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This week, James is joined by Dmitry Lyalin and Tim Miller who show off the latest and greatest in XAML Hot Reload technology with the new “changes only” mode that saves the state of your running application! Check it out!
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1653465344
This PySpark SQL cheat sheet is your handy companion to Apache Spark DataFrames in Python and includes code samples.
You'll probably already know about Apache Spark, the fast, general and open-source engine for big data processing; It has built-in modules for streaming, SQL, machine learning and graph processing. Spark allows you to speed analytic applications up to 100 times faster compared to other technologies on the market today. Interfacing Spark with Python is easy with PySpark: this Spark Python API exposes the Spark programming model to Python.
Now, it's time to tackle the Spark SQL module, which is meant for structured data processing, and the DataFrame API, which is not only available in Python, but also in Scala, Java, and R.
Without further ado, here's the cheat sheet:
This PySpark SQL cheat sheet covers the basics of working with the Apache Spark DataFrames in Python: from initializing the SparkSession to creating DataFrames, inspecting the data, handling duplicate values, querying, adding, updating or removing columns, grouping, filtering or sorting data. You'll also see that this cheat sheet also on how to run SQL Queries programmatically, how to save your data to parquet and JSON files, and how to stop your SparkSession.
Spark SGlL is Apache Spark's module for working with structured data.
A SparkSession can be used create DataFrame, register DataFrame as tables, execute SGL over tables, cache tables, and read parquet files.
>>> from pyspark.sql import SparkSession
>>> spark a SparkSession \
.builder\
.appName("Python Spark SQL basic example") \
.config("spark.some.config.option", "some-value") \
.getOrCreate()
>>> from pyspark.sql.types import*
Infer Schema
>>> sc = spark.sparkContext
>>> lines = sc.textFile(''people.txt'')
>>> parts = lines.map(lambda l: l.split(","))
>>> people = parts.map(lambda p: Row(nameap[0],ageaint(p[l])))
>>> peopledf = spark.createDataFrame(people)
Specify Schema
>>> people = parts.map(lambda p: Row(name=p[0],
age=int(p[1].strip())))
>>> schemaString = "name age"
>>> fields = [StructField(field_name, StringType(), True) for field_name in schemaString.split()]
>>> schema = StructType(fields)
>>> spark.createDataFrame(people, schema).show()
From Spark Data Sources
JSON
>>> df = spark.read.json("customer.json")
>>> df.show()
>>> df2 = spark.read.load("people.json", format="json")
Parquet files
>>> df3 = spark.read.load("users.parquet")
TXT files
>>> df4 = spark.read.text("people.txt")
#Filter entries of age, only keep those records of which the values are >24
>>> df.filter(df["age"]>24).show()
>>> df = df.dropDuplicates()
>>> from pyspark.sql import functions as F
Select
>>> df.select("firstName").show() #Show all entries in firstName column
>>> df.select("firstName","lastName") \
.show()
>>> df.select("firstName", #Show all entries in firstName, age and type
"age",
explode("phoneNumber") \
.alias("contactInfo")) \
.select("contactInfo.type",
"firstName",
"age") \
.show()
>>> df.select(df["firstName"],df["age"]+ 1) #Show all entries in firstName and age, .show() add 1 to the entries of age
>>> df.select(df['age'] > 24).show() #Show all entries where age >24
When
>>> df.select("firstName", #Show firstName and 0 or 1 depending on age >30
F.when(df.age > 30, 1) \
.otherwise(0)) \
.show()
>>> df[df.firstName.isin("Jane","Boris")] #Show firstName if in the given options
.collect()
Like
>>> df.select("firstName", #Show firstName, and lastName is TRUE if lastName is like Smith
df.lastName.like("Smith")) \
.show()
Startswith - Endswith
>>> df.select("firstName", #Show firstName, and TRUE if lastName starts with Sm
df.lastName \
.startswith("Sm")) \
.show()
>>> df.select(df.lastName.endswith("th"))\ #Show last names ending in th
.show()
Substring
>>> df.select(df.firstName.substr(1, 3) \ #Return substrings of firstName
.alias("name")) \
.collect()
Between
>>> df.select(df.age.between(22, 24)) \ #Show age: values are TRUE if between 22 and 24
.show()
Adding Columns
>>> df = df.withColumn('city',df.address.city) \
.withColumn('postalCode',df.address.postalCode) \
.withColumn('state',df.address.state) \
.withColumn('streetAddress',df.address.streetAddress) \
.withColumn('telePhoneNumber', explode(df.phoneNumber.number)) \
.withColumn('telePhoneType', explode(df.phoneNumber.type))
Updating Columns
>>> df = df.withColumnRenamed('telePhoneNumber', 'phoneNumber')
Removing Columns
>>> df = df.drop("address", "phoneNumber")
>>> df = df.drop(df.address).drop(df.phoneNumber)
>>> df.na.fill(50).show() #Replace null values
>>> df.na.drop().show() #Return new df omitting rows with null values
>>> df.na \ #Return new df replacing one value with another
.replace(10, 20) \
.show()
>>> df.groupBy("age")\ #Group by age, count the members in the groups
.count() \
.show()
>>> peopledf.sort(peopledf.age.desc()).collect()
>>> df.sort("age", ascending=False).collect()
>>> df.orderBy(["age","city"],ascending=[0,1])\
.collect()
>>> df.repartition(10)\ #df with 10 partitions
.rdd \
.getNumPartitions()
>>> df.coalesce(1).rdd.getNumPartitions() #df with 1 partition
Registering DataFrames as Views
>>> peopledf.createGlobalTempView("people")
>>> df.createTempView("customer")
>>> df.createOrReplaceTempView("customer")
Query Views
>>> df5 = spark.sql("SELECT * FROM customer").show()
>>> peopledf2 = spark.sql("SELECT * FROM global_temp.people")\
.show()
>>> df.dtypes #Return df column names and data types
>>> df.show() #Display the content of df
>>> df.head() #Return first n rows
>>> df.first() #Return first row
>>> df.take(2) #Return the first n rows >>> df.schema Return the schema of df
>>> df.describe().show() #Compute summary statistics >>> df.columns Return the columns of df
>>> df.count() #Count the number of rows in df
>>> df.distinct().count() #Count the number of distinct rows in df
>>> df.printSchema() #Print the schema of df
>>> df.explain() #Print the (logical and physical) plans
Data Structures
>>> rdd1 = df.rdd #Convert df into an RDD
>>> df.toJSON().first() #Convert df into a RDD of string
>>> df.toPandas() #Return the contents of df as Pandas DataFrame
Write & Save to Files
>>> df.select("firstName", "city")\
.write \
.save("nameAndCity.parquet")
>>> df.select("firstName", "age") \
.write \
.save("namesAndAges.json",format="json")
>>> spark.stop()
Have this Cheat Sheet at your fingertips
Original article source at https://www.datacamp.com
#pyspark #cheatsheet #spark #dataframes #python #bigdata
1642496884
In this guide you’ll learn how to create a Responsive Dropdown Menu Bar with Search Field using only HTML & CSS.
To create a responsive dropdown menu bar with search field using only HTML & CSS . First, you need to create two Files one HTML File and another one is CSS File.
1: First, create an HTML file with the name of index.html
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<meta http-equiv="X-UA-Compatible" content="ie=edge">
<title>Dropdown Menu with Search Box | Codequs</title>
<link rel="stylesheet" href="style.css">
<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.15.3/css/all.min.css"/>
</head>
<body>
<div class="wrapper">
<nav>
<input type="checkbox" id="show-search">
<input type="checkbox" id="show-menu">
<label for="show-menu" class="menu-icon"><i class="fas fa-bars"></i></label>
<div class="content">
<div class="logo"><a href="#">CodingNepal</a></div>
<ul class="links">
<li><a href="#">Home</a></li>
<li><a href="#">About</a></li>
<li>
<a href="#" class="desktop-link">Features</a>
<input type="checkbox" id="show-features">
<label for="show-features">Features</label>
<ul>
<li><a href="#">Drop Menu 1</a></li>
<li><a href="#">Drop Menu 2</a></li>
<li><a href="#">Drop Menu 3</a></li>
<li><a href="#">Drop Menu 4</a></li>
</ul>
</li>
<li>
<a href="#" class="desktop-link">Services</a>
<input type="checkbox" id="show-services">
<label for="show-services">Services</label>
<ul>
<li><a href="#">Drop Menu 1</a></li>
<li><a href="#">Drop Menu 2</a></li>
<li><a href="#">Drop Menu 3</a></li>
<li>
<a href="#" class="desktop-link">More Items</a>
<input type="checkbox" id="show-items">
<label for="show-items">More Items</label>
<ul>
<li><a href="#">Sub Menu 1</a></li>
<li><a href="#">Sub Menu 2</a></li>
<li><a href="#">Sub Menu 3</a></li>
</ul>
</li>
</ul>
</li>
<li><a href="#">Feedback</a></li>
</ul>
</div>
<label for="show-search" class="search-icon"><i class="fas fa-search"></i></label>
<form action="#" class="search-box">
<input type="text" placeholder="Type Something to Search..." required>
<button type="submit" class="go-icon"><i class="fas fa-long-arrow-alt-right"></i></button>
</form>
</nav>
</div>
<div class="dummy-text">
<h2>Responsive Dropdown Menu Bar with Searchbox</h2>
<h2>using only HTML & CSS - Flexbox</h2>
</div>
</body>
</html>
2: Second, create a CSS file with the name of style.css
@import url('https://fonts.googleapis.com/css2?family=Poppins:wght@200;300;400;500;600;700&display=swap');
*{
margin: 0;
padding: 0;
box-sizing: border-box;
text-decoration: none;
font-family: 'Poppins', sans-serif;
}
.wrapper{
background: #171c24;
position: fixed;
width: 100%;
}
.wrapper nav{
position: relative;
display: flex;
max-width: calc(100% - 200px);
margin: 0 auto;
height: 70px;
align-items: center;
justify-content: space-between;
}
nav .content{
display: flex;
align-items: center;
}
nav .content .links{
margin-left: 80px;
display: flex;
}
.content .logo a{
color: #fff;
font-size: 30px;
font-weight: 600;
}
.content .links li{
list-style: none;
line-height: 70px;
}
.content .links li a,
.content .links li label{
color: #fff;
font-size: 18px;
font-weight: 500;
padding: 9px 17px;
border-radius: 5px;
transition: all 0.3s ease;
}
.content .links li label{
display: none;
}
.content .links li a:hover,
.content .links li label:hover{
background: #323c4e;
}
.wrapper .search-icon,
.wrapper .menu-icon{
color: #fff;
font-size: 18px;
cursor: pointer;
line-height: 70px;
width: 70px;
text-align: center;
}
.wrapper .menu-icon{
display: none;
}
.wrapper #show-search:checked ~ .search-icon i::before{
content: "\f00d";
}
.wrapper .search-box{
position: absolute;
height: 100%;
max-width: calc(100% - 50px);
width: 100%;
opacity: 0;
pointer-events: none;
transition: all 0.3s ease;
}
.wrapper #show-search:checked ~ .search-box{
opacity: 1;
pointer-events: auto;
}
.search-box input{
width: 100%;
height: 100%;
border: none;
outline: none;
font-size: 17px;
color: #fff;
background: #171c24;
padding: 0 100px 0 15px;
}
.search-box input::placeholder{
color: #f2f2f2;
}
.search-box .go-icon{
position: absolute;
right: 10px;
top: 50%;
transform: translateY(-50%);
line-height: 60px;
width: 70px;
background: #171c24;
border: none;
outline: none;
color: #fff;
font-size: 20px;
cursor: pointer;
}
.wrapper input[type="checkbox"]{
display: none;
}
/* Dropdown Menu code start */
.content .links ul{
position: absolute;
background: #171c24;
top: 80px;
z-index: -1;
opacity: 0;
visibility: hidden;
}
.content .links li:hover > ul{
top: 70px;
opacity: 1;
visibility: visible;
transition: all 0.3s ease;
}
.content .links ul li a{
display: block;
width: 100%;
line-height: 30px;
border-radius: 0px!important;
}
.content .links ul ul{
position: absolute;
top: 0;
right: calc(-100% + 8px);
}
.content .links ul li{
position: relative;
}
.content .links ul li:hover ul{
top: 0;
}
/* Responsive code start */
@media screen and (max-width: 1250px){
.wrapper nav{
max-width: 100%;
padding: 0 20px;
}
nav .content .links{
margin-left: 30px;
}
.content .links li a{
padding: 8px 13px;
}
.wrapper .search-box{
max-width: calc(100% - 100px);
}
.wrapper .search-box input{
padding: 0 100px 0 15px;
}
}
@media screen and (max-width: 900px){
.wrapper .menu-icon{
display: block;
}
.wrapper #show-menu:checked ~ .menu-icon i::before{
content: "\f00d";
}
nav .content .links{
display: block;
position: fixed;
background: #14181f;
height: 100%;
width: 100%;
top: 70px;
left: -100%;
margin-left: 0;
max-width: 350px;
overflow-y: auto;
padding-bottom: 100px;
transition: all 0.3s ease;
}
nav #show-menu:checked ~ .content .links{
left: 0%;
}
.content .links li{
margin: 15px 20px;
}
.content .links li a,
.content .links li label{
line-height: 40px;
font-size: 20px;
display: block;
padding: 8px 18px;
cursor: pointer;
}
.content .links li a.desktop-link{
display: none;
}
/* dropdown responsive code start */
.content .links ul,
.content .links ul ul{
position: static;
opacity: 1;
visibility: visible;
background: none;
max-height: 0px;
overflow: hidden;
}
.content .links #show-features:checked ~ ul,
.content .links #show-services:checked ~ ul,
.content .links #show-items:checked ~ ul{
max-height: 100vh;
}
.content .links ul li{
margin: 7px 20px;
}
.content .links ul li a{
font-size: 18px;
line-height: 30px;
border-radius: 5px!important;
}
}
@media screen and (max-width: 400px){
.wrapper nav{
padding: 0 10px;
}
.content .logo a{
font-size: 27px;
}
.wrapper .search-box{
max-width: calc(100% - 70px);
}
.wrapper .search-box .go-icon{
width: 30px;
right: 0;
}
.wrapper .search-box input{
padding-right: 30px;
}
}
.dummy-text{
position: absolute;
top: 50%;
left: 50%;
width: 100%;
z-index: -1;
padding: 0 20px;
text-align: center;
transform: translate(-50%, -50%);
}
.dummy-text h2{
font-size: 45px;
margin: 5px 0;
}
Now you’ve successfully created a Responsive Dropdown Menu Bar with Search Field using only HTML & CSS.
1609755091
In this Xamarin Online course, you will learn each and every topic with the help of hands-on labs. This program includes a hands-on live project with the implementation of recommended design patterns and practices. The learning path for this program is given below:
Xamarin Training objective
At the completion of this course, attendees will be able to;
#xamarin training #xamarin course #xamarin forms course #xamarin online course #xamarin forms training #xamarin training course
1626322326
#xamarin
#aspdotnetexplorer
https://www.youtube.com/watch?v=2tehSdX897E
#xamarin forms #xamarin forms bangla tutorials for beginners #xamarin forms tutorials for beginners #xamarin #xamarin.forms #xamarin.forms ui
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All major OSes now support dark and light app themes, and Xamarin.Forms 4.7 has arrived to make this easy to add to your applications. In fact, if you do nothing at all, your Xamarin.Forms apps will respect the user’s OS preference. Why stop there? You can also customize the light and dark colors used throughout your app UI, and even give the user a choice to control their own app theme. Let’s start at the beginning.
When you set no styles or colors, your UI will default to the theme native to the platform the app runs on. For example, look at how this new “Blank App” template looks on iOS:
<StackLayout>
<Frame BackgroundColor="#2196F3" Padding="36,48,36,36" CornerRadius="0">
<Label Text="Welcome to Xamarin.Forms!" HorizontalTextAlignment="Center" TextColor="White" FontSize="36" />
</Frame>
<Label Text="Start developing now" FontSize="Title" Padding="30,10,30,10" />
<Label Text="Make changes to your XAML file and save to see your UI update in the running app with XAML Hot Reload. Give it a try!" FontSize="16" Padding="30,0,30,0" />
<Label FontSize="16" Padding="30,24,30,0">
<Label.FormattedText>
<FormattedString>
<FormattedString.Spans>
<Span Text="Learn more at " />
<Span Text="https://aka.ms/xamarin-quickstart" FontAttributes="Bold" />
</FormattedString.Spans>
</FormattedString>
</Label.FormattedText>
</Label>
</StackLayout>
When you toggle the iOS simulator between dark and light modes (CMD+SHFT+A) you can see the ContentPage
background shift from white to black, and the text from black to white. Those are default platform colors. Contrast that with the header which remains blue and the header text that remains white. Those are explicit colors set in code.
To now control the colors for the dark and light of the head and text, you can replace the static colors with an AppThemeBinding
that will react at runtime to the OS theme settings. First enable this preview feature by adding the flag to your App.xaml.cs:
public App()
{
Device.SetFlags(new string[]{ "AppTheme_Experimental" });
InitializeComponent();
}
Updating just the header, this looks like:
<Frame BackgroundColor="{AppThemeBinding Dark=#2196F3, Light=#2196F3}" Padding="36,48,36,36" CornerRadius="0">
<Label Text="Welcome to Xamarin.Forms!" HorizontalTextAlignment="Center" TextColor="{AppThemeBinding Dark=DarkBlue, Light=White}" FontSize="36" />
</Frame>
You can of course refactor these to styles like this:
<ContentPage.Resources>
<Style x:Key="HeaderBg" TargetType="Frame">
<Setter Property="BackgroundColor" Value="{AppThemeBinding Dark=#1d1d1d, Light=#2196F3}"/>
<Setter Property="Padding" Value="36,48,36,36"/>
<Setter Property="CornerRadius" Value="0"/>
</Style>
<Style x:Key="HeaderTitle" TargetType="Label">
<Setter Property="TextColor" Value="{AppThemeBinding Dark=#F1F1F1, Light=White}"/>
<Setter Property="HorizontalTextAlignment" Value="Center"/>
<Setter Property="FontSize" Value="36"/>
</Style>
</ContentPage.Resources>
<Frame Style="{StaticResource HeaderBg}">
<Label
Style="{StaticResource HeaderTitle}"
Text="Welcome to Xamarin.Forms!" />
</Frame>
#xamarin #xamarin platform #xamarin.forms #xaml #app themes #mobile applications #xamarin developers