her test using the pkg mode of the REPL: