Thinking training behind the program: How important is logic? 3 ways to teach you to strengthen your logic

Introduction: The importance of logical thinking in programming

Logical thinking is the basis of programming. Whether you are solving simple problems or facing complex systems, the quality of logical thinking will directly affect the quality and efficiency of the solution. Good logical thinking not only helps us solve problems quickly, but also reduces the risk of errors in long-term projects and improves program maintainability.

In actual program development, we often encounter complex situations. From user needs to function implementation, there may be many unexpected challenges. If we can use logical thinking to effectively break down problems and logically analyze them, these challenges will become controllable and easy to deal with. . Rather than solving problems by intuition or trial and error, logical thinking puts more emphasis on solving problems based on sound reasoning and facts. Such training not only allows engineers to solve problems more efficiently, but also allows teams to communicate and share solutions more accurately during collaboration. Today I will share how to improve the accuracy of writing programs through daily training logic! 

Understand logical thinking

What is logical thinking?

Logical thinking is a way of thinking that involves reasoning and analysis based on rules. It requires us to be able to make organized inferences based on facts and rules when solving problems. Logical thinking is closely related to programming, because the program itself is the embodiment of a set of rules and logic. Each piece of code is composed of a series of conditional judgments, loop structures and data, which require developers to have a high degree of logical reasoning ability.

Logical thinking in programming is usually reflected in three main aspects:Conditional judgment、loop designandData structure selection.

Conditional judgment is a branch decision of the program, which determines how the program should run in different situations. Loop design is to effectively handle repetitive tasks and avoid lengthy and repetitive code. The choice of data structure requires developers to choose appropriate data storage and operation methods based on different problem scenarios. These decisions directly affect the performance and efficiency of the program! !

The specific application of logical thinking in programming

1. Conditional judgment: Conditional judgment is a typical application of logical thinking. When we write a program, we often need to determine the execution path of the program based on specific conditions. For example,if-else Structure allows us to take different actions based on different input situations, which ensures that the program can run normally under various circumstances.
2. loop design: Loop is another typical logical thinking application scenario. when we needTo execute a piece of code repeatedlyWhen doing this, the loop structure can help us manage this repetitive work more effectively. However, when designing loops, we must consider how to set upTermination condition, and howAvoid falling into infinite loops, these all require the use of logical thinking for reasoning and design.
3. Recursive operation: Recursion is a special programming technique that provides a concise and elegant solution when a problem can be decomposed into multiple similar sub-problems. The design of recursion requires very rigorous logical thinking, especially when setting the basic conditions of recursion and the termination conditions of recursion. If not handled properly, it will lead to infinite recursion and system crash.

Methods to train logical thinking

Logical thinking ability is not something you are born with. It can be improved through systematic training and practice. The following are several practical logical thinking training methods that can help programmers better understand and apply logic!

1. Math and logic games

Math and logic games are the most direct and fun way to train. Mathematics is essentially a logical subject. By solving mathematical problems, we can learn how toProblem abstraction, and then solve it through logical reasoning. Puzzle games such as Sudoku and chess can also help improve our logical reasoning abilities. These games require us to make the best decisions under limited conditions while considering the impact of each step, which is very similar to logical thinking in programming.

2. Participate in the programming challenge

Participating in programming challenges or online competitions is also an effective way to train logical thinking. There are many online platforms that offer a variety of programming challenges, ranging from basic to advanced levels of difficulty. These challenge questions usually require sophisticated logical reasoning skills and require developers tolimited timeFind an efficient solution within.

• LeetCode It is one of the most popular platforms, with thousands of questions covering data structures, algorithms, mathematical problems and other types. By constantly practicing these questions, we can gradually strengthen our logical thinking and improve the speed of problem solving.
• CodeSignal is another good choice. It also provides a rich question bank and has designed a variety of challenge modes for developers with different difficulty levels. These challenges can help us use logical thinking more flexibly to solve problems during the actual development process.

3. Analytical reasoning and strategy games

Strategy games such aschess, goetc., all require a high degree of logical reasoning ability, because each step of operation will have a profound impact on the subsequent results. This is very similar to logical thinking in programming, which requires us to not only consider the current situation when making decisions, but also predict possible future developments. By continuously analyzing the reasoning process in different situations, we can improve our ability to make correct decisions in complex situations, thereby enhancing our problem-solving abilities in programming.

How to apply logic to programming?

Logical thinking is the core of programming. It not only plays a key role when writing programs, but also helps us analyze and solve problems in a more organized way. The following are specific steps and examples of how to apply logical thinking in programming:

1. Problem decomposition and logical reasoning

When facing a complex problem, we should first break it into multiple small problems and then solve them step by step. This approach allows us to focus on each specific part rather than being overwhelmed by the complexity of the overall problem. This is similar to the process of solving a math problem or puzzle: first understand the problem and then break it down into manageable units.

For example, suppose we need to design a program to return the corresponding month name based on the number entered by the user. This problem can be broken down into several steps:

1. Determine whether the number entered by the user is valid (for example, whether it is between 1 and 12).
2. According to the number, map it to the corresponding month name.

We can use Python to understand this simple logic example: