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[테디노트] 한 방으로 끝내는 판다스Pandas (전자책 포함)
런어데이
판다스(Pandas)는 파이썬에서 가장 널리 쓰이는 라이브러리 가운데 하나입니다. 데이터 분석을 위한 필수 요소로 자리잡은 판다스, 여러분은 <한 방으로 끝내는 판다스> 강의를 통해 파이썬 데이터 분석의 필수 라이브러리인 판다스에 대한 모든 것을 학습할 수 있습니다.
초급
Pandas
BEST
Creating a Python Web App Using Streamlit
Build and share your own data analysis app quickly and easily using Streamlit!
Reviews from Early Learners
What you will learn!
Building a Data Analysis Web App with Streamlit
Data Visualization with Streamlit
Implementing Streamlit Web Apps Using Various APIs
Learn quickly and easily with projects,
Developing Streamlet web apps for data analysis!
What is Streamlit?
Streamlit is a tool that allows you to quickly implement a prototype-type web app using data . Its biggest advantage is that you can quickly and easily create a web form that can be visually verified by a data web application with simple functions.
Streamlit uses Python . Since it is a familiar Python environment for handling data, there is no resistance to using it, and it is simple because you just need to call the appropriate function after installing the Streamlit package.
Streamlit reads your Python script and runs a simple web server. You can see the results right away, and you can also see the changes in real time as you update your script.
The benefits of Streamlit!
- It's super easy to create demo web apps for data analysis reports, building dashboards, and deploying machine learning models.
- I can demonstrate the data analytics/machine learning services I have envisioned (or already built) to potential customers.
- Customers can directly upload the data they want and experience dynamic visualization (dashboard).
- It is possible to build services using machine learning models.
- Additionally, you can easily create web apps with simple Python coding.
Various Widgets Supported by Streamlit
You can easily create web apps with the widgets listed below.
Chart features supported by Streamlit
Build dashboards using simple yet powerful charting features.
Through this lecture
You can learn quickly and easily, from installing and configuring Streamlit to building various data-utilizing web apps using Streamlit.
📖 Check out the services created directly with Streamlit and learn how and what the process is like to create them!
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Automatically mass-produce blog posts with ChatGPT
📌 Demo Page (Go)
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File sharing service
📌 Demo Page (Go)
Drawing stock charts
Create your own chatbot
Create a lotto number generator
Creating an MBTI Encyclopedia
Please check before taking the class!
- The course focuses on projects and practical training so that even beginners can easily learn and follow along.
- Practical materials are provided separately along with the lectures.
- Videos related to this lecture can be found on our YouTube channel.
- In addition, in addition to the lectures uploaded to Teddy Note YouTube, we will continue to add paid content that can only be viewed on Inflearn.
- If you take a paid course at Inflearn, all proceeds will be donated to underprivileged children.
Instructor's Key Background
- Fast Campus Lecture - Python Data Analysis All-in-One Package for Working People Online.
- Fast Campus Byte Degree Project Review - Byte Degree: Machine Learning with Python.
- Fast Campus Data Analysis Capstone Project & Portfolio Completion Course Lecture.
- Daegu Digital Promotion Agency - AI Trend 2020 & Business Application Lecture
- SK Group Corporate (Python, Data Analysis, Machine Learning, TensorFlow) Lecture
- KT AI Education Center (Tensorflow Certification Course) Lecture
- Multicampus (Tensorflow Certification Course) Lecture
- Seoul National University Lifelong Education Center TensorFlow Developer Course Lecture
- Inflearn TensorFlow Certification Course
- Run-A-Day TensorFlow Certification Course
- Korea University Graduate School of Technology Management - Deep Learning GAN Specialization Course, Machine Learning Specialization Course Lectures
- DB Human Resources Development Center - Python Data Analysis, Machine Learning Course
- NIA Korea Information and Promotion Agency - Tensorflow lecture
- Fast Campus - Python Deep Learning 300 Lectures
- Daegu Digital Promotion Agency - Python, Data Analysis, Visualization, Machine Learning Lectures
- Sector NineSecta9ine - Data Analysis Course
- Daegu Digital Promotion Agency - 6th. Python, Data Analysis, Deep Learning (Tensorflow) Lecture
- Yagom - Present and Future Speaker of Artificial Intelligence (AI)
- CJ Olive Networks - Python, Data Analysis, Visualization, Machine Learning, Deep Learning Lectures
- DB Human Resources Development Center - Machine Learning Intermediate Course Lecture
- Chungnam AI, SW Education One-stop Career Lecture
- Incheon National University - Special Lecture on Data Analysis Using Python
- Hallym University - Special lecture on data analysis for non-majors
- Hanshin University - ABC (AI, Bigdata, Contents) Camp AI Special Lecture
- Young Talent AI Dream School - Special Lecture on “My Own AI Learning Know-how”
- Kumoh National Institute of Technology - Tensorflow Certification Course Lecture
- Hanyang University - Special lecture on strengthening data capabilities
- SK MN Service - Power Automate Practical Application VOD Lecture
- Udemy – Pandas in one room
- Daegu Digital Industry Promotion Agency – 2022 Big Data Analysis Lecture
- Elise - Python Introductory VOD Course
- Segyo High School - ABC Camp (Easy way to learn artificial intelligence) lecture
- SK Group - Project Based Learning (PBL) Mentor & Lecture
- Hanshin University - ABC (AI, Bigdata, Contents) Camp 2022 Summer Semester AI Special Lecture
- DB Human Resources Development Center - 2022 Intermediate Course Machine Learning/Deep Learning
- Elise - Pandas Data Analysis VOD Lecture
- Seoul Guro-gu X Seoul National University - Tensorflow Developer Certification Course Lecture
- Kumoh National Institute of Technology - 2022 Second Half TensorFlow Certification Course Lecture
- Seoul National University Lifelong Education Center - TensorFlow Certification Course Lecture for the First Half of 2023
Operating Sites and Books
Recommended for
these people
Who is this course right for?
If you want to quickly create your own data analysis web app
Anyone who wants to effectively visualize data through a web app
Need to know before starting?
Python
Pandas
Curriculum
All
14 lectures ∙ (1hr 49min)
2. Text component
04:43
9. Add sidebar, tabs
05:41
Published:
Last updated:
Reviews
All
18 reviews
4.9
18 reviews
오강현Reviews 3
∙
Average Rating 4.3
4
100% enrolled전달력 좋고 깔끔한데, 후반부에 조금 바쁘게 가는 것 같은 느낌이네요. (빠르게 배포하는 유동성이 스트림릿의 장점이란 생각이 들었는데, 이걸 실전에서 더 잘할 수 있도록 깃헙을 이용한 배포를 조금 더 자세히 설명해 주면 어땠을까 싶어요.) 그래도 전반적으로 스트림릿에 대해서 빠르게 배울 수 있었던 것 같습니다.
- 런어데이Instructor
감사합니다. 말씀해 주신 미진한 부분은 앞으로 개선하여 현재 강의에 업데이트 할 수 있도록 하겠습니다. 소중한 의견 감사드립니다!
- aboutexo04
Reviews 3
∙
Average Rating 5.0
- 강석진
Reviews 2
∙
Average Rating 4.0
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