memorysaver

Lecture 1: Introduction to Research — [📝Lecture Notebooks] [▶️Video]
Lecture 2: Introduction to Python — [📝Lecture Notebooks] [▶️Video]
Lecture 3: Introduction to NumPy — [📝Lecture Notebooks] [▶️Video]
Lecture 4: Introduction to pandas — [📝Lecture Notebooks] [▶️Video]
Lecture 5: Plotting Data — [📝Lecture Notebooks] [[▶️Vide

memorysaver

SPC s c remove highlight

**** Files manipulations key bindings
Files manipulation commands (start with ~f~):

| Key Binding | Description                                                    |
|-------------+----------------------------------------------------------------|
| ~SPC f c~   | copy current file to a different location                      |
| ~SPC f C d~ | convert file from unix to dos encoding                         |
| ~SPC f C u~ | convert file from dos to unix encoding                         |

memorysaver

import pandas as pd
import numpy as np
from bs4 import BeautifulSoup as soup
from urllib.request import Request, urlopen

pd.set_option('display.max_colwidth', 25)

# Input
symbol = input('Enter a ticker: ')
print ('Getting data for ' + symbol + '...\n')

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#----------------------------------------------------------------------------------------
# model.py
#----------------------------------------------------------------------------------------
from django.db import models
from numpy.random import random_sample

class CustomModel(models.Model):
    # Put your fields here

    def get_data(self):

memorysaver

Project Title

One Paragraph of project description goes here

Getting Started

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes. See deployment for notes on how to deploy the project on a live system.

Prerequisites

memorysaver

Synopsis

At the top of the file there should be a short introduction and/ or overview that explains what the project is. This description should match descriptions added for package managers (Gemspec, package.json, etc.)

Code Example

Show what the library does as concisely as possible, developers should be able to figure out how your project solves their problem by looking at the code example. Make sure the API you are showing off is obvious, and that your code is short and concise.

Motivation

memorysaver

Pyethapp example

Installation

Virtualenv: $ apt-get install virtualenv

Create an env and activate it:

$ virtualenv venv
$ source venv/bin/activate

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PSQL

Magic words:

psql -U postgres

Some interesting flags (to see all, use -h):

• -E: will describe the underlaying queries of the \ commands (cool for learning!)
• -l: psql will list all databases and then exit (useful if the user you connect with doesn't has a default database, like at AWS RDS)

memorysaver

from django import template
from django.contrib.staticfiles.finders import find as find_static_file
from django.conf import settings

register = template.Library()


@register.simple_tag
def encode_static(path, encoding='base64', file_type='image'):
    """

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// Simple function to send Weekly Status Sheets to contacts listed on the "Contacts" sheet in the MPD.

// Load a menu item called "Project Admin" with a submenu item called "Send Status"
// Running this, sends the currently open sheet, as a PDF attachment
function onOpen() {
  var submenu = [{name:"Send Status", functionName:"exportSomeSheets"}];
  SpreadsheetApp.getActiveSpreadsheet().addMenu('Project Admin', submenu);  
}

function exportSomeSheets() {