Python 100 Problem Solving with Examples Part 2

This course is designed to help you learn various functions needed for presentation creation using the Han Show program, and develop practical skills applicable to both work and exams. It goes beyond simply acquiring design functions to cultivate logical thinking and problem-solving abilities, helping you create systematic and persuasive presentation materials. In particular, this course is designed with a curriculum optimized for the ITQ exam, making it effective for exam preparation. Learners can systematically study core presentation functions such as slide creation, utilizing shapes, images, tables, and charts, animations and transition effects, and develop practical skills by solving problems similar to actual exams. Through this, students will not only acquire ITQ certification but also simultaneously secure presentation creation abilities and application skills that can be immediately utilized in work environments.

1. Learn the main functions of Excel so you can create documents easily and quickly. 2. Learn tips commonly used in practice.

Learn the core techniques of 'Prompt Engineering' to get exactly the answers you want from AI. From a complete beginner's first steps to expert practical applications, maximize your AI utilization skills!

Through this course, learners can acquire the ability to obtain a computer proficiency certificate. This course is designed to meet the examination criteria for obtaining a computer proficiency certificate. You can learn and utilize basic knowledge of the computer proficiency subject to prepare for obtaining the certificate.

Learn the key features of Photoshop CC 2020 to use Photoshop easily and quickly.

This is a lecture where you can learn JavaScript through theory and practice. We explain step by step so that even those who are new to coding can easily understand. Part 1 covers an overview of JavaScript, variables, data types, operators, control statements, and the basics of jQuery.

This course is designed to learn the fundamentals of networks that form the foundation of the internet. It is structured to help you understand the basic concepts and structure of networks and systematically learn the principles of internet communication. Learners will acquire foundational theoretical and practical knowledge about networks, establishing a foundation for learning in the IT and information communication fields.

This is a lecture to prepare for the Information Processing Engineer practical subject certification, and you can acquire basic knowledge to understand the development requirements of information systems, etc. (Part 1)

This course is designed to prepare you for the Information Security Engineer written exam by concisely summarizing core theories and strengthening practical skills through problem-solving. Take a step closer to obtaining your Information Security Engineer certification with past exam analysis and practical preparation strategies.

In this course, you will learn advanced 2D drawing techniques and practical application methods in AutoCAD 2022.

In this course, you will learn how to use basic commands for 2D drawings in AutoCAD 2022.

Through this course, you can study short answer and descriptive questions from past practical exams for the Information Security Engineer.

Learn the basics of using AutoCAD and the basic functions for 2D CAD work.

This course is designed to prepare you for the Information Security Engineer written exam by concisely summarizing core theories and strengthening practical skills through problem-solving. Take a step closer to obtaining your Information Security Engineer certification with past exam analysis and practical preparation strategies.

When you want to try using Figma, a UI design authoring tool, or when you want to create something with Figma, you'll practice the most basic usage methods.

Learn the basic functions for performing 3D CAD work using AutoCAD.

This is a series of video lectures for AWS beginners and college students enrolled in AWS Educate. We will briefly introduce the AWS registration process and free tier services.

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 course is a **practical-focused lecture** that covers how to apply **conversational AI (ChatGPT, etc.)** to actual company work. Beyond simple AI usage methods, it is structured to enable learning of specific cases such as work automation, document creation, idea generation, and data analysis assistance that can be utilized in various departments and job environments. Through this course, learners will master methods to streamline repetitive and time-consuming tasks with AI, and experience smart workflows that collaborate with AI. Additionally, by understanding AI's strengths and limitations, it helps make correct decisions in actual business situations. Upon completing this course, you will be able to utilize conversational AI including ChatGPT as a tool to enhance work productivity, which will serve as an important foundation for securing competitiveness in future work environments.

This course is a hands-on lecture that covers the basic usage of the Cursor AI tool and how to apply it to actual website creation. Learners will understand the AI-based development environment and experience code writing and automation features using Cursor. The curriculum is designed not just to teach the tool's functions, but to help students develop practical skills through an actual website production project. Furthermore, it covers essential elements frequently used in website development—such as HTML, CSS, and JavaScript—along with efficient development methods using AI assistance, making it easy for beginners to follow along. By taking this course, learners will gain the ability to quickly implement ideas and complete websites using Cursor AI, which will serve as an excellent first step in adapting to the latest development environments.

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 3, you will solve problems on the topics of OPP, algorithms, strings, modules, and certification preparation.

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 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.

Learn NoSQL technology for handling big data, one of the fundamental skills in full-stack and data science technologies used by modern startups. MongoDB is the easiest and fastest NoSQL technology to utilize. In this course, you will learn the basics of MongoDB in a short time and master the skills to handle and utilize MongoDB with Python.

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

Do you manually type in numerous commands every time you build a complex project or create a deployment package? Currently, most open-source projects use build automation scripts to save the trouble of typing commands. Do you also find building tedious? Then use this course to automate your builds and increase your work efficiency.

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.

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

"Most similar to real practice! Capture employment, coding competitions, and skills all at once." Perfect preparation for corporate coding tests! Skill improvement from basics to intermediate level! This course contains only the essentials needed for coding test preparation. Structured step-by-step from basic concepts to practical problems, you can simultaneously develop programming skills and practical sense.

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

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!

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.

You will thoroughly understand the principles!

Develop a deep understanding and intuition for calculus. Solve problems and implement algorithms by hand and in Python.

For those who want to learn data science, big data, and web crawling, (1) we summarize the most essential Python syntax in a short time, and (2) you'll become familiar with Python and crawling through practical crawling 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.

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 practical course where you will learn how to actually build computer vision and deep learning models using PyTorch. Many learners understand deep learning theory but struggle with the actual process of implementing and training models. In this course, we start with the basic concepts of image processing and move on to understanding and directly implementing key deep learning models such as CNN, LeNet, AlexNet, VGGNet, Inception, and ResNet. Furthermore, you will learn the latest computer vision technologies, including Object Detection, Semantic Segmentation, Instance Segmentation, and GAN, through hands-on practice. Through this course, learners will acquire the practical skills to build and train real-world deep learning models using PyTorch.

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

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