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

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.

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.

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.

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!

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.

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

You can easily and enjoyably understand Python programming with games. This is a lecture that even children in elementary and middle school can follow, so parents and teachers will find many places to use it if they learn it. :)

This course aims to develop practical Python programming skills for real-world projects such as deep learning and the Internet of Things. In order to save your time, we have minimized installation and included everything in one course so that you can learn the key content repeatedly.

From Python fundamentals to practical data analysis! You will learn practical Python skills for processing, visualizing, and analyzing data while solving business problems.

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

“There are many ways to solve problems, but why do we feel lost during interviews?” This lecture offers coding interview survival strategies directly from a current engineer working in Silicon Valley. Focusing on problems frequently encountered in real interviews, we'll guide you not just through simple solutions, but also how to articulate your thought process and how you'll be perceived from the interviewer's perspective. Designed for mid-level developers and above, the curriculum is optimized for real-world interviews. If you are preparing for coding tests and technical interviews, gain practical skills and confidence through this lecture.

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

QML is a programming interpreter language for creating UIs provided by Qt. It is similar to JSON and can use JavaScript. Using QML and Python together, you can easily develop modern, advanced UIs.

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.

A course where you can not only build programs required for blog operation using Python, but also earn additional revenue through sales and branding.

This course will help you quickly learn the core concepts of Python and the Pandas library. Improve your programming skills by solving the practice problems at the end of each part!

Solve coding test problems using Python.

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.

This lecture is for beginners who are new to coding, as well as those who want to try out various uses of Python, covering basic concepts of Python, Numpy, Pandas, Plotly, Django, and crawling, as well as simple data analysis.

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.

A lecture consisting of special lectures by professors from Canadian national universities. It covers Python, Code, Scratch programming introduction/basics and practical applications. After completing the lecture, receive a global certificate from Codesprint : )

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.

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

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.

I created a lecture based on the book "Becoming a Coding Test Passer - Python Edition." You can learn algorithms and data structures that frequently appear in coding test exams.