TRANSITIONING TO GO SEP 20 2023 Robert Pająk pellared @ GitHub SplunkHello whoami fundamentals going further more, more q&a 01 02 03 04 05whoamiROBERT PAJĄK Go maintainer Go language Tour of Go 2. Read and try: How to Write Go Code 3. Read and follow: Effective Go 4. Read and follow: CodeReviewComments 5. Check: Go by Examplehttps://go.dev/tourhttps://go.dev/doc/codehttps://go.dev com/golang/go/wiki/CodeReviewCommentshttps://gobyexample.comgoing furtherhttps://www.gopl.iohttps://go.dev/ref/memhttps://exercism.orghttps://quii.gitbook.io/learn-go-with-testshttps://go101.orghttps://go.dev/blogmore

success when it is ready to commit to full-scale Agile adoption. However, when a program has decided to “go Agile” and formally adopt the methodology as a development approach, the government must commit to operations. It allows adaptation, so that a mission can continue even when the operation does not go as planned. For Agile, the overall plan represents the intent. If the plan does not work as expected architecture. Similar technical reviews can be decomposed to the release level. Figure 16: Transitioning Large Formal Technical Reviews to Smaller, More Frequent, Iterative Reviews28 While Agile systems

nda 1. Transitioning to Go - Robert Pajak 2. Break / Your announcements (OpenSource, event etc.); Developer, engineer, lead lost & found || Grab coffee/beer/food; 3. Hedged requests in Go - Oleg Kovalov

for investing in many complex data platforms. Adoption for New Solutions is Long and Costly Transitioning from legacy architectures to a unified view often requires organizational alignment, costly investments

a tuple of values is spliced into a varargs call precisely where the variable number of arguments go. This need not be the case, however:CHAPTER 9. FUNCTIONS 85 julia> x = (2, 3, 4) (2, 3, 4) julia> function body into the REPL to debug it—you have to add global annotations and then remove them again to go back; 2. Beginners will write this kind of code without the global and have no idea why their code myfilter(Apadded, kernel, NoPad()) # indicate the new boundary conditions end # other padding methods go here function myfilter(A, kernel, ::NoPad) # Here's the "real" implementation of the core computation

a tuple of values is spliced into a varargs call precisely where the variable number of arguments go. This need not be the case, however:CHAPTER 9. FUNCTIONS 85 julia> x = (2, 3, 4) (2, 3, 4) julia> function body into the REPL to debug it—you have to add global annotations and then remove them again to go back; 2. Beginners will write this kind of code without the global and have no idea why their code myfilter(Apadded, kernel, NoPad()) # indicate the new boundary conditions end # other padding methods go here function myfilter(A, kernel, ::NoPad) # Here's the "real" implementation of the core computation

a tuple of values is spliced into a varargs call precisely where the variable number of arguments go. This need not be the case, however:CHAPTER 9. FUNCTIONS 85 julia> x = (2, 3, 4) (2, 3, 4) julia> function body into the REPL to debug it—you have to add global annotations and then remove them again to go back; 2. Beginners will write this kind of code without the global and have no idea why their code myfilter(Apadded, kernel, NoPad()) # indicate the new boundary conditions end # other padding methods go here function myfilter(A, kernel, ::NoPad) # Here's the "real" implementation of the core computation

a tuple of values is spliced into a varargs call precisely where the variable number of arguments go. This need not be the case, however:CHAPTER 9. FUNCTIONS 85 julia> x = (2, 3, 4) (2, 3, 4) julia> function body into the REPL to debug it—you have to add global annotations and then remove them again to go back; 2. Beginners will write this kind of code without the global and have no idea why their code myfilter(Apadded, kernel, NoPad()) # indicate the new boundary conditions end # other padding methods go here function myfilter(A, kernel, ::NoPad) # Here's the "real" implementation of the core computation

a tuple of values is spliced into a varargs call precisely where the variable number of arguments go. This need not be the case, however:CHAPTER 9. FUNCTIONS 85 julia> x = (2, 3, 4) (2, 3, 4) julia> function body into the REPL to debug it—you have to add global annotations and then remove them again to go back; 2. Beginners will write this kind of code without the global and have no idea why their code myfilter(Apadded, kernel, NoPad()) # indicate the new boundary conditions end # other padding methods go here function myfilter(A, kernel, ::NoPad) # Here's the "real" implementation of the core computation

a tuple of values is spliced into a varargs call precisely where the variable number of arguments go. This need not be the case, however:CHAPTER 9. FUNCTIONS 85 julia> x = (2, 3, 4) (2, 3, 4) julia> function body into the REPL to debug it—you have to add global annotations and then remove them again to go back; 2. Beginners will write this kind of code without the global and have no idea why their code myfilter(Apadded, kernel, NoPad()) # indicate the new boundary conditions end # other padding methods go here function myfilter(A, kernel, ::NoPad) # Here's the "real" implementation of the core computation