🔤 A–Z of Programming 💻

A – Array
A data structure that stores a collection of elements of the same type, accessed by index.

B – Binary
A base-2 number system using 0s and 1s, the foundation of how computers represent data and perform operations.

C – Class
A blueprint in object-oriented programming for creating objects, defining attributes and methods.

D – Data Structure
An organization of data for efficient access and modification, like lists or trees.

E – Exception
An error or unexpected event during program execution that can be handled to prevent crashes.

F – Function
A reusable block of code that performs a specific task, often taking inputs and returning outputs.

G – Git
A version control system for tracking changes in code, enabling collaboration and history management.

H – HashMap/Hash Table
A data structure storing key-value pairs for fast lookups using hashing.

I – Inheritance
A mechanism where a class inherits properties and methods from a parent class in OOP.

J – JavaScript
A versatile language for web development, handling client-side interactivity and server-side with Node.js.

K – Keyword
A reserved word in a language with special meaning, like "if" or "for", not usable as variable names.

L – Loop
A control structure repeating code until a condition is met, such as for or while loops.

M – Modulus
An operator (%) returning the remainder of division, useful for cycles or checks.

N – Null
A special value indicating absence of data or no object reference.

O – Object
An instance of a class containing data (attributes) and behavior (methods) in OOP.

P – Pointer
A variable storing the memory address of another variable for direct access.

Q – Queue
A FIFO (First-In-First-Out) data structure for processing items in order.

R – Recursion
A function calling itself to solve smaller instances of a problem.

S – Stack
A LIFO (Last-In-First-Out) data structure, like a stack of plates.

T – Testing
Verifying a program's correctness through unit tests, integration, and more.

U – Unicode
A standard encoding characters from all writing systems for global text handling.

V – Variable
A named storage for data that can change during program execution.

W – While Loop
Repeats code while a condition remains true, offering flexible iteration.

X – XOR
A logical operator true if operands differ, used in cryptography and checks.

Y – Yield
A keyword returning a value from a generator, enabling lazy iteration.

Z – Zeroes (numpy.zeros)
Creates an array filled with zeros, useful for initialization.

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Rust free courses and learning materials

Non-Video tutorials:

Rust Tutorial
by University of Virginia (cs4414 Spring 2014.)
Authors: Alex Lamana, Rob Michaels, Wil Thomason, and David Evans for
http://aml3.github.io/RustTutorial/html/toc.html

24daysofrust
by Zbigniew Siciarz
http://zsiciarz.github.io/24daysofrust/index.html

Introduction to Rust Tutorial
by CoderHQ
https://www.koderhq.com/tutorial/rust/#tutorial-list

Take your first steps with Rust
by Microsoft
⏰ 5 hr 31 min
📚 11 Modules
https://docs.microsoft.com/en-us/learn/paths/rust-first-steps/

🎯 7 best YouTube channels to learn AI from scratch 👇

1/ DeepLearning AI:
https://www.youtube.com/c/DeepLearningAI

2/ Krish Naik:
https://www.youtube.com/channel/UCNU_lfiiWBdtULKOw6X0Dig

3/ StatQuest with Josh Starmer:
https://www.youtube.com/c/joshstarmer

4/ 3Blue1Brown:
https://www.youtube.com/c/3blue1brown

5/ FreeCodeCamp
https://www.youtube.com/c/Freecodecamp

6/ Yannic Kilcher:
https://www.youtube.com/c/YannicKilcher

7/ IBM Technology:
https://www.youtube.com/c/IBMTechnology

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1) Identify your Digits Dataset : https://www.kaggle.com/c/digit-recognizer/data

2) Recommendation Engine : https://cseweb.ucsd.edu/~jmcauley/datasets.html

3) Visual QA : https://visualqa.org/download.html

4) Vox Celebrity : http://www.robots.ox.ac.uk/~vgg/data/voxceleb/

5) Breast cancer classification : https://www.kaggle.com/martinab/breast-cancer-classification-wisconsin-dataset

6) Traffic signals : http://benchmark.ini.rub.de/?section=gtsrb&subsection=dataset

7) Image caption generator : https://academictorrents.com/details/9dea07ba660a722ae1008c4c8afdd303b6f6e53b

A lot of folks on X have been asking how I’m shipping every day… this is how I get ideas btw 👉👈

@selfmadecoder

Harvard University offers a ton of FREE online courses.
From Computer Science to Artificial Intelligence.
Here are 10 FREE courses you don't want to miss

1. Introduction to Computer Science
An introduction to the intellectual enterprises of computer science and the art of programming.
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This course takes you deeply into the design and implementation of web apps with Python, JavaScript, and SQL using frameworks like Django, React, and Bootstrap.
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3. Introduction to Programming with Scratch

A gentle introduction to programming that prepares you for subsequent courses in coding.
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4. Introduction to Programming with Python
An introduction to programming using Python, a popular language for general-purpose programming, data science, web programming, and more.
Check here 👇
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5. Understanding Technology
This is CS50’s introduction to technology for students who don’t (yet!) consider themselves computer persons.
Check here 👇
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6. Introduction to Artificial Intelligence with Python
Learn to use machine learning in Python in this introductory course on artificial intelligence.
Check here 👇
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7. Introduction to Game Development
Learn about the development of 2D and 3D interactive games in this hands-on course, as you explore the design of games such as Super Mario Bros., Pokémon, Angry Birds, and more.
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This is CS50’s introduction to computer science for business professionals.
Check here 👇
https://pll.harvard.edu/course/cs50s-computer-science-business-professionals-0?delta=0


9. Mobile App Development with React Native
Learn about mobile app development with React Native, a popular framework maintained by Facebook that enables cross-platform native apps using JavaScript without Java or Swift.
Check here 👇
https://pll.harvard.edu/course/cs50s-mobile-app-development-react-native?delta=0

10. Introduction to Data Science with Python
Join Harvard University instructor Pavlos Protopapas in this online course to learn how to use Python to harness and analyze data.
Check here 👇
https://pll.harvard.edu/course/introduction-data-science-python?delta=0

Artificial Neural Networks with Java
Igor Livshin, 2019

Some helpful Data science projects for beginners

https://www.kaggle.com/c/house-prices-advanced-regression-techniques

https://www.kaggle.com/c/digit-recognizer

https://www.kaggle.com/c/titanic

BEST RESOURCES TO LEARN DATA SCIENCE AND MACHINE LEARNING FOR FREE

https://developers.google.com/machine-learning/crash-course

https://www.kaggle.com/learn/overview

https://forums.fast.ai/t/recommended-python-learning-resources/26888

https://www.fast.ai/

https://imp.i115008.net/JrBjZR

https://ern.li/OP/1qvkxbfaxqj

ENJOY LEARNING 👍👍

Machine Learning in Microservices
Mohamed Abouahmed, 2023

BREAKING

Just ....

Software Engineer
Company: Tholons Inc.

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- Experience level: Entry-Level
Source: josad_software
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🛠 DAILY DEV COMMANDS CHEAT SHEET


# ============================================
# Start / Stop
# ============================================
docker compose up # Start all services (foreground)
docker compose up -d # Start in background
docker compose down # Stop all services
docker compose down -v # Stop + delete volumes (fresh DB)
docker compose restart web # Restart specific service

# ============================================
# Logs
# ============================================
docker compose logs -f web # Follow web logs
docker compose logs -f # Follow all logs
docker compose logs --tail 100 web # Last 100 lines

# ============================================
# Django Commands
# ============================================
docker compose exec web uv run python manage.py shell
docker compose exec web uv run python manage.py makemigrations
docker compose exec web uv run python manage.py migrate
docker compose exec web uv run python manage.py createsuperuser
docker compose exec web uv run python manage.py test

# ============================================
# Database
# ============================================
docker compose exec db psql -U postgres -d habsify_db
# Then: \dt (list tables), \q (quit)

# ============================================
# Container Shell
# ============================================
docker compose exec web bash # Get into web container
docker compose exec db bash # Get into postgres container

# ============================================
# Status
# ============================================
docker compose ps # See running containers
docker compose top # See processes in containers

# ============================================
# Clean Slate
# ============================================
docker compose down -v # Delete everything
docker system prune -a # Delete unused images/cache