The *.txt files here hold user and database parameters. Specifically, replication.txt contains the user/role and password to use for replication. Whereas database.txt contains an initial database, user/role and password to create on the master.
Run the master:
$ fig run -d master
Wait for it to start up completely. Start the slave:
| """ | |
| formula.py - propositional formulas for Python | |
| by Robin Wellner | |
| Hereby, I waive all rights to this library, as described at <http://creativecommons.org/publicdomain/zero/1.0/> | |
| Examples: | |
| foo = Atom('foo') | |
| bar = Atom('bar') |
| import argparse | |
| import pandas as pd | |
| def gas_prices(input, filetype="csv"): | |
| """Getting gas prices by day and month | |
| 1. Read csv or excel (assuming extension csv is a true csv file format, it might be another validations in real scenario) | |
| 1.1 Datetime Index is for month | |
| 2. Write to csv |
| # 1. Main data wanted is daily prices. (I downloaded the Henry_Hub_Natural_Gas_Spot_Price.csv with view history as daily) | |
| import pandas as pd | |
| dfg = pd.read_csv('Henry_Hub_Natural_Gas_Spot_Price.csv', skiprows=4) | |
| dfg.index = pd.to_datetime(dfg["Day"],format='%m/%d/%Y') | |
| dfg.to_csv('gas_byday.csv', index=False) # => first output gas_byday.csv file | |
| # 1.1 Bonus points for doing other granularities (e.g. month) - do them in separate CSV files with sensible naming Resulting CSV should have two columns: Date and Price. You may need to normalize the data to get this and/or work out dates. For months the Date should be the first date of the month. |
| #!/bin/bash | |
| # | |
| ## | |
| ## Vendor: Zentek ST | |
| ## | |
| DIRNAME=$(dirname $0) | |
| APPMAIL="soporte@zentek.com.mx" | |
| APPVERSION="2.0" |