DeepSeek Coding Plan Tutorial: API Call + Local Deployment, 2 Ways to Play - Can't Learn Both? I'll Beat You

2026-04-22

Brothers!!!

DeepSeek Coding Plan tutorial is here.

I'm Programmer Wan Feng, 300k+ followers across platforms, author of the python-office open source project.

Today I'll teach you 2 ways to play:

API Call (simple and fast)
Local Deployment (save money and free)

Choose based on your situation.

🚀 Way 1: API Call

Step 1: Get API Key

Visit DeepSeek official website
Register an account
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": "Help me write a Python quicksort"}
    ]
)

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

Step 3: Integrate with IDE

Supports VS Code, JetBrains and other mainstream IDEs.

💻 Way 2: Local Deployment

Recommended for those with some technical skills.

Benefits:

No API call fees
Completely private data
Can be used offline

Hardware Requirements

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

Deployment Steps

1. Install Ollama

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

2. Download Model

1	ollama pull deepseek-coder:6.7b

3. Run

1	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": "Help me write a Python quicksort"}
    ]
)

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

📊 Comparison of Two Methods

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

🎯 How to Choose?

Want to get started quickly → API Call
Pursuing lowest cost → Local Deployment
Have technical skills → Local Deployment
Don't want to tinker → API Call

📚 Want to Learn More?

Also welcome to the "30 Lectures · AI Programming Training Camp" that I collaborated with Turing Community on. 30 systematic lectures + 15+ practical projects, I'll take you from 0 to 1 in mastering AI programming.

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💡 Finally

The 2 ways to play DeepSeek have no superiority or inferiority, only suitability or unsuitability.

Just choose based on your situation.

I'm Programmer Wan Feng, see you next time.

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

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