Python Basics to Practice Part 2

This course is designed to teach the entire process of 'AI Training Data Construction,' which is essential for successfully executing AI modeling projects. Learners will not simply remain at the theoretical knowledge level, but will experience step-by-step the data construction processes required in actual practice. Specifically, the course covers the entire process from AI training data planning → acquisition → storage → preprocessing → labeling → pseudonymization and transformation through hands-on practice, structured to develop practical skills that can be immediately applied in the field. Additionally, learners will systematically study the most important data management capabilities in AI projects, such as data quality management and security issues, personal information de-identification processing, and dataset optimization. Through this, learners can grow from simple data collectors into data specialists who can proactively plan and execute AI projects. 👉 Through this course, learners will understand how to construct high-quality training data that determines AI model performance and acquire practical capabilities to effectively apply this in real work environments.

From building a database to creating tables, you can manipulate and change data within the database using various SQL queries.

Learn the fundamentals of Onshape and learn the basics of 3D modeling and CAD.

This course will teach you how to create an EPUB format e-book using Sigil and learn various techniques required for creating e-books.

This lecture is designed to prepare for the Information Security Engineer written exam, and it will help you concisely summarize the core theories and strengthen your practical skills through problem solving. Take a step closer to obtaining the Information Security Engineer certification with analysis of past questions and practical preparation strategies.

This course is designed to learn the fundamental theories and practical processes necessary for applying AI modeling and service planning to real-world work environments. Learners can acquire essential foundational knowledge to skillfully perform AI modeling projects and experience various practical procedures used in actual business settings. The course is specifically structured to provide step-by-step learning of the entire workflow from AI service environment analysis → goal setting → requirements analysis → service model design → scenario planning → utilization planning → execution plan development → performance evaluation planning. Through this approach, learners can develop systematic thinking and practical application skills for how to introduce and utilize AI from business and service planning perspectives, rather than limiting themselves to purely technical learning. Upon completing this course, learners will understand the overall planning and execution process of AI projects and will be able to strengthen their capabilities as AI service planners, PMs, and data-driven strategists in actual corporate environments.

Notion's powerful and convenient database features allow even beginners to easily build a DB. In this course, you will learn about database concepts and related terms (tables, rows, columns, etc.), as well as the basic usage of the Notion database.

This lecture is designed to prepare for the Information Security Engineer written exam, and it will help you concisely summarize the core theories and strengthen your practical skills through problem solving. Take a step closer to obtaining the Information Security Engineer certification with analysis of past questions and practical preparation strategies.

This lecture is designed to prepare for the Information Security Engineer written exam, and it will help you concisely summarize the core theories and strengthen your practical skills through problem solving. Take a step closer to obtaining the Information Security Engineer certification with analysis of past questions and practical preparation strategies.

You can effectively study the contents of the Information Security Engineer practical exam questions and obtain the Information Security Engineer practical qualification.

This course is designed to learn the JavaScript programming language along with the latest ES6 grammar.

This course is an advanced program that provides in-depth coverage of C# multithreading and asynchronous programming, systematically designed to help you learn concurrency handling techniques frequently used in real-world applications. First, you'll understand the basic concepts of threads and practice creating and managing threads, learning to precisely control thread states and behaviors through various thread methods, ThreadState enumeration, and Flags properties. Next, you'll practice the differences and use cases between **Interrupt() and Abort()**, and learn how to reliably implement thread synchronization using **lock keywords and Monitor class (Enter, Exit, Wait, Pulse)**. Additionally, you'll cover asynchronous programming techniques essential in modern development environments, practicing parallel programming using Task and Task<TResult> classes, and the Parallel class. Finally, through async/await keywords, you'll understand the differences between synchronous and asynchronous code and gain experience applying more efficient asynchronous processing methods to projects. Through this course, learners will acquire the ability to develop high-performance applications using multithreading and asynchronous programming, and gain confidence in solving concurrency issues and implementing efficient programs in real-world scenarios.

This course focuses on learning the fundamental concepts of algorithms using the JAVA language, with an emphasis on simultaneously developing programming thinking skills and problem-solving abilities. Additionally, it systematically covers the large-scale application development procedures used in corporate environments, allowing students to learn the analysis and design processes required in practical work. Through this, learners can go beyond simple coding abilities to become familiar with the overall system analysis and design process and strengthen their practical application skills. By learning step-by-step from basics to practical procedures through this course, students can build a foundation for growing into developers, system engineers, and IT planners.

This course is designed to simultaneously develop both fundamental theory and practical application skills needed to proficiently execute AI modeling projects in real-world settings. Learners will understand the overall flow of AI projects and experience step-by-step processes through hands-on practice: problem definition → model design → data acquisition and preprocessing → feature extraction → model training and validation. Additionally, by learning how to select and manage optimal AI models in various situations, learners can build practical AI capabilities that can be applied to actual business environments. Through this course, learners can systematically understand the entire AI modeling project process and strengthen their data-driven problem-solving abilities based on this foundation.

This course is a step-by-step learning program that covers network programming from fundamentals to hands-on practice. First, we examine the origins and development of the Internet to understand how today's network environment was formed. Next, we learn the structure and operating principles of the TCP/IP protocol, which is the core of networking, to build a theoretical foundation. In the practical stage, we implement actual network communication using the Socket class, TcpListener, and TcpClient classes provided by C#, and experience client-server architecture. Through this, you can understand the actual data transmission and reception process and network connection procedures beyond simple theory. Finally, we visually implement network programs by creating user interfaces (UI) using WinForm. We practice enabling connection, message transmission, and reception through button clicks, developing the ability to create network application programs that can be utilized in real-world environments.

This course is a lecture that teaches C# Windows Forms (WinForm) application development step by step from basics to hands-on practice. First, you will understand how Windows Forms applications work and learn the structure and usage of WinForm classes and Application classes. Through this, you will become familiar with the execution flow of applications and build a foundation through actual code practice. In the following lessons, you will design forms using the form designer tool and implement **user interfaces (UI) utilizing various controls** such as buttons, text boxes, and labels. Rather than stopping at simple UI composition, you will develop the ability to create programs applicable in real work by adding event handling and interactive features. Additionally, you will practice asynchronous task processing methods in the WinForm environment and learn techniques to simultaneously improve application performance and user experience. Through this course, learners can solidly build the fundamentals of desktop application development in Windows environments and acquire WinForm programming capabilities applicable to real work.

Introduces the workflow integration between After Effects CC 2017 and CINEMA 4D and learn related features.

Django is a Python-based web application framework. In Part 1, you will learn about Django and create web applications.

This course is designed to learn how to efficiently manage and utilize file and directory information in C#. It focuses on file input/output processing, directory navigation, stream utilization, and understanding the Position property that are frequently required in practical development environments, and you will learn safe resource management methods through using statements through hands-on practice. Additionally, you will learn input/output methods for binary files and text files to handle various types of data, and by understanding the process of object serialization and deserialization, you will learn how to easily save or load C# objects to files. The goal is to develop the ability to immediately apply file input/output and serialization-related functions in actual development environments through practical projects as well as theoretical learning.

Learn various know-hows that will help you get the most out of Excel in your real work.

Python with easy and intuitive grammar! Learn Python, which is famous as an introductory programming language, from the basics to practice! In this course, you will learn about files and exception handling, built-in functions, sorting and searching, lambda expressions, iterators, generators, operator overloading, modules, and threads.

Python with easy and intuitive grammar! Learn Python, which is famous as an introductory programming language, from the basics to practice! In this lecture, you will learn about Python, variables, data types, conditional statements, and loops.

Solve coding test problems using Python.

This is a Python coding test lecture centered on problem solving, tailored to those who are new to coding tests.

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

Learn NoSQL technology, which can handle Big Data, one of the fundamental technologies in full-stack and data science utilized by modern startups. MongoDB is the easiest and quickest technology to utilize among NoSQL databases. In this lecture, you will learn the basics of MongoDB in a short time, and also acquire the skills to manipulate and utilize MongoDB with Python.

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.

Online bootcamp in Jeju! Create your own service quickly! :)

For those looking to learn Data Science, Big Data, and Crawling, (1) we will summarize the most essential Python core syntax in a short time, and (2) you will become familiar with Python and crawling through practical crawling programming.

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

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.

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

In this course, you will learn the basics of Raspberry Pi and Python and practice creating simple but essential self-driving car and remote home monitoring projects.

This is a Python course provided by shop2world.

If you are planning a service, a website is an essential element. Of course, in addition to the service, most of the currently provided program infrastructures operate based on the web. The purpose of this course is to learn how to create a website using Python, which is considered the easiest programming language, and how to set it up to an actual operational state.

In this course, you will learn how to program kernels and develop PyTorch modules. You can use the knowledge you have gained to develop models faster.

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 : )

From the basics of Python to applications, everything you can do with Python, including web, data analysis, crawling, business automation, GUI, and programming, is covered in one course.

Learn network programming from scratch, fully utilizing Python and ChatGPT. Rather than tedious conceptual explanations, the focus is on students directly writing network code through practical exercises and personally verifying how their written programs operate. You can acquire skills ranging from basic network practicals to network technologies applicable in real-world scenarios, and build deep understanding and proficiency through exercises dealing with various protocols and tools. Furthermore, by leveraging ChatGPT, students can have a memorable learning experience without feeling difficulty or boredom.

During our school days, the 'click' sound we heard in the computer lab... that was Minesweeper. In this course, we'll recreate those memories by implementing it with Python. Whether you're a beginner or even someone encountering Python for the first time, by following along line by line, you'll find that your very own Minesweeper game has been completed before you know it.