Printed copies of Elements of Data Science are available now, with a full color interior.
-From July 17 to July 31, get 20% off at Lulu.com.
+Printed copies of Elements of Data Science are available now, with a full color interior, from Lulu.com.
Variables and Values#
The topics in this chapter are:
diff --git a/02_times.html b/02_times.html index c08f8cf..fde4497 100644 --- a/02_times.html +++ b/02_times.html @@ -379,8 +379,7 @@Contents
Printed copies of Elements of Data Science are available now, with a full color interior.
-From July 17 to July 31, get 20% off at Lulu.com.
+Printed copies of Elements of Data Science are available now, with a full color interior, from Lulu.com.
Times and Places#
Click here to run this notebook on Colab.
diff --git a/03_arrays.html b/03_arrays.html index e746d54..9e97de9 100644 --- a/03_arrays.html +++ b/03_arrays.html @@ -377,8 +377,7 @@Contents
Printed copies of Elements of Data Science are available now, with a full color interior.
-From July 17 to July 31, get 20% off at Lulu.com.
+Printed copies of Elements of Data Science are available now, with a full color interior, from Lulu.com.
Lists and Arrays#
Click here to run this notebook on Colab.
diff --git a/04_loops.html b/04_loops.html index 39f409b..6253946 100644 --- a/04_loops.html +++ b/04_loops.html @@ -376,8 +376,7 @@Contents
Printed copies of Elements of Data Science are available now, with a full color interior.
-From July 17 to July 31, get 20% off at Lulu.com.
+Printed copies of Elements of Data Science are available now, with a full color interior, from Lulu.com.
Loops and Files#
Click here to run this notebook on Colab.
diff --git a/05_dictionaries.html b/05_dictionaries.html index a8e0499..9503077 100644 --- a/05_dictionaries.html +++ b/05_dictionaries.html @@ -375,8 +375,7 @@Contents
Printed copies of Elements of Data Science are available now, with a full color interior.
-From July 17 to July 31, get 20% off at Lulu.com.
+Printed copies of Elements of Data Science are available now, with a full color interior, from Lulu.com.
Dictionaries#
Click here to run this notebook on Colab or diff --git a/06_plotting.html b/06_plotting.html index f55fc88..b9903dc 100644 --- a/06_plotting.html +++ b/06_plotting.html @@ -377,8 +377,7 @@
Contents
Printed copies of Elements of Data Science are available now, with a full color interior.
-From July 17 to July 31, get 20% off at Lulu.com.
+Printed copies of Elements of Data Science are available now, with a full color interior, from Lulu.com.
Plotting#
Click here to run this notebook on Colab.
diff --git a/07_dataframes.html b/07_dataframes.html index 785b965..3664356 100644 --- a/07_dataframes.html +++ b/07_dataframes.html @@ -379,8 +379,7 @@Contents
Printed copies of Elements of Data Science are available now, with a full color interior.
-From July 17 to July 31, get 20% off at Lulu.com.
+Printed copies of Elements of Data Science are available now, with a full color interior, from Lulu.com.
DataFrames and Series#
Click here to run this notebook on Colab.
diff --git a/08_distributions.html b/08_distributions.html index 6fdf963..d23ef93 100644 --- a/08_distributions.html +++ b/08_distributions.html @@ -380,8 +380,7 @@Contents
Printed copies of Elements of Data Science are available now, with a full color interior.
-From July 17 to July 31, get 20% off at Lulu.com.
+Printed copies of Elements of Data Science are available now, with a full color interior, from Lulu.com.
Distributions#
Click here to run this notebook on Colab.
diff --git a/09_relationships.html b/09_relationships.html index 407949f..c8786f8 100644 --- a/09_relationships.html +++ b/09_relationships.html @@ -374,8 +374,7 @@Contents
Printed copies of Elements of Data Science are available now, with a full color interior.
-From July 17 to July 31, get 20% off at Lulu.com.
+Printed copies of Elements of Data Science are available now, with a full color interior, from Lulu.com.
Relationships#
Click here to run this notebook on Colab.
diff --git a/10_regression.html b/10_regression.html index 23c1784..27abf83 100644 --- a/10_regression.html +++ b/10_regression.html @@ -375,8 +375,7 @@Contents
Printed copies of Elements of Data Science are available now, with a full color interior.
-From July 17 to July 31, get 20% off at Lulu.com.
+Printed copies of Elements of Data Science are available now, with a full color interior, from Lulu.com.
Regression#
Contents
Printed copies of Elements of Data Science are available now, with a full color interior.
-From July 17 to July 31, get 20% off at Lulu.com.
+Printed copies of Elements of Data Science are available now, with a full color interior, from Lulu.com.
Resampling#
array([1, 0, 0, 0, 0, 1, 1, 1, 1, 1])
+array([1, 0, 1, 1, 1, 1, 1, 1, 1, 0])
Simulating One Group
The mean of this distribution is about 5.3, which is close to the observed risk, as we should expect.
@@ -718,7 +717,7 @@Simulating the Trial
The mean of this distribution is close to the efficacy we computed with the results of the actual trial.
@@ -833,7 +832,7 @@Estimating Means
-
+
This result is called a sampling distribution because it represents the variation in the results due to the random sampling process.
diff --git a/12_bootstrap.html b/12_bootstrap.html
index 7888631..677e34f 100644
--- a/12_bootstrap.html
+++ b/12_bootstrap.html
@@ -377,8 +377,7 @@
Contents
- Printed copies of Elements of Data Science are available now, with a full color interior.
-From July 17 to July 31, get 20% off at Lulu.com.
+ Printed copies of Elements of Data Science are available now, with a full color interior, from Lulu.com.
Bootstrap Sampling#
Click here to run this notebook on Colab.
diff --git a/13_hypothesis.html b/13_hypothesis.html
index 0c05852..1a6c0c0 100644
--- a/13_hypothesis.html
+++ b/13_hypothesis.html
@@ -378,8 +378,7 @@ Contents
- Printed copies of Elements of Data Science are available now, with a full color interior.
-From July 17 to July 31, get 20% off at Lulu.com.
+ Printed copies of Elements of Data Science are available now, with a full color interior, from Lulu.com.
Hypothesis Testing#
Click here to run this notebook on Colab.
diff --git a/14_outro.html b/14_outro.html
index 77798de..6674f81 100644
--- a/14_outro.html
+++ b/14_outro.html
@@ -359,8 +359,7 @@ Further Reading
- Printed copies of Elements of Data Science are available now, with a full color interior.
-From July 17 to July 31, get 20% off at Lulu.com.
+ Printed copies of Elements of Data Science are available now, with a full color interior, from Lulu.com.
Further Reading#
The first part of this book is an accelerated introduction to Python with emphasis on tools for working with data.
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new file mode 100644
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diff --git a/_images/c8d1a98d424f44f32d59fb95e54085ba97fbdb9cbc359388af64cac8a4379784.png b/_images/c8d1a98d424f44f32d59fb95e54085ba97fbdb9cbc359388af64cac8a4379784.png
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diff --git a/_images/ec2770347978626d9a5fcaf8b1fcf276c505818353e0743267492d58195371b4.png b/_images/ec2770347978626d9a5fcaf8b1fcf276c505818353e0743267492d58195371b4.png
new file mode 100644
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diff --git a/_sources/01_variables.ipynb b/_sources/01_variables.ipynb
index 3c90187..8b6fa89 100644
--- a/_sources/01_variables.ipynb
+++ b/_sources/01_variables.ipynb
@@ -4,9 +4,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "Printed copies of *Elements of Data Science* are available now, with a **full color interior**.\n",
- "\n",
- "From July 17 to July 31, [get 20% off at Lulu.com](https://www.lulu.com/shop/allen-downey/elements-of-data-science/paperback/product-9dyrwn.html)."
+ "Printed copies of *Elements of Data Science* are available now, with a **full color interior**, from [Lulu.com](https://www.lulu.com/shop/allen-downey/elements-of-data-science/paperback/product-9dyrwn.html)."
]
},
{
diff --git a/_sources/02_times.ipynb b/_sources/02_times.ipynb
index fa0c3e0..03f684e 100644
--- a/_sources/02_times.ipynb
+++ b/_sources/02_times.ipynb
@@ -4,9 +4,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "Printed copies of *Elements of Data Science* are available now, with a **full color interior**.\n",
- "\n",
- "From July 17 to July 31, [get 20% off at Lulu.com](https://www.lulu.com/shop/allen-downey/elements-of-data-science/paperback/product-9dyrwn.html)."
+ "Printed copies of *Elements of Data Science* are available now, with a **full color interior**, from [Lulu.com](https://www.lulu.com/shop/allen-downey/elements-of-data-science/paperback/product-9dyrwn.html)."
]
},
{
diff --git a/_sources/03_arrays.ipynb b/_sources/03_arrays.ipynb
index d0cf306..c459c8d 100644
--- a/_sources/03_arrays.ipynb
+++ b/_sources/03_arrays.ipynb
@@ -4,9 +4,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "Printed copies of *Elements of Data Science* are available now, with a **full color interior**.\n",
- "\n",
- "From July 17 to July 31, [get 20% off at Lulu.com](https://www.lulu.com/shop/allen-downey/elements-of-data-science/paperback/product-9dyrwn.html)."
+ "Printed copies of *Elements of Data Science* are available now, with a **full color interior**, from [Lulu.com](https://www.lulu.com/shop/allen-downey/elements-of-data-science/paperback/product-9dyrwn.html)."
]
},
{
diff --git a/_sources/04_loops.ipynb b/_sources/04_loops.ipynb
index ee27977..7fe3644 100644
--- a/_sources/04_loops.ipynb
+++ b/_sources/04_loops.ipynb
@@ -4,9 +4,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "Printed copies of *Elements of Data Science* are available now, with a **full color interior**.\n",
- "\n",
- "From July 17 to July 31, [get 20% off at Lulu.com](https://www.lulu.com/shop/allen-downey/elements-of-data-science/paperback/product-9dyrwn.html)."
+ "Printed copies of *Elements of Data Science* are available now, with a **full color interior**, from [Lulu.com](https://www.lulu.com/shop/allen-downey/elements-of-data-science/paperback/product-9dyrwn.html)."
]
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{
diff --git a/_sources/05_dictionaries.ipynb b/_sources/05_dictionaries.ipynb
index f02c1f9..acf05c9 100644
--- a/_sources/05_dictionaries.ipynb
+++ b/_sources/05_dictionaries.ipynb
@@ -4,9 +4,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "Printed copies of *Elements of Data Science* are available now, with a **full color interior**.\n",
- "\n",
- "From July 17 to July 31, [get 20% off at Lulu.com](https://www.lulu.com/shop/allen-downey/elements-of-data-science/paperback/product-9dyrwn.html)."
+ "Printed copies of *Elements of Data Science* are available now, with a **full color interior**, from [Lulu.com](https://www.lulu.com/shop/allen-downey/elements-of-data-science/paperback/product-9dyrwn.html)."
]
},
{
diff --git a/_sources/06_plotting.ipynb b/_sources/06_plotting.ipynb
index 7c81d92..947f226 100644
--- a/_sources/06_plotting.ipynb
+++ b/_sources/06_plotting.ipynb
@@ -4,9 +4,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "Printed copies of *Elements of Data Science* are available now, with a **full color interior**.\n",
- "\n",
- "From July 17 to July 31, [get 20% off at Lulu.com](https://www.lulu.com/shop/allen-downey/elements-of-data-science/paperback/product-9dyrwn.html)."
+ "Printed copies of *Elements of Data Science* are available now, with a **full color interior**, from [Lulu.com](https://www.lulu.com/shop/allen-downey/elements-of-data-science/paperback/product-9dyrwn.html)."
]
},
{
diff --git a/_sources/07_dataframes.ipynb b/_sources/07_dataframes.ipynb
index 09851b9..878109e 100644
--- a/_sources/07_dataframes.ipynb
+++ b/_sources/07_dataframes.ipynb
@@ -4,9 +4,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "Printed copies of *Elements of Data Science* are available now, with a **full color interior**.\n",
- "\n",
- "From July 17 to July 31, [get 20% off at Lulu.com](https://www.lulu.com/shop/allen-downey/elements-of-data-science/paperback/product-9dyrwn.html)."
+ "Printed copies of *Elements of Data Science* are available now, with a **full color interior**, from [Lulu.com](https://www.lulu.com/shop/allen-downey/elements-of-data-science/paperback/product-9dyrwn.html)."
]
},
{
diff --git a/_sources/08_distributions.ipynb b/_sources/08_distributions.ipynb
index 7beca5b..33f68d3 100644
--- a/_sources/08_distributions.ipynb
+++ b/_sources/08_distributions.ipynb
@@ -4,9 +4,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "Printed copies of *Elements of Data Science* are available now, with a **full color interior**.\n",
- "\n",
- "From July 17 to July 31, [get 20% off at Lulu.com](https://www.lulu.com/shop/allen-downey/elements-of-data-science/paperback/product-9dyrwn.html)."
+ "Printed copies of *Elements of Data Science* are available now, with a **full color interior**, from [Lulu.com](https://www.lulu.com/shop/allen-downey/elements-of-data-science/paperback/product-9dyrwn.html)."
]
},
{
diff --git a/_sources/09_relationships.ipynb b/_sources/09_relationships.ipynb
index b2f6382..7f7c8e0 100644
--- a/_sources/09_relationships.ipynb
+++ b/_sources/09_relationships.ipynb
@@ -4,9 +4,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "Printed copies of *Elements of Data Science* are available now, with a **full color interior**.\n",
- "\n",
- "From July 17 to July 31, [get 20% off at Lulu.com](https://www.lulu.com/shop/allen-downey/elements-of-data-science/paperback/product-9dyrwn.html)."
+ "Printed copies of *Elements of Data Science* are available now, with a **full color interior**, from [Lulu.com](https://www.lulu.com/shop/allen-downey/elements-of-data-science/paperback/product-9dyrwn.html)."
]
},
{
diff --git a/_sources/10_regression.ipynb b/_sources/10_regression.ipynb
index da0a4de..21d920e 100644
--- a/_sources/10_regression.ipynb
+++ b/_sources/10_regression.ipynb
@@ -4,9 +4,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "Printed copies of *Elements of Data Science* are available now, with a **full color interior**.\n",
- "\n",
- "From July 17 to July 31, [get 20% off at Lulu.com](https://www.lulu.com/shop/allen-downey/elements-of-data-science/paperback/product-9dyrwn.html)."
+ "Printed copies of *Elements of Data Science* are available now, with a **full color interior**, from [Lulu.com](https://www.lulu.com/shop/allen-downey/elements-of-data-science/paperback/product-9dyrwn.html)."
]
},
{
diff --git a/_sources/11_resampling.ipynb b/_sources/11_resampling.ipynb
index db77de2..192386d 100644
--- a/_sources/11_resampling.ipynb
+++ b/_sources/11_resampling.ipynb
@@ -4,9 +4,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "Printed copies of *Elements of Data Science* are available now, with a **full color interior**.\n",
- "\n",
- "From July 17 to July 31, [get 20% off at Lulu.com](https://www.lulu.com/shop/allen-downey/elements-of-data-science/paperback/product-9dyrwn.html)."
+ "Printed copies of *Elements of Data Science* are available now, with a **full color interior**, from [Lulu.com](https://www.lulu.com/shop/allen-downey/elements-of-data-science/paperback/product-9dyrwn.html)."
]
},
{
@@ -340,7 +338,7 @@
{
"data": {
"text/plain": [
- "array([1, 0, 0, 0, 0, 1, 1, 1, 1, 1])"
+ "array([1, 0, 1, 1, 1, 1, 1, 1, 1, 0])"
]
},
"execution_count": 11,
@@ -391,7 +389,7 @@
{
"data": {
"text/plain": [
- "4.883391903610059"
+ "5.294144493633334"
]
},
"execution_count": 13,
@@ -452,7 +450,7 @@
"outputs": [
{
"data": {
- "image/png": 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",
+ "image/png": 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",
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Printed copies of Elements of Data Science are available now, with a full color interior.
-From July 17 to July 31, get 20% off at Lulu.com.
+Printed copies of Elements of Data Science are available now, with a full color interior, from Lulu.com.
Bootstrap Sampling#
Click here to run this notebook on Colab.
diff --git a/13_hypothesis.html b/13_hypothesis.html index 0c05852..1a6c0c0 100644 --- a/13_hypothesis.html +++ b/13_hypothesis.html @@ -378,8 +378,7 @@Contents
Printed copies of Elements of Data Science are available now, with a full color interior.
-From July 17 to July 31, get 20% off at Lulu.com.
+Printed copies of Elements of Data Science are available now, with a full color interior, from Lulu.com.
Hypothesis Testing#
Click here to run this notebook on Colab.
diff --git a/14_outro.html b/14_outro.html index 77798de..6674f81 100644 --- a/14_outro.html +++ b/14_outro.html @@ -359,8 +359,7 @@Further Reading
Printed copies of Elements of Data Science are available now, with a full color interior.
-From July 17 to July 31, get 20% off at Lulu.com.
+Printed copies of Elements of Data Science are available now, with a full color interior, from Lulu.com.
Further Reading#
The first part of this book is an accelerated introduction to Python with emphasis on tools for working with data. diff --git a/_images/9403253e7d1c710973e48f11c2f481541c98749a35e9fed906f90c52d10909e5.png b/_images/9403253e7d1c710973e48f11c2f481541c98749a35e9fed906f90c52d10909e5.png new file mode 100644 index 0000000..87a140c Binary files /dev/null and b/_images/9403253e7d1c710973e48f11c2f481541c98749a35e9fed906f90c52d10909e5.png differ diff --git a/_images/c8d1a98d424f44f32d59fb95e54085ba97fbdb9cbc359388af64cac8a4379784.png b/_images/c8d1a98d424f44f32d59fb95e54085ba97fbdb9cbc359388af64cac8a4379784.png new file mode 100644 index 0000000..b2b466a Binary files /dev/null and b/_images/c8d1a98d424f44f32d59fb95e54085ba97fbdb9cbc359388af64cac8a4379784.png differ diff --git a/_images/ec2770347978626d9a5fcaf8b1fcf276c505818353e0743267492d58195371b4.png b/_images/ec2770347978626d9a5fcaf8b1fcf276c505818353e0743267492d58195371b4.png new file mode 100644 index 0000000..66c7fc4 Binary files /dev/null and b/_images/ec2770347978626d9a5fcaf8b1fcf276c505818353e0743267492d58195371b4.png differ diff --git a/_sources/01_variables.ipynb b/_sources/01_variables.ipynb index 3c90187..8b6fa89 100644 --- a/_sources/01_variables.ipynb +++ b/_sources/01_variables.ipynb @@ -4,9 +4,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Printed copies of *Elements of Data Science* are available now, with a **full color interior**.\n", - "\n", - "From July 17 to July 31, [get 20% off at Lulu.com](https://www.lulu.com/shop/allen-downey/elements-of-data-science/paperback/product-9dyrwn.html)." + "Printed copies of *Elements of Data Science* are available now, with a **full color interior**, from [Lulu.com](https://www.lulu.com/shop/allen-downey/elements-of-data-science/paperback/product-9dyrwn.html)." ] }, { diff --git a/_sources/02_times.ipynb b/_sources/02_times.ipynb index fa0c3e0..03f684e 100644 --- a/_sources/02_times.ipynb +++ b/_sources/02_times.ipynb @@ -4,9 +4,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Printed copies of *Elements of Data Science* are available now, with a **full color interior**.\n", - "\n", - "From July 17 to July 31, [get 20% off at Lulu.com](https://www.lulu.com/shop/allen-downey/elements-of-data-science/paperback/product-9dyrwn.html)." + "Printed copies of *Elements of Data Science* are available now, with a **full color interior**, from [Lulu.com](https://www.lulu.com/shop/allen-downey/elements-of-data-science/paperback/product-9dyrwn.html)." ] }, { diff --git a/_sources/03_arrays.ipynb b/_sources/03_arrays.ipynb index d0cf306..c459c8d 100644 --- a/_sources/03_arrays.ipynb +++ b/_sources/03_arrays.ipynb @@ -4,9 +4,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Printed copies of *Elements of Data Science* are available now, with a **full color interior**.\n", - "\n", - "From July 17 to July 31, [get 20% off at Lulu.com](https://www.lulu.com/shop/allen-downey/elements-of-data-science/paperback/product-9dyrwn.html)." + "Printed copies of *Elements of Data Science* are available now, with a **full color interior**, from [Lulu.com](https://www.lulu.com/shop/allen-downey/elements-of-data-science/paperback/product-9dyrwn.html)." ] }, { diff --git a/_sources/04_loops.ipynb b/_sources/04_loops.ipynb index ee27977..7fe3644 100644 --- a/_sources/04_loops.ipynb +++ b/_sources/04_loops.ipynb @@ -4,9 +4,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Printed copies of *Elements of Data Science* are available now, with a **full color interior**.\n", - "\n", - "From July 17 to July 31, [get 20% off at Lulu.com](https://www.lulu.com/shop/allen-downey/elements-of-data-science/paperback/product-9dyrwn.html)." + "Printed copies of *Elements of Data Science* are available now, with a **full color interior**, from [Lulu.com](https://www.lulu.com/shop/allen-downey/elements-of-data-science/paperback/product-9dyrwn.html)." ] }, { diff --git a/_sources/05_dictionaries.ipynb b/_sources/05_dictionaries.ipynb index f02c1f9..acf05c9 100644 --- a/_sources/05_dictionaries.ipynb +++ b/_sources/05_dictionaries.ipynb @@ -4,9 +4,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Printed copies of *Elements of Data Science* are available now, with a **full color interior**.\n", - "\n", - "From July 17 to July 31, [get 20% off at Lulu.com](https://www.lulu.com/shop/allen-downey/elements-of-data-science/paperback/product-9dyrwn.html)." + "Printed copies of *Elements of Data Science* are available now, with a **full color interior**, from [Lulu.com](https://www.lulu.com/shop/allen-downey/elements-of-data-science/paperback/product-9dyrwn.html)." ] }, { diff --git a/_sources/06_plotting.ipynb b/_sources/06_plotting.ipynb index 7c81d92..947f226 100644 --- a/_sources/06_plotting.ipynb +++ b/_sources/06_plotting.ipynb @@ -4,9 +4,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Printed copies of *Elements of Data Science* are available now, with a **full color interior**.\n", - "\n", - "From July 17 to July 31, [get 20% off at Lulu.com](https://www.lulu.com/shop/allen-downey/elements-of-data-science/paperback/product-9dyrwn.html)." + "Printed copies of *Elements of Data Science* are available now, with a **full color interior**, from [Lulu.com](https://www.lulu.com/shop/allen-downey/elements-of-data-science/paperback/product-9dyrwn.html)." ] }, { diff --git a/_sources/07_dataframes.ipynb b/_sources/07_dataframes.ipynb index 09851b9..878109e 100644 --- a/_sources/07_dataframes.ipynb +++ b/_sources/07_dataframes.ipynb @@ -4,9 +4,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Printed copies of *Elements of Data Science* are available now, with a **full color interior**.\n", - "\n", - "From July 17 to July 31, [get 20% off at Lulu.com](https://www.lulu.com/shop/allen-downey/elements-of-data-science/paperback/product-9dyrwn.html)." + "Printed copies of *Elements of Data Science* are available now, with a **full color interior**, from [Lulu.com](https://www.lulu.com/shop/allen-downey/elements-of-data-science/paperback/product-9dyrwn.html)." ] }, { diff --git a/_sources/08_distributions.ipynb b/_sources/08_distributions.ipynb index 7beca5b..33f68d3 100644 --- a/_sources/08_distributions.ipynb +++ b/_sources/08_distributions.ipynb @@ -4,9 +4,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Printed copies of *Elements of Data Science* are available now, with a **full color interior**.\n", - "\n", - "From July 17 to July 31, [get 20% off at Lulu.com](https://www.lulu.com/shop/allen-downey/elements-of-data-science/paperback/product-9dyrwn.html)." + "Printed copies of *Elements of Data Science* are available now, with a **full color interior**, from [Lulu.com](https://www.lulu.com/shop/allen-downey/elements-of-data-science/paperback/product-9dyrwn.html)." ] }, { diff --git a/_sources/09_relationships.ipynb b/_sources/09_relationships.ipynb index b2f6382..7f7c8e0 100644 --- a/_sources/09_relationships.ipynb +++ b/_sources/09_relationships.ipynb @@ -4,9 +4,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Printed copies of *Elements of Data Science* are available now, with a **full color interior**.\n", - "\n", - "From July 17 to July 31, [get 20% off at Lulu.com](https://www.lulu.com/shop/allen-downey/elements-of-data-science/paperback/product-9dyrwn.html)." + "Printed copies of *Elements of Data Science* are available now, with a **full color interior**, from [Lulu.com](https://www.lulu.com/shop/allen-downey/elements-of-data-science/paperback/product-9dyrwn.html)." ] }, { diff --git a/_sources/10_regression.ipynb b/_sources/10_regression.ipynb index da0a4de..21d920e 100644 --- a/_sources/10_regression.ipynb +++ b/_sources/10_regression.ipynb @@ -4,9 +4,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Printed copies of *Elements of Data Science* are available now, with a **full color interior**.\n", - "\n", - "From July 17 to July 31, [get 20% off at Lulu.com](https://www.lulu.com/shop/allen-downey/elements-of-data-science/paperback/product-9dyrwn.html)." + "Printed copies of *Elements of Data Science* are available now, with a **full color interior**, from [Lulu.com](https://www.lulu.com/shop/allen-downey/elements-of-data-science/paperback/product-9dyrwn.html)." ] }, { diff --git a/_sources/11_resampling.ipynb b/_sources/11_resampling.ipynb index db77de2..192386d 100644 --- a/_sources/11_resampling.ipynb +++ b/_sources/11_resampling.ipynb @@ -4,9 +4,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Printed copies of *Elements of Data Science* are available now, with a **full color interior**.\n", - "\n", - "From July 17 to July 31, [get 20% off at Lulu.com](https://www.lulu.com/shop/allen-downey/elements-of-data-science/paperback/product-9dyrwn.html)." + "Printed copies of *Elements of Data Science* are available now, with a **full color interior**, from [Lulu.com](https://www.lulu.com/shop/allen-downey/elements-of-data-science/paperback/product-9dyrwn.html)." ] }, { @@ -340,7 +338,7 @@ { "data": { "text/plain": [ - "array([1, 0, 0, 0, 0, 1, 1, 1, 1, 1])" + "array([1, 0, 1, 1, 1, 1, 1, 1, 1, 0])" ] }, "execution_count": 11, @@ -391,7 +389,7 @@ { "data": { "text/plain": [ - "4.883391903610059" + "5.294144493633334" ] }, "execution_count": 13, @@ -452,7 +450,7 @@ "outputs": [ { "data": { - "image/png": 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", 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", 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