Python 100 Problem Solving with Examples Part 3

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.

This is a course to learn the Python programming language with 100 problems. This course consists of a total of 3 parts, and in Part 2, you will solve problems on the topic of arrays and functions.

This is a course to learn the Python programming language with 100 problems. This course consists of a total of 3 parts, and in Part 1, you will solve problems on the topics of variables, data types, operators, conditional statements, and loops.

This course covers the process of automating algorithmic trading in local and cloud environments, and focuses on hands-on practice.

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.

You can systematically learn stock trading automation using Python and the Interactive Brokers API, which holds the top spot in global market share.

This is a basic DFS lecture that explains the way a liberal arts major and working developer studied to get a job :) We have prepared a lecture where you can learn by solving problems yourself, with minimal boring theory lectures! After taking this lecture, you will be able to solve silver level DFS problems on your own according to Baekjoon standards.

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.

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

You can quickly convert MATLAB code to PYTHON by extracting only the PYTHON grammar that matches the MATLAB grammar.

Python Algorithm Know-How! Public! Public! Want to master Python programming, but find it difficult to understand! Stop giving up on programming every time!! Let's understand the Python programming algorithm concept and become an expert through practical examples from a programming expert instructor!

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

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

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

Django Base Camp is a course where you can systematically learn the core of the Django web framework from beginner to intermediate level. You can quickly develop the ability to build web applications through project-oriented, practical classes.

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 problem-solving lecture that improves coding skills by covering various problems from the basics according to difficulty level on Baekjoon Online Judge (BOJ). This lecture is a Bronze 3 difficulty lecture.

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

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.

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