[Teddy Note] Python in One Room (Includes E-book)

This is a free lecture from TedNote's 'Note Series'. This lecture is intended for Python beginners. We provide a separate e-book textbook so that you can learn even if you follow the daunting Python study. You can find more lectures on the YouTube channel 'TedNote'.

(4.8) 28 reviews

1,381 students

Python
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This course is prepared for Beginners.

What you will learn!

  • Learn the basics of Python easily and efficiently.

  • You can understand the basic structure of Python.

  • You can develop your sense of Python and coding.

  • Learn how to study Python and coding with Google Colab.

  • You can learn the basic programming language needed for data analysis.

  • You will develop your problem-solving skills through various examples and practices.

Attention all Python beginners!
A Python notebook that ends in one volume of Teddy Note.

📖 Python Notes in One Volume

Python is a programming language that is easy to learn and highly extensible. This makes it a very useful language for both beginners and experts, and the important thing is that it will become a more promising programming language over time.

The 'Python Note' lecture is designed for those who are new to Python or have repeatedly given up on learning Python. We provide practice materials along with the lecture so that anyone can get a feel for Python just by following along, and we provide the textbook in the form of an e-book for free. The goal of this lecture is to help those who are unsure of how to start learning Python get a feel for Python just by following along.

Python is a programming language that is both basic and rooted. You can properly study data analysis, programming, etc. only if you have a solid foundation and strong roots. The Python Note lecture focuses on the most important and frequently used grammar in Python. Even those who are new to Python can master the course without much difficulty by following the curriculum. After learning the Python Note, you can find the next stage on your own. So now, let's open the Python Note and go into the lecture.

If you found this lecture helpful, please subscribe to Teddy Note and like it.


📖 Python Notes eBook

You can view the e-book at https://wikidocs.net/book/6708 .


📖 Introducing Teddy Note

Hello, I am Lee Kyung-rok, who runs a data analysis blog and YouTube channel called ' Teddy Note '. When I first started studying Python, there weren't many educational institutions or resources, so I had a hard time learning on my own. So I went through a lot of trial and error, and I was able to build my skills by watching YouTube online lectures and getting help from experts. I prepared this lecture because I wanted to help those who are having similar concerns as I did in the past by creating a good lecture.

Main history

  • 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.
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  • Korea University Graduate School of Technology Management - Deep Learning GAN Specialization Course, Machine Learning Specialization Course Lectures.
  • Samsung SDS - Senior DS Level 2 Certification Course.
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  • NIA Korea Information and Promotion Agency - TensorFlow lecture.
  • Fast Campus - Python Deep Learning 300 Lectures
  • Daegu Digital Promotion Agency - Python, data analysis, visualization, and machine learning lectures.
  • Sector NineSecta9ine - Data Analysis Course

Operating Sites and Books

Recommended for
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Who is this course right for?

  • If you are new to Python or coding

  • If you are confused about where to start learning Python

  • If you want to master Python quickly and efficiently

  • If you have repeatedly given up on learning Python on your own

  • Someone who bought a book to study Python but gave up

  • Those who need to learn coding to study data analysis

  • If you want to start with the basics of programming languages that are widely used in machine learning, deep learning, and artificial intelligence

  • Those who want to acquire basic skills through practical application of theory

Hello
This is learnaday

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Answers

4.8

Rating

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Curriculum

All

68 lectures ∙ (3hr 3min)

Published: 
Last updated: 

Reviews

All

28 reviews

4.8

28 reviews

  • 이유진

    Reviews 1

    Average Rating 5.0

    5

    100% enrolled

    It was good!

    • learnaday
      Instructor

      Thank you for the great review!!

  • S C

    Reviews 1

    Average Rating 5.0

    5

    60% enrolled

    I'm listening carefully

    • learnaday
      Instructor

      Thank you for leaving a good review^^

  • Harper Lee

    Reviews 10

    Average Rating 4.7

    5

    100% enrolled

    It's well summarized and helps you organize quickly.

    • learnaday
      Instructor

      Thank you for the great review!

  • hyongsu44

    Reviews 851

    Average Rating 5.0

    5

    100% enrolled

    Thank you for the valuable lecture.

    • learnaday
      Instructor

      Thank you for the great review!

  • cangying83

    Reviews 1

    Average Rating 4.0

    4

    96% enrolled

    Very good

    • learnaday
      Instructor

      Thank you for the great review!

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