Fundamentals 12 min read

Comprehensive Programming Course Curriculum Overview

This article presents a detailed curriculum covering programming fundamentals, web development (HTML, CSS, JavaScript, jQuery), backend frameworks (Flask, Django), database concepts, data analysis with Python (NumPy, pandas, matplotlib, seaborn), machine learning, AI, and related project tutorials, along with a brief promotional note.

Practical DevOps Architecture
Practical DevOps Architecture
Practical DevOps Architecture
Comprehensive Programming Course Curriculum Overview

This document lists a comprehensive programming course curriculum, starting with an introduction and a WeChat mini‑program ordering project, followed by Python basics (variables, operators, control flow, functions, file I/O) and database operations using pymysql.

It then covers front‑end fundamentals such as HTML tags, forms, tables, CSS selectors, layout techniques, and JavaScript basics (data types, statements, loops, operators, timers). Subsequent sections introduce jQuery (selectors, events, effects, DOM manipulation) and HTTP protocol concepts.

Later modules focus on web scraping (requests, BeautifulSoup, xpath, proxy pools, session handling, Scrapy) and Flask development (setup, routing, request/response, cookies, sessions, blueprints, file upload, testing, SQLAlchemy integration). The curriculum also includes WeChat development (authorization, token handling) and Django (MVC/MTV, models, migrations, templates, admin).

Data science topics are covered extensively: NumPy introduction and operations, pandas data structures and manipulation, matplotlib and seaborn visualizations, and advanced data handling (CSV/Excel I/O, statistical analysis). Machine learning sections introduce algorithms such as k‑Nearest Neighbors, decision trees, random forests, Naïve Bayes, PCA, cross‑validation, and model evaluation, applied to examples like Titanic survival prediction and stock price forecasting.

Additional subjects include face‑recognition setup, image processing with OpenCV (reading, filtering, transformations), and a brief note on cloud‑related concepts. The article concludes with a promotional message encouraging likes, shares, and a 9.9 yuan course offer with a comment‑based access code.

machine learningProgrammingWeb DevelopmentData Sciencecurriculum
Practical DevOps Architecture
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Practical DevOps Architecture

Hands‑on DevOps operations using Docker, K8s, Jenkins, and Ansible—empowering ops professionals to grow together through sharing, discussion, knowledge consolidation, and continuous improvement.

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