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Articles on Trending Technologies
Technical articles with clear explanations and examples
Credit Card UI Design in HTML & CSS
To design a Credit Card UI in HTML & CSS, we create a responsive form that mimics the appearance and layout of a real credit card. This involves structuring HTML elements for card details and styling them with CSS to create an attractive, user-friendly interface. Steps to Create Credit Card UI Design To design a credit card UI in HTML and CSS, we will create the following structure ? HTML structure with form elements for card details CSS styling for visual design and responsive layout ...
Read MoreFind keys with duplicate values in dictionary in Python
While dealing with dictionaries, we may come across situations when there are duplicate values in the dictionary while the keys remain unique. In this article we will see how to find keys that share the same values using different approaches. Method 1: Using Key-Value Exchange We exchange the keys with values of the dictionaries and then keep appending the keys associated with a given value. This way the duplicate values get grouped together ? Example dictA = {'Sun': 5, 'Mon': 3, 'Tue': 5, 'Wed': 3} print("Given Dictionary:", dictA) k_v_exchanged = {} for ...
Read MoreFind k longest words in given list in Python
When working with lists of words, you often need to find the k longest words. Python provides several approaches to accomplish this task efficiently using built-in functions like sorted(), enumerate(), and heapq. Using sorted() with Length as Key The simplest approach is to sort words by length in descending order and slice the first k elements ? def k_longest_words(words, k): return sorted(words, key=len, reverse=True)[:k] words = ['Earth', 'Moonshine', 'Aurora', 'Snowflakes', 'Sunshine'] k = 3 result = k_longest_words(words, k) print(f"Top {k} longest words: {result}") Top 3 longest words: ['Snowflakes', ...
Read MoreHow to Make the CSS margin-top Style Work?
Sometimes, the margin-top in CSS doesn't work as expected. You might not see the space you want above an element, or it might not behave correctly. This can happen because of things like collapsing margins, the element's type, or how it's positioned. Our task is to show you how to make the margin-top style work using different approaches, so you can control spacing in your designs. Syntax selector { margin-top: value; } Approaches to Managing Margin-Top We'll look at different ways to manage the margin-top property and control space ...
Read MoreFind indices with None values in given list in Python
Many times when dealing with data analysis we may come across None values present in a list. These values cannot be used directly in mathematical operations and string operations. So we need to find their position and either convert them or use them effectively. Using range() with List Comprehension Combining the range() and len() functions we can compare the value of each element with None and capture their index positions using list comprehension ? Example days = ['Sun', 'Mon', None, 'Wed', None, None] # Given list print("Given list :", days) # Using range ...
Read MoreFind groups of strictly increasing numbers in a list in Python
Finding groups of strictly increasing numbers means identifying sequences where each number is exactly 1 greater than the previous number. This is useful for pattern recognition and data analysis tasks in Python. Using Direct Comparison This approach compares each element with the previous one to check if they form a consecutive sequence ? numbers = [11, 12, 6, 7, 8, 12, 13, 14] groups = [[numbers[0]]] for i in range(1, len(numbers)): if numbers[i - 1] + 1 == numbers[i]: groups[-1].append(numbers[i]) ...
Read MoreHow to Remove the CSS :hover Behavior from an Element?
Removing the :hover effect means stopping an element from changing its appearance when a user hovers over it. You might need to do this if the hover effect is unnecessary, distracting, or doesn't fit with the design of your page. Methods to Remove CSS :hover Behavior There are several effective ways to disable the :hover effect from elements while maintaining clean, consistent styling. Method 1: Using pointer-events: none The pointer-events: none property disables all mouse interactions, including hover effects. This completely prevents the element from responding to pointer events − ...
Read MoreFind fibonacci series upto n using lambda in Python
A Fibonacci series is a widely known mathematical sequence that explains many natural phenomena. It starts with 0 and 1, then each subsequent term is the sum of the two preceding terms. In this article, we will see how to generate a given number of Fibonacci terms using lambda functions in Python. Method 1: Using map() with Lambda We use the map() function to apply a lambda function that adds the sum of the last two terms to our list. The any() function is used to execute the map operation ? Example def fibonacci(count): ...
Read MoreImplementing CSS Shapes for Creative Text Wrapping
CSS Shapes allow text to flow around custom shapes, breaking free from traditional rectangular boundaries. This powerful feature enables designers to create magazine-style layouts and visually appealing designs with dynamic text wrapping around circles, polygons, and irregular images. Syntax selector { shape-outside: circle() | ellipse() | polygon() | url(); float: left | right; clip-path: circle() | ellipse() | polygon(); shape-margin: value; } Core CSS Properties shape-outside Property The shape-outside property defines the area around which text should ...
Read MoreFind elements within range in numpy in Python
Sometimes while processing data using the numpy library, we may need to filter out certain numbers in a specific range. This can be achieved by using some in-built methods available in numpy. Using logical_and() with where() In this approach we take a numpy array then apply the logical_and() function to it. The where() clause in numpy is also used to apply the and condition. The result is an array showing the position of the elements satisfying the required range conditions ? import numpy as np A = np.array([5, 9, 11, 4, 31, 27, 8]) ...
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