Merge pull request #5 from pitmonticone/main
Fix typos in README and exercises files
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@ -12,7 +12,7 @@ Extras:
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* in the `/lectures` folder for each book chapter you can find a Jupyter
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Notebook file with code from this chapter (note that the code is slightly
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adjusted in comparison to code contained in .jl files in the root folder
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to accomodate it for running in Jupyter Notebook).
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to accommodate it for running in Jupyter Notebook).
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## Setting up your environment
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@ -19,7 +19,7 @@ purpose, require using more functionalities of Julia ecosystem that is covered
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in the book. This is meant to teach you how to use help and documentation,
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as this is a very important skill to master.
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The files containing exercises have a naming convention `execricesDD.md`, where
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The files containing exercises have a naming convention `exercisesDD.md`, where
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`DD` is book chapter number for which the exercises were prepared.
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All the exercises should be possible to solve using project environment setting
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@ -64,7 +64,7 @@ and the error accumulates when we do addition multiple times.
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than rational 1/7 by increasing the precision of computations using the `big`
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function:
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```
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julia> big(1/7) # convert Floa64 to high-precision float
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julia> big(1/7) # convert Float64 to high-precision float
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0.142857142857142849212692681248881854116916656494140625
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julia> 1/big(7) # construct high-precision float directly
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@ -187,7 +187,7 @@ Note the differences in the code:
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* if there are `0` or `1` element in the collection the function does not do
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anything (depending on the context we might want to throw an error instead)
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* in `x[begin], x[end] = x[end], x[begin]` we perform two assignments at the
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same time to avoid having to use a temporaty variable `f` (this operation
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same time to avoid having to use a temporary variable `f` (this operation
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is technically called tuple destructuring; we discuss it in later chapters of
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the book)
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@ -302,7 +302,7 @@ julia> for i in 1:40
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20 18.100 μs (0 allocations: 0 bytes)
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```
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Notice that execution time for number `n` is roughly sum of ececution times
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Notice that execution time for number `n` is roughly sum of execution times
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for numbers `n-1` and `n-2`.
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</details>
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@ -9,11 +9,11 @@
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### Exercise 1
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Random.org provides a service that returns random numbers. One of the ways
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how you can use it is by sending HTTP GET reguests. Here is an example request:
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how you can use it is by sending HTTP GET requests. Here is an example request:
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> https://www.random.org/integers/?num=10&min=1&max=6&col=1&base=10&format=plain&rnd=new
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If you want to understand all the parameters plese check their meaning
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If you want to understand all the parameters please check their meaning
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[here](https://www.random.org/clients/http/).
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For us it is enough that this request generates 10 random integers in the range
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@ -385,7 +385,7 @@ plot([bar(string.(g.n), g.mv;
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yerror=(g.mv - g.lo95, g.hi95-g.mv)) for g in gdf]...)
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```
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As expected error bandwidth gets smaller as `k` encreases.
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As expected error bandwidth gets smaller as `k` increases.
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Note that as `n` increases the estimated value tends to `1-exp(-1)`.
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</details>
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