The hottest Coding Substack posts right now

And their main takeaways
Category
Top Technology Topics

Getting Responses to Questions from Azure Open AI ChatGPT in a CMD Window

Rod’s Blog • 19 implied HN points • 19 Apr 23
🕹 Technology AI Python Security Coding
  1. The author has been exploring Azure Open AI ChatGPT and its security implications, highlighting the importance of understanding security when implementing new technologies.
  2. A simple command-line Chatbot utilizing external files for configuration data and questions was created to demonstrate the possibilities with Azure Open AI ChatGPT.
  3. To use the command-line Chatbot, access to Azure Open AI, Python, and specific Python libraries is required.

Prompt Engineering For Rapid Data Visualization with GPT-4 and Python

Data at Depth • 19 implied HN points • 11 Jun 23
🕹 Technology Data Visualization Artificial Intelligence Coding
  1. Using GPT-4 for prompt engineering simplifies Python coding for complex data visualizations by providing concise instructions and reducing troubleshooting time.
  2. GPT-4 allows focusing on implementing solutions rather than dealing with lower-level coding details.
  3. Integration of GPT-4 with Python streamlines the process of creating interactive data visualizations, making it faster and more efficient.

[Solution]Problem 58:Kth Largest Element in a Stream [Amazon]

Technology Made Simple • 39 implied HN points • 30 Sep 22
🕹 Technology Coding Data Structures Object Oriented Programming
  1. The problem focuses on designing a class to find the kth largest element in a stream, emphasizing it's the kth largest in sorted order, not distinct element.
  2. The implementation includes initializing the class with k and a set of numbers, then appending values to the stream to return the kth largest element.
  3. The constraints for the problem include specific limitations on the range of values and number of calls that can be made.

[Solution]Problem 57:Longest Repeating Character with Replacement[Google]

Technology Made Simple • 39 implied HN points • 23 Sep 22
🕹 Technology Coding Problem Solving Programming
  1. The problem involves finding the longest substring with the same character after changing up to k characters. It can be seen as Leetcode problem 424.
  2. The examples provided illustrate the concept, showing how replacing characters can change the length of the longest repeating substring.
  3. Constraints like string length and character types are important to consider when solving the problem.
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[Solution]Problem 80: Unique Paths[Google]

Technology Made Simple • 19 implied HN points • 24 Mar 23
🕹 Technology Coding Algorithms Development
  1. The problem discussed involves finding the number of unique paths a robot can take to reach the bottom-right corner of a grid by moving only down or right.
  2. Grid traversal, dynamic programming, and recursion are key concepts used to solve this problem efficiently.
  3. The test cases provided ensure that the answer is less than or equal to 2 * 10^9, with constraints on the grid size.

Lessons from the Approximations to the Travelling Salesman Problem[Math Mondays]

Technology Made Simple • 39 implied HN points • 20 Sep 22
🕹 Technology Math Computer Science Coding Heuristics
  1. A good solution that can be deployed quickly is often better than an extremely complex optimal solution.
  2. Introducing mutations and heuristics can be beneficial in finding solutions, especially when working on heuristics instead of provably optimal solutions.
  3. Combining ideas from multiple domains can lead to innovative and valuable solutions in computer science.

All about the graphs [Math Monday]

Technology Made Simple • 59 implied HN points • 29 Mar 22
🕹 Technology Data Structures Algorithms Graphs Coding Interviews
  1. Graphs can be seen from various perspectives: charts and plots (stats), maps with complex algorithms (graph theory), and adjacency lists for coding. Understanding these perspectives is crucial for effective use of graphs.
  2. Identifying whether a problem could be a graph problem involves recognizing the entities (nodes), relationships (edges), and weights in the context of a system. This spotting framework helps in solving graph-related problems efficiently.
  3. Practicing graph spotting as a skill involves starting with easy problems to identify graph components quickly. Familiarity with graphs and the ability to spot them easily is crucial for solving graph problems in interviews.

New tools or old?

Sunday Letters • 79 implied HN points • 17 Apr 22
🕹 Technology Engineering Tools Coding Research Development
  1. It's important to learn new tools and technologies to keep growing. Having a variety of skills helps you adapt to changes in your field.
  2. While it's good to be comfortable with familiar tools, relying on them too much can make you stuck. Balance old and new tools to stay current and efficient.
  3. Look for tools that work well together and can be reused. This way, you can get more value out of what you learn and build over time.

Problem 52:Search 2D Matrix[Microsoft]

Technology Made Simple • 39 implied HN points • 17 Aug 22
🕹 Technology Coding Algorithm Newsletter Interviews Social media
  1. The problem of searching a 2D matrix, like Problem 52 with Microsoft, requires logical thinking rather than complex algorithms.
  2. In the problem, diligently understanding the matrix properties and basic algebra can lead to a solution.
  3. The problem scenario involves searching for a specific value in an integer matrix with sorted rows, making it crucial to spot the required insights for efficient searching.

Problem 51:Happy Number[IBM]

Technology Made Simple • 39 implied HN points • 10 Aug 22
🕹 Technology Programming Coding Newsletter Interviews Algorithms
  1. The problem highlighted focuses on determining if a number is a happy number through a specific process involving the sum of squares of its digits.
  2. A happy number reaches 1 through the process described, whereas some numbers loop endlessly without reaching 1.
  3. The post also mentions a newsletter aimed at helping individuals succeed in tech interviews by providing valuable resources and techniques.

Software engineering is not going anywhere anytime soon.

The Schematic • 3 HN points • 19 May 24
🕹 Technology AI Software Engineering Coding Future of work
  1. Software engineering is here to stay, despite claims that AI will replace coding jobs.
  2. AI has limitations in generating code and may not fully understand project contexts, making it less helpful in many real-world scenarios.
  3. Coding is a means to an end for software engineers, and increasing code production does not reduce the need for developers.

Reduce memory of graph traversal by marking spot as visited instead of using a set[Technique Tuesdays]

Technology Made Simple • 39 implied HN points • 02 Aug 22
🕹 Technology Coding Optimization Algorithms Data Structures Tech Education
  1. In graph traversal, reducing memory usage by marking spots as visited instead of using a set can optimize your code and help you move from O(n) space complexity to O(1) complexity.
  2. This technique is straightforward to implement, takes no extra space, and can be a significant improvement in graph traversal algorithms.
  3. When implementing this technique, be cautious about the value used to mark visited cells and always confirm with your interviewer about input data type to avoid conflicts.

Problem 26: Remove K digits to create smallest number[Microsoft]

Technology Made Simple • 59 implied HN points • 23 Feb 22
🕹 Technology Coding Algorithms Interview Prep
  1. Given a non-negative integer as a string, you can remove k digits to form the smallest number.
  2. Removing specific digits strategically can create the desired smallest number, as illustrated in the examples.
  3. It's important to consider string manipulation, integer typecasting, and a greedy approach when solving this type of problem.

[Solution]Problem 48:Valid Parentheses[Amazon]

Technology Made Simple • 39 implied HN points • 21 Jul 22
🕹 Technology Coding Problem Solving Algorithms Interviews
  1. Understanding the concept of valid parentheses is crucial in coding interviews to solve classic problems like determining if a string of brackets is valid.
  2. Key rules for valid parentheses involve closing the brackets in the correct order and ensuring that the opening and closing brackets match.
  3. Developing an algorithm to validate parentheses involves utilizing the Last In, First Out (LIFO) principle with stacks to track opening and closing brackets.

Problem 24: Sentence Checker[Nest]

Technology Made Simple • 59 implied HN points • 09 Feb 22
🚌 Education Coding Problem Solving Learning Interviews Newsletter
  1. Create a basic sentence checker that validates sentences based on specific rules like capitalization, punctuation, and spacing.
  2. The sentence must start with a capital letter, have proper lowercase letters, separators, and terminal marks, and contain single spaces between words.
  3. Validation criteria include starting with a capital, having proper case usage, correct punctuation, and spacing. The sentence must end with a terminal mark following a word.

The Cholocalate Milk Rule: Knowing when to sort your input [Technique Tuesdays]

Technology Made Simple • 39 implied HN points • 05 Jul 22
🕹 Technology Coding Algorithm Sorting Problem Solving Interviews
  1. Knowing when to sort your input is crucial in certain coding problems. The Chocolate Milk Rule helps in identifying when sorting can lead to the solution.
  2. The Chocolate Milk Rule works when the solutions can be filtered based on ordering and when solutions are generated from input subsets. It can be applied in various scenarios like 3 Sum, 2 Sum Sorted, and even Search.
  3. Sorting the input makes it easier to filter solutions based on their magnitude. This simplifies the process of finding solutions to coding problems.

How seemingly 'unrelated' concepts can be helpful when solving complex problems [Math Monday]

Technology Made Simple • 39 implied HN points • 04 Jul 22
🚌 Education Math Problem Solving Coding Learning
  1. The solution to complex problems often combines ideas from multiple domains, similar to how problem-solving in software engineering works.
  2. When faced with intimidating problems, remember that breaking them down into smaller components and using various techniques is key to finding the solution.
  3. Techniques used in math and coding interviews are often similar, such as using small test cases, analyzing functions, and reducing problems to previously solved cases.

Reducing selection bias / popularity bias in ranking

Recommender systems • 26 implied HN points • 20 Jan 24
🕹 Technology AI Machine Learning Data Analysis Algorithms Coding
  1. Reducing selection bias and popularity bias in ranking is important for recommender systems.
  2. An advocated approach is to factorize user interaction signals to account for biases originating from power users and power items.
  3. The proposals for causal/debiased ranking involve factorization, mutual information, and mixture of logits to improve the ranking model.

A list of questions to improve your performance on arrays[Technique Tuesdays]

Technology Made Simple • 39 implied HN points • 14 Jun 22
🕹 Technology Coding Problem Solving Interview Preparation Software Development
  1. The post discusses a list of questions to enhance your array problem-solving skills. It emphasizes coding each solution for beginners and mentally solving for advanced readers.
  2. There is a reminder to use a specific system to maximize learning from each question presented.
  3. The publication includes a special request to show support by completing a form to feature the newsletter on Substack.

Go fix your bugs

Basta’s Notes • 40 implied HN points • 04 May 23
🕹 Technology Coding Security Performance Validation
  1. Always validate the types of values your API accepts to prevent potential security vulnerabilities.
  2. Be cautious with regular expressions to avoid performance issues like ReDoS (Regular Expression Denial of Service).
  3. Check and handle subdomains and domain name validation to prevent unexpected bugs or failures in your application.

Solving Coding Problems through Case by Case Analysis of Input[Technique Tuesdays]

Technology Made Simple • 39 implied HN points • 08 Jun 22
🕹 Technology Coding Problem Solving Techniques Leetcode Tutoring
  1. Analyzing inputs and breaking down problems into different cases can help in solving coding problems more effectively.
  2. Practicing the technique of case-by-case analysis can improve problem-solving skills, especially in software engineering and Leetcode questions.
  3. By breaking down complex problems into easier subproblems and solving them individually, one can pick low-hanging fruit, find clearer next steps, and get hints on solving harder cases.

Using Bits as a way to Encode Preference[Technique Tuesdays]

Technology Made Simple • 39 implied HN points • 01 Jun 22
🕹 Technology Coding Data Structures Algorithms Math
  1. Using bit fields can significantly reduce storage requirements for tracking user preferences. A technique by Vimeo engineers allowed O(1) space compared to the traditional O(k) method, making the solution far more efficient.
  2. Bit fields utilize bitwise operators to represent content filters, enabling quick comparisons in constant time. This approach is memory and time-efficient.
  3. Implementing bit fields for tracking user preferences allows for efficient filtering of content by performing a bitwise AND operation between the user's and video's bit fields. This results in a quick eligibility check for the user.

Problem 39: Find the Celebrity[Pintrest]

Technology Made Simple • 39 implied HN points • 26 May 22
🚌 Education Problem Solving Coding Tutoring Interviews Learning
  1. Identifying a 'celebrity' in a group where everyone knows them but they know no one involves a logic puzzle with time complexity considerations.
  2. A key to solving the 'celebrity' problem efficiently is using the 'knows' method and a strategy to identify the person in O(N) time.
  3. Engaging with the author's content can involve liking posts, participating in surveys, or supporting them via Substack features.

[Solution]Problem 37: Word Search[Amazon]

Technology Made Simple • 39 implied HN points • 13 May 22
🕹 Technology Coding Graphs Backtracking Algorithms
  1. Identifying the pattern in graph problems can help simplify the solution - like finding adjacent letters in a grid.
  2. Using the correct graph traversal algorithm is crucial, like choosing DFS for visiting every node in a graph.
  3. Implementing backtracking in DFS can help efficiently solve problems - like removing unnecessary nodes for optimization.

Recurrence Relations[Math Mondays]

Technology Made Simple • 39 implied HN points • 10 May 22
🚌 Education Math Coding Algorithms Tutorial
  1. Recurrence relations are crucial in Computer Science and Discrete Math, defining the basis of Time Complexity.
  2. Understanding recurrence relations makes it easier to analyze code efficiency and computational requirements.
  3. By practicing common functions like sorting, searching, and analyzing their recurrence behavior, you can easily compute time complexity.

[Solution]Problem 36: Container with Most Water[Two Sigma]

Technology Made Simple • 39 implied HN points • 06 May 22
🕹 Technology Coding Finance Problem Solving Optimization Algorithms
  1. Maximizing the area of a container with water involves maximizing both its width and height, which leads to utilizing a technique like Two Pointers for an optimized solution.
  2. For the container problem discussed, starting with two pointers at the ends and progressively moving them towards each other to increase width helps in filtering out low width and height combinations.
  3. A key optimization technique known as 'Artem's Rule' states that if a > b, then a > all numbers lesser than b, which can be a foundational concept for various interview problem optimizations.

Using Single Responsibility to write amazing code [Technique Tuesday]

Technology Made Simple • 39 implied HN points • 04 May 22
🕹 Technology Coding Software Engineering Interviews Modularity Career development
  1. The Single Responsibility Principle in software engineering emphasizes that classes and modules should have only one distinct responsibility. This helps in making code easier to maintain and understand.
  2. Implementing the Single Responsibility Principle can lead to benefits such as easier code changes, simplified debugging, and smoother testing processes.
  3. In coding interviews, applying Single Responsibility by breaking down complex problems into smaller, focused components can help in solving questions methodically and efficiently, boosting problem-solving abilities.

[Solution]Problem 35: 3 Sum[Netflix]

Technology Made Simple • 39 implied HN points • 29 Apr 22
🕹 Technology Coding Algorithms Interviews Problem Solving Sorting
  1. Practice the skills mentioned in your interviews frequently to make problem-solving easier.
  2. Understanding the properties of numbers like knowing how values affect the sum can help in solving coding problems effectively.
  3. Sorting the input array can be crucial in solving problems where solutions need to be filtered based on certain properties of the input.

Problem 69: Generate Random Numbers According to Probability [TripleByte]

Technology Made Simple • 19 implied HN points • 15 Dec 22
🕹 Technology Coding Problem Solving Math
  1. The problem discussed involves generating random numbers based on given probabilities. For instance, if given numbers are [1, 2, 3, 4] and corresponding probabilities are [0.1, 0.5, 0.2, 0.2], the function should return 1 10% of the time, 2 50% of the time, and 3 and 4 20% of the time.
  2. The post includes information on job opportunities like a remote Machine Learning Engineer position and features a free weekly summary of AI and Machine Learning updates. There's also a call for sponsors for the newsletter.
  3. The textual content suggests subscribing to a resourceful newsletter for problem-solving tips and techniques in areas like Logic, Problem Solving, and Math. It also shares links to platforms where the author's content is available, such as YouTube and LinkedIn.

[Solution]Problem 34: Find Safe States[Microsoft]

Technology Made Simple • 39 implied HN points • 22 Apr 22
🕹 Technology Graphs DFS Algorithm Coding Programming
  1. The problem involves identifying safe nodes in a directed graph, which are nodes where all paths lead to terminal nodes. These safe nodes cannot be part of a cycle.
  2. The algorithm for identifying safe nodes can utilize DFS (Depth First Search) to traverse the graph efficiently and detect cycles or terminal nodes.
  3. Traversing the graph step-by-step, checking if each node is safe based on its neighbors, and building the solution methodically is key to solving the problem effectively.

Problem 34: Find Safe States[Microsoft]

Technology Made Simple • 39 implied HN points • 21 Apr 22
🚌 Education Coding Problem Solving Tutoring
  1. The problem discussed involves finding safe nodes in a directed graph where every path from the node leads to a terminal node. It's important to identify safe and terminal nodes in the graph.
  2. The solution to the problem should return an array of safe nodes sorted in ascending order. It's crucial to sort the output for easy analysis and comparison.
  3. By focusing on graph exploration techniques like reachability and cycle detection using DFS can help in solving similar problems efficiently. These techniques are essential for navigating through complex graphs.

The cheat code to getting good at Recursive Programming[Technique Tuesday]

Technology Made Simple • 39 implied HN points • 20 Apr 22
🕹 Technology Programming Functional Programming Computer Science Coding Algorithm
  1. Understanding recursion is crucial for coding at top tech companies, and it's a powerful concept in Computer Science.
  2. To improve at recursive programming, practice more recursion by solving specific types of questions such as sorting, list operations, and classic recursive functions.
  3. Getting exposure to Functional Programming can significantly enhance your recursive programming skills by encouraging a purely recursive way of thinking.