# -*- coding: utf-8 -*-
"""
Defines a set of module for teaching purpose.
:githublink:`%|py|6`
"""
from ..installhelper.module_install import ModuleInstall
[docs]def teachings_set():
"""
modules implemented for my teachings, it requires the modules in set *ml*
:githublink:`%|py|12`
"""
mod = [
ModuleInstall(
"jyquickhelper", "pip", purpose="Helpers for Jupyter notebooks.", usage="TEACH"),
ModuleInstall(
"pyquickhelper", "pip", purpose="helpers to generation documentation", usage="TEACH"),
ModuleInstall(
"tkinterquickhelper", "pip", purpose="windows on the top of tkinter", usage="TEACH"),
ModuleInstall(
"pymyinstall", "pip", purpose="easy installation of modules including Windows", usage="TEACH"),
ModuleInstall("pymmails", "pip",
purpose="read/send emails", usage="TEACH"),
ModuleInstall(
"pyenbc", "pip", purpose="Helpers for remote work, clusters, hadoop", usage="TEACH"),
ModuleInstall(
"pyensae", "pip", purpose="helpers, Hadoop, SQL, financial times series, ...", usage="TEACH"),
ModuleInstall("pyrsslocal", "pip",
purpose="RSS readers", usage="TEACH"),
ModuleInstall(
"code_beatrix", "pip", purpose="teaching programming to kids, lesenfantscodaient.fr", usage="TEACH"),
ModuleInstall(
"actuariat_python", "pip", purpose="teachings, insurance examples", usage="TEACH"),
ModuleInstall("ensae_teaching_cs", "pip",
purpose="teachings, introduction to programming, machine learning, map/reduce", usage="TEACH"),
ModuleInstall("jupytalk", "pip",
purpose="materials for presentations", usage="TEACH"),
ModuleInstall("mlstatpy", "pip",
purpose="materials for machine learning", usage="TEACH"),
ModuleInstall("teachpyx", "pip",
purpose="materials for teachings", usage="TEACH"),
ModuleInstall("ensae_projects", "pip",
purpose="single use code", usage="TEACH"),
ModuleInstall("lightmlrestapi", "pip",
purpose="lightmlrestapi implements a light machine learning REST API based on falcon.", usage="TEACH"),
ModuleInstall("lightmlboard", "pip",
purpose="lightmlboard implements a light machine learning leaderboard based on tornado.", usage="TEACH"),
ModuleInstall("pandas_streaming", "pip",
purpose="pandas_streaming aims at processing big files with pandas, too big to hold in memory," +
"too small to be parallelized with a significant gain. The module replicates a subset of pandas " +
"API and implements other functionalities for machine learning.", usage="TEACH"),
ModuleInstall("manydataapi", "pip",
purpose="Helpers to access APIs", usage="TEACH"),
ModuleInstall("cpyquickhelper", "wheel",
purpose="Experiments with C++ and Python", usage="TEACH"),
ModuleInstall("mlinsights", "wheel",
purpose="mlinsights implements functions to get insights on machine learned models.", usage="TEACH"),
ModuleInstall("mlprodict", "wheel",
purpose="mlprodict implements a couple of ways to productionize machine learning predictions.", usage="TEACH"),
ModuleInstall("wrapclib", "wheel",
purpose="Wraps existing C libraries.", usage="TEACH"),
ModuleInstall("csharpy", "wheel",
purpose="Python + C# + C", usage="TEACH"),
]
#
return [_ for _ in mod if _ is not None]
