Learning Python Basics through Python Institute Certification (Mini project: Creating a Real-time Korean/English Translator Using Chat GPT)

This course is for those who are curious about what the phrase “DevOps is a culture!” that they hear so often at DevOps conferences means. It covers the overall aspects of the three major elements of DevOps: People, Process & Technology, and also shows you how to implement them in practice.

You will learn how to configure CI based on GitHub Actions and what content should be included in CI, and you can learn about verification through the SLSA Framework, which was a topic of discussion in Google DevOps Report 2022.

Learn the process of converting an existing legacy monolithic system to a microservice architecture through hands-on training. You will also receive code reviews from knowledge sharers up to two times!

Learn the theory and practice of Terraform based on the HashiCorp Certified: Terraform Associate (003) exam content.

I will share my know-how based on my experience with coding tests while preparing for overseas job transfers! Through this lecture, you will learn 10 questions you must solve before taking the coding test for new/experienced employees + tips for writing an English resume for experienced employees.

I recommend this lecture to anyone who wants to gain insight into a hot topic in the DevOps field called Observability, which is based on log analysis and inter-service correlation analysis on microservices.

Prepare perfectly for the Programmers Coding Essential Competency Certification (PCCE), from Python basics to competency certification!

If you have learned the Python language, this course will help you improve your Python skills and obtain a certificate through solving Cos Pro Level 2 problems, which will allow you to acquire simple problem-solving skills, analyze output values for input, and analyze requirements.

From the basics of Numpy and Pandas to data preprocessing, visualization, and crawling, all in one place! This is an introductory Python course for data analysis.

Strengthen your coding skills through coding test problems by learning Python-based data structures and algorithms!

Anyone can easily create a Python game using the Pygame library, starting from zero base.

Learn about the basics of Python required for data analysis, the data analysis framework (pandas), and the data analysis process.

Learn how to use various libraries and acquire the theory and knowledge necessary to create related applications through Python, the easiest programming language to learn and the most widely used in a variety of fields.

This is a lecture for people who are starting development for the first time. It's about programming thinking, which should come before development languages or UI frameworks.

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'.

This course provides a complete introduction to programming with Python. You will start from the very basics and gradually build up to writing more advanced scripts and solving real-world coding challenges. With step-by-step explanations, practical exercises, and projects, this course is perfect for anyone looking to start their coding journey or strengthen their foundation in Python.

This course is designed for those with absolutely no programming experience, helping you learn Python, a popular programming language, from scratch. Python is one of the most suitable languages for beginners to learn due to its simple syntax and readability. It is used in various fields such as web development, data analysis, artificial intelligence, machine learning, and task automation, and is a very promising technology for the future. In this course, you can systematically learn Python's basic concepts through practice, including variables, data types, conditional statements, loops, functions, lists, dictionaries, and more. Furthermore, you can also learn practical skills by directly building actual applications or tools. We provide friendly and easy-to-understand explanations, along with abundant examples and practice problems, so that even those with fear of programming can easily follow along. By writing and testing code yourself, you can naturally increase your understanding and continue learning without getting tired. Upon completing this course, you will be able to write simple programs yourself and gain confidence in solving various problems using Python. Now is the perfect time to start Python as your first step towards career advancement or change.

Learn Python coding. Learn design scripting with Rhino3d Grasshopper. Learn creative coding such as computational thinking, parametric, and generative design.

If you can master DB and programming, you should be more than halfway prepared for the information processing engineer exam. Let's take a look at the DB and programming parts, which are worth 45 to 55 points in the practical exam, and pass the written exam steadily.

You will learn techniques that can be applied in various fields of IT security, starting from the introduction to Python programming.

We will develop a web app that collects data using concurrent/parallel programming in Python, loads it into MongoDB, analyzes it, and visualizes the collected data using FastAPI, a modern web framework. In the process, you will learn and understand Python concurrent/parallel programming using coroutines, multi-threading, and multi-processing, and understand how to use them to improve Python's performance. We will help you apply Python concurrent/parallel codes directly to your work. We will not only teach you how to develop and end, but also how to deploy and operate an actual app on the AWS cloud.

AI does the coding, I get the results! Maximize practical programming skills, achievable even for beginners!

Even office workers who know nothing about coding can easily learn the basic concepts and grammar of programming through practice, and learn file input/output, Excel data processing, automatic creation of MS-Word documents, graph drawing, web scraping, etc.

Theory, numerical approximations, intuition, and visualization in integral calculus. Enhance your math-coding skills.

Learn essential TypeScript concepts while coding in React and Vue, widely used in practice. For practitioners and beginners alike, this course covers typing React and Vue, plus ChatGPT usage!

Solve coding test problems using Python.