Python 课程
Python 课程可以帮助您学习编程基础、数据分析、网络开发和自动化技术。您可以掌握编写 Cleaning 代码、调试以及使用 Pandas 和 NumPy 等库进行数据处理的技能。许多课程还介绍了用于网络应用的 Flask 和 Django 等框架，以及用于交互式编码和可视化的 Jupyter Notebook 等工具。这些技能和工具对于解决数据科学、软件开发和人工智能方面的项目至关重要。
热门 Python 课程和认证
University of California San Diego
您将获得的技能: Python 程序设计, 可扩展性, 数据科学, Apache Hadoop, 分布式计算, 数据处理, PySpark, Apache Spark, 数据基础设施, 数据分析, 性能调整, 数据存储, 大数据
状态：新状态：免费试用您将获得的技能: Authentications, OAuth, Back-End Web Development, Event-Driven Programming, Database Management, Databases, Authorization (Computing), Redis, Secure Coding, Application Programming Interface (API), Restful API, Email Automation, Data Migration
状态：新状态：免费试用您将获得的技能: AI Orchestration, Model Deployment, AI Workflows, Agentic Workflows, Generative AI Agents, Agentic systems, AI Security, Artificial Intelligence, Prompt Engineering, Generative AI, Product Support, OpenAI API, Retrieval-Augmented Generation
状态：免费试用École Polytechnique Fédérale de Lausanne
您将获得的技能: 分布式计算, Scala 编程, 数据持久性, Apache Spark, SQL, 数据处理, 性能调整, 数据操作, 大数据, 数据分析
状态：新您将获得的技能: CI/CD, Build Tools, DevOps
状态：新状态：免费试用您将获得的技能: Seaborn, Data Literacy, Plot (Graphics), Matplotlib, Scatter Plots, Statistical Visualization, Data Presentation, Data Visualization Software, Data Visualization, Box Plots, Exploratory Data Analysis, Data Storytelling, Data Processing, Data-Driven Decision-Making, Statistical Modeling, Statistical Analysis, Descriptive Statistics, Pandas (Python Package), NumPy, Python Programming
状态：新状态：免费试用您将获得的技能: Retrieval-Augmented Generation, AI Workflows, Model Deployment, Transfer Learning, Application Deployment, Embeddings, Vector Databases, Model Evaluation
状态：新状态：免费试用Edureka
您将获得的技能: Model Context Protocol, AI Orchestration, AI Personalization, OpenAI API, OpenAI, Cloud Deployment, Agentic systems, Application Deployment, Generative AI Agents, ChatGPT, System Monitoring, CI/CD, Context Management, Responsible AI, Artificial Intelligence, Generative AI, Development Testing
状态：免费试用您将获得的技能: Data Storytelling, Data Visualization, Exploratory Data Analysis, Data Visualization Software, Data Manipulation, Data Ethics, Tableau Software, Data Analysis, Pandas (Python Package), Data Cleansing, Data Preprocessing, Data Validation, Technical Communication, Data Transformation, Python Programming
IBM
您将获得的技能: Machine Learning 方法, 逻辑回归, 卷积神经网络, 计算机视觉, 迁移学习, 深度学习, 模型部署, 分类算法, Jupyter, 机器学习算法, IBM 云, 可视化（计算机制图）
状态：新状态：免费试用您将获得的技能: AI Workflows, AI Orchestration, Agentic Workflows, Model Deployment, AI Security, Decision Making
状态：预览University of Washington
您将获得的技能: 概率分布, 生物学, Machine Learning 方法, 人工神经网络, 线性代数, 生理学, 网络模型, 计算思维, 强化学习, 神经学, 计算机科学, 数学建模, 监督学习, Matlab, 机器学习算法, 递归神经网络 (RNN)
总之，以下是 10 最受欢迎的 python 课程
- Hadoop 平台和应用框架: University of California San Diego
- Intermediate Backend Development with FastAPI: Packt
- AI Agent Orchestration and Scaling: Edureka
- 使用 Scala 和 Spark 进行大数据分析: École Polytechnique Fédérale de Lausanne
- Cloud Native Buildpacks – Hands-on for Beginners: Packt
- Seaborn Python Data Visualization & Analysis: EDUCBA
- Building and Fine-Tuning LLM Applications: Packt
- Deploy AI Agents with OpenAI: Edureka
- Go Beyond the Numbers: Translate Data into Insights: Google
- 计算机视觉和图像处理入门: IBM
