Index
A
Anaconda
main screen
.append() method
Area charts
Assignment operators
.astype() method
B
Bar chart
Bitwise operators
boxplot() function
Box plots
C
Clustering
Color palette
Comparison operators
.concatenate() function
.concat() method
Conditional instructions
elif
extend functions with
if
if + else
Continuum.io
.csv format
Custom area chart
D
DataFrame() function
DataFrame, Pandas
aggregation
Boolean operators
creation
cross-tab creation
.info() method
rearranging data
slicing
visualization
Data manipulation, Pandas
Data mining libraries
Dependent variable
.describe() method
df.to_excel()
dir() function
Divide et impera model
.drop_duplicates()
.drop() method
.dstack() function
.dtype() function
E
Errors and exceptions
handled exception
managing exceptions
syntax errors
TypeError
unhandled exception
F
Feedparser format
.fillna methods
filter() function
Fourier transform
Functions
creating
elements
information
predefined built-in functions
saving modules and files
types
G
Github
.groupby()
H
.head() method
Histogram
datasets
.hsplit() function
I
Importing files
modes, open file
structure
web
Imputation methods
.index() method
.info() method
.insert() method
Integrated development environments (IDEs)
.isnull()
J
JSON
Jupyter
open script
tool
K
KMeans
L
Lambda function
List comprehension
load() function
loadtxt() function
.loc method
Loops
continue and break
for
range() function
while
lxml format
M
Machine learning
Apple and Microsoft
cross-validation
decision trees
field of
Google
importing datasets
KMeans
k-nearest neighbor algorithm
predictive data mining
preprocessing
regression
research
support vector machine
training and testing datasets
UCI
iris dataset
web site features
uses
map() function
Mathematical operators
Matplotlib
custom plot
element colors
grid and legend
legend shape
library
line style
markers
plot and chart styles
plotted list
repositioned legend
round objects
.savefig method
scatterplot
subplot() function
title and axes labels
melt() function
Membership operators
merge() function
Methods
.append method
help() function
on Jupyter
print() function
using Spyder
Modules
categories
elements
import instruction
installing package
math
methods
N
ndarray
Nesting
.notnull()
np.random.randn() function
np.random.seed() function
Numarray
NumPy
.concatenate() function
data storing, options
.dstack() function
.dtype() function
.hsplit() function
multidimensional arrays
object creation
package
random numbers and seeds
DataFrame () function
dataset
generate
integers
load() function
np.random.randn() function
poisson distribution
random.rand() function
rows and columns
three-dimensional array
uniform distribution
.ravel() method
resize() function
.vsplit() function
NumPy arrange() function
NumPy library
O
Object-oriented programming
classes
inheritance
objects
ones() function
open() function
Operators
assignment
bitwise
comparison
mathematical
membership
priority rules
P, Q
Pandas
datasets merging
function
importing and exporting data
missing values
series
statistics
pd.read_csv() function
Pie charts
custom colors
exploded
hex codes
labels
pivot_table() function
PyMongo format
.py script
Python
code comment
code running
command
container objects
data types
dictionary
file format
folders and files
format conversion
future
homepage
IDEs
Jupyter
Spyder
immutable
tuple
with string
indentation
installing
list
mathematical operations
numbers
objects
properties
rules
operators (
see
Operators)
quotation marks
reserved terms
set
string
terminal
website
work directory
Python2
vs.
Python3
Python3
Python shell symbol
Python-specific IDEs
python test.py script
R
Random data frame
range() function
.ravel() method
Regular expressions (regex)
e-mail addresses
.findall()
re module
re.search()
symbols
.replace method
resize() function
Response variable
S
.sample() function
.savefig method
Scatterplot
Scikit-learn package
data sources
machine learning (
see
Machine learning)
managing dates
SciPy
.split() function
Spyder
SQLite3 format
Stacked bars
stack() functions
Statistical methods
.sum()
Support vector machine
T
.tail() method
Text editors
.T() function
Tuples
sequences
type() function
U
unstack() function
User input
numbers
raw_input() function
V, W
.value_counts() method
.vsplit() function
X, Y
xlrd format
Z
zeros() function
..................Content has been hidden....................
You can't read the all page of ebook, please click here login for view all page.