XUE.cn（学点编程）零基础编程自学平台 1.4.4

This platform offers a carefully curated selection of self-learning resources tailored for beginners, featuring over 1,200 programming exercises, a novice-friendly discussion community, and various supportive tools for independent study.

The journey of self-directed learning involves a systematic process—reading, practicing, applying, and creating—which enables learners to gradually acquire programming skills and master the invaluable art of "self-learning."

Dedicating just half an hour each day can lead to significant self-learning accomplishments in Python within two months:

• Familiarity with fundamental concepts such as variables, operations, control flow, functions, and file handling.
• Writing thousands of lines of code through chapter exercises.
• Developing the ability to understand most Python code.
• Gaining confidence in interpreting and reading official documentation.

Lifelong learning is essential in today's world. Competence in foundational programming skills will increase your value and competitiveness in the job market. Despite the common perception that programming is challenging, it is indeed a skill that everyone should acquire.

However, mere anxiety is unproductive; such feelings may lead to misguided efforts. Mastering any skill fundamentally requires the power of accumulation. Programming is particularly well-suited for self-study as the field evolves rapidly. Without traditional instructors, learners must engage directly with official documentation and others’ code to learn through practical application; this is the only path available.

The best ways to teach yourself to code involve a simple mantra: READ. PRACTICE. BUILD.

• An interactive cloud-based learning environment powered by Jupyter Notebook allows users to read and code simultaneously, running and modifying provided code examples directly within the reading interface.
• Fifty-five beginner-friendly resources covering topics such as Python, JavaScript, Go, Big Data and Artificial Intelligence, and Data Analysis support initial learning and skill enhancement.
• More than 1,200 accompanying exercises illuminate key knowledge points that may have been overlooked. Additionally, programming challenges with open-ended solutions encourage hands-on engagement, critical thinking, and collaborative discussions.
• A welcoming atmosphere for self-learners promotes valuable discussions around chapters and exercises, facilitating the sharing of learning strategies and creative solutions. The adage “to teach is to learn” embodies this principle.
• Self-study support tools include daily check-ins for tracking progress, reflective notes on learning experiences, MyCode documentation, and problem-solving challenges. A comprehensive system of achievement badges and learning data reports presents a clear trajectory of self-learning growth.