remove reference to FIRST_STEPS.md, now subsumed into INSTALLATION.md

DEVELOPER_NOTES.md

@@ -7,7 +7,7 @@ All tutorials use a common Project.toml/Manifest.toml pair, located at
 the root level.
 
 **IMPORTANT** Always ensure the version of Julia used to generate this pair matches what
-is declared in `/FIRST_STEPS.md`. This needs to match `JULIA_VERSION` defined in
+is declared in `INSTALLATION.md`. This needs to match `JULIA_VERSION` defined in
 src/HelloJulia.jl.
 
 

INSTALLATION.md

@@ -55,10 +55,8 @@ workshop!
 
 ## Running the demos and tutorials
 
-!!! Note
-
-    Running notebooks for the first time may involve delays due to 
-	precompilation of newly installed packages.
+**Note.** Running notebooks for the first time may involve delays due to precompilation of
+newly installed packages.
 
 After starting a new Julia session, enter these commands:
 

README.md

@@ -56,11 +56,41 @@ Some random resources for Julia newcomers:
   Julia](https://juliaai.github.io/DataScienceTutorials.jl/)
 
 
-## First steps
+## Other ways to learn Julia
 
-- [Installing Julia on my computer](/FIRST_STEPS.md)
+### If you have little or no prior programming experience
 
-- [HelloJulia demos and tutorials](INSTALLATION.md)
+Many people use R, python or MATLAB packages with a minimum of actual
+programming knowledge and the same applies to Julia. However, to start
+deepening your Julia programming knowledge, you could try some of the
+resources at this [Julia org page](https://julialang.org/learning/)
+(e.g., [juliaAcademy](https://juliaacademy.com)). I have also heard
+that the book [Think
+Julia](https://benlauwens.github.io/ThinkJulia.jl/latest/book.html) is
+a pretty good ab initio introduction to programming.
+
+
+### If you have moderate to advanced programming experience elsewhere
+
+If you are already python proficient, check out
+[this](https://colab.research.google.com/drive/1G04w8tTl074180DP_Ka9X44r_pndUYxq?usp=sharing#scrollTo=9at61Y3LLJWX)
+Colab notebook.
+
+My strong recommendation would be to read Aaron Christinson's tutorial
+[Dispatching Design
+Patterns](https://github.com/ninjaaron/dispatching-design-patterns)
+which is nicely compressed in his [half-hour
+video presentation](https://www.youtube.com/watch?v=n-E-1-A_rZM).
+
+These [points of
+difference](https://docs.julialang.org/en/v1/manual/noteworthy-differences/)
+between Julia and other popular languages may also be useful.
+
+Serious Julia developers will want a copy of [Hands-On Design Patterns
+and Best Julia Practices with Julia](https://www.perlego.com/book/1365831/handson-design-patterns-and-best-practices-with-julia-proven-solutions-to-common-problems-in-software-design-for-julia-1x-pdf?utm_source=google&utm_medium=cpc&gclid=CjwKCAjw_L6LBhBbEiwA4c46uv-v5MDWoUCnOsWjAsPQ1OWcownNPPDrKDhhlwNbGG69_zSNFwyM5RoCMgcQAvD_BwE) by Tom Kwong. This is the book
+I wished existed when I started. I learned Julia from the
+[manual](https://docs.julialang.org/en/v1/) which is, however,
+excellent.
 
 
 ## Advanced setup
@@ -79,6 +109,7 @@ Once you are familiar with basic interaction using the REPL, you will want to:
   - Juptyer notebooks (used also for R and python) - follow [these
 	instructions](https://github.com/JuliaLang/IJulia.jl).
   - [Pluto](https://github.com/fonsp/Pluto.jl) "reactive" notebooks (specific to Julia)
+  These formats are also provided by the HelloJulia.jl [tutorials](INSTALLATION.md).
 
 
 ## Getting help
@@ -99,41 +130,6 @@ channel](https://julialang.org/slack/). Also useful:
 - `apropos("invert")` seaches for objects with "invert" in the doc string.
 
 
-## Learning Julia
-
-### If you have little or no prior programming experience
-
-Many people use R, python or MATLAB packages with a minimum of actual
-programming knowledge and the same applies to Julia. However, to start
-deepening your Julia programming knowledge, you could try some of the
-resources at this [Julia org page](https://julialang.org/learning/)
-(e.g., [juliaAcademy](https://juliaacademy.com)). I have also heard
-that the book [Think
-Julia](https://benlauwens.github.io/ThinkJulia.jl/latest/book.html) is
-a pretty good ab initio introduction to programming.
-
-
-### If you have moderate to advanced programming experience elsewhere
-
-If you are already python proficient, check out
-[this](https://colab.research.google.com/drive/1G04w8tTl074180DP_Ka9X44r_pndUYxq?usp=sharing#scrollTo=9at61Y3LLJWX)
-Colab notebook.
-
-My strong recommendation would be to read Aaron Christinson's tutorial
-[Dispatching Design
-Patterns](https://github.com/ninjaaron/dispatching-design-patterns)
-which is nicely compressed in his [half-hour
-video presentation](https://www.youtube.com/watch?v=n-E-1-A_rZM).
-
-These [points of
-difference](https://docs.julialang.org/en/v1/manual/noteworthy-differences/)
-between Julia and other popular languages may also be useful.
-
-Serious Julia developers will want a copy of [Hands-On Design Patterns
-and Best Julia Practices with Julia](https://www.perlego.com/book/1365831/handson-design-patterns-and-best-practices-with-julia-proven-solutions-to-common-problems-in-software-design-for-julia-1x-pdf?utm_source=google&utm_medium=cpc&gclid=CjwKCAjw_L6LBhBbEiwA4c46uv-v5MDWoUCnOsWjAsPQ1OWcownNPPDrKDhhlwNbGG69_zSNFwyM5RoCMgcQAvD_BwE) by Tom Kwong. This is the book
-I wished existed when I started. I learned Julia from the
-[manual](https://docs.julialang.org/en/v1/) which is, however,
-excellent.
 
 **Acknowledgements.** Some slides used in the presentation for this
 workshop, and included [here](/slides), are based on material