Karim  Abdel

Karim Abdel

1623832107

10 Tips to Take Control of your Outlook Inbox & avoid email overload!

In this step-by-step tutorial, learn 10 strategies that I used while I worked as a Program Manager at Microsoft to stay on top of my inbox. I frequently received over 250 - 300 emails every single day. Over the years at Microsoft, I picked up several techniques that helped me control and manage my inbox. This allowed me to focus on just the email that mattered.

We start with a simple strategy of getting a text message (SMS / MMS) when a very important email lands in your inbox. Never again miss an urgent message that needs your attention.

Next, I show you how to conditionally format your messages, so messages visually stand out that matter to you.

Third, we look at the To or CC rule. If you’re not on the To or CC line, the message likely isn’t very important. With this rule, only messages where you’re on the to or cc line stay in your inbox.

Fourth, we group messages by conversation, so threads consume less space in your inbox.

Fifth, we look at how to flag messages for follow-up. As a bonus, follow-up messages show up in To Do, where you can add tasks to your My Day view. This helps you focus on tasks that matter.

Along with setting your own follow-up flags, we also look at how to set up flags on outgoing messages, so you don’t forget when you request things of others. This serves as a good tracking system to ensure you’re getting responses to your requests.

Next, we look at how to set up meetings directly from an email thread. This maintains the context, like who was included in the message and the body of the message. This makes it even easier and faster to set up meetings.

We then switch our attention to reducing disruptions by turning off sounds, notifications, and replying to messages in a new window. Lastly, we look at how to use the ignore button to mute threads that don’t need your attention.

⌚ Timestamps
0:00 Introduction
0:33 Text message (SMS / MMS) rule
2:58 Conditional formatting
5:02 To or CC rule
7:44 Conversation rule
8:28 Flag messages for follow up
10:37 Keep track of requests of others
12:01 Respond with meeting
12:44 Remove distractions
13:32 Separate compose window
14:39 Ignore messages
15:17 Wrap up

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10 Tips to Take Control of your Outlook Inbox & avoid email overload!

Ayan Code

1656193861

Simple Login Page in HTML and CSS | Source Code

Hello guys, Today in this post we’ll learn How to Create a Simple Login Page with a fantastic design. To create it we are going to use pure CSS and HTML. Hope you enjoy this post.

A login page is one of the most important component of a website or app that allows authorized users to access an entire site or a part of a website. You would have already seen them when visiting a website. Let's head to create it.

Whether it’s a signup or login page, it should be catchy, user-friendly and easy to use. These types of Forms lead to increased sales, lead generation, and customer growth.


Demo

Click to watch demo!

Simple Login Page HTML CSS (source code)

<!DOCTYPE html>
  <html lang="en" >
  <head>
    <meta charset="UTF-8">
    <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/normalize/5.0.0/normalize.min.css">
  <link rel="stylesheet" href="styledfer.css">
  </head>

  <body>
   <div id="login-form-wrap">
    <h2>Login</h2>
    <form id="login-form">
      <p>
      <input type="email" id="email" name="email" placeholder="Email " required><i class="validation"><span></span><span></span></i>
      </p>
      <p>
      <input type="password" id="password" name="password" placeholder="Password" required><i class="validation"><span></span><span></span></i>
      </p>
      <p>
      <input type="submit" id="login" value="Login">
      </p>

      </form>
    <div id="create-account-wrap">
      <p>Don't have an accout? <a href="#">Create One</a><p>
    </div>
   </div>
    
  <script src='https://code.jquery.com/jquery-2.2.4.min.js'></script>
  <script src='https://cdnjs.cloudflare.com/ajax/libs/jquery-validate/1.15.0/jquery.validate.min.js'></script>
  </body>
</html>

CSS CODE

body {
  background-color: #020202;
  font-size: 1.6rem;
  font-family: "Open Sans", sans-serif;
  color: #2b3e51;
}
h2 {
  font-weight: 300;
  text-align: center;
}
p {
  position: relative;
}
a,
a:link,
a:visited,
a:active {
  color: #ff9100;
  -webkit-transition: all 0.2s ease;
  transition: all 0.2s ease;
}
a:focus, a:hover,
a:link:focus,
a:link:hover,
a:visited:focus,
a:visited:hover,
a:active:focus,
a:active:hover {
  color: #ff9f22;
  -webkit-transition: all 0.2s ease;
  transition: all 0.2s ease;
}
#login-form-wrap {
  background-color: #fff;
  width: 16em;
  margin: 30px auto;
  text-align: center;
  padding: 20px 0 0 0;
  border-radius: 4px;
  box-shadow: 0px 30px 50px 0px rgba(0, 0, 0, 0.2);
}
#login-form {
  padding: 0 60px;
}
input {
  display: block;
  box-sizing: border-box;
  width: 100%;
  outline: none;
  height: 60px;
  line-height: 60px;
  border-radius: 4px;
}
#email,
#password {
  width: 100%;
  padding: 0 0 0 10px;
  margin: 0;
  color: #8a8b8e;
  border: 1px solid #c2c0ca;
  font-style: normal;
  font-size: 16px;
  -webkit-appearance: none;
     -moz-appearance: none;
          appearance: none;
  position: relative;
  display: inline-block;
  background: none;
}
#email:focus,
#password:focus {
  border-color: #3ca9e2;
}
#email:focus:invalid,
#password:focus:invalid {
  color: #cc1e2b;
  border-color: #cc1e2b;
}
#email:valid ~ .validation,
#password:valid ~ .validation 
{
  display: block;
  border-color: #0C0;
}
#email:valid ~ .validation span,
#password:valid ~ .validation span{
  background: #0C0;
  position: absolute;
  border-radius: 6px;
}
#email:valid ~ .validation span:first-child,
#password:valid ~ .validation span:first-child{
  top: 30px;
  left: 14px;
  width: 20px;
  height: 3px;
  -webkit-transform: rotate(-45deg);
          transform: rotate(-45deg);
}
#email:valid ~ .validation span:last-child
#password:valid ~ .validation span:last-child
{
  top: 35px;
  left: 8px;
  width: 11px;
  height: 3px;
  -webkit-transform: rotate(45deg);
          transform: rotate(45deg);
}
.validation {
  display: none;
  position: absolute;
  content: " ";
  height: 60px;
  width: 30px;
  right: 15px;
  top: 0px;
}
input[type="submit"] {
  border: none;
  display: block;
  background-color: #ff9100;
  color: #fff;
  font-weight: bold;
  text-transform: uppercase;
  cursor: pointer;
  -webkit-transition: all 0.2s ease;
  transition: all 0.2s ease;
  font-size: 18px;
  position: relative;
  display: inline-block;
  cursor: pointer;
  text-align: center;
}
input[type="submit"]:hover {
  background-color: #ff9b17;
  -webkit-transition: all 0.2s ease;
  transition: all 0.2s ease;
}

#create-account-wrap {
  background-color: #eeedf1;
  color: #8a8b8e;
  font-size: 14px;
  width: 100%;
  padding: 10px 0;
  border-radius: 0 0 4px 4px;
}

Congratulations! You have now successfully created our Simple Login Page in HTML and CSS.

My Website: codewithayan, see this to checkout all of my amazing Tutorials.

Búsqueda lineal en Python

En esta publicación de Python, aprenderá lo siguiente:

  • ¿Qué es una búsqueda lineal?
  • Algoritmo de búsqueda lineal
  • Escriba un programa Python para búsqueda lineal usando While Loop
  • Escriba un programa Python para búsqueda lineal usando For Loop
  • Búsqueda lineal en el programa Python usando recursividad

¿Qué es una búsqueda lineal?

En primer lugar, una búsqueda lineal, también conocida como búsqueda secuencial, este método se utiliza para encontrar un elemento dentro de una lista o matriz. Comprueba cada elemento de la lista uno por uno / secuencialmente hasta que se encuentra una coincidencia o se ha buscado en toda la lista.

Algoritmo de búsqueda lineal

Implemente la búsqueda lineal siguiendo los pasos a continuación:

  • Recorre la lista / matriz usando un bucle.
  • En cada iteración, asocie el  target valor con el valor dado de la lista / matriz.
    • Si los valores coinciden, devuelve el índice actual de la lista / matriz.
    • De lo contrario, continúe con el siguiente elemento de matriz / lista.
  • Si no se encuentra ninguna coincidencia, regrese  -1.

Escriba un programa Python para búsqueda lineal usando While Loop

# python program for linear search using while loop

#define list
lst = []

#take input list size
num = int(input("Enter size of list :- "))

for n in range(num):
    #append element in list/array
    numbers = int(input("Enter the array of %d element :- " %n))
    lst.append(numbers)

#take input number to be find in list   
x = int(input("Enter number to search in list :- "))

i = 0
flag = False

while i < len(lst):
	if lst[i] == x:
		flag = True
		break

	i = i + 1

if flag == 1:
	print('{} was found at index {}.'.format(x, i))
else:
	print('{} was not found.'.format(x))

Después de ejecutar el programa, la salida será:

Enter size of list :-  5
Enter the array of 0 element :-  10
Enter the array of 1 element :-  23
Enter the array of 2 element :-  56
Enter the array of 3 element :-  89
Enter the array of 4 element :-  200
Enter number to search in list :-  89
89 was found at index 3.

Escriba un programa Python para búsqueda lineal usando For Loop

# python program for linear search using for loop

#define list
lst = []

#take input list size
num = int(input("Enter size of list :- "))

for n in range(num):
    #append element in list/array
    numbers = int(input("Enter the array of %d element :- " %n))
    lst.append(numbers)

#take input number to be find in list   
x = int(input("Enter number to search in list :- "))

i = 0
flag = False

for i in range(len(lst)):
    if lst[i] == x:
        flag = True
        break

if flag == 1:
	print('{} was found at index {}.'.format(x, i))
else:
	print('{} was not found.'.format(x))

Después de ejecutar el programa, la salida será:

Enter size of list :-  6
Enter the array of 0 element :-  25
Enter the array of 1 element :-  50
Enter the array of 2 element :-  100
Enter the array of 3 element :-  200
Enter the array of 4 element :-  250
Enter the array of 5 element :-  650
Enter number to search in list :-  200
200 was found at index 3.

Búsqueda lineal en el programa Python usando recursividad

# python program for linear search using for loop

#define list
lst = []

#take input list size
num = int(input("Enter size of list :- "))

for n in range(num):
    #append element in list/array
    numbers = int(input("Enter the array of %d element :- " %n))
    lst.append(numbers)

#take input number to be find in list   
x = int(input("Enter number to search in list :- "))

# Recursive function to linear search x in arr[l..r]  
def recLinearSearch( arr, l, r, x): 
    if r < l: 
        return -1
    if arr[l] == x: 
        return l 
    if arr[r] == x: 
        return r 
    return recLinearSearch(arr, l+1, r-1, x) 

res = recLinearSearch(lst, 0, len(lst)-1, x) 

if res != -1:
	print('{} was found at index {}.'.format(x, res))
else:
	print('{} was not found.'.format(x))

Después de ejecutar el programa, la salida será:

Enter size of list :-  5
Enter the array of 0 element :-  14
Enter the array of 1 element :-  25
Enter the array of 2 element :-  63
Enter the array of 3 element :-  42
Enter the array of 4 element :-  78
Enter number to search in list :-  78
78 was found at index 4.

 

Линейный поиск в Python

В этом посте на Python вы узнаете следующее:

  • Что такое линейный поиск?
  • Алгоритм линейного поиска
  • Напишите программу на Python для линейного поиска с использованием цикла while
  • Напишите программу на Python для линейного поиска с использованием цикла For
  • Линейный поиск в программе Python с использованием рекурсии

Что такое линейный поиск?

Прежде всего, линейный поиск, также известный как последовательный поиск, этот метод используется для поиска элемента в списке или массиве. Он проверяет каждый элемент списка один за другим / последовательно, пока не будет найдено совпадение или пока не будет выполнен поиск по всему списку.

Алгоритм линейного поиска

Реализуйте линейный поиск, выполнив следующие шаги:

  • Просмотрите список / массив, используя цикл.
  • На каждой итерации связывайте  target значение с заданным значением списка / массива.
    • Если значения совпадают, вернуть текущий индекс списка / массива.
    • В противном случае перейдите к следующему элементу массива / списка.
  • Если совпадений не найдено, вернитесь  -1.

Напишите программу на Python для линейного поиска с использованием цикла while

# python program for linear search using while loop

#define list
lst = []

#take input list size
num = int(input("Enter size of list :- "))

for n in range(num):
    #append element in list/array
    numbers = int(input("Enter the array of %d element :- " %n))
    lst.append(numbers)

#take input number to be find in list   
x = int(input("Enter number to search in list :- "))

i = 0
flag = False

while i < len(lst):
	if lst[i] == x:
		flag = True
		break

	i = i + 1

if flag == 1:
	print('{} was found at index {}.'.format(x, i))
else:
	print('{} was not found.'.format(x))

После выполнения программы вывод будет:

Enter size of list :-  5
Enter the array of 0 element :-  10
Enter the array of 1 element :-  23
Enter the array of 2 element :-  56
Enter the array of 3 element :-  89
Enter the array of 4 element :-  200
Enter number to search in list :-  89
89 was found at index 3.

Напишите программу на Python для линейного поиска с использованием цикла For

# python program for linear search using for loop

#define list
lst = []

#take input list size
num = int(input("Enter size of list :- "))

for n in range(num):
    #append element in list/array
    numbers = int(input("Enter the array of %d element :- " %n))
    lst.append(numbers)

#take input number to be find in list   
x = int(input("Enter number to search in list :- "))

i = 0
flag = False

for i in range(len(lst)):
    if lst[i] == x:
        flag = True
        break

if flag == 1:
	print('{} was found at index {}.'.format(x, i))
else:
	print('{} was not found.'.format(x))

После выполнения программы вывод будет:

Enter size of list :-  6
Enter the array of 0 element :-  25
Enter the array of 1 element :-  50
Enter the array of 2 element :-  100
Enter the array of 3 element :-  200
Enter the array of 4 element :-  250
Enter the array of 5 element :-  650
Enter number to search in list :-  200
200 was found at index 3.

Линейный поиск в программе Python с использованием рекурсии

# python program for linear search using for loop

#define list
lst = []

#take input list size
num = int(input("Enter size of list :- "))

for n in range(num):
    #append element in list/array
    numbers = int(input("Enter the array of %d element :- " %n))
    lst.append(numbers)

#take input number to be find in list   
x = int(input("Enter number to search in list :- "))

# Recursive function to linear search x in arr[l..r]  
def recLinearSearch( arr, l, r, x): 
    if r < l: 
        return -1
    if arr[l] == x: 
        return l 
    if arr[r] == x: 
        return r 
    return recLinearSearch(arr, l+1, r-1, x) 

res = recLinearSearch(lst, 0, len(lst)-1, x) 

if res != -1:
	print('{} was found at index {}.'.format(x, res))
else:
	print('{} was not found.'.format(x))

После выполнения программы вывод будет:

Enter size of list :-  5
Enter the array of 0 element :-  14
Enter the array of 1 element :-  25
Enter the array of 2 element :-  63
Enter the array of 3 element :-  42
Enter the array of 4 element :-  78
Enter number to search in list :-  78
78 was found at index 4.

Lineare Suche in Python

In diesem Python-Beitrag erfahren Sie Folgendes:

  • Was ist eine lineare Suche?
  • Linearer Suchalgorithmus
  • Schreiben Sie ein Python-Programm für die lineare Suche mit While-Schleife
  • Schreiben Sie ein Python-Programm für die lineare Suche mit der For-Schleife
  • Lineare Suche im Python-Programm mit Rekursion

Was ist eine lineare Suche?

Eine lineare Suche, auch bekannt als sequentielle Suche, diese Methode wird verwendet, um ein Element innerhalb einer Liste oder eines Arrays zu finden. Es überprüft jedes Element der Liste nacheinander / sequentiell, bis eine Übereinstimmung gefunden wird oder die gesamte Liste durchsucht wurde.

Linearer Suchalgorithmus

Implementieren Sie die lineare Suche mit den folgenden Schritten:

  • Durchlaufen Sie die Liste/das Array mit einer Schleife.
  • Verknüpfen Sie in jeder Iteration den  target Wert mit dem angegebenen Wert der Liste/des Arrays.
    • Wenn die Werte übereinstimmen, geben Sie den aktuellen Index der Liste/des Arrays zurück.
    • Fahren Sie andernfalls mit dem nächsten Array-/Listenelement fort.
  • Wenn keine Übereinstimmung gefunden wird, geben Sie zurück  -1.

Schreiben Sie ein Python-Programm für die lineare Suche mit While-Schleife

# python program for linear search using while loop

#define list
lst = []

#take input list size
num = int(input("Enter size of list :- "))

for n in range(num):
    #append element in list/array
    numbers = int(input("Enter the array of %d element :- " %n))
    lst.append(numbers)

#take input number to be find in list   
x = int(input("Enter number to search in list :- "))

i = 0
flag = False

while i < len(lst):
	if lst[i] == x:
		flag = True
		break

	i = i + 1

if flag == 1:
	print('{} was found at index {}.'.format(x, i))
else:
	print('{} was not found.'.format(x))

Nach der Ausführung des Programms lautet die Ausgabe:

Enter size of list :-  5
Enter the array of 0 element :-  10
Enter the array of 1 element :-  23
Enter the array of 2 element :-  56
Enter the array of 3 element :-  89
Enter the array of 4 element :-  200
Enter number to search in list :-  89
89 was found at index 3.

Schreiben Sie ein Python-Programm für die lineare Suche mit der For-Schleife

# python program for linear search using for loop

#define list
lst = []

#take input list size
num = int(input("Enter size of list :- "))

for n in range(num):
    #append element in list/array
    numbers = int(input("Enter the array of %d element :- " %n))
    lst.append(numbers)

#take input number to be find in list   
x = int(input("Enter number to search in list :- "))

i = 0
flag = False

for i in range(len(lst)):
    if lst[i] == x:
        flag = True
        break

if flag == 1:
	print('{} was found at index {}.'.format(x, i))
else:
	print('{} was not found.'.format(x))

Nach der Ausführung des Programms lautet die Ausgabe:

Enter size of list :-  6
Enter the array of 0 element :-  25
Enter the array of 1 element :-  50
Enter the array of 2 element :-  100
Enter the array of 3 element :-  200
Enter the array of 4 element :-  250
Enter the array of 5 element :-  650
Enter number to search in list :-  200
200 was found at index 3.

Lineare Suche im Python-Programm mit Rekursion

# python program for linear search using for loop

#define list
lst = []

#take input list size
num = int(input("Enter size of list :- "))

for n in range(num):
    #append element in list/array
    numbers = int(input("Enter the array of %d element :- " %n))
    lst.append(numbers)

#take input number to be find in list   
x = int(input("Enter number to search in list :- "))

# Recursive function to linear search x in arr[l..r]  
def recLinearSearch( arr, l, r, x): 
    if r < l: 
        return -1
    if arr[l] == x: 
        return l 
    if arr[r] == x: 
        return r 
    return recLinearSearch(arr, l+1, r-1, x) 

res = recLinearSearch(lst, 0, len(lst)-1, x) 

if res != -1:
	print('{} was found at index {}.'.format(x, res))
else:
	print('{} was not found.'.format(x))

Nach der Ausführung des Programms lautet die Ausgabe:

Enter size of list :-  5
Enter the array of 0 element :-  14
Enter the array of 1 element :-  25
Enter the array of 2 element :-  63
Enter the array of 3 element :-  42
Enter the array of 4 element :-  78
Enter number to search in list :-  78
78 was found at index 4.

Recherche linéaire en Python

Dans cet article Python, vous apprendrez ce qui suit :

  • Qu'est-ce qu'une recherche linéaire ?
  • Algorithme de recherche linéaire
  • Écrire un programme Python pour la recherche linéaire à l'aide de la boucle While
  • Écrire un programme Python pour la recherche linéaire à l'aide de la boucle For
  • Recherche linéaire dans le programme Python à l'aide de la récursion

Qu'est-ce qu'une recherche linéaire ?

Tout d'abord, une recherche linéaire, également appelée recherche séquentielle, cette méthode est utilisée pour rechercher un élément dans une liste ou un tableau. Il vérifie chaque élément de la liste un par un / séquentiellement jusqu'à ce qu'une correspondance soit trouvée ou que toute la liste ait été recherchée.

Algorithme de recherche linéaire

Implémentez la recherche linéaire en suivant les étapes ci-dessous :

  • Parcourez la liste/le tableau à l'aide d'une boucle.
  • À chaque itération, associez la  target valeur à la valeur donnée de la liste/du tableau.
    • Si les valeurs correspondent, renvoie l'index actuel de la liste/du tableau.
    • Sinon, passez à l'élément de tableau/liste suivant.
  • Si aucune correspondance n'est trouvée, retournez  -1.

Écrire un programme Python pour la recherche linéaire à l'aide de la boucle While

# python program for linear search using while loop

#define list
lst = []

#take input list size
num = int(input("Enter size of list :- "))

for n in range(num):
    #append element in list/array
    numbers = int(input("Enter the array of %d element :- " %n))
    lst.append(numbers)

#take input number to be find in list   
x = int(input("Enter number to search in list :- "))

i = 0
flag = False

while i < len(lst):
	if lst[i] == x:
		flag = True
		break

	i = i + 1

if flag == 1:
	print('{} was found at index {}.'.format(x, i))
else:
	print('{} was not found.'.format(x))

Après l'exécution du programme, la sortie sera :

Enter size of list :-  5
Enter the array of 0 element :-  10
Enter the array of 1 element :-  23
Enter the array of 2 element :-  56
Enter the array of 3 element :-  89
Enter the array of 4 element :-  200
Enter number to search in list :-  89
89 was found at index 3.

Écrire un programme Python pour la recherche linéaire à l'aide de la boucle For

# python program for linear search using for loop

#define list
lst = []

#take input list size
num = int(input("Enter size of list :- "))

for n in range(num):
    #append element in list/array
    numbers = int(input("Enter the array of %d element :- " %n))
    lst.append(numbers)

#take input number to be find in list   
x = int(input("Enter number to search in list :- "))

i = 0
flag = False

for i in range(len(lst)):
    if lst[i] == x:
        flag = True
        break

if flag == 1:
	print('{} was found at index {}.'.format(x, i))
else:
	print('{} was not found.'.format(x))

Après l'exécution du programme, la sortie sera :

Enter size of list :-  6
Enter the array of 0 element :-  25
Enter the array of 1 element :-  50
Enter the array of 2 element :-  100
Enter the array of 3 element :-  200
Enter the array of 4 element :-  250
Enter the array of 5 element :-  650
Enter number to search in list :-  200
200 was found at index 3.

Recherche linéaire dans le programme Python à l'aide de la récursion

# python program for linear search using for loop

#define list
lst = []

#take input list size
num = int(input("Enter size of list :- "))

for n in range(num):
    #append element in list/array
    numbers = int(input("Enter the array of %d element :- " %n))
    lst.append(numbers)

#take input number to be find in list   
x = int(input("Enter number to search in list :- "))

# Recursive function to linear search x in arr[l..r]  
def recLinearSearch( arr, l, r, x): 
    if r < l: 
        return -1
    if arr[l] == x: 
        return l 
    if arr[r] == x: 
        return r 
    return recLinearSearch(arr, l+1, r-1, x) 

res = recLinearSearch(lst, 0, len(lst)-1, x) 

if res != -1:
	print('{} was found at index {}.'.format(x, res))
else:
	print('{} was not found.'.format(x))

Après l'exécution du programme, la sortie sera :

Enter size of list :-  5
Enter the array of 0 element :-  14
Enter the array of 1 element :-  25
Enter the array of 2 element :-  63
Enter the array of 3 element :-  42
Enter the array of 4 element :-  78
Enter number to search in list :-  78
78 was found at index 4.