csbailey5t

DATASET_PATH = 'https://gretel-public-website.s3.amazonaws.com/datasets/mitre-synthea-health.csv'

model = trainer.Trainer()
model.train(DATASET_PATH, seed_fields=["RACE", "ETHNICITY", "GENDER"])

seed_df = pd.DataFrame(data=[
    ["black", "african", "F"],
    ["black", "african", "F"],
    ["black", "african", "F"],
    ["black", "african", "F"],

csbailey5t

import pandas as pd

# Read in delimited file, setting delimiter, and keeping only single col of interest
df = pd.read_table("StanfordUniversity_TAX_201906_IL.txt", delimiter="|", usecols=["YEAR BUILT"])

# Check unique values
df["YEAR BUILT"].unique()

# Count the number of null/NaN values
df["YEAR BUILT"].isnull().sum()

csbailey5t

import glob
import docx

def get_text(fn):
    doc = docx.Document(fn)
    fulltext = []
    for para in doc.paragraphs:
        fulltext.append(para.text)
    return "\n".join(fulltext)
    

csbailey5t

# coding: utf-8

# In[ ]:


#following code here: https://www.pyimagesearch.com/2017/06/19/image-difference-with-opencv-and-python/


# In[1]:

csbailey5t

#List unique values in a DataFrame column
pd.unique(df.column_name.ravel())

#Convert Series datatype to numeric, getting rid of any non-numeric values
df['col'] = df['col'].astype(str).convert_objects(convert_numeric=True)

#Grab DataFrame rows where column has certain values
valuelist = ['value1', 'value2', 'value3']
df = df[df.column.isin(value_list)]

csbailey5t

mysqldump -h [host] -u [user] --password=[password] [database] | gzip -c | cat > ~/Desktop/`date +%Y-%m-%d-%T`.sql.gz
mysqldump -h [host] -u [user] --password=[password] [database] | gzip -c | cat > ./`date +%Y-%m-%d-%T`.sql.gz

csbailey5t

mysqldump courtesy of waynegraham

mysqldump -h [host] -u [user] --password=[password] [database] | gzip -c | cat > ~/Desktop/`date +%Y-%m-%d-%T`.sql.gz
mysqldump -h [host] -u [user] --password=[password] [database] | gzip -c | cat > ./`date +%Y-%m-%d-%T`.sql.gz

csbailey5t

for package in `ls node_modules/`; do npm uninstall $package; done;

csbailey5t

Keybase proof

I hereby claim:

• I am csbailey5t on github.
• I am csbailey5t (https://keybase.io/csbailey5t) on keybase.
• I have a public key whose fingerprint is BAE6 7D4F E7D9 E4E1 7993 A0AC BCDA 7043 DFE7 BDA5

To claim this, I am signing this object:

csbailey5t

UPDATE `omeka_users` SET `password`=sha1(concat(`salt`, 'NEW_PASSWORD')) WHERE `username`='USER';