DeepSeek-R1: EASIEST WAY To Learn To Code in 2025

Ishan Sharma
27 Jan 202506:52

TLDRThe video introduces DeepSeek-R1 as the easiest way to learn coding in 2025. It criticizes traditional coding courses for focusing on syntax and technicalities, which often lead to failure. Instead, it suggests using DeepSeek-R1 to build projects from scratch, emphasizing the importance of understanding programming logic. DeepSeek-R1, trained with reinforcement learning, provides a detailed thinking process before generating code, helping learners grasp the logic behind solutions. The video encourages viewers to use this tool to build projects, analyze mistakes, and improve, aiming to master programming basics in 7 to 20 days.

Takeaways

  • 😀 The traditional method of learning to code often leads to failure for 90% of people.
  • 😎 DeepSeek-R1 offers a new way to learn coding by focusing on understanding logic rather than just syntax.
  • 😎 You can ask DeepSeek-R1 to build projects for you, like a snake game in Python, and it will explain its thinking process.
  • 😎 The thinking part of DeepSeek-R1's responses helps you build the logic needed to solve coding problems.
  • 😎 Unlike other tools, DeepSeek-R1 uses reinforcement learning, which makes it more effective in teaching coding logic.
  • 😎 You can use DeepSeek-R1 to learn how to create various components and functionalities in different programming languages.
  • 😎 Writing code yourself and then comparing it with DeepSeek-R1's answers can help you identify and correct your mistakes.
  • 😎 Engaging in the 100 Days of Code challenge can enhance your coding skills and allow you to interact with the community.
  • 😎 DeepSeek-R1's Chain of Thought approach ensures it checks and rechecks its responses, providing a better learning experience.
  • 😎 The script encourages viewers to subscribe for more in-depth content about DeepSeek-R1 and its capabilities.

Q & A

  • What is the typical way to learn coding that often leads to failure?

    -The typical way involves buying a course, learning syntax, loops, functions, and classes, and then trying to build something. Most people fail because they can't complete the tutorials or don't know how to address their doubts.

  • What is DeepSeek-R1 and how does it differ from other coding tools?

    -DeepSeek-R1 is a chat app based on a large language model. It differs from other tools by showing its thinking process before providing answers, which helps users understand the logic behind the code.

  • Why is understanding logic more important than learning syntax in coding?

    -Understanding logic is crucial because it allows you to approach new problems and create solutions. Syntax can be learned later, but without logic, you won't know how to tackle new challenges.

  • How can DeepSeek-R1 help in learning to build a specific project, like a snake game?

    -DeepSeek-R1 can be asked to write code for a snake game in Python. It will show its thinking process, explaining the logic needed to build the game, which helps you learn the fundamental principles.

  • What is the advantage of DeepSeek-R1's reinforcement learning over ChatGPT's supervised learning?

    -Reinforcement learning makes DeepSeek-R1 more cautious and thorough in its responses. It checks and rechecks its answers, providing a deeper understanding of the problem-solving process.

  • How can using DeepSeek-R1 help new developers avoid becoming 'paralyzed'?

    -By encouraging developers to write code from scratch and then compare it with DeepSeek-R1's logic, it helps them build foundational skills rather than relying solely on automated tools.

  • What is the '100 days of code' challenge and how can it benefit learners?

    -The '100 days of code' challenge involves building something interesting every day and sharing progress on social media. It helps learners interact with the community, get feedback, and improve their coding skills.

  • Why should someone subscribe to the channel mentioned in the transcript?

    -Subscribing to the channel will keep you updated on future in-depth videos about DeepSeek-R1 and its capabilities, helping you learn more about coding and logic.

  • How long does it take to learn the basics of programming using DeepSeek-R1?

    -With consistent practice, analyzing mistakes, and rebuilding projects, you can learn the basics of programming from scratch in about 7 to 20 days using DeepSeek-R1.

  • What is the main message of the video?

    -The main message is that the easiest way to learn coding in 2025 is to use DeepSeek-R1 to understand the logic behind coding, rather than just learning syntax, and to practice building projects from scratch.

Outlines

00:00

🚀 The Best Way to Learn Coding in 2025

In this paragraph, the speaker introduces a revolutionary approach to learning coding in 2025, explaining that traditional methods often fail. These methods typically involve buying a course, attending classes, and learning technicalities like syntax and loops. However, this approach is ineffective for most people because they lack the ability to build logical thinking in programming. The speaker suggests a more effective path: start by defining a project you want to create (e.g., a snake game or a streaming service) and use tools like DeepSeek R1 to help generate code and understand the underlying logic. The key takeaway is that programming is more about understanding logic than memorizing syntax.

05:01

🤖 DeepSeek R1: The Key to Developing Logical Thinking

The speaker dives deeper into the concept of using DeepSeek R1 to enhance coding skills. DeepSeek R1 is a chat-based app that uses AI to not only write code but also explain its thinking process. It helps the user understand the logic behind the code, rather than just offering a solution. By analyzing how DeepSeek breaks down problems and thinking through solutions, users can build a strong foundation in programming logic. The speaker emphasizes that logic is the critical skill needed for software development, and DeepSeek's approach helps users learn it efficiently. The speaker also highlights the importance of repeatedly trying to solve problems, cross-checking answers, and learning from mistakes to build skills from scratch.

Mindmap

Keywords

💡DeepSeek-R1

DeepSeek-R1 is a sophisticated AI tool designed to assist users in learning to code by providing detailed thought processes and logic behind code solutions. In the video, it is portrayed as a revolutionary tool that helps users understand the fundamental logic of programming, which is crucial for becoming a proficient software developer. For example, when asked to write code for a snake game in Python, DeepSeek-R1 not only provides the code but also explains its thought process, helping users grasp the underlying programming logic.

💡Coding

Coding refers to the process of writing instructions in a programming language that a computer can understand and execute. The video emphasizes that the key to learning coding is not just memorizing syntax but understanding the logic behind it. DeepSeek-R1 aids in this by breaking down the logic of coding tasks, such as creating a neural network or a JavaScript event listener, which helps users build a strong foundation in programming.

💡Software Developer

A software developer is a professional who designs, develops, and tests software applications. The video suggests that the traditional path to becoming a software developer often leads to failure due to the overwhelming amount of technical details. Instead, it proposes using DeepSeek-R1 to learn the essential logic of coding, which is a more effective way to become a software developer.

💡Programming Logic

Programming logic involves the reasoning and steps required to solve a problem using code. The video highlights that understanding programming logic is more important than memorizing syntax. DeepSeek-R1 assists users by explaining the logic behind various coding tasks, such as building a snake game or creating a neural network, which helps users develop the ability to approach and solve new problems.

💡Syntax

Syntax refers to the rules and structure of a programming language, including how to write code correctly. While syntax is important, the video argues that focusing solely on syntax without understanding the underlying logic leads to failure. DeepSeek-R1 helps users by explaining the logic first, making syntax learning a secondary but necessary step.

💡Neural Network

A neural network is a type of artificial intelligence modeled after the human brain, used for recognizing patterns and solving complex problems. The video mentions that DeepSeek-R1 can explain the logic behind writing a neural network in Python, which is a powerful example of how the tool can help users understand advanced programming concepts.

💡JavaScript Event Listener

A JavaScript event listener is a function that waits for a specific event to occur, such as a user clicking a button, and then executes a predefined action. The video uses this as an example to show how DeepSeek-R1 can explain the logic behind writing such code, helping users grasp the concept and apply it to their own projects.

💡React Components

React components are reusable pieces of code in the React library that define how a part of a user interface should look and behave. The video suggests that instead of taking a course, users can ask DeepSeek-R1 to create a React component, such as one for swiping mechanics in a dating app, and learn from the explained logic.

💡100 Days of Code Challenge

The 100 Days of Code Challenge is a community-driven initiative where participants commit to coding every day for 100 days, sharing their progress and learning from each other. The video recommends this challenge as a way to practice and improve coding skills, especially when combined with the insights provided by DeepSeek-R1.

💡Chain of Thought

Chain of Thought is a method used by DeepSeek-R1 to analyze and verify its responses by considering multiple perspectives and checking for errors. This approach, as mentioned in the video, makes DeepSeek-R1 more effective than other tools like ChatGPT, which is based on supervised learning. By using Chain of Thought, DeepSeek-R1 provides a deeper understanding of coding logic.

Highlights

Discovering the best way to learn to code in 2025

Typical way to learn coding often leads to failure

Importance of understanding what you want to build

Introduction to DeepSeek-R1 for building projects

DeepSeek-R1 provides thinking process behind coding

Learning logic is more important than syntax

DeepSeek-R1 helps build programming logic

Avoiding the pitfall of just learning syntax

Using DeepSeek-R1 to create React components

Learning to code from scratch with DeepSeek-R1

Difference between DeepSeek-R1 and ChatGPT

DeepSeek-R1 uses reinforcement learning

DeepSeek-R1's Chain of Thought thinking process

Engaging in the 100 days of code challenge

Building the muscle of thinking about logic