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…
Author: Vitosh
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…
VBA – Automated Pivot Filtering
Pivot tables are one of the most powerful tools in Excel for summarizing and analyzing data. No doubt about it. However, sometimes you need to go beyond their built-in functionality. In this article, we will explore how to use VBA to…
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…
Rules of 114 and 144
The Rule of 114 is a quick way to estimate how long it will take to triple your money with compound interest. The idea is simple: divide 114 by the annual interest rate (in %), and you will get 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
Solving Triangle Medians and Cevians with Python
If you remember some advanced math problems with triangles, where you have some cevians and medians, that split a triangle’s side into a 4:3 ration and you have to find the ratio of the split of the two cevian itself,…
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.…
Solving Inequalities with Interval Method
Have you ever had a feeling you need to solve an inequality like this one ((x+6)^3)/(7-x)^5>0 and you did not know how to start? In the video at the bottom of the page I am showing the few steps needed,…
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 – Linear Regression – YouTube video
There is something interesting about linear regression. I have just noticed, that I have actually quite some articles on it some years ago, but today I wanted to make a YouTube video as well. Well, what is the difference this…
Python – Understanding Standard Deviation
So, what exactly is standard deviation? In simple terms, it’s a measure of how spread out the numbers in a dataset are from the mean or average. If the numbers are close to the mean, the standard deviation is small.…
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
Dot Product in 2D with Python
Talking about dot products in linear algebra can be really a subject of hours, but long story short this is probably the minimal knowledge you can live with: The dot product (inner product) is an operation on 2 vectors that…
VBA – Array to Excel Range. With filtered rows.
Excel with VBA is really a powerful tool. There should be some 5 more years, until Python really becomes a standard for the Excel people and I am not sure that it would actually happen that quickly. Anyway, working with…
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…
VBA – Excel Range to Array
In the last weeks, I have noted that one of my answers in StackOverflow has received some upvotes. Which was somehow strange, as people keep on telling me that #VBA is going to die and it is a “funny scripting…
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…
Python – Make a simple API with Flask and Postman
Flask is actually really a powerful tool for making an API. In the video below, you would see how quickly I am building an API, that does four really simple functions. The functions are – saying “Hello”, multiplying a number by…
Python – Remove spaces and None from pandas dataframe
In the attached video below, I am simply showing the following 3 pieces of code with Jupyter Notebook: Remove spaces in dataframe columns. Remove none values from dataframe rows. Filter dataframes, based on values. E.g. – put all rows with…
Python OOP – Classes, Methods, Attribures, Composition, Inheritance
Have you ever dreamt about coding classes like a pro? No? You had “normal” dreams? Anyway, in the video below, I am solving 3 exercises with a lot of debugging and some basic tests. Exercises are from the book Python…
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