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

Ishan Sharma
27 Jan 202506:52

TLDRThis video reveals the easiest way to learn coding in 2025 using DeepSeek-R1. Instead of traditional methods that often lead to failure, the speaker suggests starting by deciding what you want to build, like a snake game. Then, ask DeepSeek-R1 to build it for you. DeepSeek-R1 is a chat app that not only provides code but also explains its thinking process, helping you understand the logic behind programming. This method focuses on building logic rather than just learning syntax. By constantly trying to build something, analyzing the logic, and correcting mistakes, you can master the basics of programming in just 7 to 20 days. The video also highlights the differences between DeepSeek-R1 and other tools like ChatGPT, emphasizing the benefits of reinforcement learning used in DeepSeek-R1.

Takeaways

  • ๐Ÿ˜€ The traditional method of learning to code often leads to failure for most people.
  • ๐Ÿ˜€ DeepSeek-R1 offers a new way to learn coding by focusing on understanding logic rather than just syntax.
  • ๐Ÿ˜€ To start learning, decide what you want to build, such as a dating app, streaming service, or a simple game.
  • ๐Ÿ˜€ Ask DeepSeek-R1 to build your project and observe its thinking process to understand the logic.
  • ๐Ÿ˜€ The thinking part of DeepSeek-R1's responses helps build the logic needed for future coding tasks.
  • ๐Ÿ˜€ Learning to code should focus on understanding fundamental programming principles rather than just memorizing syntax.
  • ๐Ÿ˜€ DeepSeek-R1 can help create various components and projects, such as React components or neural networks, and explain the logic behind them.
  • ๐Ÿ˜€ Writing code from scratch and then comparing it with DeepSeek-R1's answers helps in learning and improving coding skills.
  • ๐Ÿ˜€ Tools like Cursor and GitHub Co-Pilot may hinder learning by not encouraging coding from scratch.
  • ๐Ÿ˜€ Using DeepSeek-R1 and constantly practicing by building projects and checking logic can help master programming basics in 7 to 20 days.
  • ๐Ÿ˜€ DeepSeek-R1 uses reinforcement learning, which makes it more effective in providing detailed and checked thinking processes compared to models like ChatGPT.
  • ๐Ÿ˜€ Engaging in the 100 Days of Code challenge and sharing progress on social media can enhance learning and community interaction.

Q & A

  • What is the typical way most people try to learn coding, and why does it often fail?

    -The typical way is to buy a course, attend classes, and learn about syntax, loops, functions, objects, and classes. It often fails because most people cannot watch all the tutorials, have doubts along the way, and don't know how to address them, leading to failure.

  • What is the first step in the new method of learning to code presented in the script?

    -The first step is to figure out what you want to build, such as a dating app, streaming service, or a simple snake game.

  • What is DeepSeek-R1, and how does it help in learning to code?

    -DeepSeek-R1 is a chat app based on a large language model. It helps by thinking through the problem and explaining its thought process before providing the code. This helps learners understand the logic behind coding.

  • 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 coding challenges.

  • How does DeepSeek-R1's reinforcement learning differ from ChatGPT's supervised learning?

    -DeepSeek-R1 uses reinforcement learning, where it analyzes how to increase its score by checking and rechecking its responses. ChatGPT uses supervised learning, where it is given labeled data to learn from.

  • What is the '100 days of code' challenge, and how can it help in learning to code?

    -The '100 days of code' challenge involves building something interesting every day and sharing your progress on Twitter. It helps by allowing you to interact with the community, get feedback, and build the muscle of thinking about coding logic.

  • Why should one not rely solely on tools like Cursor and GitHub Co-Pilot when learning to code?

    -Relying solely on these tools can make you paralyzed as a software developer because you won't learn to code from scratch. Using DeepSeek-R1 helps you learn the basics and build logic.

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

    -It can take about 7 to 20 days to learn the basics of programming from scratch using DeepSeek-R1, depending on your dedication and practice.

  • What is the advantage of DeepSeek-R1's Chain of Thought thinking process?

    -DeepSeek-R1's Chain of Thought thinking process involves checking and rechecking its responses multiple times, giving it a new perspective and making it a better model to use for learning coding logic.

  • How can one get feedback on their code using DeepSeek-R1?

    -You can write your code, paste it in the chat, and ask DeepSeek-R1 where you went wrong or how to make it better. Its thinking capacity teaches you how to think about writing code.

Outlines

00:00

๐Ÿ˜€ Discovering the Best Way to Learn Coding in 2025

The speaker introduces a novel approach to learning coding in 2025, emphasizing the importance of understanding programming logic over memorizing syntax. They critique the traditional method of buying courses and learning syntax, which often leads to failure. Instead, they suggest starting with a clear goal, such as building a specific app or game. The speaker then introduces Deep Seek R1, a chat app that provides the thinking process behind coding solutions, which helps learners understand the logic. They explain that by focusing on the thinking part of the answers, learners can build the necessary logic to tackle new problems. The speaker also highlights the importance of practicing coding from scratch and using tools like Deep Seek R1 to learn and improve.

05:01

๐Ÿ˜€ The Power of Deep Seek R1 and the 100 Days of Code Challenge

The speaker delves deeper into the benefits of using Deep Seek R1, which is trained using reinforcement learning, making it more effective than models trained with supervised learning. They explain that Deep Seek R1 uses a Chain of Thought process, constantly checking and rechecking its responses to provide accurate and thoughtful answers. The speaker encourages viewers to take up the 100 Days of Code challenge, where they build something interesting every day and share their progress on Twitter. This not only helps in building a coding habit but also allows for community interaction and feedback. The speaker concludes by thanking the viewers, promising an in-depth video about Deep Seek R1, and encouraging them to subscribe to the channel.

Mindmap

Keywords

๐Ÿ’กDeepSeek-R1

DeepSeek-R1 is a coding assistant tool that helps users learn to code by providing step-by-step thinking processes and code examples. In the video, it is described as a simple chat app that, unlike traditional coding courses, focuses on teaching the logic behind coding rather than just syntax. For example, when asked to write code for a snake game in Python, DeepSeek-R1 thinks through the problem and explains its thought process before providing the code, which helps users understand the underlying logic.

๐Ÿ’กProgramming Logic

Programming logic refers to the reasoning and thought processes used to solve problems and create software. The video emphasizes that understanding programming logic is crucial for becoming a successful software developer. For instance, when DeepSeek-R1 is asked to write a neural network in Python, it explains the logic behind the code, helping users grasp the fundamental principles of programming logic, which is essential for approaching new problems and creating applications.

๐Ÿ’กSyntax

Syntax refers to the rules and structure of a programming language, such as the correct way to write code, use variables, and format comments. While syntax is important, the video suggests that focusing solely on syntax is not enough to become a proficient coder. Instead, understanding the logic behind the code is more critical. For example, many people who take coding courses learn the syntax but fail to build the necessary logic to solve new problems.

๐Ÿ’กSoftware Developer

A software developer is a professional who designs, creates, and maintains software applications. The video aims to guide viewers on how to become a software developer by emphasizing the importance of understanding programming logic and using tools like DeepSeek-R1 to learn from scratch. By constantly practicing and analyzing the thinking logic behind coding, aspiring developers can build the skills needed to create their own applications.

๐Ÿ’กChain of Thought

Chain of Thought is a method used by DeepSeek-R1 to analyze and solve problems. It involves thinking through a problem step-by-step, checking and double-checking the solution, and considering different perspectives. This approach helps ensure that the provided solution is accurate and reliable. For example, when asked to write a JavaScript event listener, DeepSeek-R1 uses Chain of Thought to explain its reasoning and provide a well-thought-out solution.

๐Ÿ’ก100 Days of Code Challenge

The 100 Days of Code Challenge is a popular initiative where participants commit to coding every day for 100 days. The video suggests that using DeepSeek-R1 in conjunction with this challenge can help new developers learn programming from scratch. By building something interesting each day and sharing progress on social media, participants can interact with the community, receive feedback, and enhance their coding skills.

๐Ÿ’กReinforcement Learning

Reinforcement learning is a type of machine learning where an agent learns to make decisions by receiving rewards or penalties for its actions. DeepSeek-R1 is trained using reinforcement learning, which allows it to improve its performance over time by analyzing its actions and adjusting its responses. This training method makes DeepSeek-R1 more effective at providing accurate and helpful solutions to coding problems.

๐Ÿ’กSupervised Learning

Supervised learning is a machine learning technique where the model is trained on labeled data, meaning the input data is paired with the correct output. The video contrasts supervised learning with reinforcement learning, explaining that while supervised learning is used to train models like ChatGPT, reinforcement learning is used for DeepSeek-R1. This distinction highlights the different approaches and capabilities of the two models.

๐Ÿ’กNeural Network

A neural network is a type of artificial intelligence modeled after the human brain, designed to recognize patterns and solve complex problems. In the video, DeepSeek-R1 is asked to write a neural network in Python, and it explains the logic behind the code. This example demonstrates how DeepSeek-R1 can help users understand the fundamental principles of creating neural networks, which is a key aspect of modern software development.

๐Ÿ’กReact Components

React components are reusable pieces of code in the React library, used to build user interfaces. The video mentions that instead of taking a course on React components, users can ask DeepSeek-R1 to create a React component for specific functionalities, such as swiping mechanics in a dating app. This approach allows users to learn by example and understand the logic behind creating React components from scratch.

Highlights

Discovering the best way to learn coding in 2025.

Typical learning methods lead to 90% failure.

Start by figuring out what you want to build.

Ask DeepSeek-R1 to build it for you.

DeepSeek-R1 is a chat app based on a large language model.

The magic of DeepSeek-R1 is in its thinking process.

Coding is about understanding logic, not just syntax.

DeepSeek-R1 builds logic by starting from first principles.

Learn by asking DeepSeek-R1 to write code for various tasks.

Focus on the thinking part of the answer to build logic.

Most coding courses fail to build fundamental programming logic.

DeepSeek-R1 can help you learn to create components from scratch.

The process of building, checking, and correcting teaches coding logic.

DeepSeek-R1 uses reinforcement learning, unlike ChatGPT.

DeepSeek-R1's Chain of Thought thinking provides a new perspective.

Take the 100 days of code challenge to build coding skills.

Share your journey on Twitter with #100daysofcode.

Syntax and rules can be learned later; focus on logic first.