DeepSeek Coding Plan Tutorial: API Call + Local Deployment, 2 Ways to Use It, If You Can't Learn You Can Blame Me

Hey everyone!!!

The DeepSeek Coding Plan tutorial is here.

I'm Programmer Wanfeng, with over 300k followers across the web, author of the python-office open source project.

Today I'll tell you 2 ways to use it:

1. API Call (simple and fast)
2. Local Deployment (cost-saving and flexible)

Choose according to your situation.

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🚀 Way 1: API Call

Step 1: Get API Key

1. Visit DeepSeek official website
2. Register an account
3. Get API Key

Step 2: Code Call

import openai

# Configure DeepSeek API
openai.api_base = "https://api.deepseek.com"
openai.api_key = "Your API Key"

# Call DeepSeek
response = openai.ChatCompletion.create(
    model="deepseek-chat",
    messages=[
        {"role": "user", "content": "Write a quick sort in Python for me"}
    ]
)

print(response.choices[0].message.content)

Step 3: Integrate with IDE

Supports mainstream IDEs such as VS Code, JetBrains, etc.

---

💻 Way 2: Local Deployment

For those with certain technical capabilities, local deployment is recommended.

Benefits:

• No API call fees
• Data is completely private
• Can be used offline

Hardware Requirements

Model Size	Minimum VRAM	Recommended Configuration
7B	6GB	GTX 1060+
13B	12GB	RTX 3060+
33B	24GB	RTX 4090+
67B	48GB	Multi-card server

Deployment Steps

1. Install Ollama

curl -fsSL https://ollama.com/install.sh | sh

2. Download Model

ollama pull deepseek-coder:6.7b

3. Run

ollama run deepseek-coder:6.7b

4. Call

import openai

openai.api_base = "http://localhost:11434/v1"
openai.api_key = "ollama"

response = openai.ChatCompletion.create(
    model="deepseek-coder:6.7b",
    messages=[
        {"role": "user", "content": "Write a quick sort in Python for me"}
    ]
)

print(response.choices[0].message.content)

---

📊 Comparison of Two Methods

Dimension	API Call	Local Deployment
Difficulty to Get Started	Low	Medium
Cost	API fees	One-time hardware investment
Data Security	Data in cloud	Completely private
Offline Available	❌	✅
Model Updates	Automatic	Manual

---

🎯 How to Choose?

• Want to get started quickly → API Call
• Pursue lowest cost → Local Deployment
• Have technical capabilities → Local Deployment
• Don't want to hassle → API Call

---

📚 Want to Learn More?

• DeepSeek Coding Plan Introduction
• Who Is DeepSeek Suitable For?
• DeepSeek vs Claude Code: Which Is Better?

You are also welcome to join the "30 Lectures · AI Programming Training Camp" that I collaborate on with Turing Community. 30 systematic courses + 15+ practical projects, I'll guide you to master AI programming from 0 to 1.

👉 Click to view training camp details

---

💡 Final Word

These two ways of using DeepSeek have no distinction between good and bad, only suitable or not.

Just choose according to your situation.

I'm Programmer Wanfeng, see you next time.

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*For more AI programming content, welcome to visit my website: https://www.python4office.cn/

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