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
您将获得的技能: Node.JS, Back-End Web Development, Package and Software Management, JavaScript Frameworks, Other Programming Languages, Javascript, Web Servers, Servers, Program Development, Web Development, Development Environment
状态：新状态：免费试用您将获得的技能: MongoDB, Back-End Web Development, NoSQL, Data Transformation, Data Maintenance, Database Design, Databases, Data Cleansing, Data Manipulation, JSON, Development Environment
状态：免费试用您将获得的技能: GitLab, AI Workflows, Code Review, Integrated Development Environments, Computer Programming Tools, Development Environment, Debugging
状态：免费试用您将获得的技能: Data Structures, Algorithms, Computer Programming, Computational Thinking, Program Development, Technical Design, Debugging, Problem Solving, Performance Tuning
状态：预览Scrimba
您将获得的技能: Vector Databases, Retrieval-Augmented Generation, LangChain, Embeddings, LLM Application, Tool Calling, Prompt Engineering, AI Workflows, Artificial Intelligence, Generative AI
状态：免费试用您将获得的技能: Natural Language Processing, Recurrent Neural Networks (RNNs), Embeddings, Transfer Learning, Data Pipelines, Data Preprocessing, Artificial Neural Networks, Unstructured Data, Machine Learning Methods, Machine Learning
您将获得的技能: Tensorflow, Keras (Neural Network Library), Artificial Neural Networks, Deep Learning, Machine Learning Methods, Python Programming
您将获得的技能: Calculus, Applied Mathematics, NumPy, Machine Learning Algorithms, Data Science, Tensorflow, Python Programming, Derivatives, Algorithms, Development Environment
状态：新您将获得的技能: Interoperability, Data Transformation, Secure Coding, Python Programming
状态：预览University of Michigan
您将获得的技能: SQL, Database Management, Database Design, Databases, Relational Databases, Web Scraping, Data Modeling, Data Visualization Software, Object Oriented Programming (OOP), Data Processing, Object Oriented Design, Python Programming, Data Collection
您将获得的技能: Data Visualization, Matplotlib, Plot (Graphics), Exploratory Data Analysis, Text Mining, Model Evaluation, Classification Algorithms, Applied Machine Learning, Data Cleansing, Scikit Learn (Machine Learning Library), Data Preprocessing, Natural Language Processing, Machine Learning, Unstructured Data, Data Analysis, Data Manipulation, Python Programming, Computer Science
状态：预览您将获得的技能: Responsible AI, Data Ethics, Artificial Intelligence, Compliance Management, Risk Mitigation, OpenAI, Mitigation, Ethical Standards And Conduct, Model Evaluation, Auditing, Governance
总之，以下是 10 最受欢迎的 python 课程
- Node.js backend básico con buenas prácticas.: Coursera
- PyMongo Case Study - Restaurant Management System: EDUCBA
- GitLab AI: Mastering AI Pair Programming with GitLab Duo: Coursera
- Interview Questions and Real-World Applications: Packt
- Intro to Mistral AI: Scrimba
- NVIDIA: Fundamentals of NLP and Transformers : Whizlabs
- Deep-Dive into Tensorflow Activation Functions: Coursera
- Matrix Calculus for Data Science & Machine Learning: Packt
- Data Representation and Serialization: Packt
- Python에서 데이터베이스 사용하기: University of Michigan
