A Python developer reviews three years of real-world experience using Deepin from 20.9 to v23. This article focuses on UI design, the native toolchain, file management, stability, and compatibility issues, then explains the decision logic behind moving to Ubuntu. Keywords: Deepin, Python development, Linux desktop.
Technical Specifications Snapshot
| Parameter | Details |
|---|---|
| Operating System | deepin 20.9, deepin v23 beta, deepin v23 stable |
| Primary User Role | Python developer |
| Core Scenarios | IDE development, file management, daily desktop work, algorithm task execution |
| Graphical Interface | Deepin Desktop Environment (DDE) |
| Common Tools | PyCharm, VS Code, uTools, System Monitor, text editor |
| Software Distribution | deb packages, graphical installation, root authorization |
| Protocols / Ecosystem | Linux desktop, APT/deb ecosystem |
| Star Count | Not provided in the original article |
| Core Dependencies | DDE, dock, Control Center, file manager, system authorization components |
This is a Deepin Retrospective from a Real Development Environment
The original text is not a product brochure. It is a personal engineering record from a long-term user. Since starting work, the author has used Deepin as the only primary Linux development system for an extended period. That gives the article value not because it lists specifications, but because it exposes long-term stability, interaction details, and real development friction.
From a timeline perspective, the experience spans from deepin 20.9 to deepin v23. Early versions created a strong first impression with a clean, modern, design-forward desktop. The v23 beta further improved the UI, first-party apps, and overall tooling completeness. However, the stable release changed the dock design and introduced stability problems that ultimately changed the author’s platform choice.
The Deepin version experience falls into three phases
# Check the current system version information
cat /etc/os-release # Core idea: confirm the distribution version such as deepin or Ubuntu
uname -a # Core idea: supplement kernel and architecture details
lsb_release -a # Core idea: get a more complete distribution descriptionThese commands help you quickly confirm the version and kernel state of a desktop Linux environment.
Deepin’s First Real Advantage Is the Desktop Experience and Native Tool Integration
What first attracted the author to Deepin was not the “domestic OS” label, but the overall completeness of the desktop experience. During the deepin 20.9 era, although the current Control Center architecture did not yet exist, the sidebar-based control model already showed a clear interaction path and a consistent visual language.
AI Visual Insight: The image shows the main Deepin v23 desktop interface, highlighting rounded window corners, a unified icon style, translucent panels, and generous top spacing. This suggests that Deepin targets consumer-grade desktop aesthetics rather than the utilitarian interface style common in traditional Linux distributions.
After entering the v23 beta cycle, this advantage became even more obvious. New first-party apps, unified visual components, and more mature system tools made it more than just a usable Linux distribution. It became an out-of-the-box desktop development environment.
AI Visual Insight: The image focuses on the combination of the dock, desktop layout, and file entry points. Task switching and application launching clearly depend heavily on the bottom bar design, which explains why the author reacted strongly to the dock changing from a macOS-like style to a Windows-like one.
The value of native tools comes from low learning cost and high-frequency accessibility
The author highlights three features in particular: the file system experience, the clipboard tool, and automatic desktop organization. These may look peripheral to development, but for developers who constantly copy commands, organize scripts, and switch between project files, they act as real productivity multipliers.
tools = {
"clipboard": "Quickly open clipboard history with a shortcut", # Core idea: reduce repeated copy-and-paste overhead
"desktop_sort": "Automatically organize desktop files by type", # Core idea: reduce desktop noise
"editor": "Recover content even after an unexpected exit", # Core idea: reduce the risk of text loss
}
for name, value in tools.items():
print(f"{name}: {value}") # Core idea: demonstrate the productivity value of high-frequency desktop toolsThis example abstracts the native Deepin capabilities the author values most: reducing the overhead of fragmented operations.
File Management and Control Center Form Deepin’s Daily Productivity Moat
Many screenshots in the original article revolve around “installed software,” “the file system,” and “Control Center.” That shows the author’s approval comes first from whether everyday interaction flows feel natural. Deepin does build a differentiated experience compared with most Linux desktops in file browsing, desktop organization, and centralized system settings.
AI Visual Insight: This image appears to show the system-level clipboard history panel, usually with multiple cached entries, shortcut-based invocation, and quick paste actions. It solves the inefficiency of frequently moving commands and code snippets across terminals, editors, and browsers.
AI Visual Insight: This image shows automatic desktop file categorization, likely grouping items by type such as documents, archives, and images. In development environments with many sample files, logs, and downloaded dependency packages, this kind of auto-organization can significantly reduce visual noise.
AI Visual Insight: This image shows the unified Control Center entry point, typically integrating settings for networking, display, Bluetooth, personalization, and accounts. Technically, it represents convergence of system configuration entry points, reducing the cost of switching across multiple modules.
Development Tool Compatibility and System Stability Ultimately Decide Long-Term Viability
What ultimately changed the author’s decision was not aesthetics, but system reliability under real development workloads. The problems fall into three main categories: proxy tool compatibility, IDE indexing that causes the system to hang, and full-system freezes during GPU-based algorithm tasks.
For today’s developers, none of these are edge cases. The large-model era brings more frequent use of network proxies. PyCharm indexing is normal behavior for a Java-based IDE. Algorithm workloads involve GPU drivers, kernel scheduling, and competition with desktop processes. If any one of these remains persistently unstable, even an excellent desktop experience cannot offset the cost.
# If the dock becomes unresponsive, first locate and restart related processes
ps -ef | grep -i dock # Core idea: find dock-related processes
pkill -f dock # Core idea: terminate the abnormal dock process
nohup dde-dock >/tmp/dock.log 2>&1 & # Core idea: manually try to relaunch the dockThese commands correspond to a real workaround described in the original article: when a desktop component fails, you may need to kill the process manually to recover it.
Authorization dialogs and graphical installation issues reveal the friction at the desktop system boundary
The author mentions that the administrator authorization dialog sometimes could neither accept input nor be closed, which effectively ruled out the graphical path for installing deb packages. On the surface, this looks like a broken popup. In practice, it points to insufficient coordination across privilege escalation, input focus management, and desktop session stability.
AI Visual Insight: The image likely shows a frozen authentication dialog. Technically, it suggests the graphical authorization chain is blocked: the window remains in the foreground, but input events are not received correctly, so the user can neither confirm nor close it and must fall back to terminal-level process handling.
The Move to Ubuntu Reflects How Developers Prioritize Their Environment Choices
The author ultimately moved to Ubuntu, not because Ubuntu is more visually appealing, but because it offers more predictable stability in team collaboration, closer alignment with server environments, broader documentation coverage, and stronger compatibility expectations. For developers, platform choice often follows a simple formula: stability > compatibility > visual design > personal preference.
That is also the article’s most useful conclusion. Deepin fits users who value desktop experience, Chinese-language ecosystem support, and out-of-the-box tools. But if your daily work depends on proxies, heavy IDE usage, large-model service access, GPU computing, and long uninterrupted runtimes, a distribution with a deeper ecosystem foundation such as Ubuntu is usually the lower-friction choice.
# Export key development environment information before migration
pip freeze > requirements.txt # Core idea: export Python dependencies
code --list-extensions > vscode-extensions.txt # Core idea: back up VS Code extensions
dpkg --get-selections > packages.txt # Core idea: export the list of installed system packagesThese commands can help you migrate smoothly from Deepin to Ubuntu or another Debian-based distribution.
FAQ
Q1: Is Deepin suitable as a primary system for Python developers?
It works well for light to moderate development scenarios, especially for users who value desktop aesthetics, a Chinese-language experience, and native tool integration. If you rely heavily on PyCharm, model-access proxies, or GPU computing, you should validate stability carefully.
Q2: Which Deepin capabilities did the author value most?
The core strengths are a polished UI, practical file management, a highly accessible clipboard tool, strong desktop organization, and a native text editor with solid crash recovery behavior.
Q3: Why did the author ultimately migrate to Ubuntu?
Because long-term use exposed issues with proxy compatibility, dock freezes, broken authentication dialogs, abnormal restart behavior, and GPU-task freezes. By comparison, Ubuntu proved more stable for development ecosystems and team collaboration.
AI Readability Summary
Based on a real three-year record from a frontline developer, this article systematically reviews Deepin’s interface experience, native tools, file management, and stability in Python development scenarios. It also summarizes the key changes from deepin 20.9 to v23, common failure modes, and the rationale for migrating to Ubuntu.