Fix typos in README and exercises files

exercises/README.md

@@ -19,7 +19,7 @@ purpose, require using more functionalities of Julia ecosystem that is covered
 in the book. This is meant to teach you how to use help and documentation,
 as this is a very important skill to master.
 
-The files containing exercises have a naming convention `execricesDD.md`, where
+The files containing exercises have a naming convention `exercisesDD.md`, where
 `DD` is book chapter number for which the exercises were prepared.
 
 All the exercises should be possible to solve using project environment setting

exercises/exercises02.md

@@ -64,7 +64,7 @@ and the error accumulates when we do addition multiple times.
 than rational 1/7 by increasing the precision of computations using the `big`
 function:
 ```
-julia> big(1/7) # convert Floa64 to high-precision float
+julia> big(1/7) # convert Float64 to high-precision float
 0.142857142857142849212692681248881854116916656494140625
 
 julia> 1/big(7) # construct high-precision float directly
@@ -187,7 +187,7 @@ Note the differences in the code:
 * if there are `0` or `1` element in the collection the function does not do
   anything (depending on the context we might want to throw an error instead)
 * in `x[begin], x[end] = x[end], x[begin]` we perform two assignments at the
-  same time to avoid having to use a temporaty variable `f` (this operation
+  same time to avoid having to use a temporary variable `f` (this operation
   is technically called tuple destructuring; we discuss it in later chapters of
   the book)
 

exercises/exercises04.md

@@ -302,7 +302,7 @@ julia> for i in 1:40
 20   18.100 μs (0 allocations: 0 bytes)
 ```
 
-Notice that execution time for number `n` is roughly sum of ececution times
+Notice that execution time for number `n` is roughly sum of execution times
 for numbers `n-1` and `n-2`.
 
 </details>

exercises/exercises07.md

@@ -9,11 +9,11 @@
 ### Exercise 1
 
 Random.org provides a service that returns random numbers. One of the ways
-how you can use it is by sending HTTP GET reguests. Here is an example request:
+how you can use it is by sending HTTP GET requests. Here is an example request:
 
 > https://www.random.org/integers/?num=10&min=1&max=6&col=1&base=10&format=plain&rnd=new
 
-If you want to understand all the parameters plese check their meaning
+If you want to understand all the parameters please check their meaning
 [here](https://www.random.org/clients/http/).
 
 For us it is enough that this request generates 10 random integers in the range

exercises/exercises14.md

@@ -385,7 +385,7 @@ plot([bar(string.(g.n), g.mv;
           yerror=(g.mv - g.lo95, g.hi95-g.mv)) for g in gdf]...)
 ```
 
-As expected error bandwidth gets smaller as `k` encreases.
+As expected error bandwidth gets smaller as `k` increases.
 Note that as `n` increases the estimated value tends to `1-exp(-1)`.
 
 </details>