Tony’s Blog ✍️

Code 28: Python Project Packaging & Distribution

python

How to Package & Distribute a Python Project

Code 27: VS-Code Custom Interpreter & Virtual Environments

coding

python

Automate Selection of Python Interpreter & Virtual Environment Activations to Save Time and Avoid Confusion

Code 26: `pip` versus `pip-tools`

coding

python

Virtual Environment & Dependencies Management

DSA 51: Array-Based Heaps [Part 1]

data structures

algorithms

Heaps Cool Data Structure 😎

DSA 52: Array-Based Heaps - Exercises

data structures

algorithms

Heaps Useful Data Structure 🔨

DSA 50: Binary Search Trees - Exercises

data structures

algorithms

Ch.15 Max, Pre & Post-Order Traversals

DSA 49: Binary Search Trees - Delete Review

data structures

algorithms

A Thoroughly Commented Scenario-Style Coding of BST’s delete_node Function

DSA 48: Binary Search Trees - Review

data structures

algorithms

Writing BST Operations From Scratch All At Once

DSA 46: Binary Search Trees - Delete [Part 9]

data structures

algorithms

Cleaner Implementation with Less Code

DSA 47: Binary Search Trees - Traverse [Part 10]

data structures

algorithms

In-order Traversal Implementation

DSA 45: Binary Search Trees - Delete [Part 8]

data structures

algorithms

Wip Attempt 2: Zero, 1 or 2 Children

DSA 44: Binary Search Trees - Delete [Part 7]

data structures

algorithms

Wip Attempt 1: Zero or 1 Children Nodes Only

DSA 42: Binary Search Trees - Alternative Approaches [Part 5]

data structures

algorithms

Learning to Convert between Recursion and Iterative Approaches

DSA 43: Binary Search Trees - Sir-Insert-A-Lot [Part 6]

data structures

algorithms

Insert a List of Integers into a Binary-Tree

DSA 41: Binary Search Trees - Insertion [Part 4]

data structures

algorithms

Insertion Attempt

DSA 40: Binary Search Trees - Search [Part 3]

data structures

algorithms

First Attempt Raw

Code 25: `locals()`

coding

python

Useful Built-in Function to Obtain Locals Variables & Their Values

DSA 39: Binary Search Trees - Rules [Part 2]

data structures

algorithms

A basic BST Implementation

DSA 37: Singly & Doubly Linked List - Exercises

data structures

algorithms

Chapter 14 Exercises 1-5, J.Wengrow Vol 2

DSA 38: Binary Search Trees - Basics [Part 1]

data structures

algorithms

Trees & Binary Trees: Useful Terms

GO 1: Install & G’Day World

coding

golang

Let’s Go 🚤!

DSA 36: Doubly Linked List [Part 4]

data structures

algorithms

Allowing for Forward and Backwards Traversal

DSA 35: LinkedList - Insert & Delete [Part 3]

data structures

algorithms

The Two Other Important Operations

Code 24: Falsy (& Truthy) Values

coding

python

Learning Pythonic Programming with Falsy Values

DSA 34: LinkedList - Read & Search [Part 2]

data structures

algorithms

Two Important Operations as Functions

DSA 31: Quickselect [Part 2]

data structures

algorithms

Getting the kth item by adapting the quicksort algorithm

DSA 33: Nodes & Linked Lists [Part 1]

data structures

algorithms

Brief introduction to node-based data structures

DSA 32: Quick Algorithms - Exercises [Part 3]

data structures

algorithms

Chapter 13 Exercises, J.Wengrow Vol 1

DSA 30: Quicksort [Part 1]

data structures

algorithms

Implementation with Partitioning

DSA 29: Dynamic Programming - Exercises [Part 2]

data structures

algorithms

Addition, Golomb & Unique Path Questions

DSA 28: Dynamic Programming [Part 1]

data structures

algorithms

Improving Function Efficiency with the Memoization Technique

DSA 27: Anagram - Call Stack

data structures

algorithms

An introductory look at the call stack of the anagram recursive function

DSA 26: Recursion - Anagram Generation [Part 7]

data structures

algorithms

Anagram Recursive Function From Scratch

Code 23: Logging

coding

python

Learning Logs for Different Levels

Calculus 17: Simple Pendulum

calculus

From Ch.3-6 Ex.103 Chain-Rule, Thomas 13e pp.170

DSA 25: Recursion - Exercises [Part 6]

data structures

algorithms

More recursion examples and exercises

DSA 24: Recursion - 3 More Examples [Part 5]

data structures

algorithms

Summation, String-Reversal & Counting-Letter

DSA 23: Recursion - In-Place Modification [Part 4]

data structures

algorithms

Creating & Modifying Arrays

DSA 22: Recursion - Factorial [Part 3]

data structures

algorithms

DSA 21: Recursion - With Base-Case [Part 2]

data structures

algorithms

Proper structure of a recursive function

Calculus 16: More Sequence Exercises

calculus

From Ch.10-1 Ex.39-49 Sequences, Thomas 13e pp.582

Calculus 15: Convergence & Divergence

calculus

From Ch.10-1 Ex.27-37 Sequences, Thomas 13e pp.582

DSA 20: Recursion [Part 1]

data structures

algorithms

Comparing a simple while-loop versus a recursive function

DSA 19: Queues - Print [Part 2]

data structures

algorithms

Implement a simple interface for a PrintManager class

DSA 18: Queues [Part 1]

data structures

algorithms

Queues are like a Macca’s Drive-Thru

DSA 17: Stacks - Exercises [Part 3]

data structures

algorithms

Chapter 9, J.Wengrow Vol 2

DSA 16: Stacks - Linter [Part 2]

data structures

algorithms

Recording first attempt writing a (Braces) Linter class

DSA 15: Hash Tables - Exercises [Part 4]

data structures

algorithms

Chapter 8 Exercises, J.Wengrow Vol 2

DSA 14: Hash Table - Speed Comparisons [Part 3]

data structures

algorithms

Improving time-complexity of an algorithm with a hash table

DSA 13: Stacks - An Abstract Class [Part 1]

data structures

algorithms

Sometimes it’s nice to be structured & orderly

Calculus 14: n’th Derivative with `%` (modulo) & `sympy`

calculus

From Ch3-5 Derivatives of Trigonometric Functions, Thomas 13e pp.161

Calculus 13: Limit of Cosine

calculus

From Ch2-4 One-Sided Limits, Thomas 13e pp.91

DSA 12: Hash Tables - Collisions [Part 2]

data structures

algorithms

Collisions in Hash Tables explained with a suggestion solution

Calculus 12: Derivatives Of Trigonometric Functions

calculus

Using Python’s sympy library to find numeric & exact solutions

DSA 11: Hash Tables - Hash Functions [Part 1]

data structures

algorithms

Create hash tables, hash functions and replicate how the data is in memory

Calculus 11: More Sequences

calculus

From Ch10-1 Sequences, Thomas 13e pp.581

Calculus 10: Generating & Coding A Sequence

calculus

From Ch10-1 Sequences, Thomas 13e pp.581

DSA 10: Insertion Sort - Shift & Insert

data structures

algorithms

3rd attempt which uses less variable assigning

Calculus 9: Terms of Sequences - Selected Exercises

calculus

From Ch10-1 Sequences, Thomas 13e pp.581

DSA 9: Insertion Sort - With Test Scenarios

data structures

algorithms

Equivalent Implementations Using for & while-loops

ML 1: String Cleaning

machine learning

With Python’s split() and strip()

DSA 8: Big O - Analysing Algorithms

data structures

algorithms

Describing Algorithms & Functions in Big O notation - Chapter 5 Exercises, J.Wengrow Vol 2

LeetCode 5: 49 - Group Anagrams

leetcode

Calculus 8: Derivative of An Exponential

calculus

From Ch3.3 Derivatives, Thomas 13e pp.140

DSA 7: \(BubbleSort()\) Practice

data structures

algorithms

Implementing from scratch and charting the time complexity

DSA 6: Binary Search Practice

data structures

algorithms

Writing binary search from scratch and testing array sizes

DSA 5: Big O - String Select Function

data structures

algorithms

Chapter 3 Exercise 4, J.Wengrow Vol 2

DSA 4: Big-O - Chessboard & Grains Problem

data structures

algorithms

Chapter 3 Exercises 3, J.Wengrow Vol 2

Calculus 7: Rates of Change Applications

calculus

From Ch3.1.Ex25-31, Thomas 13e pp.126-127

DSA 3: Binary Search - Exercises

datastructures

algorithms

Chapter 2 Exercises, J.Wengrow Vol 2

Calculus 6: Find A Derivative And Tangent

calculus

From Ch3.1.Ex23, Thomas 13e pp.126

DSA 2: Array and Sets - Exercises

datastructures

algorithms

Chapter 1 Exercises, J.Wengrow Vol 2

Calculus 5: Find A Derivative And Tangent

calculus

From Ch3.1.Ex17, Thomas 13e pp.126

Calculus 4: Applying Binomial Theorem

calculus

binomialtheorem

Find the derivative and plot the tangent (from Ch3.1.Ex9, Thomas 13e pp.126)

DSA 1: Big-O - Arrays and Sets

datastructures

algorithms

Big-O for Array Operations

Code 22: Python Metaclasses - Customising Class Creation

coding

python

Being very meta

DP 4: Singleton Pattern

design patterns

A Design (or Anti) Pattern Allowing Only A Single Instance

Code 21: Magic Method: `call`

coding

python

Allowing instances to be called like functions

Code 20: Unicode, UTF-8 and Bytes

coding

Converting my (Chinese) name to bytes and back

Calculus 3: Synthetic Division

calculus

Learning a factoring technique (from Ex 2.2.85, Thomas 13e pp.77)

Calculus 2: Plotting functions with limits

calculus

Ch2.2: Limit of a Function & Limit Laws (Ex2.2.11-21, Thomas 13e pp.74)

[INCOMPLETE] DP 3: Interfaces [Part 2] - Protocols

design patterns

Programming to Interfaces rather than Implementation specificsgit

DP 2: Interfaces [Part 1] - `ABC` Abstract Base Classes

design patterns

Programming to Interfaces rather than Implementation specifics

Code 19: `uv` Python & Package Manager

coding

python

A modern alternative to creating & managing Python projects

DP 1: Encapsulation - Getter Method in Python

design patterns

Using Python’s @property to create a getter method

Code 15: Python Exceptions 101

coding

python

Del ving into Python Exceptions, In-Builts vs Custom Exceptions, Assert, Raise and Exception-Handlers

Code 18: Introduction to C# in Visual Studio Code

c#

Creating, Building and Running Simple C# Console Apps

Code 17: Transfer Multiple Issues via Github API in Bash

coding

github

bash

Run a simple loop to transfer multiple issues from one repo to another

Code 16: Open Source as a Beginner

coding

python

Learning How To Contribute to Open Source Projects as a Beginner

Code 14: Python Classes Basics 101

coding

python

Python Classes, Instance Objects, Data Attributes and Method Objects

Code 13: Shallow or Deep?

coding

python

Learning to copy the right way

Code 12: Create new key-bindings in VSCode via JSON file

coding

vscode

A handy keybinding to switch between Terminals in VSCode

Calculus 1: Inverse Properties of \(a^x\) and \(\log_a x\)

calculus

Exploring the compositions of \(a^x\), \(\log_a x\), \(e^x\) and \(\ln x\) and deriving the Change of Base formula

Code 11: Using Github API via Python

github

api

python

Learn to update an Issue Description with Github’s API

Code 10: Add a script to PATH

coding

linux

Run a script without specifying its path

Code 9: Creating and using Symlinks

coding

linux

Avoiding unnecessarily duplicating files with Symlinks

Code 8: How to install Quarto via WSL

coding

linux

Migrating quarto blog from windows to wsl

Code 7: Virtual Environments

coding

python

Setting up virtual environments to produce reproducible work

Collaborative Filtering - Latent Factor Matrix (Part 1)

machinelearning

Creating Latent Factors Matrix using set of Users, Items and Ratings

Random Forests - Feature Importance Plot (Part 4)

machinelearning

Building a Feature Importance Plot in a few lines of code

Random Forests - Random Forest Classifier (Part 3)

machinelearning

Building a Random Forest Classifier with the Sklearn framework

Random Forests - Decision Tree Classifier (Part 2)

machinelearning

Building a Decision Tree Classifier from scratch and then a framework called Sklearn

Random Forests - OneR Classifier (Part 1)

machinelearning

Building a OneR classifier model from scratch

Code 6: Measuring Model Accuracy

machine learning

Step-by-step guide on how to measure accuracy of a deeplearning model

Tabular Deep-Learning Model

deeplearning

machinelearning

ai

Building a Deep-Learning Neural Network Model from scratch based on tabular data

Code 5: Debugging a 1-Hidden-Layer Neural Network Model

coding

debugging

Documenting my debugging of a neural network model I built from scratch

Code 4: Create new Users in WSL

coding

linux

Quick instructions to set up a new user in wsl

Rectified Linear Unit (ReLU)

machinelearning

ai

mathematics

ReLU from scratch with Gradient Descent

Let’s Make Some Noise

machinelearning

ai

mathematics

A function to add gaussian noise

Code 3: Bash Basics

coding

linux

bash

Learning Bash from scratch

LA 6: More Eigen examples

linearalgebra

A few more worked examples

LA 4: Diagonal Matrices are trivial

linearalgebra

Showing the wonderful characteristics of Diagonal Matrices

LA 5: It’s nice to be similar (matrices)

linearalgebra

Short working equating eigenvalues between two similar matrices

Code 2: Data Science Machine

coding

linux

How to setup a Linux-based Python on a Windows PC for Data Science and Deep Learning Projects

Code 1: Github Issues Automation

coding

github

How to automate the closing of an issue in Github Projects via a Commit Message

LA 3: Eigenvales and Eigenvectors Example

linearalgebra

Working out some algebraic examples

KAGG 2: A Basic NLP model - [Competition Version]

kaggle

datascience

nlp

Training my first NLP Model

KAGG 1: A Basic NLP model

kaggle

datascience

nlp

Training my first NLP Model

LA 2: Eigen is my valentines in 2024

linearalgebra

Eigenvalues and Eigenvectors Mind-Map

LeetCode 4: 74 - Search a 2D Matrix

leetcode

Almost the same as binary search problem

LeetCode 3: 704 - Binary Search

leetcode

First binary search question

LA 1: Change of Basis

linearalgebra

An interpretation of change of basis

LeetCode 2: 150 - Evaluate Reverse Polish Notation

leetcode

Implement a Stack Class using Postfix Notation

LeetCode 1: 155 - Min Stack

leetcode

An introduction to .append(), .pop() and .min() list functions and creating them as method as part of a class

❄️LeetCode Posts❄️

leetcode

hello world

A page to archive my (naively hopeful daily) leetcode attempts.

Neural Networks in a Spreadsheet (Attempt 1)

machinelearning

ai

mathematics

spreadsheet

A failed attempt to apply neural network concepts in a spreadsheet

Neural Network Basics (Part 3)

machinelearning

ai

mathematics

Creating the ReLU Function

Neural Network Basics (Part 2)

machinelearning

ai

mathematics

Optimising with Gradient Descent

Neural Network Basics (Part 1)

machinelearning

ai

mathematics

Manually fitting a Line (Quadratic Function) to a dataset

How To Setup a Kaggle API

kaggle

datascience

coding

Continuing my Data Science journey with Kaggle

How to Build and Deploy a Deep-Learning Multi-Classifier Web App (Part 3)

machinelearning

ai

Host a neural network app live on HuggingFace

How to Build and Deploy a Deep-Learning Multi-Classifier Web App (Part 2)

machinelearning

ai

Create a local neural network Gradio App

How to Build and Deploy a Deep-Learning Multi-Classifier Web App (Part 1)

machinelearning

ai

Create a simple neural network model

How to choose a different Deep-Learning Model Architecture

machinelearning

ai

Today I’ll go through how to find and test different deep-learning architectures from Pytorch Image Models (timm) library made available here by Ross Wightman and use them…

Saving a Fast AI Model

machinelearning

ai

This is a short tutorial to save (export) down a fast ai model (pkl file).

Deploying My First Live App & it’s a Neural Network!

machinelearning

ai

Embedding a classic Convolutional Neural Network (CNN) Gradio ‘Cat versus Dog’ classifier Gradio App, hosted on HuggingFace Spaces, into my Quarto Blog. What a mouthful!

Image Classifier 1: Noodles vs Rice

machinelearning

ai

Today I’ll be attempting to build my first deep learning image classifier to distinguish between rice and noodles using knowledge gained from Jeremy Howards Fast AI course

Post With Git Clone

test

Learning how git work and

this is a post initiated by cloning existing repo.

Post With Sample Jupyter Notebook

testing

Learning how quarto works with jupyter notebooks. This is a sample editted notebook from fastai.

Post Without Code

testing

Learning how to quarto blog.

Welcome To My Blog

testing

This is the first post in a Quarto blog. Welcome!