|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Apache Spark User Interface (UI) |
Introduction |
User-Defined Schema (UDS) for Domain-Specific Languages (DSL) and Structured Query Language (SQL) |
Introduction |
IoU (Intersection over Union) |
Introduction |
Feature selection: removing unnecessary (constant & quasi constant) features |
Introduction |
Understanding and extracting insights from unstructured data with ML |
Introduction |
Semantic Segmentation Using U-Net with EfficientNet and Pixelshuffle |
Introduction |
Using proxy labels, building a labeling system, and utilizing a labeling service when historical labeled data is unavailable for ML projects |
Introduction |
Principal Component Analysis (PCA) versus Uniform Manifold Approximation and Projection (UMAP) |
Introduction |
Uniform Manifold Approximation and Projection (UMAP) |
Introduction |
Feature selection: Univariate feature selection
|
Introduction |
Unary constraint |
Introduction |
Unconditional probability |
Introduction |
Universal quantification |
Introduction |
Uninformed search/blind search algorithms |
Introduction |
Comparison among sigmoid, hyperbolic tangent (tanh) and rectified linear unit (ReLU) functions |
Introduction |
Updating Hypothesis (ĥ) and/or Parameter θ^ in ML |
Introduction |
Probability density function (PDF): comparisons between (normal (gaussian) distribution, uniform distribution, exponential distribution and poisson distribution) |
Introduction |
Underfitting in ML |
Introduction |
Rectified Linear Units (ReLUs) |
Introduction |
|
|
Unsupervised learning |
Introduction |
◆ |
Clustering |
Introduction |
|
|
Check updated new files in a folder |
Introduction |
◆ |
Convolutional Autoencoder (CAE) |
Introduction |
|
|
UiPath |
|
◆ |
Examples of UiPath applications |
Introduction |
◆ |
Installation of UiPath and its packages and creation of new projects |
Introduction |
◆ |
Comparison between Python, Blue Prism, UiPath, Automation Anywhere |
Introduction |
|
|
Union Bound/Boole's Inequality |
Introduction |
Change/capitalize the case of the first letter of a string (first letter: uppercase; other letters: lowercase) |
Introduction |
Match on images to find and to highlight unsimilar (threshold=0) to identical (threshold=1) regions of an image that match a template with a cross-correlation method |
code |
Work (read, write, and merge and unmerge cells) in Excel sheets |
Introduction |
Select/input a folder/directory/path for later to be called to use |
Introduction |
Build databases with different/uncertain number of members |
Introduction |
Count the numbers of uppercase letters, lowercase letters and spaces in a string and then swap the cases of the letters. |
code |
Compute the difference between two images by using Structural Similarity Index
with "pip install --upgrade imutils" |
code. code |
Pickling and unpickling of pandas DataFrame (.pkl) |
Introduction |
Upload files to webpages |
Introduction |
Open an image to file from URL (webpage), then it can be saved in PC |
code, code. open with color changed. |
send_keys() and its uploading images to webpage |
Introduction |
Avoid two or multiple plots being wrongly/incorrectly/unnecessarily mixed/overlap |
Introduction |
Merge dictionaries (update(), **, chain(), ChainMap(), |, |=) |
Introduction |
Lock a file to prevent deleting, and then release/unlock the file once job is done |
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 |
Strong machine learning and NLP departments in universities |
Introduction |
Uniform convergence |
Introduction |
Update parameters θj using gradient of the loss function |
Introduction |
What are the students in university Mainly focusing on? |
Introduction |
Get username and password with getpass |
Introduction |
Supervised, unsupervised and reinforcement learning |
Introduction |
Overfitting and underfitting |
Introduction |
Read a frequently updated file periodically (similar to watchdog) |
Introduction |
Remove/reload/unload an imported module/function/script |
Introduction |
Access and use SQL Database on SSMS (Microsoft SQL Server Management Studio Express) with pyodbc |
Introduction |
Access and use SQL Database on SSMS (Microsoft SQL Server Management Studio Express) with pyodbc: localhost, insert rows, update, count updated, delete rows, comparision between extract data by Python and SQL itself |
Introduction |
Convert/change the case of all letters/word into uppercase (capital) or lowercase in a list of strings |
Introduction |
Remove unwanted/unnecessary parts from strings in a column of dataframe |
Introduction |
Safely use credentials (username and password) in Python project |
Introduction |
Remove string 0s from the back/end of a list until non-zero values |
Introduction |
HTTP(Hypertext Transfer Protocol)/URL (Uniform Resource Locator) |
Introduction |
|
|
|
|
|
|
|
|
|
|
usecols |
CSV: Only store the columns which are need so that a subset of columns is returned, resulting in much faster parsing time and lower memory usage. code. |
usecols |
CSV: skip column. code. code. code. code. |
from pptx.util import Inches |
(code) |
from pptx.util import Pt |
(code) |
unique() |
CSV: (code) (code) |
.text() |
(code) |
watchdog.utils.bricks.SkipRepeatsQueue |
Thread-safe event queue based on a special queue that skips adding the same event (FileSystemEvent) multiple times consecutively. Thus avoiding dispatching multiple event handling calls when multiple identical events are produced quicker than an observer can consume them. |
watchdog.utils.BaseThread |
Producer thread base class subclassed by event emitters that generate events and populate a queue with them.
Parameters: event_queue (watchdog.events.EventQueue) – The event queue to populate with generated events.
watch (ObservedWatch) – The watch to observe and produce events for.
timeout (float) – Timeout (in seconds) between successive attempts at reading events. |
watchdog.utils.BaseThread |
Consumer thread base class subclassed by event observer threads that dispatch events from an event queue to appropriate event handlers.
Parameters: timeout (float) – Event queue blocking timeout (in seconds). |
unschedule(watch) |
Unschedules a watch.
Parameters: watch (An instance of ObservedWatch or a subclass of ObservedWatch) – The watch to unschedule. |
unschedule_all() |
Unschedules all watches and detaches all associated event handlers. |
class watchdog.utils.BaseThread |
class watchdog.utils.dirsnapshot.DirectorySnapshot(path, recursive=True, walker_callback=<function <lambda> at 0x7f78fbeed500>, stat=<built-in function stat>, listdir=<built-in function listdir>) |
A snapshot of stat information of files in a directory.
Parameters:
path (str) – The directory path for which a snapshot should be taken.
recursive (bool) – True if the entire directory tree should be included in the snapshot; False otherwise.
walker_callback –
Deprecated since version 0.7.2.
stat –
Use custom stat function that returns a stat structure for path. Currently only st_dev, st_ino, st_mode and st_mtime are needed.
A function with the signature walker_callback(path, stat_info) which will be called for every entry in the directory tree.
listdir – Use custom listdir function. See os.listdir for details. |
class watchdog.utils.dirsnapshot.DirectorySnapshotDiff(ref, snapshot) |
Compares two directory snapshots and creates an object that represents the difference between the two snapshots.
Parameters:
ref (DirectorySnapshot) – The reference directory snapshot.
snapshot (DirectorySnapshot) – The directory snapshot which will be compared with the reference snapshot. |
upper() |
Returns the string by converting all the characters of the string to upper case. code. code. |
urllib |
urllib is a package that collects several modules for working with URLs:
urllib.error containing the exceptions raised by urllib.request
urllib.parse for parsing URLs
urllib.robotparser for parsing robots.txt files |
urllib.request |
Defines functions and classes that help to open the URL (for opening and reading URLs/www webpages). Introduction. code. |
urlretrieve |
Is used for retrieving the files, and the URL is assigned. |
use_index |
Use the object index for tick labels |
Count duplicates/occurrence and show unique values in csv files |
CSV: Introduction |
hotkey('up') |
Introduction |
hotkey('u') |
Introduction |
.mouseUp() |
Move the mouse and then release it. .mouseUp(x=moveToX, y=moveToY, button='left'). .click() function is just a convenient wrapper around these two .mouseDown() and .mouseUp() function calls. (code) |
random.uniform() |
(code). |