Electron microscopy
  
Python Automation and Machine Learning for ICs: Chapter K
- Python Automation and Machine Learning for ICs -
- An Online Book: Python Automation and Machine Learning for ICs by Yougui Liao -
Python Automation and Machine Learning for ICs                                                             http://www.globalsino.com/ICs/        


Table of Contents/Index 
Chapter/Index: Introduction | A | B | C | D | E | F | G | H | I | J | K | L | M | N | O | P | Q | R | S | T | U | V | W | X | Y | Z | Appendix

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K-means clustering and PCA for failure analysis Introduction
Clusters (Kubernetes, Apache Mesos, Spark Standalone, Apache Hadoop YARN) in Apache Spark Introduction
Apache Spark applications to a Kubernetes cluster Introduction
Apache Kudu  Introduction
Google Kubernetes Engine (GKE) Introduction
Ingesting data in Hadoop (Sqoop, Flume, Kafka, NiFi) Introduction
Filters (Kernels) in ML Introduction
Knowledge Engineering in ML Introduction
Knowledge base (repository) Introduction
Keyword arguments Introduction
   
Keras Introduction
◆ Comparison between Keras and Estimators (tf.estimators) Introduction
◆ 3 ways to create a Keras model with TensorFlow  
  ✔ Sequential API to create a Keras model with TensorFlow Introduction
  ✔ Functional API to create a Keras model with TensorFlow Introduction
  ✔ Model Subclassing to create a Keras model with TensorFlow Introduction
◆ tf.keras API Introduction
◆ Keras preprocessing layers Introduction
◆ keras.layers.normalization Introduction
◆ tf.keras.layers.CategoryEncoding Introduction
◆ tf.keras.layers.Discretization Introduction
◆ tf.keras.layers.Hashing Introduction
◆ tf.keras.layers.StringLookup Introduction
◆ tf.keras.layers.IntegerLookup Introduction
◆ tf.keras.model.save() Introduction
◆ tf.keras.optimizers.Adam Introduction
◆ tf.keras.layers.TextVectorization Introduction
k-means algorithm Introduction
◆ K-Means clustering for images Introduction
◆ sklearn.cluster.KMeans() Introduction
Double click of mouse Introduction
Mouse right-click Introduction
Mouse left-click Introduction
Left click a specific position Introduction
Right click a specific position Introduction
Double click a specific position Introduction
Find the values of the keys Introduction
Save key and escape (ESC) key code. code.
Keyword search function/check whether or not a string is within another string (a space is included as a string character) Introduction
Text/keyword classification/sort/prediction, training/test e.g. Youtube spam Introduction
Knowledge-based agents Introduction
K-Fold Cross-Validation Introduction
Knuth-Morris-Pratt (KMP) algorithm (a string-searching algorithm) Introduction
Indicator function/Kronecker delta function Introduction
Linear correlation between two variables with Pearson Correlation Coefficient, Spearman Rank Correlation Coefficient, Kendall's Tau, Linear Regression, Coefficient of Determination and Correlation Ratio
 Introduction
Kernel density estimation (KDE) Introduction
Bandwidth parameter (τ) in LWR and KDE Introduction
Print the files and keyword occurrence which have been searched from a ppt file Introduction
from keyboard import is_pressed (Esc, check pressed key) Introduction
Check if a key exists in a dictionary Introduction
Create dictionary from nested (sublist) list and get the values with keys Introduction
Kernel tricks and kernel function Introduction
Codes: Automation of Mouse Movements and Clicks, and keyboard control (comparison among pyautogui, pygetwindow, pydirectinput, autoit, Quartz, platform, ctypes, uiautomation and Sikuli) Introduction
Principle and troubleshooting: Automation of Mouse Movements and Clicks (comparison among pyautogui, pygetwindow, pydirectinput, autoit, Quartz, platform, ctypes, uiautomation and Sikuli) Introduction
Kendall Tau Rank Correlation Coefficient Introduction
kfp.dsl package versus pipelines and components Introduction
K-Nearest Neighbours (KNN algorithm):sklearn, model_selection, train_test_split, preprocessing, StandardScaler, transform(), fit_transform(), .fit(), neighbors, KNeighborsClassifier, KNeighborsClassifier(), predict(), metrics, accuracy_score(), and classification_report Introduction
   
Keywords Introduction
◆ Keyword extraction methods Introduction
  ✔ Keyword extraction methods from documents in Natural Language Processing (NLP) Introduction
  ✔ Rapid Automatic Keyword Extraction (RAKE) Introduction
  ✔ Stopwords/stoplist Introduction
  ✔ Candidate keywords Introduction
  ✔ Keyword module in Python Introduction
  ✔ Build own/customized keyword candidates Introduction
  ✔ Keyword scores Introduction
  ✔ Put the keywords in a grouped string into the first available cells in the corresponding columns in a csv file Introduction
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keep_default_na CSV: whether to include the default set of missing values in addition to the ones specified in na_values
keep_date_col CSV: if True, then date component columns passed into parse_dates will be retained in the output (False by default).
keep='first'/keep='last' CSV: (code)
Euclidean distance Introduction
Accuracy/precision test Introduction
Get response of the nearest neighbors Introduction
Get the nearest neighbors Introduction
random.random() Introduction
f1_score() f1_score: float or array of float, shape = [n_unique_labels]
F1 score of the positive class in binary classification or weighted average of the F1 scores of each class for the multiclass task. (code)
from selenium.webdriver.common.keys import Keys (code)
pyautogui.click(x, y, t) x and y: coordinates, and t: times of clicks. Introduction.
.rightClick() .rightClick(x=moveToX, y=moveToY) (Code)
.middleClick() .middleClick(x=moveToX, y=moveToY) (Code)
.doubleClick() .doubleClick(x=moveToX, y=moveToY) (Code)
.tripleClick() .tripleClick(x=moveToX, y=moveToY) (Code)
confusion_matrix (code)
write() Save as a text file. Instruction. (Code)
.typewrite() E.g. .typewrite('Hello world!\n', interval=secs_between_keys); .typewrite(['a', 'b', 'c', 'left', 'backspace', 'enter', 'f1'], interval=secs_between_keys). (Code)
enter (Code)
ESC (Code)
F1 (Code)
F2 (Code)
F3 (Code)
F4 (Code)
F5 (Code)
F6 (Code)
F7 (Code)
F8 (Code)
F9 (Code)
F10 (Code)
F11 (Code)
F12 (Code)
keyDown() Find the values of the keys. Several key strings which will be pressed down in order, and then released in reverse order. Strings can be passed to this function: '\t', '\n', '\r', ' ', '!', '"', '#', '$', '%', '&', "'", '(', ')', '*', '+', ',', '-', '.', '/', '0', '1', '2', '3', '4', '5', '6', '7', '8', '9', ':', ';', '<', '=', '>', '?', '@', '[', '\\', ']', '^', '_', '`', 'a', 'b', 'c', 'd', 'e','f', 'g', 'h', 'i', 'j', 'k', 'l', 'm', 'n', 'o', 'p', 'q', 'r', 's', 't', 'u', 'v', 'w', 'x', 'y', 'z', '{', '|', '}', '~', 'accept', 'add', 'alt', 'altleft', 'altright', 'apps', 'backspace', 'browserback', 'browserfavorites', 'browserforward', 'browserhome', 'browserrefresh', 'browsersearch', 'browserstop', 'capslock', 'clear', 'convert', 'ctrl', 'ctrlleft', 'ctrlright', 'decimal', 'del', 'delete', 'divide', 'down', 'end', 'enter', 'esc', 'escape', 'execute', 'f1', 'f10', 'f11', 'f12', 'f13', 'f14', 'f15', 'f16', 'f17', 'f18', 'f19', 'f2', 'f20', 'f21', 'f22', 'f23', 'f24', 'f3', 'f4', 'f5', 'f6', 'f7', 'f8', 'f9', 'final', 'fn', 'hanguel', 'hangul', 'hanja', 'help', 'home', 'insert', 'junja', 'kana', 'kanji', 'launchapp1', 'launchapp2', 'launchmail', 'launchmediaselect', 'left', 'modechange', 'multiply', 'nexttrack', 'nonconvert', 'num0', 'num1', 'num2', 'num3', 'num4', 'num5', 'num6', 'num7', 'num8', 'num9', 'numlock', 'pagedown', 'pageup', 'pause', 'pgdn', 'pgup', 'playpause', 'prevtrack', 'print', 'printscreen', 'prntscrn', 'prtsc', 'prtscr', 'return', 'right', 'scrolllock', 'select', 'separator', 'shift', 'shiftleft', 'shiftright', 'sleep', 'space', 'stop', 'subtract', 'tab', 'up', 'volumedown', 'volumemute', 'volumeup', 'win', 'winleft', 'winright', 'yen', 'command', 'option', 'optionleft', 'optionright'. (code)
keyUp()
press()
hold() Holds a key conveniently and passes a string from the pyautogui.KEYBOARD_KEYS such as shift, ctrl, alt. (code)
GetKeyState(VK_NUMLOCK) Turn off or on Num Lock. .press("numlock") (code).
GetKeyState(VK_CAPITAL) Caps Lock, .press("capslock"). (code).
hotkey() Several key strings which will be pressed down in order, and then released in reverse order. Strings can be passed to this function: '\t', '\n', '\r', ' ', '!', '"', '#', '$', '%', '&', "'", '(', ')', '*', '+', ',', '-', '.', '/', '0', '1', '2', '3', '4', '5', '6', '7', '8', '9', ':', ';', '<', '=', '>', '?', '@', '[', '\\', ']', '^', '_', '`', 'a', 'b', 'c', 'd', 'e','f', 'g', 'h', 'i', 'j', 'k', 'l', 'm', 'n', 'o', 'p', 'q', 'r', 's', 't', 'u', 'v', 'w', 'x', 'y', 'z', '{', '|', '}', '~', 'accept', 'add', 'alt', 'altleft', 'altright', 'apps', 'backspace', 'browserback', 'browserfavorites', 'browserforward', 'browserhome', 'browserrefresh', 'browsersearch', 'browserstop', 'capslock', 'clear', 'convert', 'ctrl', 'ctrlleft', 'ctrlright', 'decimal', 'del', 'delete', 'divide', 'down', 'end', 'enter', 'esc', 'escape', 'execute', 'f1', 'f10', 'f11', 'f12', 'f13', 'f14', 'f15', 'f16', 'f17', 'f18', 'f19', 'f2', 'f20', 'f21', 'f22', 'f23', 'f24', 'f3', 'f4', 'f5', 'f6', 'f7', 'f8', 'f9', 'final', 'fn', 'hanguel', 'hangul', 'hanja', 'help', 'home', 'insert', 'junja', 'kana', 'kanji', 'launchapp1', 'launchapp2', 'launchmail', 'launchmediaselect', 'left', 'modechange', 'multiply', 'nexttrack', 'nonconvert', 'num0', 'num1', 'num2', 'num3', 'num4', 'num5', 'num6', 'num7', 'num8', 'num9', 'numlock', 'pagedown', 'pageup', 'pause', 'pgdn', 'pgup', 'playpause', 'prevtrack', 'print', 'printscreen', 'prntscrn', 'prtsc', 'prtscr', 'return', 'right', 'scrolllock', 'select', 'separator', 'shift', 'shiftleft', 'shiftright', 'sleep', 'space', 'stop', 'subtract', 'tab', 'up', 'volumedown', 'volumemute', 'volumeup', 'win', 'winleft', 'winright', 'yen', 'command', 'option', 'optionleft', 'optionright'. (code)
.scroll() .scroll(amount_to_scroll, x=moveToX, y=moveToY). (code).
.keys()
 Return the dictionary's keys. General.
   
**kwargs

Allows you to pass multiple, varying, keyworded variable length of arguments to a function. It should be used if you want to handle named arguments in a function. Introduction.

kron(a, b) Kronecker product of two arrays.
__kwdefaults__/dict name/type: default values for the keyword-only formal parameters
kind Can be 'area', 'bar', 'barh', 'density', 'hist', 'kde', 'line', 'pie'
hotkey('k') Introduction
.kill() (code).
Variable length arguments (*args and **kwargs) Introduction

 

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