How to use Pelican on GitHub Pages
Author: Josef Jezek
sudo apt-get install python-setuptools
Author: Josef Jezek
sudo apt-get install python-setuptools
This is an incomplete, ever-changing curated list of content to assist people into the worlds of Data Science and Machine Learning. If you have a recommendation for something to add, please let me know. If something isn't here, it doesn't mean I don't recommend it, I just may not have had a chance to review it yet or not.
I will generally list things in order of easier to more formal/challenging content.
It may feel like there is an overwhelming amount of stuff for you to learn (because there is). But, there is a guided path that will get you there in time. You need to focus on Linear Algebra, Calculus, Statistics and probably Python (or R). Your best bet is to get a Safari Books Online account (https://www.safaribooksonline.com) which you may already have access to through school or work. If not, it is a reasonable way to get access to a tremendous number of books and videos.
I'm not saying you will get what you need out of everything here, but I have read/watched at least some of all of the following an
from flask import Flask, render_template_string, request | |
class CustomFlask(Flask): | |
jinja_options = Flask.jinja_options.copy() | |
jinja_options.update(dict( | |
block_start_string='<%', | |
block_end_string='%>', | |
variable_start_string='%%', | |
variable_end_string='%%', | |
comment_start_string='<#', |
''' | |
author: | |
@tangjeff0 | |
https://www.notion.so/tangjeff0/Public-Home-0e2636bd409b454ea64079ad8213491f | |
inspired by: https://praxis.fortelabs.co/p-a-r-a-iii-building-an-idea-generator-400347ef3bb6/ | |
with help from: https://medium.com/@jamiealexandre/introducing-notion-py-an-unofficial-python-api-wrapper-for-notion-so-603700f92369 | |
credits: | |
@jamiealexandre |
#Non-mathematical Introductions
#Videos
$ sudo apt-get install -y gcc-multilib g++-multilib libffi-dev libffi6 libffi6-dbg python-crypto python-mox3 python-pil python-ply libssl-dev zlib1g-dev libbz2-dev libexpat1-dev libbluetooth-dev libgdbm-dev dpkg-dev quilt autotools-dev libreadline-dev libtinfo-dev libncursesw5-dev tk-dev blt-dev libssl-dev zlib1g-dev libbz2-dev libexpat1-dev libbluetooth-dev libsqlite3-dev libgpm2 mime-support netbase net-tools bzip2 | |
$ wget https://www.python.org/ftp/python/2.7.10/Python-2.7.10.tgz | |
$ tar xvf Python-2.7.10.tgz | |
$ cd Python-2.7.10/ | |
$ ./configure --prefix /usr/local/lib/python2.7.10 --enable-ipv6 | |
$ make | |
$ sudo make install |
<?xml version="1.0" encoding="UTF-8"?> | |
<zabbix_export> | |
<version>2.0</version> | |
<date>2012-05-14T12:36:06Z</date> | |
<groups> | |
<group> | |
<name>Templates</name> | |
</group> | |
</groups> | |
<templates> |
#!/bin/sh | |
# Create consul container | |
export AWS_ACCESS_KEY_ID | |
export AWS_SECRET_ACCESS_KEY | |
export AWS_DEFAULT_REGION=ap-northeast-1 | |
export AWS_ZONE=a | |
export AWS_SUBNET_ID | |
export AWS_INSTANCE_TYPE=c4.large |
#!/usr/bin/env python | |
"""Basic Python Cheat Sheet by Filip Kral on 2015/02/16""" | |
""" Updated by James Quacinella for MIMS:5001 """ | |
""" | |
Python is a cross-platform, interpreted, object-oriented programming language. | |
That means you can run it on Linux, Windows, Mac, and other platforms, | |
you don't need to compile your code to execute it because it is compiled on | |
the fly, and you can use classes and objects. |