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d3js: Create an HTML table using d3.js and JSON

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import streamlit as st
import pandas as pd

# Load some example data.
DATA_URL = \
    "http://s3-us-west-2.amazonaws.com/streamlit-demo-data/uber-raw-data-sep14.csv.gz"
data = st.cache(pd.read_csv)(DATA_URL, nrows=1000)

# Select some rows using st.multiselect. This will break down when you have >1000 rows.
st.write('### Full Dataset', data)

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Installing Postgres via Brew

Pre-Reqs

Brew Package Manager

In your command-line run the following commands:

1. brew doctor
2. brew update

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Installing Postgres via Brew

Pre-Reqs

Brew Package Manager

In your command-line run the following commands:

1. brew doctor
2. brew update

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Default

Powerlevel10k

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System Design Cheatsheet

Picking the right architecture = Picking the right battles + Managing trade-offs

Basic Steps

1. Clarify and agree on the scope of the system

• User cases (description of sequences of events that, taken together, lead to a system doing something useful)
  • Who is going to use it?
  • How are they going to use it?

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# Initialize git and git-annex
$ mkdir annex-gcs-test
$ cd annex-gcs-test/
$ git init
Initialized empty Git repository in /Users/jterrace/annex-gcs-test/.git/
$ git annex init "my machine"
init my machine ok
(Recording state in git...)

# Set up AWS credentials

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1. https://stackoverflow.com/questions/35919020/whats-the-difference-of-name-scope-and-a-variable-scope-in-tensorflow

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class ReportEvery(Callback):
    def __init__(self, report_every=10):
        super(Callback, self).__init__()
        self.report_every = report_every
        
    def on_epoch_end(self, epoch, logs={}):
        if (epoch % self.report_every == 0):
            loss = logs['loss']
            print(f'Epoch: {epoch} - loss {loss}')

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name = 'mymul'
g = tf.get_default_graph()
g.unique_name(name) # return 'mymul'

g.unique_name(name_ # return 'mymul_1'