Sliding tile puzzle is something that is actually easy, if you are a fan of the Rubic Cube. And if you want to solve it with IDA* (iterative Deepening A*) and with Manhattan heuristic, this is the correct place. The…
Category: Python
Python code examples
Frog Leap Puzzle with Depth-First Search (DFS)
TL;DR: We solve the classic “frog leap” puzzle with Depth-First Search (DFS) by generating next boards around teh blank and trying jumps before steps. This trick finds the minimal soluton in exactly N^2+2N moves. The classic frog puzzle looks like…
XGBoost for beginners – from CSV to Trustworthy Model
This is what we do with in the YouTube video below: take a tiny CSV and explore it with plain words we train a strong model, using the XGBoost python library (eXtreme Gradient Boosting) pick a practical decision treshold and…
Correlation – explained with Python
When you plot two variables, you see data dots scattered across the plane. Their overall tilt and shape tell you how the variables move together. Correlation turns that visual impression into a single number you can report and compare. What…
Python – Learn Pandas with SQL Examples – Football Analytics Example
When working with data, you will often move between SQL databases and Pandas DataFrames. SQL is excellent for storing and retrieving data, while Pandas is ideal for analysis inside Python. In this article, we show how both can be used…
Docker Basics in Excel with VBA | Full CRUD Demo
After building a minimal FastAPI + SQLite CRUD application in Docker, I wanted to show how Excel can connect directly to it. With a few lines of VBA, we can turn Excel into a client that talks to the API.…
Docker + Python CRUD API + Excel VBA – All for beginners
If you are just starting with Docker and want a practical project, here is a fun one: let’s build a tiny CRUD app in Python, run it inside a Docker container, and then connect to it from Excel with VBA.…
Exploring SOAP Web Services – From Browser Console to Python
SOAP (Simple Object Access Protocol) might sound intimidating (or funny) but it is actually a straightforward way for systems to exchange structured messages using XML. In this article, I am introducing SOAP through YouTube video, where it is explored through…
Introduction to Graphs in Python
Lately, I am reading the book Optimization Algorithms by Alaa Khamis and the chapter 3 – Blind Search Algorithms, has caught my attention. The chapter starts with explaining what graphs are how these are displayed in python and I have…
Python – Solving 7 Queen Problem with Tabu Search
The n-queens problem is a classic puzzle that involves placing n chess queens on an n × n chessboard in such a way that no two queens threaten each other. In other words, no two queens should share the same…
Python – Monte Carlo Simulation
Python can be used for various tasks. One of these is Monte Carlo simulation for future stock analysis. In the video below this is exactly what is happening. 🙂 Instead of explaining the video and its code (available also in…
Python – Simple Stock Analysis with yfinance
Sometimes, the graphs of stocks are useful. Sometimes these are not. In general, do your own research, none of this is financial advice. And while doing that, if you want to analyze stocks with just a few lines of python,…
Python – Reading Financial Data From Internet
Reading financial data from the internet is sometimes challenging. In this short article with two python snippets, I will show how to read it from Wikipedia and from and from API, delivering in JSON format: Reading the data from the…
Python – Data Wrangling with Excel and Pandas
Data wrangling with Excel and Pandas is actually quite useful tool in the belt of any Excel professional, financial professional, data analyst or a developer. Really, everyonecan benefit from the well defined libraries that ease people’s lifes. These are the…
Tagged with: combine reports, dataframes, Excel, export, filtering, fix, import, mergining, missing values, Pandas, Python
Automate Stock Analysis with Python and Yfinance: Generate Excel Reports
In this article, we will explore how to analyze stocks using Python and Excel. We will fetch historical data for three popular stocks—Realty Income (O), McDonald’s (MCD), and Johnson & Johnson (JNJ) — calculate returns, factor in dividends, and visualize…
Sine and Cosine – A friendly guide to the unit circle
Welcome to the world of sine and cosine! These two functions are the backbone of trigonometry, and they’re much simpler than they seem. In this article, we will explore the unit circle, the home of sine and cosine, and learn…
Trigonometric Functions – Sine
The sine function is one of the most fundamental concepts in mathematics, connecting geometry, trigonometry, and real-world applications. In its simplest form, sine is defined in a right triangle as the ratio of the length of the side opposite an…
Rule of 72
Ever heard of the Rule of 72? It’s a classic finance shortcut that tells you how many years it takes for an investment to double at a given interest rate—without reaching for a calculator! Pretty much, if you want to…
Python – Stock Dashboard with Streamlit and YFinance
Imagine that you want to have all the important historical financial information of yahoo finance on your PC. Well, in that case you would probably go there and check it. Anyway, if you are a person, who wants to create…
Automated Stock Diagrams with Python
Automated stock diagrams with Python is actually a rather useful idea, if you want to see how your portfolio is distributed. Just by using 2 columnes – “Ticker” and “Shares” in a CSV file, you can obtain a lot of…
From Pythagoras to Law of Cosines
The field of geometry offers tools that have withstood the test of time, empowering us to understand and solve a variety of triangular problems. Among these, the Pythagorean Theorem and the Law of Cosines are cornerstone concepts. This article provides…
Tagged with: explanation, law of cosines, plotting triangle, pythagorean theorem, Python, Video, youtube
Python – Intersecting Line With Circle
Ever wondered how people can say with 100% security where a circle intersects a line? No? Me too, but still I have decided to try to show how this is done. With Python it looks like a piece of cake.…
Python – Getting an Excel List of all Folders and Files in them
Getting a list of all folders within a given folder is actually a single line command. Writing it to Excel is usually another line. Getting all files, within these folders is not a lot as well. However, having a tool…
Python – Simulating the Bitcoin Mining Process – YouTube video
Ok, currently the BTC is 68 491,28 USD and instead of feeling bad for not buying it, you can try to simulate it the mining process with Python just for fun. It is an interesting way to have fun, but…
Python – Central Limit Theorem
Here is an explanation of the Central Limit Theorem (CLT) in a few simple points: Explanation: The Central Limit Theorem states that the distribution of the sample means (averages) of a large number of samples from any population will be…
Object Oriented Programming with Python – YouTube video
Object oriented programming (OOP) in general is a huge topic, but I have decided to make a 30 minute video, based on the book Math for Programmers, as I liked the way it was explained there: Generally, in the video,…
Tagged with: ABC, classes, inheritance, manning, math, object oriented programming, oop, orland, Python
Linear Algebra – Drawing with Vectors – 3d and 2d
Plotting 2d and 3d vectors into a 3d space can be actually fun. Using mainly the code from Math for Programmers, I am presenting in this video an example of plotting 2d into 3d and back, using identity matrix and…
Simplifying Excel Tasks with Python: Data Handling and Testing Tutorial
Working with Python and Excel is actually quite handy, especially if you are into it. In this article, you can see how to create Excel files, write data and formulas into them and read these. Pretty much simple CRUD methods.…
Tagged with: Coding Tutorial, DataAnalysis, DataScience, ExcelAutomation, Openpyxl, Pandas, Python, UnitTesting
Python API With Flask And Postman – Put and Delete Methods
In the previous article, the post and get API methods were presented. In this one, Put and Delete are coming. 🙂 Well, nothing that fancy, this is how these two methods look like:
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# Update item by id @app.route('/api/items/<int:item_id>', methods=['PUT']) def update_item(item_id): data = request.get_json() updated_data = data.get('item') # Get the nested 'item' data if not updated_data: return jsonify({'error': 'No data provided'}), 400 item = next((item for item in items if item['id'] == item_id), None) if item is None: return jsonify({'error': f'Item #{item_id} not found!'}) # Update fields in the item (dummy db) for key, value in updated_data.items(): if key in item: item[key] = value return jsonify({'message': 'Item updated successfully', 'item':item}), 200 # Delete item by id @app.route('/api/items/<int:item_id>', methods=['DELETE']) def delete_item(item_id): item_to_delete = next((item for item in items if item['id'] == item_id), None) if item_to_delete is None: return jsonify({'error': f'Item {item_id} not found!'}), 404 items.remove(item_to_delete) return jsonify({'message': f'Item: {item_to_delete} has been deleted successfully!'}), 200 |
And, of course tests are a…
Python API With Flask And Postman – Post and Get Methods
This is the second video for the “Python API with Flask” series, showing how to make POST and GET commands towards a dummy database, which is a python list in our case. We are using only CREATE and READ commands…
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