我是初中生,所以在处理 pull requests 与 issues 时也许效率会很低,见谅。:)
I'm a junior high school student, so I might be quite inefficient when dealing with pull requests and issues. Please excuse me. :)
#include <stdio.h>
struct Skills {
struct Languages {
const char* proficient[6];
const char* familiar[4];
const char* exploring[5];
} languages;
struct Frontend {
const char* frameworks_libraries[4];
const char* styling[5];
const char* state_management[3];
const char* tools[3];
} frontend;
struct Backend {
const char* frameworks_runtime[4];
const char* databases[4];
const char* orms[3];
const char* apis[2];
} backend;
struct DataScience {
const char* libraries[2];
const char* tools[2];
} data_science;
struct DevOpsAndCloud {
const char* containerization[2];
const char* ci_cd[1];
const char* cloud_platforms[3];
} devops;
struct ToolsAndEnvironment {
const char* version_control[2];
const char* editors_ides[3];
const char* operating_systems[3];
const char* design_tools[2];
} tools;
};
struct AboutMe {
const char* name;
const int age;
const char* gender;
const char* interests[5];
struct Skills skills;
};
struct AboutMe me = {
.name = "imbue",
.age = 14,
.gender = "Female",
.interests = {
"Competitive Programming",
"Full-Stack Development",
"Open Source Contribution",
"UI/UX Design",
"Algorithm Design"
},
.skills = {
.languages = {
.proficient = { "C++", "Python", "JavaScript", "TypeScript", "HTML5", "CSS3" },
.familiar = { "Rust", "Go", "Java", "SQL" },
.exploring = { "Haskell", "Lisp", "C", "x86 Assembly", "QASM" }
},
.frontend = {
.frameworks_libraries = { "React", "Next.js", "Vue.js", "Svelte" },
.styling = { "Tailwind CSS", "Sass/SCSS", "Bootstrap", "Material-UI", "Styled-components" },
.state_management = { "Redux", "Zustand", "Pinia" },
.tools = { "Vite", "Webpack", "Babel" }
},
.backend = {
.frameworks_runtime = { "Node.js", "Express.js", "FastAPI (Python)", "Actix Web (Rust)" },
.databases = { "PostgreSQL", "MySQL", "MongoDB", "Redis" },
.orms = { "Prisma", "SQLAlchemy (Python)", "Sequelize" },
.apis = { "RESTful APIs", "GraphQL (Apollo)" }
},
.data_science = {
.libraries = { "Python (NumPy, Pandas, Matplotlib, Scikit-learn)", "R (ggplot2)" },
.tools = { "Jupyter Notebook", "SQL" }
},
.devops = {
.containerization = { "Docker", "Docker Compose" },
.ci_cd = { "GitHub Actions" },
.cloud_platforms = { "Vercel", "Netlify", "AWS (EC2, S3) - Basic" }
},
.tools = {
.version_control = { "Git", "GitHub" },
.editors_ides = { "VS Code", "Neovim", "JetBrains IDEs" },
.operating_systems = { "Linux (Ubuntu, Arch, CentOS, Rocky Linux)", "Windows (with WSL2)", "macOS" },
.design_tools = { "Figma", "Adobe XD" }
}
}
};