|
所在平台: Udemy |
课程主页: https://www.udemy.com/course/learn-streamlit-python/
课程评论：没有评论
课程名称：学习Streamlit Python 课程概要：您是否在尝试为数据科学项目构建网络应用时遇到困难？是否花费了大量时间试图创建一个简单的最小可行产品（MVP）应用以展示给客户？那么让我向您介绍Streamlit——一个用于构建网络应用的Python框架。欢迎来到这个在线学习资源，帮助您使用Streamlit框架和Python创建数据科学应用和机器学习网络应用。 本课程将教授您Streamlit，这个Python框架不仅可以节省您在创建数据科学和机器学习网络应用上的时间，本课程将涵盖Streamlit的基础知识和关键功能，包括： - Streamlit的基础和基本概念 - 文本处理 - 组件的使用（按钮、滑块等） - 数据展示 - 图表和绘图展示 - 媒体文件处理（音频、图像、视频） - Streamlit布局 - 文件上传 - 静态组件的使用 - 创建酷炫的数据可视化应用 - 使用Streamlit构建完整的网络应用 通过参加这个令人兴奋的课程，您将能够在几个小时内构建数据科学应用，而不是几天。您还将学习如何将机器学习模型转化为Web应用，建立一些有趣和实用的数据应用，并使用Docker、Heroku、Streamlit Share等进行应用部署。 在学习过程中，请与课程内容一起编写或编码，而不仅仅是观看，这将增强您的理解。如果您觉得视频播放速度太快，可以根据需要调节速度和音频，建议设定为-0.75倍速。本课程适合有Python基础的学习者，不论您是初学者还是专业人士，我们都将尽力涵盖相关概念。 加入我们，一起探讨构建数据和机器学习应用的世界。期待在课程中见到您！祝您学习愉快！
Are you having difficulties trying to build web applications for your data science projects? Do you spend more time trying to create a simple MVP app with your data to show your clients and others? Then let me introduce you to Streamlit - a python framework for building web apps.Welcome to the coolest online resource for learning how to create Data Science Apps and Machine Learning Web Apps using theawesome Streamlit Framework and Python.This course will teach you Streamlit - the python framework that saves you from spending days and weeks in creatingdata science and machine learning web applications. In this course we will cover everything you need to know concerning streamlit such asFundamentals and the Basics of Streamlit ;- Working with Text- Working with Widgets (Buttons,Sliders,- Displaying Data- Displaying Charts and Plots - Working with Media Files (Audio,Images,Video)- Streamlit Layouts- File Uploads- Streamlit Static ComponentsCreating cool data visualization appsHow to Build A Full Web Application with StreamlitBy the end of this exciting course you will be able to Build data science apps in hours not daysProductionized your machine learning models into web apps using streamlitBuild some cools and fun data appsDeploy your streamlit apps using Docker,Heroku,Streamlit Share and moreJoin us as we explore the world of building Data and ML Apps.See you in the Course,Stay blessed.Tips for getting through the coursePlease write or code along with us do not just watch,this will enhance your understanding.You can regulate the speed and audio of the video as you wish,preferably at -0.75x if the speed is too fast for you.Suggested Prerequisites is understanding of PythonThis course is about Streamlit an ML Framework to create data apps in hours not weeks. We will try our best to cover some concepts for the beginner and the pro.
