Date & time functions in VB.NET
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A RThis document discusses various date and time functions in Microsoft VisualBasic including DateAdd, DateDiff, DatePart, DateString, DateValue, Now, Second, TimeOfDay, TimeString, TimeValue, Today, WeekDay, and WeekDayName. It provides the arguments and usage for each function, describing what each one returns such as a date/time value, string, or integer. Controls like buttons, labels, and DateTimePickers are also mentioned.
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Page 3 of 11 CISP400V10A4
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Please I am posting the fifth time and hoping to get this r.pdf
"Please I am posting the fifth time and hoping to get this resolved. I want the year to
change from 2014 to 2015 but the days of the month change to 32 rather than 1/1/2015.
Also, Please I want personal information in the heading as well Name: Last: and Course
Name:"
Modify the Time class(attached) to be able to work with Date class. The Time object should
always
remain in a consistent state.
Modify the Date class(attached) to include a Time class object as a composition, a tick member
function that increments the time stored in a Date object by one second, and increaseADay
function to
increase day, month and year when it is proper. Please use CISP400V10A4.cpp that tests the tick
member function in a loop that prints the time in standard format during iteration of the loop to
illustrate that the tick member function works correctly. Be aware that we are testing the following
cases:
a) Incrementing into the next minute.
b) Incrementing into the next hour.
c) Incrementing into the next day (i.e., 11:59:59 PM to 12:00:00 AM).
d) Incrementing into the next month and next year.
Time class
The Time class has three private integer data members, hour (0 - 23 (24-hour clock format)),
minute (0
59), and second (0 59).
It also has Time, setTime, setHour, setMinute, setSecond, getHour(), getMinute,
getSecond,~Time,
printUniversal, and printStandard public functions.
1. The Time function is a default constructor. It takes three integers and they all have 0 as default
values. It also displays "Time object constructor is called." message and calls
printStandard
and printUniversal functions.
2. The setTime function takes three integers but does not return any value. It initializes the
private data members (hour, minute and second) data.
3. The setHour function takes one integer but doesnt return anything. It validates and stores the
integer to the hour private data member.
4. The setMinute function takes one integer but doesnt return anything. It validates and stores
the integer to the minute private data member.
5. The setSecond function takes one integer but doesnt return anything. It validates and stores
the integer to the second private data member.
Page 3 of 11 CISP400V10A4
6. The getHour constant function returns one integer but doesnt take anything. It returns the
private data member hours data.
7. The getMinute constant function returns one integer but doesnt take anything. It returns the
private data member minutes data.
8. The getSecond constant function returns one integer but doesnt take anything. It returns the
private data member seconds data.
9. The Time destructor does not take anything. It displays "Time object destructor is
called."
message and calls printStandard and printUniversal functions.
10. The printUniversal constant function does not return or accept anything. It displays time in
universal-time format.
11. The printStandard constant function does not return or accept anything. It displays time in
standard-time f.
27. mathematical, date and time functions in VB Script
The document describes various date, time, and number functions in VBScript. It provides examples of functions like DateAdd(), DateDiff(), DatePart(), DateSerial(), FormatDateTime(), IsDate(), Day(), Month(), Year(), MonthName(), WeekDay(), Now(), Hour(), Minute(), Second(), Time(), Timer(), and TimeSerial(). These functions allow manipulating dates and times, extracting date/time parts, formatting dates, comparing dates, and converting between number formats in VBScript programs. Syntax and examples are given for each function to demonstrate their usage.
Intro to DAX Patterns
An introductory session to DAX and common analytic patterns that we've built and used in enterprise environments. This session was originally presented at SQL Saturday Silicon Valley 2016.
I just need answers for all TODO- I do not need any explanation or any.pdf
I just need answers for all TODO. I do not need any explanation or any other details. Just
only answer for all TODO.
TODO 6
To complete the TODO finish the below AddPolynomialFeatures class. The below class works
by computing the polynomial feature transform from the passed data and creating/returning a
new DataFrame containing both old and new polynomial features. The class takes in an
argument called degree which determines the degree of the polynomial that will be computed.
Compute the polynomial for the current feature column_name based on the current degree d. To
do so, you need to index data X at the current column using the name of the column stored in
column_name. Once you index the current feature's/column's data, you need to raise data to the
current power determined by d. Store the output into degree_feat.
Hint: To raise data to a given power you can use the ** syntax (ref) or you can use NumPy's
power() function (docs).
Append the degree_name to the column_names list using its append() method.
Append the degree_feat to the features list using its append() method.
Concatenate our old and new polynomial features into a new DataFrame using Panda's concat()
function (docs).
Hint: Be sure to specify the correct axis for the axis argument! We want to concatenate our
features so that they are side-by-side. Meaning, they are stacked column-wise!
class AddPolynomialFeatures(BaseEstimator, TransformerMixin):
def __init__(self, degree):
self.feature_names = None
self.degree = degree
def fit(self, X: pd.DataFrame) -> None:
return self
def transform(self, X: pd.DataFrame) -> pd.DataFrame:
# Return if the degree is only 1 as no transform
# needs to be computed.
if self.degree <= 1:
return X
column_names = []
features = []
for idx, column_name in enumerate(X.columns):
for d in range(1, self.degree+1):
# TODO 6.1
degree_feat =
# Determines the column name for our
# new DataFrame which contains the Polynomial
# and original features.
if d > 1:
degree_name = column_name+f"^{d}"
else:
degree_name = column_name
# TODO 6.2
# TODO 6.3
# TODO 6.4
poly_X =
# Set column names for our new polynomial DataFrame
poly_X.columns = column_names
# Set the new feature names
self.feature_names = poly_X.columns
return poly_X
def get_feature_names_out(self, name=None) -> pd.Series:
return self.feature_names
TODO 7
Complete the TODO by finishing the feature_pipeline() function.
Take note that this function is a little different from our target_pipeline() function. Notice, we
have to use the Sklearn Pipeline class in conjunction with our DataFrameColumnTransformer
class. This is because we want the AddBias and Standardization classes to apply to our entire
data while we want the AddPolynomialFeatures and OneHotEncoding classes to only apply to
certain columns/features.
Recall, we use our DataFrameColumnTransformer class to apply certain data cleaning and
transformations to certain columns. We use Sklearn's Pipeline class to apply certain data
cleaning and transformatio.
I just need answers for all TODO- I do not need any explanation or any (1).pdf
I just need answers for all TODO. I do not need any explanation or any other details. Just
only answer for all TODO.
TODO 6
To complete the TODO finish the below AddPolynomialFeatures class. The below class works
by computing the polynomial feature transform from the passed data and creating/returning a
new DataFrame containing both old and new polynomial features. The class takes in an
argument called degree which determines the degree of the polynomial that will be computed.
Compute the polynomial for the current feature column_name based on the current degree d. To
do so, you need to index data X at the current column using the name of the column stored in
column_name. Once you index the current feature's/column's data, you need to raise data to the
current power determined by d. Store the output into degree_feat.
Hint: To raise data to a given power you can use the ** syntax (ref) or you can use NumPy's
power() function (docs).
Append the degree_name to the column_names list using its append() method.
Append the degree_feat to the features list using its append() method.
Concatenate our old and new polynomial features into a new DataFrame using Panda's concat()
function (docs).
Hint: Be sure to specify the correct axis for the axis argument! We want to concatenate our
features so that they are side-by-side. Meaning, they are stacked column-wise!
class AddPolynomialFeatures(BaseEstimator, TransformerMixin):
def __init__(self, degree):
self.feature_names = None
self.degree = degree
def fit(self, X: pd.DataFrame) -> None:
return self
def transform(self, X: pd.DataFrame) -> pd.DataFrame:
# Return if the degree is only 1 as no transform
# needs to be computed.
if self.degree <= 1:
return X
column_names = []
features = []
for idx, column_name in enumerate(X.columns):
for d in range(1, self.degree+1):
# TODO 6.1
degree_feat =
# Determines the column name for our
# new DataFrame which contains the Polynomial
# and original features.
if d > 1:
degree_name = column_name+f"^{d}"
else:
degree_name = column_name
# TODO 6.2
# TODO 6.3
# TODO 6.4
poly_X =
# Set column names for our new polynomial DataFrame
poly_X.columns = column_names
# Set the new feature names
self.feature_names = poly_X.columns
return poly_X
def get_feature_names_out(self, name=None) -> pd.Series:
return self.feature_names
TODO 7
Complete the TODO by finishing the feature_pipeline() function.
Take note that this function is a little different from our target_pipeline() function. Notice, we
have to use the Sklearn Pipeline class in conjunction with our DataFrameColumnTransformer
class. This is because we want the AddBias and Standardization classes to apply to our entire
data while we want the AddPolynomialFeatures and OneHotEncoding classes to only apply to
certain columns/features.
Recall, we use our DataFrameColumnTransformer class to apply certain data cleaning and
transformations to certain columns. We use Sklearn's Pipeline class to apply certain data
cleaning and transformatio.
Chapter 16-spreadsheet1 questions and answer
This document discusses spreadsheets and Excel. It defines key spreadsheet concepts like workbooks, cells, cell addresses, and formulas. It describes built-in Excel functions for date/time, arithmetic, statistical, logical, and financial calculations. The document also covers charts, macros, and databases in Excel. Spreadsheets allow users to enter, manipulate, and analyze numerical data using formulas and functions in a tabular format.
Pi data link-2017-sp1-user-guide-es-05
This document provides documentation on PI data analysis functions, including:
- PISampFilDat() returns evenly-spaced, interpolated and filtered values for a PI point or attribute over a time period.
- PIExpDat() returns evenly-spaced, computed values of a performance equation over a time period.
- PITimeDat() returns actual or interpolated sample values of a PI point or attribute at specified time stamps.
The document describes the syntax, arguments, examples, and related functions for each of these sampled data retrieval functions. It also covers similar functions for calculating values and filtering based on performance equations over time periods.
Developer Guide
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DIWE - Advanced PHP Concepts
Esoft Metro Campus - Diploma in Web Engineering - (Module VII) Advanced PHP Concepts
(Template - Virtusa Corporate)
Contents:
Arrays
Indexed Arrays
Associative Arrays
Multidimensional arrays
Array Functions
PHP Objects and Classes
Creating an Object
Properties of Objects
Object Methods
Constructors
Inheritance
Method overriding
PHP Strings
printf() Function
String Functions
PHP Date/Time Functions
time() Function
getdate() Function
date() Function
mktime() function
checkdate() function
PHP Form Handling
Collecting form data with PHP
GET vs POST
Data validation against malicious code
Required fields validation
Validating an E-mail address
PHP mail() Function
Using header() function to redirect user
File Upload
Processing the uploaded file
Check if File Already Exists
Limit File Size
Limit File Type
Check if image file is an actual image
Uploading File
Cookies
Sessions
Computer programming 2 Lesson 14
The document discusses various methods for working with dates and times in Java. It describes the Date class and how to initialize Date objects, compare dates, format and parse dates, sleep for a duration, and measure elapsed time in milliseconds. Methods like Date(), getTime(), compareTo(), SimpleDateFormat, Thread.sleep(), and System.currentTimeMillis() are presented.
Time Machines and Attribute Alchemy
Restructuring and transforming attributes is often an important part of data preparation. Here are tips for managing and validating attributes, plus examples of new functionality that makes it easier than ever to work with date and time.
Booa8 Slide 09
Methods in PowerBuilder include events and functions. Events are executed from the bottom-up while functions are searched for from the bottom-up based on signature. Descendent methods can override or extend ancestor methods. Functions can be overloaded with different argument lists to perform different tasks. Events and functions can be invoked synchronously with Trigger or asynchronously with Post.
Excel formula
This document categorizes Excel functions by their functionality. It lists the main categories of functions as Add-in and Automation functions, Cube functions, Database functions, Date and time functions, Engineering functions, Financial functions, Information functions, Logical functions, Lookup and reference functions, Math and trigonometry functions, Statistical functions, and Text functions. For each category, it provides a brief description of some representative functions in that category.
Dates and Times in Java 7 and Java 8
The document discusses dates and times in Java. It covers the older Date and Calendar classes, which had limitations, as well as the newer java.time package introduced in Java 8, which provides a clearer and more extensive set of date and time classes and methods. The main classes in java.time include LocalDate for dates without times, LocalTime for times without dates, and LocalDateTime for combining dates and times.
What's New in MariaDB Server 10.2 and MariaDB MaxScale 2.1
MariaDB Server 10.2 includes several new features for analytics, JSON, replication, database compatibility, storage engines, security, administration, performance, and optimizations. Some key additions include window functions and common table expressions for more efficient queries, JSON and GeoJSON functions, delayed and compressed replication, multi-trigger support, CHECK constraints, indexes on virtual columns, the MyRocks storage engine, per-user load limitations, and TLS connections. MaxScale 2.1 provides up to 2.8x performance gains along with new security features like encrypted binlogs and LDAP authentication as well as support for Aurora clusters and dynamic configurations.
What's New in MariaDB Server 10.2 and MariaDB MaxScale 2.1
The document provides an overview of new features and enhancements in MariaDB Server 10.2 and MaxScale 2.1. For MariaDB Server 10.2, key additions include window functions, common table expressions, JSON and GeoJSON functions, new replication features like delayed replication, storage engine enhancements including a new MyRocks storage engine, and performance optimizations. MaxScale 2.1 focuses on performance improvements up to 2.8x faster, enhanced security features like encrypted binlogs and SSL, and support for Aurora clusters and dynamic configuration.
C# p8
This document discusses methods in object-oriented programming with C#. It defines methods as groups of statements that perform tasks and notes that every C# program has a Main method. It describes built-in methods provided by languages like Math methods and user-defined methods. It explains the syntax for defining methods, including access specifiers, return types, parameters, and bodies. It also covers passing arguments by value vs reference, and method overloading by having multiple methods with the same name but different parameters.
Data annotation validation (ASP.net)
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I just need answers for all TODO- I do not need any explanation or any.pdf
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Date & time functions in VB.NET
- 1. DATE & TIME FUNCTIONS ASHISH S. RAHURKAR
- 2. Microsoft.VisualBasic.DateAndTime Namespace DateAdd DateDiff DatePart DateString DateValue Now Second TimeOfDay TimeString TimeValue Today WeekDay WeekDayName
- 3. CONTROLS USED Button Label DateTimePicker
- 4. CONTROL PROPERTIES BUTTON LABEL Name Text Name Text Font
- 5. CONTROL PROPERTIES (CONTINUED) DateTimePicker Name Value
- 6. DateAdd Returns date value to which a time interval has been added. Arguments:- Interval – DateInterval enumeration val (str) Number – (+,-) Double value DateValue - date
- 7. DateDiff Returns Long value representing the time interval between two dates Arguments:- Interval Date1,Date2 DayOfWeek – Optional, FirstDayOfWeek enumeration, default Sunday WeekOfYear – Optional, FirstWeekOfYear enumeration, default Jan1
- 8. DatePart Returns an integer value representing the requested part of a date. Arguments:- Interval DateValue DayOfWeek WeekOfYear
- 9. DateString It’s a property Returns or sets a string value representing the current date on your system
- 10. DateValue Returns a Date data type value containing the date represented by a string. Arguments:- DateString – (eg – January 15, 1994)
- 11. Now It’s a property. Returns a date value containing the current date & time of your system
- 12. Second Returns an integer value representing second of the minute of the date passed Argument:- TimeValue
- 13. TimeOfDay It’s a property Returns time value containing the current date & time of your system Where date value is set to all 1’s
- 14. TimeString It’s a property Returns or sets a string value representing the current time of day according to your system
- 15. TimeValue Returns a date value representing the time of a string passed Here date value is set to all 1’s Arguments:- TimeString – range from 1/1/1 00:00:00 to 12/31/9999 23:59:59
- 16. Today It’s a property Returns or sets a date value containing the current date according to your system
- 17. WeekDay Returns an integer value containing a number representing the day of the week Arguments:- DateValue DayOfWeek
- 18. WeekDayName Returns a string value containing the name of the specified weekday Arguments:- WeekDay – 1 to 7 Abbreviate – Optional boolean value FirstDayOfWeekValue – FirstDayOfWeek.System is default
Editor's Notes
- DateInterval – day,year,month etc.
- DayOfWeek – system, Sunday, Monday, Tuesday…WeekOfYear – system, jan1, firstfourdays