Difference between revisions of "Jobs/M2 DV 2014 lisp-statistiques"
From LRDE
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{{Job |
{{Job |
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|Reference id=M2 DV 2014 lisp-statistiques |
|Reference id=M2 DV 2014 lisp-statistiques |
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| − | |Title=Lisp |
+ | |Title=Lisp for statistics: an alternative to R. |
|Dates=5 - 6 months in 2014 |
|Dates=5 - 6 months in 2014 |
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|Research field=Dynamic Languages |
|Research field=Dynamic Languages |
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|Context=Internship rather development / performances oriented. |
|Context=Internship rather development / performances oriented. |
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|Prerequisites=Having attended my lectures on functional programming. Prior knowledge of Lisp and/or R would help. |
|Prerequisites=Having attended my lectures on functional programming. Prior knowledge of Lisp and/or R would help. |
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| − | |Objectives= |
+ | |Objectives=R is a programming language for statistics. Because of its historical development, it has many similarities with Scheme (a language from the Lisp family), but also many problems: in particular, it is a language which is not compiled. The biggest complaint of its users is therefore its lack of performance. For this (bad) reason a number of totally esoteric features have been added to it. |
The goal of this internship is to study how to port a particular application of R to an equivalent one in Common Lisp. The first objective (which is certain) is to achieve a much higher level of performance than that of the original application. The long term goal is to consider a new implementation of R (or of a subset of R) over Common Lisp, with the intuition that it will result in a much simpler and better system, which is in addition much more efficient. |
The goal of this internship is to study how to port a particular application of R to an equivalent one in Common Lisp. The first objective (which is certain) is to achieve a much higher level of performance than that of the original application. The long term goal is to consider a new implementation of R (or of a subset of R) over Common Lisp, with the intuition that it will result in a much simpler and better system, which is in addition much more efficient. |
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|Benefit for the candidate=Familiarization with a new dynamic programming language (Lisp), and with a language for statistics (R). Note: This internship will be in principle in partnership with a researcher at CNRS / University Paris V. |
|Benefit for the candidate=Familiarization with a new dynamic programming language (Lisp), and with a language for statistics (R). Note: This internship will be in principle in partnership with a researcher at CNRS / University Paris V. |
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|Contact=didier@lrde.epita.fr |
|Contact=didier@lrde.epita.fr |
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| ⚫ | |||
|Compensation=800 euros gross/month |
|Compensation=800 euros gross/month |
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| ⚫ | |||
|Type=Master Internship |
|Type=Master Internship |
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|Language=en |
|Language=en |
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Revision as of 11:42, 19 February 2014
| Lisp for statistics: an alternative to R. | |
|---|---|
| Reference id |
M2 DV 2014 lisp-statistiques |
| Dates |
5 - 6 months in 2014 |
| Research field |
Dynamic Languages |
| Related project | |
| Advisor | |
| General presentation of the field | |
| Prerequisites |
Having attended my lectures on functional programming. Prior knowledge of Lisp and/or R would help. |
| Objectives |
R is a programming language for statistics. Because of its historical development, it has many similarities with Scheme (a language from the Lisp family), but also many problems: in particular, it is a language which is not compiled. The biggest complaint of its users is therefore its lack of performance. For this (bad) reason a number of totally esoteric features have been added to it. The goal of this internship is to study how to port a particular application of R to an equivalent one in Common Lisp. The first objective (which is certain) is to achieve a much higher level of performance than that of the original application. The long term goal is to consider a new implementation of R (or of a subset of R) over Common Lisp, with the intuition that it will result in a much simpler and better system, which is in addition much more efficient. |
| Benefit for the candidate |
Familiarization with a new dynamic programming language (Lisp), and with a language for statistics (R). Note: This internship will be in principle in partnership with a researcher at CNRS / University Paris V. |
| References | |
| Place | LRDE: How to get to us |
| Compensation |
800 euros gross/month |
| Future work opportunities |
If the internship is satisfactory, we would like it to be followed by a PhD. |
| Contact |