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15 Tips to Improve Logic Building Skills in Programming

“In some ways, programming is like a painting. You start with a blank canvas and certain basic raw materials. You use a combination of science, art, and craft to determine what to do with them.” – Andrew Hunt

Yes, programming in itself is a very beautiful art. Sometimes we may face some problems while trying to program, but we can definitely overcome them. So, in this article, we will be sharing the top 15 tips and techniques that can help you to make your programming skills more strong, and rectify some common programming problems and this will also help you in the logic-building process.

How to Improve Your Logic-Building Skills in Programming?

Here are the ways in which you can improve your logic-building skills in programming. So let’s get started!!!

1. Concepts are Building Blocks for Programming

While trying to crack the logic of any coding problem, many of us think that we never came across such algorithms or theorems while studying and therefore are not able to solve the problem. In order to solve any problem, we should know the concepts of that topic, then only we would be able to apply them and solve the problem. Theoretical knowledge and concepts can be gained by reading articles, blogs, documentation, and watching videos based on that topic. You can also refer to the articles on GeeksforGeeks for building your concepts. We should also know the application of concepts and practice some important problems based on that topic.

2. Be Consistent

Many times it happens that we take up a challenge to solve a question for some number of days and then discontinue in the middle after some days!! It is a popular saying that practice makes a man perfect!! The same is the case with building programming logic. Make it a point to revise, or read an article or solve a question daily despite being very busy with remaining activities. Practicing consistently will help a lot in the overall logic-building process. In order to motivate yourself, you should always contemplate the reason why you started, reward yourself, and make programming fun by solving some quizzes and experimenting with the programs to see different outputs.

3. Pen and Paper Approach

After seeing any problem, we generally start coding the same on our IDE. So, when we are asked to write code on paper in interviews, we fail to do so. Always try to write the pseudo code or algorithm of the code before implementing them. It will help you in writing the code and the next time whenever you approach a similar problem you will be able to recollect more easily. It will also help you in getting syntactically strong.

4. Revision is Very Important

Many of you might be facing this issue that you learn a particular concept but after a few days or months when another question with the same logic or concept appears, you are unable to solve it. This is because you haven’t revised the concepts. Always make it a point to write down the important concepts and logic of questions that are important and keep them revised again and again. This will help you in recollecting the concepts easily.

5. Do as Many Questions as You Can 

It happens with most of us that there comes a single question and most of us get stuck there for 4 to 5 days and still are not able to crack it. Always try to practice lots of questions in order to develop your programming logic skills. This will help you in improving your logic building. If you are stuck on a single question, don’t spend a lot of time after a single question instead look for the concepts hidden behind the question.

6. Puzzle Solving

In many coding competitions, problems are not directly asked based on a concept. Instead, it generally involves a story woven around it, and we have to figure out the logic for solving the program. In such cases, sometimes we are unable to solve the problem. Try solving puzzles such as Sudoku to develop your logic and thinking ability because programming is nothing but solving complex problems with the help of good logic. 

7. Follow Step-by-Step Approach

We don’t start running since the day we are born. Similar logic applies to coding also. We should not directly jump to difficult questions. We should go from Basic to Advance questions. You can take the ratio of questions such while choosing 10 questions you can divide them into 5 easy, 3 medium, and 2 hard questions. You can find these questions on many good websites. Sometimes, people solve a lot of easy questions from all the sites, but they are not able to solve medium-level questions. Instead, make a balance of all the levels. This will help in clearing the coding tests while placements as most of the questions are from easy to medium level.

8. Find a Programmer’s Community

Sometimes we get bored while solving problems by ourselves with no one to teach or guide us. In such cases, you can always try discussing solutions or complex questions with fellow programmers and friends. This will always help you in finding new logic for the same problem and will help you in optimizing your code. This will also improve your confidence and communication skills!!

9. Go through the Editorials

It happens a lot of times that we are not able to solve some questions, so we just leave the question or understand the editorial and move forward without implementing it. After programming any question, go through the editorial section and the top submissions of the code. Here you will be able to find optimized and different logic for the same code. Try to implement the solutions in the editorial section after understanding them, so that the next time you find such a question you will be able to solve it.

10. Take Part in Coding Challenges

Most people are aware of coding challenges and if you want to build your logical skills then you must keep taking part in the same. Taking part regularly in coding challenges is very useful as it makes you familiar with the logical mindset. In a coding challenge, there are numerous types of questions that provide you with a lot of exposure. Also, taking part in such challenges allows you to see solutions of various codes provided by different coders and helps you if stuck at some point. 

11. Learn New Things Regularly

Programmers should never stop learning or being stuck on one topic. They must keep on solving multiple topics as it will help them to expand their area of knowledge by building technical skills. The aim should be solving new problems daily and not being stuck to the old pattern or algorithm in order to achieve success. However, at times some topics are a bit tough and take numerous attempts to solve, in that case, stop solving that and go on to the next one as sometimes new problems are helpful in solving the old ones. 

12. Understand Mathematical Concepts

Mathematics is an important aspect of programming and understanding properly will help you in making numerous visuals or graphs, coding in applications, simulation, problem-solving applications, design of algorithms, etc.

13. Build Projects

Project building is another task that will enhance your logical building skills in programming. It challenges your ability to tackling with new things by using different methods and tactics. It is recommended that you must build one project in order to get a proper clarity of the subject and assess yourself in order to work ahead efficiently.

14. Notes Preparation

Notes are saviors and if one does that regularly then nothing can beat them from achieving their goal. While making notes you must write down every trick, concept, and algorithm so that if you need it again it is easily available. So if you are solving any problem then make sure to note down the library functions it will also be helpful for your future interviews. Noting down basic algorithms such as merge sort, binary search, etc. will help you if you are stuck somewhere. 

15. Patience is the Key

Most of the time we leave programming after some days just because we are unable to solve the questions. Let’s always motivate ourselves by saying let’s just try one more time differently, before we decide to quit!!!

If you’ll patiently work on your programming logic skills and follow the tips which we have shared with you, no one can stop you from being a good programmer and you will surely crack all the coding tests and interviews!!!

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10 Tips to Build and Improve Logic Building in Programming 6 min read

Are you an aspiring developer, researcher, or analyst looking to enhance your logic-building skills in programming? Logic is the foundation of effective programming and plays a crucial role in problem-solving and creating efficient code.

Whether you are a beginner or have some experience in coding, there are always ways to improve your logic-building abilities. In this article, we will explore ten valuable tips to help you build and enhance your logic skills in programming. So let’s dive in!

1. Understand the Fundamentals

To build a strong foundation in logic building, it is essential to have a solid understanding of programming fundamentals.

Concepts such as variables, loops, conditionals, and data structures are the building blocks of logical thinking in programming.

Take the time to learn these concepts thoroughly and practice implementing them in your code. Online tutorials, books, and coding courses can be valuable resources to enhance your understanding of programming fundamentals. Some important links:

• W3Schools – Python Fundamentals
• Codecademy – Fundamentals of Programming
• Coursera – Programming for Everybody

Example/Usage: When working on a project, understanding variables helps in storing and manipulating data. For instance, in a web application, variables can be used to store user inputs or preferences.

2. Break Down Problems into Smaller Parts

One of the most effective strategies for improving logic-building skills is to break down complex problems into smaller, more manageable parts. This approach allows you to tackle each component individually and then combine them to create a comprehensive solution.

Breaking down problems helps you analyze the problem’s requirements, identify potential challenges, and develop a step-by-step plan to solve them.

This systematic approach enhances your logical thinking and problem-solving abilities.

Some important links:

• GeeksforGeeks – Divide and Conquer
• HackerRank – Problem Solving Techniques

Example/Usage: Breaking down a large feature into smaller tasks is akin to dividing a complex algorithm into manageable steps, making it easier to implement and debug.

3. Practice Problem-Solving

Just like any other skill, logic-building in programming improves with practice. Engaging in regular problem-solving exercises helps you sharpen your logical thinking and exposes you to various coding challenges.

Platforms like LeetCode, HackerRank, and CodeSignal offer a wide range of coding problems that you can solve to enhance your logic-building skills.

Challenge yourself with different difficulty levels and strive to find the most efficient solutions. Remember, practice makes perfect!

• HackerRank – Problem Solving

Example/Usage : Regularly solving coding challenges on platforms like LeetCode hones problem-solving skills, making you adept at handling various scenarios.

4. Study and Analyze Existing Code

Studying and analyzing existing code is an excellent way to improve your logic-building skills. Dive into open-source projects, explore code repositories on platforms like GitHub, and examine how experienced programmers approach different problems.

Analyzing well-written code helps you understand different logic-building techniques, learn best practices, and discover new ways to solve problems efficiently.

By studying code, you expand your knowledge and gain insights into logical thinking in programming.

• GitHub – Explore Repositories
• Stack Overflow – Code Snippets
• GitLab – Open Source Projects

Example/Usage: Studying well-written code on platforms like GitHub provides insights into effective logic-building techniques, fostering a deeper understanding of programming.

5. Collaborate with Peers

Collaboration with fellow programmers is a valuable strategy to improve your logic-building skills. Working with others exposes you to different perspectives, ideas, and approaches to problem-solving.

It allows you to learn from their experiences, exchange knowledge, and discover alternative solutions to coding challenges. Participate in coding communities, join coding forums, or even form study groups with like-minded individuals.

By collaborating with peers, you can enhance your logical thinking through shared learning and collective problem-solving.

• Stack Overflow – Collaborate
• GitHub – Collaboration Tools
• Reddit – Programming Community

Example/Usage: Collaborating on a shared project with peers exposes you to diverse solutions, helping refine your logical thinking through shared learning.

6. Implement Pseudocode

Before diving into writing code, it is beneficial to plan your approach using pseudocode. Pseudocode is a simplified version of your code that focuses on the logic and algorithmic steps without worrying about the syntax.

By writing pseudocode, you can outline the logical flow of your program, identify potential issues, and refine your solution before implementing it in a specific programming language.

Pseudocode serves as a blueprint for your code and helps you develop a more logical and structured approach to problem-solving.

• GeeksforGeeks – Introduction to Pseudocode
• Khan Academy – Introduction to Algorithms

Example/Usage: Imagine you’re building a system to automate an inventory process. Before coding, use pseudocode to plan out how the system will check stock levels, reorder products, and update the inventory database. It’s like creating a strategic game plan before hitting the coding field!

7. Explore Different Programming Paradigms

Familiarizing yourself with different programming paradigms can significantly improve your logic-building skills. Programming paradigms, such as procedural, object-oriented, functional, and logical programming, offer different approaches to problem-solving.

Each paradigm has its own set of principles and techniques that can expand your logical thinking abilities. By exploring various paradigms, you can gain a broader perspective on programming and develop a more versatile and adaptable approach to logic building.

• GeeksforGeeks – Introduction to Programming Paradigms
• Medium – Understanding Programming Paradigms
• Coursera – Programming Paradigms by Stanford University

8. Continuously Learn and Update Your Knowledge

The field of programming is constantly evolving, with new technologies and methodologies emerging regularly. To stay ahead and enhance your logic-building skills, it is crucial to keep learning and updating your knowledge.

Stay updated with the latest programming languages, frameworks, and tools relevant to your field. Engage in online courses, attend coding conferences and workshops, and participate in webinars to expand your understanding of programming concepts and logical thinking techniques.

• Udemy – Online Programming Courses
• Coursera – Computer Science Courses
• freeCodeCamp – Learn to Code for Free

9. Seek Feedback and Learn from Mistakes

Seeking feedback and learning from your mistakes is an essential aspect of improving logic-building skills in programming. Share your code with experienced programmers, mentors, or colleagues and ask for constructive feedback.

Their insights can help you identify areas for improvement, discover more efficient solutions, and refine your logical thinking process. Embrace failure as an opportunity for growth and view mistakes as valuable learning experiences.

By learning from your mistakes, you can continuously improve your logic-building abilities.

10. Stay Persistent and Practice Patience

Developing strong logic-building skills in programming takes time and persistence. It is essential to stay patient and keep practicing, even when faced with complex problems or challenging coding tasks.

Rome wasn’t built in a day, and neither will your logical thinking abilities. Embrace the learning process, celebrate small victories, and don’t be discouraged by setbacks. With persistence and patience, you will gradually develop a deeper understanding of logic in programming and become a more proficient programmer.

In conclusion, logic-building skills are fundamental to becoming a successful programmer, researcher, or analyst. By implementing these ten tips, you can enhance your logical thinking abilities and improve your logic-building skills in programming.

Embrace the journey of logic building and enjoy the process of becoming a more skilled and logical thinker in the world of programming.

Happy learning!

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How to learn logical reasoning for coding and beyond

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From the binary digits that computers use to represent data, to the most sophisticated AI programs, logic is key to the development and implementation of the technologies we rely on. Logic isn’t just a tool for programmers, though. We all use logical reasoning on a daily basis to think through problems and make decisions.

There are a lot of advantages to burnishing your logic skills. If you’re learning to code , practicing logical reasoning will help you understand how programming languages work and how programmers use them to solve problems. If you’re not at that stage yet, that’s all right: learning logical reasoning will make you a more effective and self-aware thinker , and that has applications far beyond programming.

Today, we’re going to discuss logical reasoning: what it is, why it’s important in the context of programming, and how you can start learning it.

Learn to code today. # Try one of our courses on programming fundamentals: Learn to Code: Python for Absolute Beginners Learn to Code: C++ for Absolute Beginners Learn to Code: C# for Absolute Beginners Learn to Code: Java for Absolute Beginners Learn to Code: Javascript for Absolute Beginners Learn to Code: Ruby for Absolute Beginners

Logical reasoning defined #

Narrowly defined, logical reasoning is the practice of applying induction, deduction, or another logical method to a problem. More broadly, using logical reasoning means analyzing the relationships among the constituent parts of an argument or process . It involves thinking about how elements interact to bring about a certain result.

Logical reasoning has tons of practical applications. You can use it to construct strong arguments and analyze the arguments of others. You can use it to develop step-based processes that are efficient, effective, and internally coherent. This is why logical reasoning is so important to so many disciplines. Philosophers, scientists, mathematicians, and computer programmers all use logic in their work.

2 types of logical reasoning #

There are many types of logical reasoning. We’ll discuss two of the most important before exploring the role of logical reasoning in programming, specifically.

Inductive reasoning involves evaluating a body of information to derive a general conclusion . Whenever you engage in research, you’re using inductive reasoning insofar as you’re gathering evidence and using it to better understand the topic at hand. It’s important to remember, however, that the conclusions you’ll arrive at through induction will often be built on evidence that is incomplete. This means that the outcome of inductive reasoning tends to be probable rather than certain.

Deductive reasoning is the process of deriving conclusions from general statements or principles called premises . The syllogism is one of the most basic forms of deductive reasoning. A syllogism includes a major premise, a minor premise, and a conclusion. Here’s an example:

“All bears have fur. A polar bear is a type of bear. Therefore, polar bears have fur.”

In this case, the premises are true, and they lead logically to the conclusion. A deductive argument can easily go wrong if the conclusion doesn’t follow logically from the premises or if one or more of the premises are false. The following syllogism is flawed:

“All bears live in forests. A polar bear is a type of bear. Therefore, polar bears live in forests.”

The major premise is incorrect, so the conclusion is also incorrect.

In summary, while induction involves deriving general principles from specific cases, deduction involves applying general principles to specific cases.

How programmers use logical reasoning #

Logical reasoning plays an important role in programming. Let’s discuss some of the ways that programmers use logic in their work.

Problem-solving #

Programmers use logical reasoning for problem-solving. Before you start coding a program, you’ll have to wrestle with questions about what the program is trying to accomplish, what features it will need to have, what programming language you’ll write it in, and so on. Inductive and deductive reasoning are useful tools for answering process questions like these.

Writing code #

Coding is the process of writing instructions in a language a computer can read. These instructions direct the computer to perform a set of operations . Writing functioning code requires applying logic. Imperative programming , for instance, is a paradigm based on issuing commands for a program to follow on a step-by-step basis. Writing these commands is a logical process. It requires thinking about the relationships between parts. Do the commands interact with each other to bring about the desired outcome? If not, the code isn’t going to work.

Writing functioning code is also dependent on understanding the logic of the programming language you’re using. For example, the logical operators and, or, and not in Python are derived from Boolean logic, and they’re an important part of conditional statements and other logical expressions.

Creating algorithms #

Algorithms used in machine learning and artificial intelligence also rely on logic. An algorithm is a set of instructions that tells a program what to do on the basis of certain inputs. A simple decision tree algorithm, for instance, will consist of a series of branching decisions. The logic of each branch is fairly simple: “If a certain condition is met, do A . If not, do B .” These branching decisions are repeated through later stages of the program to specify the appropriate end result based on the inputs.

Strategies for practicing logical reasoning #

The best way to practice logical reasoning is by consciously implementing it in your daily life. Here are a few exercises that might be helpful.

Find a news article or thinkpiece in a reputable publication. Read it and try to pick out the author’s primary claim . Then, try to identify the pieces of evidence that the author uses to support that claim. Does the author’s claim follow logically from the evidence? Or does the claim go beyond what the evidence actually supports?

Analyzing how authors use evidence to support their arguments is a great way of practicing inductive reasoning.

Next time you’re planning how to tackle a new project, break your process down into steps and then write them down on paper. Does the end result follow logically from the steps that precede it? Or does the process contain steps that are redundant, unnecessary, or counterproductive?

Remember that logic is all about coherence among the constituent elements of an argument or process. Thinking logically means thinking holistically about how relationships and interactions lead to a certain result.

Find an issue being presented for discussion at the next meeting of your local City Council or zoning board. Formulate a position on it, and use logical reasoning to construct an argument that articulates and defends that position .

As we discussed earlier, logical reasoning is a great tool for analyzing others’ arguments, but you can also use it to construct sound arguments of your own. The best way to practice this is by taking a position on an issue and trying to convince others that you’re right.

Next steps for learning logical reasoning #

There’s a good chance you already use the forms of logical reasoning we’ve described in this article. We arrive at judgments and decisions by evaluating evidence (induction) and applying principles that we believe to be true (deduction). Even so, studying logical reasoning and consciously applying it can make you a more rigorous and self-aware thinker. It will help you to pick out flaws in your logic and others’ , and it will help you to solve problems and build more efficient processes – in programming work and beyond.

If you’re interested in learning more about how programmers think, consider exploring Educative’s learn to code courses.

• Learn to Code: Python for Absolute Beginners
• Learn to Code: C++ for Absolute Beginners
• Learn to Code: C# for Absolute Beginners
• Learn to Code: Java for Absolute Beginners
• Learn to Code: JavaScript for Absolute Beginners
• Learn to Code: Ruby for Absolute Beginners

They provide an introduction to programming and how programmers solve problems. It also offers some insight into the logical structure of programming languages, explaining, for instance, how conditional statements work to ensure that programs perform the right operations in response to inputs.

Whether you’re learning to code or just trying to strengthen your problem-solving skills, you’ll find that the rigorous, step-by-step thinking that logical reasoning requires is a major asset.

Happy learning!

Continue learning about computers and programming #

Absolute beginner’s guide to computers and programming

How to think like a programmer: 3 misconceptions debunked

How much math do you need to know to be a developer?

Frequently Asked Questions

How can I practice my logic?

To practice logic in coding, try the following:

• Solve challenges on platforms like LeetCode or Educative.
• Build small projects.
• Debug and fix code errors.
• Study data structures.
• Participate in coding contests.
• Collaborate in peer programming.
• Learn different programming paradigms.
• Read and analyze open-source code.

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How to think like a programmer — lessons in problem solving

By Richard Reis

If you’re interested in programming, you may well have seen this quote before:

“Everyone in this country should learn to program a computer, because it teaches you to think.” — Steve Jobs

You probably also wondered what does it mean, exactly, to think like a programmer? And how do you do it??

Essentially, it’s all about a more effective way for problem solving .

In this post, my goal is to teach you that way.

By the end of it, you’ll know exactly what steps to take to be a better problem-solver.

Why is this important?

Problem solving is the meta-skill.

We all have problems. Big and small. How we deal with them is sometimes, well…pretty random.

Unless you have a system, this is probably how you “solve” problems (which is what I did when I started coding):

• Try a solution.
• If that doesn’t work, try another one.
• If that doesn’t work, repeat step 2 until you luck out.

Look, sometimes you luck out. But that is the worst way to solve problems! And it’s a huge, huge waste of time.

The best way involves a) having a framework and b) practicing it.

“Almost all employers prioritize problem-solving skills first. Problem-solving skills are almost unanimously the most important qualification that employers look for….more than programming languages proficiency, debugging, and system design. Demonstrating computational thinking or the ability to break down large, complex problems is just as valuable (if not more so) than the baseline technical skills required for a job.” — Hacker Rank ( 2018 Developer Skills Report )

Have a framework

To find the right framework, I followed the advice in Tim Ferriss’ book on learning, “ The 4-Hour Chef ”.

It led me to interview two really impressive people: C. Jordan Ball (ranked 1st or 2nd out of 65,000+ users on Coderbyte ), and V. Anton Spraul (author of the book “ Think Like a Programmer: An Introduction to Creative Problem Solving ”).

I asked them the same questions, and guess what? Their answers were pretty similar!

Soon, you too will know them.

Sidenote: this doesn’t mean they did everything the same way. Everyone is different. You’ll be different. But if you start with principles we all agree are good, you’ll get a lot further a lot quicker.

“The biggest mistake I see new programmers make is focusing on learning syntax instead of learning how to solve problems.” — V. Anton Spraul

So, what should you do when you encounter a new problem?

Here are the steps:

1. Understand

Know exactly what is being asked. Most hard problems are hard because you don’t understand them (hence why this is the first step).

How to know when you understand a problem? When you can explain it in plain English.

Do you remember being stuck on a problem, you start explaining it, and you instantly see holes in the logic you didn’t see before?

Most programmers know this feeling.

This is why you should write down your problem, doodle a diagram, or tell someone else about it (or thing… some people use a rubber duck ).

“If you can’t explain something in simple terms, you don’t understand it.” — Richard Feynman

Don’t dive right into solving without a plan (and somehow hope you can muddle your way through). Plan your solution!

Nothing can help you if you can’t write down the exact steps.

In programming, this means don’t start hacking straight away. Give your brain time to analyze the problem and process the information.

To get a good plan, answer this question:

“Given input X, what are the steps necessary to return output Y?”

Sidenote: Programmers have a great tool to help them with this… Comments!

Pay attention. This is the most important step of all.

Do not try to solve one big problem. You will cry.

Instead, break it into sub-problems. These sub-problems are much easier to solve.

Then, solve each sub-problem one by one. Begin with the simplest. Simplest means you know the answer (or are closer to that answer).

After that, simplest means this sub-problem being solved doesn’t depend on others being solved.

Once you solved every sub-problem, connect the dots.

Connecting all your “sub-solutions” will give you the solution to the original problem. Congratulations!

This technique is a cornerstone of problem-solving. Remember it (read this step again, if you must).

“If I could teach every beginning programmer one problem-solving skill, it would be the ‘reduce the problem technique.’ For example, suppose you’re a new programmer and you’re asked to write a program that reads ten numbers and figures out which number is the third highest. For a brand-new programmer, that can be a tough assignment, even though it only requires basic programming syntax. If you’re stuck, you should reduce the problem to something simpler. Instead of the third-highest number, what about finding the highest overall? Still too tough? What about finding the largest of just three numbers? Or the larger of two? Reduce the problem to the point where you know how to solve it and write the solution. Then expand the problem slightly and rewrite the solution to match, and keep going until you are back where you started.” — V. Anton Spraul

By now, you’re probably sitting there thinking “Hey Richard... That’s cool and all, but what if I’m stuck and can’t even solve a sub-problem??”

First off, take a deep breath. Second, that’s fair.

Don’t worry though, friend. This happens to everyone!

The difference is the best programmers/problem-solvers are more curious about bugs/errors than irritated.

In fact, here are three things to try when facing a whammy:

• Debug: Go step by step through your solution trying to find where you went wrong. Programmers call this debugging (in fact, this is all a debugger does).

“The art of debugging is figuring out what you really told your program to do rather than what you thought you told it to do.”” — Andrew Singer

• Reassess: Take a step back. Look at the problem from another perspective. Is there anything that can be abstracted to a more general approach?

“Sometimes we get so lost in the details of a problem that we overlook general principles that would solve the problem at a more general level. […] The classic example of this, of course, is the summation of a long list of consecutive integers, 1 + 2 + 3 + … + n, which a very young Gauss quickly recognized was simply n(n+1)/2, thus avoiding the effort of having to do the addition.” — C. Jordan Ball

Sidenote: Another way of reassessing is starting anew. Delete everything and begin again with fresh eyes. I’m serious. You’ll be dumbfounded at how effective this is.

• Research: Ahh, good ol’ Google. You read that right. No matter what problem you have, someone has probably solved it. Find that person/ solution. In fact, do this even if you solved the problem! (You can learn a lot from other people’s solutions).

Caveat: Don’t look for a solution to the big problem. Only look for solutions to sub-problems. Why? Because unless you struggle (even a little bit), you won’t learn anything. If you don’t learn anything, you wasted your time.

Don’t expect to be great after just one week. If you want to be a good problem-solver, solve a lot of problems!

Practice. Practice. Practice. It’ll only be a matter of time before you recognize that “this problem could easily be solved with .”

How to practice? There are options out the wazoo!

Chess puzzles, math problems, Sudoku, Go, Monopoly, video-games, cryptokitties, bla… bla… bla….

In fact, a common pattern amongst successful people is their habit of practicing “micro problem-solving.” For example, Peter Thiel plays chess, and Elon Musk plays video-games.

“Byron Reeves said ‘If you want to see what business leadership may look like in three to five years, look at what’s happening in online games.’ Fast-forward to today. Elon [Musk], Reid [Hoffman], Mark Zuckerberg and many others say that games have been foundational to their success in building their companies.” — Mary Meeker ( 2017 internet trends report )

Does this mean you should just play video-games? Not at all.

But what are video-games all about? That’s right, problem-solving!

So, what you should do is find an outlet to practice. Something that allows you to solve many micro-problems (ideally, something you enjoy).

For example, I enjoy coding challenges. Every day, I try to solve at least one challenge (usually on Coderbyte ).

Like I said, all problems share similar patterns.

That’s all folks!

Now, you know better what it means to “think like a programmer.”

You also know that problem-solving is an incredible skill to cultivate (the meta-skill).

As if that wasn’t enough, notice how you also know what to do to practice your problem-solving skills!

Phew… Pretty cool right?

Finally, I wish you encounter many problems.

You read that right. At least now you know how to solve them! (also, you’ll learn that with every solution, you improve).

“Just when you think you’ve successfully navigated one obstacle, another emerges. But that’s what keeps life interesting.[…] Life is a process of breaking through these impediments — a series of fortified lines that we must break through. Each time, you’ll learn something. Each time, you’ll develop strength, wisdom, and perspective. Each time, a little more of the competition falls away. Until all that is left is you: the best version of you.” — Ryan Holiday ( The Obstacle is the Way )

Now, go solve some problems!

And best of luck ?

Special thanks to C. Jordan Ball and V. Anton Spraul . All the good advice here came from them.

Thanks for reading! If you enjoyed it, test how many times can you hit in 5 seconds. It’s great cardio for your fingers AND will help other people see the story.

If you read this far, thank the author to show them you care. Say Thanks

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Posted on Oct 29, 2023

Introduction to Programming Logic: Understanding the Basics of Coding

Essentially, programming is giving instructions to a machine on how to carry out particular tasks. Programming logic is something that must be understood and used in order to interact with computers. What enables developers to solve issues, make apps, and construct software systems is the basic organization and flow of operations.

What is Programming Logic? The basic way programmers understand and organize their code to produce desired results is known as programming logic. Fundamentally, it involves decomposing issues into smaller, more manageable components and formulating a plan of action to address each one.

Key Elements of Programming Logic: 1. Sequence: Programming logic involves arranging commands in a sequential order, allowing the computer to execute them one after another.

2. Selection (Conditional Statements): Conditions or logical tests are used to direct the flow of a program. For instance, "if-else" statements allow the code to make decisions based on specific conditions.

3. Iteration (Loops): Loops enable the repetition of certain tasks until a condition is met. This helps in automating repetitive tasks and managing data efficiently.

Why is Programming Logic Important? Understanding programming logic is crucial for several reasons:

1. Problem Solving: Programming logic helps in breaking down complex problems into smaller, manageable parts. This simplification enables developers to solve problems systematically.

2. Efficient Code Writing: By using logical structures, programmers can write code that is not only understandable but also efficient. It helps in avoiding redundancy and streamlining the execution process.

3. Enhancing Debugging Skills: Logical thinking assists in identifying errors within the code and debugging more effectively. It becomes easier to trace the flow of a program and identify where issues might occur.

Building Blocks of Programming Logic: Variables: Variables are used to store data within a program. They can be manipulated and used in logical operations.

Operators: Operators perform specific operations on variables and values. For instance, arithmetic operators (+, -, *, /) are used for mathematical operations.

Control Structures: Control structures like loops (for, while, do-while) and conditional statements (if, else if, else) control the flow of the program.

Examples of Programming Logic: 1. Conditional Statements:

2. Looping:

How to Develop Strong Programming Logic? Solving problems and practicing regularly are necessary to develop strong programming reasoning. Here are some actions you can take to sharpen your reasoning:

1. Start with Simple Problems: Begin by solving simple problems using a structured approach. Break down tasks and analyze the steps to solve them.

2. Practice Regularly: Regular practice and writing code help reinforce programming logic. Experiment with different problems to understand how logic applies to diverse scenarios.

3. Learn from Others’ Code: Reviewing and understanding code written by experienced developers can provide insight into how logic is applied in different contexts.

Conclusion: Programming logic forms the foundation of coding. It’s the systematic approach of thinking and organizing instructions to create functional software. Embracing logical thinking, breaking down problems, and applying structured solutions are key components for any budding programmer.

By grasping programming logic, beginners pave the way for a deeper understanding of programming languages and the ability to develop efficient and effective software solutions.

Understanding programming logic is just the first step in an exciting journey towards becoming a proficient developer!

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8 Tips for Beginners to Improve Programming Logic

Suvankar das.

• June 25, 2024
• No Comments

Programming logic forms the basis for all the code. It is about how we think and structure the programs to make them work efficiently and flawlessly. Good programming logic can enhance code quality, making the code more robust and bug-free. Thereby boosting efficiency by allowing you to write more concise and organized code.

In fact, according to a HackerRank 2023 Developer Skills Report , 70% of employers say that problem-solving skills are more important than programming language knowledge.

Whether you are aspiring to be a web developer, app creator, or software engineer, these eight beginner-friendly tips will help you grasp the fundamentals of programming logic and set you on the path to becoming a skilled programmer. 

8. Don’t hesitate to Debug and Review

Recommended reads, can i become a good programmer without honing my logic-building skills, essential tips for improving your programming logic skills, 1. practice regularly and consistently.

When it comes to enhancing the programming logic, there is a famous saying that goes, “ Practice makes perfect .” This holds true for programming as well. Regular and consistent practice is important. It is the key to improving your logic-building skills. 

The essential part of the process is to keep coding vigorously and writing solutions regularly. This routine helps sharpen your logical thinking and problem-solving skills. 

2. Learn Data Structures & Algorithms

I. data structures.

When you learn about data structures, you are essentially exploring different ways to organize and store data in your programs. This allows you to choose the most efficient data structure for a specific task, making your code run faster and use less memory.

For example, one might examine how arrays, linked lists, or trees work and why one might be more suitable for a particular problem than the others. This process helps you develop better programming reasoning.

II. Algorithms

Algorithms are step-by-step instructions for solving problems. Understanding algorithms is essential for writing code that performs well and is maintainable. A good way to understand algorithms is to explore sorting algorithms. This knowledge strengthens your logical thinking and problem-solving abilities in programming.

3. Break Down Complex Problems

Breaking down problems is an important skill in problem-solving. Much like programming, this process involves dissecting large issues into manageable tasks or steps. Begin by initially conceptualizing the issue, and if needed, sketch it out on paper.

Pinpoint the primary challenges at hand. Start with the simpler problems, tackling them before moving to more challenging aspects. Persistence is key. By solving each smaller part, your problem-solving skills and logical reasoning will improve. 

4. Study and Understand Other Programmers’ Code

Studying other programmers’ code is a great learning opportunity. When you explore open-source repositories and diverse sources, you are exposed to different coding styles and approaches. GitHub is the best example of this. It provides a vast repository of open-source projects, allowing you to learn from real-world code examples.

This practice allows one to compare problem-solving skills with others and grasp different logical thinking processes. By delving into their code, you gain insights into their strategies. It broadens your understanding of best practices and enhances your adaptability. Also, it is an excellent way to learn from experienced developers. 

5. Participate in Coding Challenges and Learn from Feedback

Coding challenges are a fantastic way to sharpen logical thinking. The challenges are hosted on various websites like TopCoder, Coderbyte, and LeetCode . They not only test your coding skills but also offer solutions from fellow programmers, providing a learning opportunity. By comparing your code with theirs, you can improve your problem-solving abilities.

Consider tackling the most challenging coding tasks and bug bounty programs from tech giants like Microsoft, Google, and Amazon. These experiences will take your coding skills to the next level. The key is to embrace feedback and learn from the mistakes.

6. Adopt Different Programming Paradigms

Understanding different programming paradigms is a valuable skill for any programmer. These paradigms are like blueprints, guiding how to design and structure code. For example, one of the paradigms, the Object-Oriented Paradigm (OOP) emphasizes organizing data and behavior into objects. Learning this helps you create well-structured and modular code.

Another one of the paradigms, functional programming teaches you to approach problem-solving differently by using functions as first-class citizens. This can lead to more elegant and concise solutions. Adopting various programming paradigms expands your toolkit and develops a more versatile mindset.

7. Write Clear and Readable Code

Clear and readable code is key to becoming a skilled programmer. Code that is easy to understand brings numerous benefits. It is easy to maintain, simpler to debug, and less likely to contain errors. Use meaningful variable names that reflect their purpose, making it easier for others to grasp your code. Additionally, write comments that explain your code’s functionality and logic.

Comments serve as a roadmap for anyone reading your code, helping them understand your thought process. At last, maintain consistent formatting throughout your code. It promotes uniformity and ensures that your code is approachable and friendly to others who may need to work with it.

Debugging is also an important skill for programmers. Debugging skills can reduce development time by up to 25% as per a study by JetBrains.

It’s not just about fixing errors, it is a powerful learning tool too. When you debug, you dive into your code, discover why something isn’t working as expected, and find the solution. You understand its flow and logic better. Debugging ways, like breakpoints and print statements, help you pinpoint issues. 

Check this video out : 3 Habits to Build for Improving Your Logic & Programming Skills

In conclusion, strong programming logic is the foundation of becoming a proficient programmer. As highlighted, it demands unwavering practice, problem-solving accuracy, the ability to think logically, breaking complex problems into simple components, writing clear and easy code, meticulous debugging, and embracing your mistakes as learning opportunities are your steadfast allies on this journey. 

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What is the significance of programming logic in coding?

Programming logic is vital in coding as it provides the framework for connecting different components and enabling computers to perform tasks. The clearer your program logic, the easier it is to develop, evaluate, and execute activities within a project.

How can I enhance my programming logic skills as a beginner?

To improve your programming logic skills, practice regularly, expand your knowledge base, and maintain consistency. Stay motivated and develop a strong grasp of data structures and algorithms, as these also play a crucial role in logic building.

Does programming logic vary between different programming languages?

No, programming logic itself remains consistent across programming languages. It defines the rules and facts that computers use for reasoning. However, the implementation of logic can differ between languages and even within the same language.

Why is logic essential for programming?

Logic is fundamental to programming because it underpins the creation of complex algorithms and the solution of problems. Without strong logic-building skills, one cannot become a proficient developer, as programming inherently demands logical thinking and problem-solving abilities.

No, it’s challenging to become a skilled programmer without improving your logic-building skills. Programming inherently relies on logic and sophisticated algorithms. Effective problem-solving and coding are unattainable without a solid foundation in programming logic.

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Unlocking the Programmer's Mindset: How to Think Like a Programmer

When you hear the term " programming ," what comes to mind? Lines of code, algorithms, and complex software, right? While these are indeed essential components of programming, there's another crucial aspect that often goes overlooked - the programmer's mindset. Thinking like a programmer, also known as computational thinking, is a unique blend of problem-solving skills and mindsets that underpin the world of coding. In this article, we'll explore the key elements of thinking like a programmer and how you can develop this invaluable mindset.

Break Down Problems

At the core of programming is the ability to take a large, seemingly insurmountable problem and break it down into smaller, more manageable parts. This process, aptly called "decomposition," is a fundamental skill for programmers. Whether you're building a complex software application or solving a simple coding challenge, breaking the problem into bite-sized chunks makes it easier to tackle.

Think Logically

Logic is the lifeblood of programming. To think like a programmer, you must understand how to create a logical sequence of actions to solve a problem. This is known as "algorithmic thinking." Additionally, you'll need to master the art of utilizing conditions and repetitions in your code, known as "control flow." Logic is the glue that holds your code together and allows you to create functional solutions.

Every programmer knows that the code is not always error-free. Debugging, the process of finding and fixing bugs in your code, is a fundamental skill. It requires a keen eye for detail and the ability to spot where things are going wrong. Debugging is the art of problem-solving within the world of programming.

Abstraction

Abstraction is the skill of filtering out unnecessary information and focusing on what's essential. In programming, this often involves designing simple, reusable pieces of code to solve specific problems. Abstraction allows you to create efficient, modular, and scalable solutions.

Pattern Recognition

Pattern recognition involves identifying recurring patterns in problems and solutions. Recognizing these patterns can significantly simplify problem-solving. As a programmer, you'll develop the ability to see similarities between different challenges, making it easier to find efficient solutions.

Persistence

Programming can be challenging and frustrating, especially when you encounter difficult problems. Persistence is the key to overcoming these obstacles. A programmer must be willing to keep trying different solutions until they find one that works. This tenacity is what sets successful programmers apart.

Collaboration

While the stereotypical image of a programmer might be someone working alone in a dark room, in reality, programming is often a highly collaborative process. You'll need to effectively work with others, communicate your ideas clearly, and collaborate on complex projects.

Continuous Learning

The world of programming is constantly evolving. To stay relevant and excel in your career, you must commit to lifelong learning. This means being proactive about seeking out new technologies, techniques, and strategies to improve your skills and adapt to the ever-changing landscape of technology.

Why is it important? 

Think of it this way: You're planning a road trip. Instead of just hopping in the car and driving, you approach it like a programmer. You decide on your destination, determine the most efficient route, prepare a list of items you'll need, and plan for potential issues like traffic or car troubles. You're logically sequencing your actions with foresight, just like writing a program.

A programming mindset goes beyond coding; it shapes individuals into adept problem solvers, critical thinkers, and efficient decision-makers. These skills and attitudes are transferable and can lead to success in diverse fields, making a programming mindset highly valuable in today's dynamic world. Whether you're pursuing a career in technology or not, developing a programming mindset can significantly enhance your problem-solving abilities and decision-making skills.

Put your ‘Programming Mindset’ into practice

You've learned about the essential elements of a programming mindset, and now it's time to put these valuable skills into action. At Covalence, we're excited to invite you to join our Community Membership program , where you can apply and further develop your programming mindset in a supportive and collaborative environment.

Our Community Membership program is designed to help you harness the power of your programming mindset and continue your journey of growth and learning. By becoming a part of the Covalence Community Membership program, you'll not only enhance your programming mindset but also open doors to new opportunities and experiences in the tech world. Embrace the collaboration, support, and growth that our community offers.

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Coding Essentials: Learn Logic Building for Beginners Free Course

Free Logic Building for Beginners Certification Course Online

About this Coding Essentials: Learn Logic Building for Beginners Free Course

This Scaler Topics free online course on logic building for beginners will introduce you to the fundamental concepts of programming logic. You will learn how to approach complex problems, break them down into smaller parts, and solve them logically. The course is suitable for beginners who have no prior programming experience.

What you’ll learn

• You will develop an understanding of programming logic and problem-solving skills.
• Foster the ability to break down complex problems into smaller parts.
• You'll learn to write simple programs using flowcharts and pseudocode.
• It'll improve your logical reasoning and critical thinking skills.

Course Content

Certificate for Free Coding Essentials: Learn Logic Building for Beginners Free Course

Instructor of this course.

Prateek Narang, popular as Prateek Bhaiya is renowned programming instructor and former Google engineer. He has done his B.Tech from Delhi Technological University, and has taught over 100k students in online and offline modes. He is also co-founder of Coding Minutes and his courses are also popular on Udemy. He also leads initiatives at Scaler Topics bringing high quality free content and takes live sessions at Scaler Academy.

Pre-requisites for Free Logic Building for Beginners Certification Course

• There are no prerequisites for this beginner-friendly Logic building course.
• All you need is an internet connection, a laptop with a code editor of your choice, and a passion for learning.

Who Should Learn this Logic Building Free Course for Beginners?

• Anyone who wants to develop their logical thinking and problem-solving skills
• High school and college students who are interested in learning programming
• Beginners who want to start learning programming from scratch

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