while语句

字符串边缘填充

列出文件夹中的指定文件类型

All Combinations For A List Of Objects

Apply Operations Over Items In A List

Applying Functions To List Items

Arithmetic Basics

Assignment Operators

Basic Operations With NumPy Array

Breaking Up String Variables

Brute Force D20 Roll Simulator

Cartesian Product

Chain Together Lists

Cleaning Text

Compare Two Dictionaries

Concurrent Processing

Continue And Break Loops

Convert HTML Characters To Strings

Converting Strings To Datetime

Create A New File Then Write To It

Create A Temporary File

Data Structure Basics

Date And Time Basics

Dictionary Basics

Display JSON

Display Scientific Notation As Floats

Exiting A Loop

Find The Max Value In A Dictionary

Flatten Lists Of Lists

For Loop

Formatting Numbers

Function Annotation Examples

Function Basics

Functions Vs. Generators

Generating Random Numbers With NumPy

Generator Expressions

Hard Wrapping Text

How To Use Default Dicts

If Else On Any Or All Elements

Indexing And Slicing NumPy Arrays

Indexing And Slicing NumPy Arrays

Iterate An Ifelse Over A List

Iterate Over Multiple Lists Simultaneously

Iterating Over Dictionary Keys

Lambda Functions

Logical Operations

Looping Over Two Lists

Mathematical Operations

Mocking Functions

Nested For Loops Using List Comprehension

Nesting Lists

Numpy Array Basics

Parallel Processing

Partial Function Applications

Priority Queues

Queues And Stacks

Recursive Functions

Scheduling Jobs In The Future

Select Random Element From A List

Selecting Items In A List With Filters

Set The Color Of A Matplotlib Plot

Sort A List Of Names By Last Name

Sort A List Of Strings By Length

Store API Credentials For Open Source Projects

String Formatting

String Indexing

String Operations

Swapping Variable Values

Unpacking A Tuple

Unpacking Function Arguments

Use Command Line Arguments In A Function

Using Named Tuples To Store Data

any(), all(), max(), min(), sum()

if and if else

repr vs. str

Try, Except, 和 Finally

1.2?数据可视化

Back To Back Bar Plot In MatPlotLib

Bar Plot In MatPlotLib

Color Palettes in Seaborn

Creating A Time Series Plot With Seaborn And pandas

Creating Scatterplots With Seaborn

Group Bar Plot In MatPlotLib

Histograms In MatPlotLib

Making A Matplotlib Scatterplot From A Pandas Dataframe

Matplotlib, A Simple Example

Pie Chart In MatPlotLib

Scatterplot In MatPlotLib

Stacked Percentage Bar Plot In MatPlotLib

1.3?数据整理

查找数据框中的唯一值

连接合并数据框

Columns Shared By Two Data Frames

Apply Functions By Group In Pandas

Apply Operations To Groups In Pandas

Applying Operations Over pandas Dataframes

Assign A New Column To A Pandas DataFrame

Break A List Into N-Sized Chunks

Breaking Up A String Into Columns Using Regex In pandas

Construct A Dictionary From Multiple Lists

Convert A CSV Into Python Code To Recreate It

Convert A Categorical Variable Into Dummy Variables

Convert A Categorical Variable Into Dummy Variables

Convert A String Categorical Variable To A Numeric Variable

Convert A Variable To A Time Variable In pandas

Count Values In Pandas Dataframe

Create A Pipeline In Pandas

Create A pandas Column With A For Loop

Create Counts Of Items

Create a Column Based on a Conditional in pandas

Creating Lists From Dictionary Keys And Values

Crosstabs In pandas

Delete Duplicates In pandas

Descriptive Statistics For pandas Dataframe

Dropping Rows And Columns In pandas Dataframe

Enumerate A List

Expand Cells Containing Lists Into Their Own Variables In Pandas

Filter pandas Dataframes

Find Largest Value In A Dataframe Column

Geocoding And Reverse Geocoding

Geolocate A City And Country

Geolocate A City Or Country

Group A Time Series With pandas

Group Data By Time

Group Pandas Data By Hour Of The Day

Grouping Rows In pandas

Hierarchical Data In pandas

List Unique Values In A pandas Column

Load A JSON File Into Pandas

Load An Excel File Into Pandas

Load Excel Spreadsheet As pandas Dataframe

Loading A CSV Into pandas

Long To Wide Format

Lower Case Column Names In Pandas Dataframe

Make New Columns Using Functions

Map External Values To Dataframe Values in pandas

Missing Data In pandas Dataframes

Moving Averages In pandas

Normalize A Column In pandas

Pivot Tables In pandas

Quickly Change A Column Of Strings In Pandas

Random Sampling Dataframe

Ranking Rows Of Pandas Dataframes

Regular Expression Basics

Regular Expression By Example

Reindexing pandas Series And Dataframes

Rename Column Headers In pandas

Rename Multiple pandas Dataframe Column Names

Replacing Values In pandas

Saving A pandas Dataframe As A CSV

Search A pandas Column For A Value

Select Rows When Columns Contain Certain Values

Select Rows With A Certain Value

Select Rows With Multiple Filters

Selecting pandas DataFrame Rows Based On Conditions

Simple Example Dataframes In pandas

Sorting Rows In pandas Dataframes

Split Lat/Long Coordinate Variables Into Seperate Variables

Streaming Data Pipeline

String Munging In Dataframe

Using List Comprehensions With pandas

Using Seaborn To Visualize A pandas Dataframe

pandas Data Structures

pandas Time Series Basics

1.4?日志

Basic Logging

1.5?其它

Generate Tweets Using Markov Chains

Mine Twitter's Stream For Hashtags Or Words

Simple Clustering With SciPy

What Is The Probability An Economy Class Seat Is An Aisle Seat?

1.6?测试

Simple Unit Test

Test Code Speed

Test For A Specific Exception

Test If Output Is Close To A Value

Testable Documentation

1.7?网络爬虫

Beautiful Soup Basic HTML Scraping

Drilling Down With Beautiful Soup

Monitor A Website For Changes With Python

机器学习

1.1??基础知识

Loading Features From Dictionaries

Loading scikit-learn's Boston Housing Dataset

Loading scikit-learn's Digits Dataset

Loading scikit-learn's Iris Dataset

Make Simulated Data For Classification

Make Simulated Data For Clustering

Make Simulated Data For Regression

Perceptron In Scikit

Saving Machine Learning Models

1.2??聚类

DBSCAN聚类

Meanshift聚类

聚类评估

Agglomerative聚类

Mini-Batch k-Means Clustering

k-Means Clustering

1. 3?特征工程

Dimensionality Reduction On Sparse Feature Matrix

Dimensionality Reduction With Kernel PCA

Dimensionality Reduction With PCA

Feature Extraction With PCA

Group Observations Using K-Means Clustering

Selecting The Best Number Of Components For LDA

Selecting The Best Number Of Components For TSVD

Using Linear Discriminant Analysis For Dimensionality Reduction

1.4??特征选择

ANOVA F-value For Feature Selection

Chi-Squared For Feature Selection

Drop Highly Correlated Features

Recursive Feature Elimination

Variance Thresholding Binary Features

特征选择之方差阈值

1.5??线性回归

Adding Interaction Terms

Create Interaction Features

Effect Of Alpha On Lasso Regression

Lasso Regression

Linear Regression

Linear Regression Using Scikit-Learn

Ridge Regression

Selecting The Best Alpha Value In Ridge Regression

1. 6?逻辑斯特回归

Fast C Hyperparameter Tuning

Handling Imbalanced Classes In Logistic Regression

Logistic Regression

Logistic Regression On Very Large Data

Logistic Regression With L1 Regularization

One Vs. Rest Logistic Regression

1. 7?模型评估

Accuracy

Create Baseline Classification Model

Create Baseline Regression Model

Cross Validation Pipeline

Cross Validation With Parameter Tuning Using Grid Search

Cross-Validation

Custom Performance Metric

F1 Score

Generate Text Reports On Performance

Nested Cross Validation

Plot The Learning Curve

Plot The Receiving Operating Characteristic Curve

Plot The Validation Curve

Precision

Recall

Split Data Into Training And Test Sets

1.8?模型选择

随机搜索进行超参数调参

Find Best Preprocessing Steps During Model Selection

Hyperparameter Tuning Using Grid Search

Model Selection Using Grid Search

Pipelines With Parameter Optimization

1.9??朴素贝叶斯

Bernoulli Naive Bayes Classifier

Calibrate Predicted Probabilities

Gaussian Naive Bayes Classifier

Multinomial Logistic Regression

Multinomial Naive Bayes Classifier

Naive 大专栏  MatterTrack Route Of Network Traffic :: Matter Bayes Classifier From Scratch

1.10?KNN

Identifying Best Value Of k

K-Nearest Neighbors Classification

Radius-Based Nearest Neighbor Classifier

1.11?日期时间数据处理

Break Up Dates And Times Into Multiple Features

Calculate Difference Between Dates And Times

Convert Strings To Dates

Convert pandas Columns Time Zone

Encode Days Of The Week

Handling Missing Values In Time Series

Handling Time Zones

Lag A Time Feature

Rolling Time Window

Select Date And Time Ranges

1.12?图像处理

Binarize Images

Blurring Images

Cropping Images

Detect Edges

Enhance Contrast Of Color Image

Enhance Contrast Of Greyscale Image

Harris Corner Detector

Installing OpenCV

Isolate Colors

Load Images

Remove Backgrounds

Save Images

Sharpen Images

Shi-Tomasi Corner Detector

Using Mean Color As A Feature

1.13?处理结构化数据

Convert Pandas Categorical Data For Scikit-Learn

Delete Observations With Missing Values

Deleting Missing Values

Detecting Outliers

Discretize Features

Encoding Ordinal Categorical Features

Handling Imbalanced Classes With Downsampling

Handling Imbalanced Classes With Upsampling

Handling Outliers

Impute Missing Values With Means

Imputing Missing Class Labels

Imputing Missing Class Labels Using k-Nearest Neighbors

Normalizing Observations

One-Hot Encode Features With Multiple Labels

One-Hot Encode Nominal Categorical Features

Preprocessing Categorical Features

Preprocessing Iris Data

Rescale A Feature

Standardize A Feature

1.14?处理文本

Bag Of Words

Parse HTML

Remove Punctuation

Remove Stop Words

Replace Characters

Stemming Words

Strip Whitespace

Tag Parts Of Speech

Term Frequency Inverse Document Frequency

Tokenize Text

1.15?支持向量机

Calibrate Predicted Probabilities In SVC

Find Nearest Neighbors

Find Support Vectors

Imbalanced Classes In SVM

Plot The Support Vector Classifiers Hyperplane

SVC Parameters When Using RBF Kernel

Support Vector Classifier

1.16?树和森林

随机森林做特征选择

Adaboost Classifier

Decision Tree Classifier

Decision Tree Regression

Feature Importance

Handle Imbalanced Classes In Random Forest

Random Forest Classifier

Random Forest Classifier Example

Random Forest Regression

Select Important Features In Random Forest

Titanic Competition With Random Forest

Visualize A Decision Tree

1.17?向量，，矩阵和数组

Adding And Subtracting Matrices

Apply Operations To Elements

Calculate Dot Product Of Two Vectors

Calculate The Average, Variance, And Standard Deviation

Calculate The Determinant Of A Matrix

Calculate The Trace Of A Matrix

Converting A Dictionary Into A Matrix

Create A Matrix

Create A Sparse Matrix

Create A Vector

Describe An Array

Find The Maximum And Minimum

Find The Rank Of A Matrix

Flatten A Matrix

Getting The Diagonal Of A Matrix

Invert A Matrix

Reshape An Array

Selecting Elements In An Array

Transpose A Vector Or Matrix

数据可视化

3.1?boxplot

3.2?柱状图

3.3?箱线图

3.4?相关性图

3.5?密度图

12.5.1 一般密度图

12.5.2 边缘密度

3.6?分布图

3.7?趋势图

3.8?流程图

3.9?热图

3.10?直方图

3.11?地图

3.12?网络图

3.13?饼状图

3.14?排序图

3.15?散点图

3.16?小提琴图

3.17?文字云

3.18?其它

Linux

6. 1 基础

Copy Files And Directories

Delete Files And Directories

Delete Files And Directories In Current Directory

Move Files And Directories

Rename File

See Disk Drive Space

Archive And Unarchive Files

Change Permissions

Changing Directories

Check Current Date And Time

Create Command

Create Directory

Create File

Create Sequential List Of Files And Directories

Create Symbolic Links

Exit Terminal Session

Get Help With A Command

Get Information On A File

List Avaliable Commands

List The Contents Of A Directory

Multiple Commands On One Line

Ping Website

See Free Memory

See Who Is Logged Into A System

Select Files Based On Filename

Synchronize Files And Directories

Track Route Of Network Traffic

View A File's Type

View A Text File's Contents

View Current Working Directory

View First And Last Parts Of Files

Zip And Unzip Directories

Zip And Unzip Files

6.2?环境变量

Create Environment Variable

View Aliases

View Environment Variable

6.3??流程控制

For Loops

If Else For Integers

If Else For Strings

If Else With Multiple Conditions

6.4??输入与输出

Append Error To File

Append File Contents To Another File

Append Output To File

Append Outputs And Errors To File

Chain Multiple Commands

Concatenate Multiple Files

Save Output To File In Middle Of Command Chain

Silence Errors

Sort Rows

Write Errors To File

Write Output To File

6.5??进程

List Processes

Monitor Processes

6.6??搜索

Find Directories

Find Files

Find Files Based On Multiple Conditions

Find Files By Filename

Find Files By Size

Find Program's Location

Find Symbolic Links

Search Contents Of All Files Of Certain Type

Search Filenames

Search The Contents Of A File

6.7??文本

Add Columns To Text

Count Unique Rows

Extract Text

Find And Replace

Adding Line Numbers

Comparing Text Files

Join And Sort Text

Join Columns

Quickly View File Contents

深度学习

2.1??Keras

Adding Dropout

Convolutional Neural Network

Feedforward Neural Network For Binary Classification

Feedforward Neural Network For Multiclass Classification

Feedforward Neural Networks For Regression

LSTM Recurrent Neural Network

Neural Network Early Stopping

Neural Network Weight Regularization

Preprocessing Data For Neural Networks

Save Model Training Progress

Tuning Neural Network Hyperparameters

Visualize Loss History

Visualize Neural Network Architecutre

Visualize Performance History

k-Fold Cross-Validating Neural Networks

2.2??Keras

正则表达式

7.1?模式

Match A Symbol

Match A Unicode Character

Match A Word

Match Any Character

Match Any Of A List Of Characters

Match Any Of A Series Of Options

Match Any Of A Series Of Words

Match Dates

Match Email Addresses

Match Exact Text

Match Integers Of Any Length

Match Text Between HTML Tags

Match Times

Match URLs

Match US Phone Numbers

Match US and UK Spellings

Match Words With A Certain Ending

Match ZIP Codes

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