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Supercharging Excel with VBA: The first steps

Excel is an essential tool for managing budgets, analyzing data, and streamlining reports.
Most users are unaware of the power of VBA (Visual Basic for Applications) hidden in Excel.
Learning VBA can help automate workflows, clean data, and save time.
Access the VBA editor by pressing Alt + F11 to get started with writing VBA code.

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Dev

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🤯GitHub's Copilot Now Available for Free to Users

GitHub has launched a free version of Copilot, its AI-powered coding assistant.
The free tier includes real-time code suggestions and basic context awareness.
Premium features like Copilot Chat and security vulnerability detection are not available in the free tier.
GitHub aims to empower developers of all skill levels and make AI tools more accessible.

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Johndcook

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Interval arithmetic and fixed points

Interval arithmetic is a way to get exact results of a sort from floating point arithmetic.
Cosine iteration involves using interval arithmetic to illustrate the convergence of iterated cosines.
The cosine of any real number lies in the interval [-1, 1].
Numerical interval arithmetic involves computing intervals that contain the image of an interval under a function.

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Dev

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Day 21- String Functions

The program checks whether a given key is a title or not using the istitle() function.
The program replaces occurrences of a word with another word using the replace() function.
The concept of objects, memory space, and immutability of strings in Python is explained.
The difference between rfind() and rindex() methods in Python is discussed.

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Dev

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Let's Create Google Gemini 2.0 Using JavaScript | Gemini AI Chatbot Clone

Gemini is a generative artificial intelligence chatbot developed by Google.
This tutorial provides a step-by-step guide on how to recreate the innovative features of Google Gemini using HTML, CSS, and JavaScript.
It focuses on building a dynamic web application inspired by Google Gemini, covering core functionalities and design elements.
Whether you're a beginner or an experienced developer, this tutorial offers valuable insights into building advanced web applications.

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Dev

391

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🛠️ Writing Reliable Code from the Ground Up !

Test Driven Development (TDD) is a methodology that flips traditional software development on its head.
TDD introduces a radical yet powerful approach: write tests first, then write the code to pass those tests.
TDD follows a simple yet powerful cycle: Red, Green, Refactor.
TDD's benefits include superior code quality, early bug detection, confidence in refactoring, clear requirements and design, and collaborative documentation.
TDD aims to improve the quality of the code from the ground up by emphasizing clean, modular, and maintainable code.
TDD detects bugs early, not when the code goes to production, reducing debugging time.
TDD improves code reliability with its comprehensive test suite acting as a safety net and continuous code improvement.
TDD is universal and can be applied to any project of any size or complexity and any technology stack or programming language.
Behaviour Driven Development (BDD) extends TDD's principles and focuses on behavior and business value.
Recommended TDD resources include ‘Test Driven Development by TestDriven.io’, ‘Introduction to TDD by BrowserStack’ and ‘Jest Documentation’.

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Prodevelopertutorial

373

Sorting algorithm 1: Bubble sort

Bubble sort is a sorting algorithm which swaps two elements if the next element is greater in value.
Bubble sort involves two loops, an outer and an inner one.
In bubble sort, the largest element is sorted and brought to the end of the list in every iteration.
An implementation of bubble sort in C is provided to sort an array by comparing and swapping elements.
Bubble sort has a time complexity of O(n^2) as it always compares two elements in each pass.
Bubble sort sorts an array by making comparisons between two adjacent values and swapping them whenever required.
The sorted array can be displayed with the 'print_array' function.
Bubble sort is commonly used in small-scale applications and not as much in larger real-time applications.
The program saves processing time by breaking out of the loop if no swapping is done after the third pass.
Bubble sort is not considered an efficient sorting algorithm for large arrays.

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Dzone

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Java Application Containerization and Deployment

Containerization of applications provides a way to combine all required application resources — including program and configuration files, environment variables, networking settings, and more — in a single, standardized, easily manageable package.
Multiple functionally identical containers can be started, run, managed, and terminated from a single container image, ensuring consistency from the point of image creation onward.
While there are numerous benefits to app containerization, many roll up into a single word: consistency.
Containerization solves nearly all of those externalities.
If you're just beginning to work with containerization, starting with a smaller, but full, operating system (OS) is a great first step.
There are various schools of thought on this, but if you're just beginning to work with containerization, starting with a smaller, but full, operating system (OS) is a great first step.
Many developers begin their containerization efforts by poring over the official Dockerfile reference documentation.
Multi-stage builds provide the means to reduce the size of container images if you have files required for the build that aren't required for the final output.
For applications that are largely self-contained, deploying to production can be as simple as a single command, assuming the deployment target is ready to accept a containerized application.
Containerization enables developers to combine all required application resources and supporting services in one or more container image(s) and to deploy, run, and manage them more easily.

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Prodevelopertutorial

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Chapter 6: Asymptotic Notation Big Omega and Theta

Big Omega notation (Ω) is used to represent tight lower bound.
If a function f(n) is equal to Ω(g(n)), it means f(n) is always greater than C(g(n)).
Big Theta notation (Ø) represents the average case for a function.
If a function f(n) is equal to Ø(g(n)), it means f(n) is greater than C1(g(n)) and less than C2(g(n)) for all n>= 0.

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Prodevelopertutorial

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Chapter 5: Asymptotic Notation Big O

Big O notation is used to calculate the complexity of an algorithm.
It defines that a function f(n) is equal to O(g(n)) if it is always less than c * g(n).
Reducing f(n) to g(n) helps in understanding the rate of growth of the function.
Examples of functions and their corresponding Big O notations are provided.

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Logrocket

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Working with URLs in JavaScript

The URL API, supported in all modern browsers, provides a way to parse and manipulate URLs. Understanding the parts of a URL
With modern JavaScript, we can parse URLs and extract these different parts as needed. In older browsers, before the URL API was available, one way that developers parsed URLs was by using an element.
If you’re interested in the value of a particular parameter in the query string, you can use its get method to get the parameter by its name.
Let’s look at a simple case first:
If you call the URL constructor with a relative URL and specify an invalid or incomplete URL for the base URL, you’ll get an error.
Using the URLPattern API to match patterns within URLs can be useful for things like client-side routing in a single-page application (SPA).
The URL API is a versatile interface for constructing, validating, and manipulating URLs in JavaScript.
By using a URLSearchParams object, you can build a query string without worrying about string concatenation or encoding special characters.
Creating relative URLs - Normally, the argument to the URL constructor will throw an error if it’s not a full, valid URL.
You might be familiar with the window.location object, which represents the current page’s URL.

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Prodevelopertutorial

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Chapter 4: Asymptotic Notations

AN are mathematical functions that are used to calculate running time and rate of growth of an algorithm.
Order of growth of computing time: logN, N, NlogN, N^2, 2^n.
Factors affecting running time: Speed of computer, compiler used, programming language, algorithm of choice, types and size of input/output.
Constants are ignored to focus on algorithm performance for larger values of input.
Types of Asymptotic Notations: Big O (worst case), Big Omega (lower bound), Bit Theta (average case).

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Dev

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LeetCode Challenge: 42. Trapping Rain Water - JavaScript Solution 🚀

To solve LeetCode 42: Trapping Rain Water, we need to calculate the total amount of water that can be trapped between elevation heights after it rains.
This problem is best tackled using the two-pointer approach, which has O(n) time complexity and O(1) space complexity.
The implementation of the solution involves initializing two pointers and two variables to store the maximum height seen so far from the left and right.
Then, the algorithm compares the heights at the left and right pointers, calculates the water trapped based on the maximum heights, and moves the pointers inward until they meet.

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Medium

162

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Death to all zombies: crafting weapons for Zombie State

The team behind weapon design for the mobile roguelike shooter Zombie State shared the insights from their gun creation journey.
To design and configure 15 entirely new guns in a short timeframe, a lot of significant changes needed to be made under tight deadlines.
The art team focused on the visuals and behavior of the guns to create an emotional attachment to each weapon.
The Zombie State weapons were inspired by existing firearms but reimagined in a post-apocalyptic style with a handmade, garage-crafted feel.
Each gun carries with it a visually identifiable backstory, enabling players to envision the artistically created narrative simply by looking at it.
The team created innovative designs that consumed minimal resources to give each gun a unique personality.
To create a realistic shooting experience, the team developed multiple animations for each weapon and fine-tuned the parameters for transitioning between these animations.
Four types of ammunition, the automatic firing system, impulse settings for the ragdoll animations, and bullet spread calibrated to external factors significantly enhance the shooting feel.
Players can immediately gauge the capabilities of their newly acquired weapon as all weapons automatically reload when transitioning between rooms, and picking up a new weapon always provides one loaded magazine.
The team had to bypass the creation of 2D concepts and began blocking out designs in 3D, which proved to be more efficient and visually informative.

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Prodevelopertutorial

145

Performance analysis of an algorithm: Time Complexity

In this chapter, we learn about calculating time complexity.
Example 1: Time complexity of calculating sum of 'n' numbers in an array is O(n).
Example 2: Time complexity of matrix addition is O(n^2).
Different types of time functions include O(1), O(n log n), O(n), O(n^2), O(n^3), O(2^n), O(3^n), O(n^n).
The increasing order of time consumption is O(1) < O(n log n) < O(n) < O(n^2) < O(n^3) < O(2^n) < O(3^n) < O(n^n).

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