Learning Python Programming with Patterns Part 5 - Data Analysis

Python, now you're doing it? Then, can you implement GUI using PyQt in Python? In order to implement GUI using Python, I've included only the most necessary content, focusing on the most frequently used syntax in actual development sites, utilizing the package PyQt.

Team leaders, you say, if you give me an Excel file, I have to look at it one by one? Can't you organize it so that it's pretty and easy to see at a glance? I'm busy organizing and analyzing data, but when will I edit it nicely? When that happens, you think, how great would it be if there was a magical tool that visualizes the Excel data I organized beautifully? Yes, there is. Power BI, a magical tool created by MS. It's a simple visualization tool that makes it easy to see the Excel data you created at a glance, and once you create it, it's continuously updated and used later! We'll tell you very, very easily and kindly what the program is and how to use it!

What do you do with Excel? Sorting and filtering the data that pours in? What do you do when your team leader suddenly wants data? You want a lot of data, and you are always busy and waste time, right? Have you heard of pivot tables? You may have even used them. But! Pivot tables are easier than you think, and there are more hidden functions. Here is a secret that will drastically reduce the time you spend handling, analyzing, and organizing data.

The basics of database! We will help you to clearly understand the concept of your DB. We will help you not to get lost in any study related to database in the future.

It contains only the most essential content, focusing on the most frequently used phrases when doing web crawling in the field. Once you learn it, you can use it in many different ways.

Learn Python easily and quickly with patterns. Learn only the essentials in a concise manner 💪

Rather than a boring and obvious Python lecture, we've collected the most frequently used Python patterns in the field.

Excel Basics: Build your stamina! Witch's Excel Honey Tip Recipe 📚

Are you working overtime because of Excel? Or are you having trouble getting your work done because of an error? For you, I have prepared 10 really, really useful tips for using Excel!

This course focuses on teaching high-level grammar so that learners who have learned the basics of Python can apply Python to practical use. By understanding the unique features of Python and learning them quickly, you can become familiar with intermediate-level programming.

Python, now you're doing it? Then, can you implement GUI using PyQt in Python? In order to implement GUI using Python, I've included only the most necessary content, focusing on the most frequently used syntax in actual development sites, utilizing the package PyQt.

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.

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.

Data analysis sounds a bit grandiose, but it is actually a process of establishing a hypothesis and verifying it based on data. You can learn how to analyze what data to verify your hypothesis using Python.

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.

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

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

This is a lecture for people who are starting development for the first time. It's about programming thinking, which should come before development languages or UI frameworks.

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.

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.

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

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.

[Lecture Summary: From Pixels to Practice, Building a Business Card Recognition System] * **Pre-processing:** We learned how to remove noise and extract the 'skeleton' of a business card using Gaussian Blur and Canny Edge detection. * **Hough Transform:** We went through an "audition" process to select the real 'borders' from tens of thousands of points using the $(\rho, \theta)$ voting system. * **Geometric Reasoning:** By solving complex linear equations through substitution and matrices, we precisely targeted the four corners $(x, y)$ of the business card. * **Data Sorting & Filtering:** We mastered data refinement techniques, such as removing overlapping lines and labeling the found points in the order of 'top-left, top-right, bottom-right, bottom-left.' * **The Magic of Transformation (Perspective):** We concluded with practical techniques for straightening tilted images or, conversely, compositing an image into a frame of your choice. 📢 "Does looking at formulas give you a headache? It was the same for me." When I first took on an image processing project in the field, what bothered me most were the screens full of $\sin$ and $\cos$ formulas. Textbooks were full of nothing but equations, and nowhere provided answers to practical problems like, **"Why can't this find the business card in my code?"** Through this lecture, I want to help you solve three chronic problems you will encounter: 1. **"The problem where math feels like an alien language"** → Solved through [The Power of Analogy]. Instead of simply memorizing linear equations, I help you understand them through **'lasers fired from the origin'** and **'shadow play.'** Once you understand the principles, the code follows naturally. I translate formulas into the 'easiest language' that I discovered after countless trials and errors. 2. **"The problem where you know the theory but can't apply it"** → Solved through [Data Auditions]. Why are there 10 borders on my business card? Why is the order of the corners scrambled? I have revealed all my debugging know-how on how to filter and sort the 'messy data' you inevitably encounter in practice. The audition logic for separating the wheat from the chaff will take your project to the next level. 3. **"The problem where the result is boring"** → Finished with [Interactive Composition]. This isn't a lecture that ends with just looking at black-and-white edges. The moment you tuck the business card you created into a 'Hall of Fame frame' that you clicked yourself with a mouse, you will experience **'the magic of manipulating space'** beyond simple coding. "Computer vision is not about math; it's the process of gaining a new set of eyes to see the world." I want to pass on to you that thrilling 'A-ha!' moment I realized in the field. You can close the complex theory books now. Let's paint images freely with the brush of code together!

A course where you can create programs for running a blog using Python and generate additional income through sales and branding.

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

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

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.