Raku Recipes A Problem-Solution Approach

Explore Raku problems and solutions using the latest version of the Raku programming language. In Raku Recipes, the emphasis is on applying Raku code to various important tasks and applications including data science, analytics, microservices, and desktop/console applications. There are also fun one-liner script recipes and instructions on how to create mini-languages of your very own.    

1. How do I start to put (Perl 6|Raku|Camelia) to use in a real world environment.
1. Get your tools ready.
Put concepts from other languages to use in Perl 6.
2. Get involved in the community.
3. Install some external and useful modules.
4. Detect OS environment and change program behavior according to it.
2. Input and output
Read files handled as arguments
1. Read and process files asynchronously
2. Connect input and output of external utilities and files.
3. Read and process binary files.
4. Watch a file for changes
3. Data science and data analytics
1. How do I extract unique email addresses/user names from several files.
2. How do I create a weighted random number generator.
How do I work with a spreadsheet, filtering by row or column, or sorting, or converting row into columns or the other way round.
3. How do I apply a series of transformations to a group of elements and then extract a single quantity from them.
4. How do I create a random data generator
5. How do I process big, structured files.
4. Math
How can you generate mathematical sequences and extract random elements from it.
1. Program a divide-and-conquer algorithm.
2. Work with matrices.
3. Compute Mandelbrot’s and Julia’s set
4. Look for pairs of integers with a certain property, such as friendly numbers or contiguous primes, to use infinite precision integers.
Configuration and execution of programs.
1. Configure a program using JSON/YAML/.ini files.
2. Configure a command line command with flags and arguments.
3. Use shell environment variables in my program.
4. Advanced/distributed configuration with etcd
Create a Docker container for an application to distribute it easily
5. Automation of system tasks.
1. Check log for certain events.
2. Check logs interactively on the console.
3. Check git commits for patterns, metadata, or store them.
Clean up your Docker image store.
4. Process the last persons logged to our system
6. Perl 6 modules
7. Design classes, roles and modules in Perl 6.
8. Document your module.
9. Test your module.
10. Release it as an open source module for every one.
11. Use multiple dispatch to speed up applications.

1. Design an exception hierarchy.
2. Deliver meaningful error messages to the user.
3. Catch and deal with errors in your program.
4. Debug your application in CommaIDE.
5. Make grammars fail graciously with pretty errors.

1. Query a GeoIP database
Download and extract information from a web site.
2. Use a web API to get information from a site.
3. Check IP and addresses by querying Internet services.

1. Scrape markdown documents.
2. Generate a set of static web pages
3. Create a dictionary and do fast searches over it
4. Compute differences in plain texts

1. Create a microservice.
2. Work with web sockets, connecting to a client.
3. Respond to web hooks.
4. Create a mini-bot for Telegram or Slack.
5. Test your microservice.

1. Work with relational databases.
Interface with Redis.
2. Use an ORM for hight-level data description and access.
3. Work with MongoDB.
4. Extract information from WikiData

Use full-console UI.
1. Create an application that uses system windows.
2. Package your application for release.
3. Make it work with other desktop applications by using service buses.
4. Use a common desktop application framework.

1. Embed Python programs.
2. Embed Perl programs.
3. Run external programs and capture output.
4. Wrap external libraries in C with NativeCall.
5. Work with image processing libraries.

1. Use data parallelism with hyper/race.
Work with asynchronous input/output
2. Work with concurrency using channels and threads.
3. Create powerful concurrent programs
4. Monitor concurrency using CommaIDE.

1. Use mini-languages that show off their possibilities
2. Create and process a mini-language for recipes.
3. Process recipes and generate reports.
Resume common language patterns.
4. Convert grammar into a full recipe-processing application that generates HTML or other external format.