You'll find the talks here
Approaching frontend as a backend developer, Svelte feels surprisingly pythonic. Let's take a quick look at what's familiar, what's foreign, and how to explore the gap.
import plotly.graph_objects as go | |
import pandas as pd | |
def serp_heatmap(df, num_domains=10, select_domain=None): | |
df = df.rename(columns={'domain': 'displayLink', | |
'searchTerms': 'keyword'}) | |
top_domains = df['displayLink'].value_counts()[:num_domains].index.tolist() | |
top_domains = df['displayLink'].value_counts()[:num_domains].index.tolist() | |
top_df = df[df['displayLink'].isin(top_domains) & df['displayLink'].ne('')] |
You'll find the talks here
Approaching frontend as a backend developer, Svelte feels surprisingly pythonic. Let's take a quick look at what's familiar, what's foreign, and how to explore the gap.