NicoleJaneway

• May '23
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• Jan '23
• Dec '22
• Nov '22

NicoleJaneway

Here's some advice from Zac Hatfield-Dodds, Python maintainer extraordinaire, about getting started with open source:

I don't think I can offer advice for applying to [a specific job], but general principles for developing software engineering skills via OSS contributions I can do!

• Think of "efforts to help the alignment ecosystem" as a separate goal that should be pursued through separate activities (carry a knife and a hammer, not a knife/hammer multitool).
• There's going to be a lot of "just execute on the obvious thing for impact" where it's neglected. It's not all going to be interesting or educational.
• The open secret to success is consistent persistence. If you work on meaningful projects for a few hours every week for three years, you'll almost certainly come out the other side with lots of valuable skills and experience!
• You will at times take on overly ambitious projects and get stuck: recognize this, back off, write up your notes for the next person, and then g

NicoleJaneway

plt.figure(figsize=(16, 6))
ax = sns.countplot(x='plant', hue=TARGET, 
                   data=data[(data[TARGET] == 1) | (data[TARGET] == 5)])
ax.set_xticklabels(ax.get_xticklabels(), rotation=90);

NicoleJaneway

import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns

%matplotlib inline

data = pd.read_csv('greenhouse.csv')

TARGET = 'prize_worthiness'

NicoleJaneway

data['orchid'] = data['plant'].apply(lambda x: 1 if 'orchid' in x else 0)

piv = pd.pivot_table(data2, index=['orchid', 'plant'], values='price', aggfunc=np.sum)
piv0 = data[['orchid','plant','price']].groupby(by=['orchid','plant']).sum()

NicoleJaneway

import numpy as np

data['new_shelf'] = np.where(  (data['condition'] == 'full sun') 
                             & (data['music'] == 'bach'), 1, 0)

NicoleJaneway

def sunny_shelf(col1, col2):
        return  (1 if ((col1 == 'full sun') & (col2 == 'bach')) else 0)
        
data['new_shelf'] = data.apply(lambda x: sunny_shelf(x.condition, x.music), axis=1)

NicoleJaneway

import pandas as pd

data = pd.DataFrame({'plant': greenhouse,
                  'height_(cm)': [50, 20, 15, 40, 50, 
                                   60, 45, 50, 50, 20, 20],
                  'condition': ['full sun', 'shade', 'partial sun', 'partial sun', 'partial sun', 
                                'full sun', 'shade', 'partial sun', 'full sun', 'partial sun', 'full sun'],
                  'water_(cm/week)': [2.5, 4, 2.5, 2.5, 3, 
                                  0.5, 4.5, 2.5, 2, 2.5, 2.5],
                  'music': ['bach', 'bach', 'beyonce', 'bach', 'cardi b', 

NicoleJaneway

greenhouse = ['boat orchid', 'bird\'s nest fern', 'dancing-lady orchid',
              'nun\'s hood orchid', 'pennywort', 'snake plant', 
              'maidenhair fern', 'chinese ground orchid', 
              'vanilla orchid', 'tiger orchid', 'pothos']
              
[print(plant) for plant in greenhouse if 'orchid' in plant];

NicoleJaneway

def read_excel_sheets(xls_path):
    """Read all sheets of an Excel workbook and return a single DataFrame"""
    print(f'Loading {xls_path} into pandas')
    xl = pd.ExcelFile(xls_path)
    df = pd.DataFrame()
    columns = None
    for idx, name in enumerate(xl.sheet_names):
        print(f'Reading sheet #{idx}: {name}')
        sheet = xl.parse(name)
        if idx == 0: