upload lec01

_modules/week-01.md

@@ -8,7 +8,7 @@ days:
         type: lecture
         title: Introduction, Data Science Lifecycle
         # blank: resources/lectures/lec01/lec01-live.html
-        # filled: resources/lectures/lec01/lec01.html
+        filled: resources/lectures/lec01/lec01.html
         reading: '[Ch. 1](https://learningds.org/ch/01/lifecycle_intro.html)'
       - name: LEC 2
         type: lecture

resources/lectures/lec01/data/baby.csv

@@ -0,0 +1 @@
+../../../../datasets/baby.csv

resources/lectures/lec01/dsc80_utils.py

@@ -0,0 +1,74 @@
+"""
+Imports and helpful functions that we use in DSC 80 lectures. Use `make
+setup-lec` to copy this (and custom-rise-styles.css) to the lecture folders.
+
+Usage:
+
+from dsc80_utils import *
+"""
+import pandas as pd
+import numpy as np
+import matplotlib.pyplot as plt
+import seaborn as sns
+from matplotlib_inline.backend_inline import set_matplotlib_formats
+from IPython.display import display, IFrame, HTML
+
+import plotly
+import plotly.figure_factory as ff
+import plotly.graph_objects as go
+import plotly.express as px
+from plotly.subplots import make_subplots
+import plotly.io as pio
+
+# DSC 80 preferred styles
+pio.templates["dsc80"] = go.layout.Template(
+    layout=dict(
+        margin=dict(l=30, r=30, t=30, b=30),
+        autosize=True,
+        width=600,
+        height=400,
+        xaxis=dict(showgrid=True),
+        yaxis=dict(showgrid=True),
+        title=dict(x=0.5, xanchor="center"),
+    )
+)
+pio.templates.default = "simple_white+dsc80"
+
+set_matplotlib_formats("svg")
+sns.set_context("poster")
+sns.set_style("whitegrid")
+plt.rcParams["figure.figsize"] = (10, 5)
+
+# display options for numpy and pandas
+np.set_printoptions(threshold=20, precision=2, suppress=True)
+pd.set_option("display.max_rows", 7)
+pd.set_option("display.max_columns", 8)
+pd.set_option("display.precision", 2)
+
+# Use plotly as default plotting engine
+pd.options.plotting.backend = "plotly"
+
+
+def display_df(
+    df, rows=pd.options.display.max_rows, cols=pd.options.display.max_columns
+):
+    """Displays n rows and cols from df"""
+    with pd.option_context(
+        "display.max_rows", rows, "display.max_columns", cols
+    ):
+        display(df)
+
+
+def dfs_side_by_side(*dfs):
+    """
+    Displays two or more dataframes side by side.
+    """
+    display(
+        HTML(
+            f"""
+        <div style="display: flex; gap: 1rem;">
+        {''.join(df.to_html() for df in dfs)}
+        </div>
+    """
+        )
+    )