Hello I'm totally new to Pharo and Smalltalk, but not new to programming. I want to learn Pharo and Smalltalk especially to use Moose, Roasall and other data visualization frameworks. Where should I start? I have lot of time to study and want something intensive with exercises and a solid theory background. thanks Soseki Ichiro -- View this message in context: http://forum.world.st/Hello-tp4771473.html Sent from the Pharo Smalltalk Users mailing list archive at Nabble.com.
Hi! Welcome!! Probably the best to start is the following: 1 - Read Pharo by example (http://pharobyexample.org) Probably until Chapter 9. Note that Pharo has evolved quite a bit since the book has been released. So you fill face some differences 2 - For Roassal, you may start from: http://agilevisualization.com There is not much yet, only a quick start chapter. Give a try! 3 - For Moose there is: http://www.moosetechnology.org and in particular http://www.themoosebook.org/book We are doing a large effort of documentation. Try and give us feedback on what works and what does not. We will help you Cheers, Alexandre -- _,.;:~^~:;._,.;:~^~:;._,.;:~^~:;._,.;:~^~:;._,.;: Alexandre Bergel http://www.bergel.eu ^~:;._,.;:~^~:;._,.;:~^~:;._,.;:~^~:;._,.;:~^~:;. On Aug 1, 2014, at 3:34 PM, Ichiseki <is076@outlook.com> wrote:
Hello I'm totally new to Pharo and Smalltalk, but not new to programming. I want to learn Pharo and Smalltalk especially to use Moose, Roasall and other data visualization frameworks. Where should I start? I have lot of time to study and want something intensive with exercises and a solid theory background. thanks Soseki Ichiro
-- View this message in context: http://forum.world.st/Hello-tp4771473.html Sent from the Pharo Smalltalk Users mailing list archive at Nabble.com.
http://pharo.org/documentation isn't too bad a place to start. Deep into Pharo is worth it. Interesting things in here too: https://ci.inria.fr/pharo-contribution/job/PharoForTheEnterprise/lastSuccess... And http://stephane.ducasse.free.fr/FreeBooks/BlueBook/ looks like a must read to me. Enjoy, Phil On Fri, Aug 1, 2014 at 10:05 PM, Alexandre Bergel <alexandre.bergel@me.com> wrote:
Hi!
Welcome!!
Probably the best to start is the following: 1 - Read Pharo by example (http://pharobyexample.org) Probably until Chapter 9. Note that Pharo has evolved quite a bit since the book has been released. So you fill face some differences
2 - For Roassal, you may start from: http://agilevisualization.com There is not much yet, only a quick start chapter. Give a try!
3 - For Moose there is: http://www.moosetechnology.org and in particular http://www.themoosebook.org/book
We are doing a large effort of documentation. Try and give us feedback on what works and what does not. We will help you
Cheers, Alexandre -- _,.;:~^~:;._,.;:~^~:;._,.;:~^~:;._,.;:~^~:;._,.;: Alexandre Bergel http://www.bergel.eu ^~:;._,.;:~^~:;._,.;:~^~:;._,.;:~^~:;._,.;:~^~:;.
On Aug 1, 2014, at 3:34 PM, Ichiseki <is076@outlook.com> wrote:
Hello I'm totally new to Pharo and Smalltalk, but not new to programming. I want to learn Pharo and Smalltalk especially to use Moose, Roasall and other data visualization frameworks. Where should I start? I have lot of time to study and want something intensive with exercises and a solid theory background. thanks Soseki Ichiro
-- View this message in context: http://forum.world.st/Hello-tp4771473.html Sent from the Pharo Smalltalk Users mailing list archive at Nabble.com.
Welcome! You have some chapter on Roassal on Deep into Pharo book. Do not hesitate to ask questions even the one you think are stupid :) Stef On 1/8/14 21:34, Ichiseki wrote:
Hello I'm totally new to Pharo and Smalltalk, but not new to programming. I want to learn Pharo and Smalltalk especially to use Moose, Roasall and other data visualization frameworks. Where should I start? I have lot of time to study and want something intensive with exercises and a solid theory background. thanks Soseki Ichiro
-- View this message in context: http://forum.world.st/Hello-tp4771473.html Sent from the Pharo Smalltalk Users mailing list archive at Nabble.com.
participants (4)
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Alexandre Bergel -
Ichiseki -
phil＠highoctane.be -
stepharo