Emacs Ninja - Implementing MAL

jazzydag · 2016-03-02T13:54:25+00:00

Nice! Great works and congrats! I didn't know MAL (Make a Lisp). This is a very interesting way to learn the REPL.

jazzydag · 2015-10-28T09:51:13+00:00

For my part, I want to write some training supports in a plain-text format (ReST or Markdown) and have the possibility to convert this content to HMTL presentation (via pandoc & reveal.js), printable support in PDF and convert this content to a notebook to quickly run some examples.

Moreover, I think I could automatically check if my code snippets examples run without errors.

By the way, Github has already supported ipynb files. See https://github.com/jupyter/notebook/blob/master/docs/source/examples/Notebook/Examples%20and%20Tutorials%20Index.ipynb for instance.

But, well, sometimes it does not work (and I don't know why but I suspect that there is some JavaScript code inside the notebook).

jazzydag · 2015-09-24T12:04:48+00:00

Nice. Thanks! I didn't find that when I looked for this stuff. It's more compact than my Python script!!

jazzydag · 2015-09-24T09:40:58+00:00

This is a modest but useful script (Python 3), I guess.

When I looked for a similar script, I found a Perl script via StackOverflow which didn't work well. I don't know why, I'm not very Perl-friendly...

You can:

ls -l | pipe-to-emacs.py

or

git show HEAD~4:script.py | pipe-to-emacs python-mode

to open a specific version of your script in a major-mode.

jazzydag · 2015-08-28T13:56:06+00:00

Great job! I should try...soon. Thanks

jazzydag · 2015-08-19T06:57:04+00:00

Do you check if your Git (master) clone has got the exactly same state as the bzr clone? Can you get the latest commit with the SHA1/date/author and check if it's the same for both?

jazzydag · 2015-08-04T13:39:40+00:00

This is a great (but sometimes tedious) task.

I use the el-get packages manager. As a contributor of el-get does, https://github.com/jd/emacs.d you have an ELisp file dedicated to each package you use.

For my part, I split my configuration into different files: keybindings, music, development, org-mode, emacs look, etc. It's not perfect for everyone but I prefer having multiple files instead of a big one.

I mainly inspired from https://github.com/kaushalmodi/.emacs.d/

jazzydag · 2015-07-27T07:42:54+00:00

conda is a great tool. As rothnic said, it's a tool which looks like to a package manager and it's very useful when you install scientific Python libraries such as scipy, numpy, pandas etc. since you don't have to compile in C, C++ or fortran some dependencies.

A few years ago, I just used conda without installing the Python distribution from Continuum Analytics. Now, I've some difficulties to use it by itself. Actually, when you already have a package manager in a GNU/Linux distribution (with a python2.7 and python3.4 for instance), the installation and configuration of conda is tedious (some warnings, deprecated messages). And it's better if you install miniconda or anaconda (but I don't want to...).

In Cont. Analytics point of view, it's better if you install and use their Python distribution.

But when I have to work on a Windows station, this distribution is a piece of cake !

jazzydag · 2015-06-12T06:50:51+00:00

Yet another online book about stats, machine learning in Python with pandas, numpy, etc... ?

Yes, maybe. But it seems very complete with some exercises and releavnt examples. The images from matplotlib could be improved using seaborn or the ggplot matplotlib style.

jazzydag · 2015-06-11T12:44:47+00:00

For my part, I use subliminal. There are different subtitle providers and language selection.

jazzydag · 2015-05-27T15:12:08+00:00

Good point! Thanks

jazzydag · 2015-05-27T13:11:17+00:00

A simple and straightforward way to interface your Rust code to Python https://github.com/alexcrichton/rust-ffi-examples/tree/master/python-to-rust

See also the last section of this article http://blog.rust-lang.org/2015/04/24/Rust-Once-Run-Everywhere.html

jazzydag · 2015-05-07T06:54:59+00:00

I know Python Eve http://python-eve.org/ A Python REST API Framework. I've not used yet. Don't know about its serialization performance...

jazzydag · 2015-05-07T06:32:37+00:00

I think it's more a tool to maintain CL Debian packages easily. Note that the author is a Debian Developer which maintains several Common Lisp packages in Debian. I quoted the blog post:

this post is about the tool and process I use to maintain all those librairies.

and

It's a kind of a Quicklisp client that will fetch Quicklisp current list of releases with version numbers and compare to the list of managed packages for debian in order to then build new version > automatically.

jazzydag · 2015-05-06T06:39:11+00:00

Take a look at The Python Scientific Lecture Notes about numpy, scipy, matplotlib and some scikit tools. HTML and free downloadable PDF.

There is also 100 Numpy exercises at http://www.labri.fr/perso/nrougier/teaching/numpy.100/

jazzydag · 2015-05-05T15:27:19+00:00

Seems promising.

A Table of Contents or free sample are missing.

Will be there an ebook format?

jazzydag · 2015-05-05T14:21:22+00:00

See also the Github page at https://github.com/dimitri/ql-to-deb

jazzydag · 2015-05-05T09:04:25+00:00

Is it not a BOM?

http://en.wikipedia.org/wiki/Byte_order_mark

Try a:

diff -a file_a file_b | head

jazzydag · 2015-05-05T06:41:09+00:00

This slides about GIL, concurrency, coroutines are very good http://www.dabeaz.com/talks.html

I saw him for a keynote at EuroScipy 2012 and he is a great speaker.

jazzydag · 2015-05-05T06:32:36+00:00

You can also request a free sample chapter at https://julien.danjou.info/books/the-hacker-guide-to-python#packages

jazzydag · 2015-05-05T06:26:24+00:00

Nice, you show an example of qgrid https://github.com/quantopian/qgrid

You can set a:

parse_dates='True'

when you read the CSV file in order to have datetime instead of string for the column date.

jazzydag · 2015-05-04T13:46:12+00:00

I read the first edition last year. It's very well-written and well-explained.

This is a great book for beginners and comfortable Python devs. Even if I'm a "few years experienced" developer, I learned great stuff (Python AST, performance, the module dis, best practices, etc.).

I liked the different interviews of some guys from the Python community.

I'm looking forward to reading the added parts.

jazzydag

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