English series
Programming
English editions of Guozhen AI articles. The text is localized for global readers while the original diagrams, screenshots, and code examples remain aligned with the Chinese source.
Use this series as the technical reading layer, then continue into AI software buyer guides, tool comparisons, benchmarks, API platform decisions, coding agents, and LLM security research.
From Series Reading to Tool Decisions
Turn this AI series into practical software, model, API, and security choices.
English Series FAQ
Use this series as evidence before choosing AI tools.
How should I use the Programming English series?
Use the series as the learning layer for concepts, screenshots, prompts, and implementation details, then continue into buyer guides, tool comparisons, benchmarks, API decisions, and security checks.
Is the Programming series enough to choose an AI tool?
No. The series gives context and practical examples, but production choices still need pricing review, privacy checks, integration testing, benchmark evidence, and fallback planning.
What should I read after this 16-lesson series?
Open AI Software Buyer Guides, AI Tools Workbench, Best AI Coding Agents, AI Model Benchmarks, OpenAI vs Anthropic API, or LLM Security Tools depending on your next decision.
Why keep the original diagrams and screenshots?
The visuals preserve source evidence from the Chinese articles, so global readers can inspect interfaces, outputs, and workflows instead of relying only on a translated summary.
Example usage
In the previous article, we explored how to implement a simple search algorithm. This time, we’ll continue our learning journey by practicing a common sorting algori...
Read lessonExample usage
In the previous tutorial, we explored simple sorting algorithms such as bubble sort and selection sort. In this tutorial, we shift our focus to searching algorithms...
Read lessonTest Bubble Sort
In the previous tutorial, we learned the fundamentals of algorithm analysis—particularly how to use Big O notation to evaluate an algorithm’s time and space complexi...
Read lessonBig O Notation: Analyzing Algorithm Efficiency
In the previous article, we explored algorithmic space complexity and learned how to measure the memory resources an algorithm consumes. In this article, we delve in...
Read lessonAlgorithm Analysis: Space Complexity
In the previous article, we explored time complexity , which evaluates an algorithm’s efficiency by measuring how its runtime grows with input size. This article foc...
Read lessonTime Complexity Analysis in Algorithms
In the previous article, we discussed trees and graphs—fundamental data structures for handling complex data. In algorithm design, analyzing algorithm performance is...
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After grasping the overall framework of data structures, our previous article explored the fundamental concepts and applications of stacks and queues . Next, we will...
Read lessonTest cases
In the previous article, we discussed the linked list—a fundamental data structure that provides flexible storage for elements. In this article, we will explore two...
Read lessonLinked Lists: A Beginner's Guide to Data Structures
In the previous tutorial, we discussed arrays—a fundamental data structure—covering their characteristics, advantages and disadvantages, and practical applications....
Read lessonCreate an array
In our Algorithm Beginners’ Tutorial series, the previous article introduced recursive algorithms , where we discussed how to solve common problems using recursion....
Read lessonRecursion Algorithm Explained for Beginners
In the previous article, we discussed common search algorithms, including linear search and binary search. In this article, we will delve into a classic algorithmic...
Read lessonExample usage
In the previous article, we introduced common sorting algorithms, which help organize data into an ordered sequence. Next, we will discuss another essential class of...
Read lessonExample
In the previous article, we explored the fundamentals and practical applications of algorithms, learning that algorithms are effective tools for solving problems. In...
Read lessonLoad image in grayscale
In the previous article, we discussed the characteristics of algorithms—including their effectiveness , feasibility , and determinism . Next, we will explore the pra...
Read lessonCompute the sum of squares from 1 to n
In the previous article, we explored what an algorithm is and gained a foundational understanding of its definition and structure. Next, we will delve into several e...
Read lessonUsage
In computer science and mathematics, an algorithm refers to a set of step by step instructions or rules designed to solve a specific problem. An algorithm can be vie...
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