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: Test Driven Development (TDD), Unit Testing, Testability, Functional Testing, Test Case, Software Testing, Python Programming, File I/O, File Systems
您将获得的技能: Continuous Integration, Test Automation, Authentications, CI/CD, Test Script Development, API Testing, Software Testing, Unit Testing, Behavior-Driven Development, Web Development Tools, Test Case, GitHub, User Interface (UI)
状态：免费试用University of Michigan
您将获得的技能: Animation and Game Design, Visualization (Computer Graphics), Generative AI, Simulations, Computer Graphics, Python Programming, Object Oriented Programming (OOP), Computer Programming Tools, Algorithms
状态：新状态：免费试用您将获得的技能: Debugging, Integrated Development Environments, Data Validation, Web Applications, Scripting, Development Environment, Object Oriented Programming (OOP), Django (Web Framework), Software Testing, Web Development, Customer Data Management, Data Structures, Program Development, Scripting Languages, Business Logic, Financial Data, User Interface (UI), Python Programming, Software Development Methodologies, Programming Principles
状态：免费试用您将获得的技能: Forecasting, Time Series Analysis and Forecasting, Trend Analysis, Predictive Analytics, Advanced Analytics, Statistical Analysis, Business Analytics, Data-Driven Decision-Making, Strategic Decision-Making, Exploratory Data Analysis, Model Evaluation, Pandas (Python Package), Matplotlib, Performance Metric
状态：预览University of Michigan
您将获得的技能: Web Scraping, JSON, Extensible Markup Language (XML), Network Protocols, Data Access, Application Programming Interface (API), Restful API, Data Processing, Hypertext Markup Language (HTML), Scripting, Python Programming, Development Environment, Software Installation
状态：免费试用University of Colorado Boulder
您将获得的技能: Pandas (Python Package), NumPy, Data Structures, Data Import/Export, Data Manipulation, Data Cleansing, Statistical Methods, Data Analysis, Exploratory Data Analysis
状态：免费试用University of Michigan
您将获得的技能: Object Oriented Programming (OOP), Software Design, Program Development, Data Structures, Visualization (Computer Graphics), Graphic and Visual Design, Computer Graphics, Creative Design, Python Programming, Algorithms, Linear Algebra, Simulations, Spatial Analysis
状态：新您将获得的技能: Flask (Web Framework), Restful API, Software Testing, Databases, Software Quality (SQA/SQC), JSON, Application Programming Interface (API), MongoDB, Full-Stack Web Development, Web Applications, NoSQL, Back-End Web Development, Python Programming, Maintainability, Application Deployment, Data Validation, Authentications
状态：免费试用University of Colorado Boulder
您将获得的技能: Classification Algorithms, Dimensionality Reduction, Data Analysis, Supervised Learning, Anomaly Detection, Machine Learning, Statistical Analysis, Unsupervised Learning, Data Mining, Analytics, Predictive Modeling, Model Evaluation, Regression Analysis, Exploratory Data Analysis, Project Planning, Feature Engineering
您将获得的技能: Data Structures, File I/O, Network Routing, Computer Networking, Object Oriented Programming (OOP), Python Programming, Network Routers, Algorithms, Computer Programming
状态：免费试用您将获得的技能: Text Mining, Large Language Modeling, Natural Language Processing, Data Processing, LLM Application, Python Programming
总之，以下是 10 最受欢迎的 python 课程
- Use Python Unit Test to Demonstrate TDD: Coursera
- Playwright Python and Pytest for Web Automation Testing: Packt
- Creative Coding for Designers Using Python: University of Michigan
- Python Scripting Masterclass: From Basics to Real Projects: EDUCBA
- Time Series Mastery: Forecasting with ETS, ARIMA, Python: Coursera
- Использование языка Python для доступа к веб-данным: University of Michigan
- BiteSize Python: NumPy and Pandas: University of Colorado Boulder
- Data Structures for Designers Using Python: University of Michigan
- Building Web Applications with Flask: Packt
- Data Analysis with Python Project : University of Colorado Boulder
