Through this course, you can understand Android features and set up a development environment to take your first step as an Android app developer.

This course is designed to use only personal PCs and laptops. You can directly implement CI/CD automation processes by applying GitOps methodology in a k8s environment without using cost-incurring cloud environments like AWS or GCP.

This course will teach you how to compose in Jetpack. You will learn the core ideas of compose, how to manage state using compose, and how to compose screens.

This course will teach you how to use authentication, database, storage, and FCM provided by Google Firebase. In particular, FCM is a core service of Firebase used by most apps for server push.

This course will teach you about networking, data persistence, and location utilization, which are essential for Android apps. These three features are implemented so frequently that it is hard to find an app that does not utilize them.

This course will teach you how Android components work and how to use them. The core components of Android apps are components. If you develop apps without a proper understanding of components, there will be more than one or two areas where you will get stuck.

This course will teach you the Jetpack library's views for creating various screens for real-world apps. The screens of real-world apps are diverse and complex, so they cannot be developed using only platform APIs.

This course covers the basics of Android app development. No matter what app you develop or what features you implement, you cannot develop without understanding the content of this course.

Through this lecture, I hope to understand the core of the Kotlin language and avoid the mistake of being blocked by the language when developing Android apps.

This course is a direct lecture by the author based on the book "Python Quick Start - Python for Work - Ruby Paper (2023/04)". This course is a course to learn the basics and usage of Python, which is known to be easy to learn, so that even non-majors can use programming in real life or work. You will learn Python programming methods through real business cases rather than grammar-centered ones, and you will be able to increase the efficiency and reliability of your work by automating various business processes including HR and finance.

This course aims to acquire Python-based web crawling technology to collect data from web pages and improve data collection and analysis capabilities at work based on this.

This course teaches you how to analyze and visualize data using pandas, Python's powerful data analysis library.

Leveraging Python's basic syntax and popular libraries Auto-generating Python syntax and library code using ChatGPT

No more 'Question - Answer - Read-through' explanations! We explain all the knowledge related to how to solve AWS SAA certification exam questions!

For the sole purpose of passing the exam, we have summarized and organized the key contents of each exam area to prepare for the AWS (AWS Certified Solutions Architect-Associate) certification.

Through this lecture, even non-majors can fully understand the concepts and operating principles of the ORM module, which is the core of Spring.

This course will enable even non-majors to develop and operate Spring MVC-based web applications.

Through this lecture, even non-majors can fully understand the concepts and operating principles of the MVC module, which is the core of Spring.

Through this lecture, even non-majors can fully understand the concept and operating principles of AOP (Aspect Oriented Programming), a core module of Spring.

Through this lecture, even non-IT majors can fully understand the concept and operating principles of IoC (Inversion of Control), the most core module of Spring.

This course teaches you how to analyze and visualize data using pandas, Python's powerful data analysis library.

The Channels library is a real-time messaging library developed under the philosophy of Django. Quickly master the essence of Channels through this course.

This course aims to acquire Python-based web crawling technology to collect data from web pages and improve data collection and analysis capabilities at work based on this.

This lecture guides you through data analysis using Python and how to apply it to the IT security field.

Solidify your foundation in Python/Django web service development. Learning Django takes time, but you can maximize your productivity through iterative development. Turn your imagination into reality.

Learn Pandas' core features, comparing with SQL!

I want to create an algorithm trading bot that makes unlimited money and run it automatically. Where should I start?

Time Series: Become a Data Analysis Expert! Let's be analysts strong in theory & practice!

Finally, the Probability and Statistics course for everyone is here! Learn the principles of probability and statistics step by step through theory and coding practice. Reference book "Probability and Statistics for Everyone" https://wikidocs.net/book/18165

This course is a direct lecture by the author based on the book "Python Quick Start - Python for Work - Ruby Paper (2023/04)". This course is a course to learn the basics and usage of Python, which is known to be easy to learn, so that even non-majors can use programming in real life or work. You will learn Python programming methods through real business cases rather than grammar-centered ones, and you will be able to increase the efficiency and reliability of your work by automating various business processes including HR and finance.

Build data-driven investment strategies with Python quant investing and put them into practice. You can implement various asset allocation strategies and ultimately create your own unique investment strategy.

Learn the basic concepts of Spring Security OAuth2, API usage, and internal architecture. In addition, you will learn how to integrate and link OAuth2 Client, OAuth2 Resource Server, and Authorization Server, build your own authorization server, and implement OAuth2 services through it.

In Part 3 of Creating a Python Trading Room for Quant Investment, you will learn about portfolio theory and concepts necessary for real investment, as well as how to implement them with code. In Parts 1 & 2, you mainly learned about code implementation methods for analyzing financial data, and in Part 3, you will learn about 'portfolios', which are an important part of quantitative investment. With the question of why you should create a portfolio, you will learn portfolio theory, implement it in Python, and practice the code necessary for real portfolio investment. I hope this lecture will be helpful for your own portfolio investment.

This course covers the process of developing a RESTful Web Services application using Spring Boot, and you can learn the basic knowledge required for designing a REST API.

This course is for both beginners who have never been exposed to programming before and those who have some theoretical knowledge about Python. The main purpose of the course is to create interest and enjoyment in Python based on real projects. I hope that through this course, you will gain more ideas and have more fun with Python.

You don't need to know any coding at all. In just half a day of studying VIBE Coding, you'll be able to create programs without writing any code. Let's learn the latest AI coding methods by directly creating 10 step-by-step examples such as web scraping, TTS, chatbots, and games.

Learn to implement Telegram, Slack, KakaoTalk, and Discord bots with Python, exploring each service's features via various examples.

Revolutionize your stock investments with AI! In this lecture, you will directly build a real, working AI automated trading system targeting the top 25 NASDAQ stocks. We provide a special opportunity to gain experience and know-how through simulated investments with the 한국투자증권 API, and to perform AI stock automated trading with a real account. Even stock beginners will have no problem. We will easily explain basic stock concepts and why you should invest in US stocks, and provide all source code and remote support. From now on, investment is essential for the next 60 years of our lives. Create your own AI investment partner that will be with you!

Based on the instructor's own failed experiences when first learning machine learning, this is a newly designed course that differs from existing lectures, making it easy to understand machine learning and apply it to real-world problems

A course to understand and practice machine learning for efficiently conducting complex analysis and predictions! Even machine learning, which may seem difficult and complex, can be easy and fun to master with Masocampus's <Python Machine Learning>.