class Dilan:
def __init__(self):
self.username = "Dilan Calvo"
self.role = "Programming Student"
self.education = "Technical High School - Web Development"
self.current_focus = ["Backend Development", "Machine Learning", "AI"]
self.learning = ["Django", "Python ML Libraries", "Algorithms"]
self.hobbies = ["Programming", "Gym πͺ", "Self-learning"]
def say_hi(self):
print("Thanks for visiting my profile! Always open to collaborate and learn.")
me = Dilan()
me.say_hi()- π Technical student focused on web development
- π» Passionate about backend with Django and Python
- π€ Exploring AI/ML - The future of technology
- ποΈ Fitness enthusiast - Clean code and healthy body
- π Self-taught at heart - I love learning everything
development_areas = {
"core_foundations": {
"programming": ["Python", "Data Structures", "Algorithms"],
"math_for_ai": ["Linear Algebra", "Probability", "Statistics"],
"software_engineering": ["Git", "REST APIs", "Database Design"]
},
"machine_learning": {
"supervised_learning": ["Regression", "Classification"],
"unsupervised_learning": ["Clustering", "Dimensionality Reduction"],
"tools": ["Scikit-Learn", "Pandas", "NumPy", "Matplotlib"]
},
"deep_learning": {
"neural_networks": ["ANN", "CNN", "RNN"],
"frameworks": ["TensorFlow", "Keras"]
},
"current_focus": "Building real-world AI systems with solid theoretical foundations"
}learning_path = {
"focus_areas": {
"Backend": ["Django", "REST APIs", "Databases"],
"AI/ML": ["Machine Learning", "Data Science", "Python Libraries"],
"Soft_Skills": ["Problem Solving", "Clean Code", "Git Workflow"]
},
"philosophy": "Learn something new every day π",
"status": "Always evolving π"
}mindset = {
"approach": "Self-taught and discipline-driven",
"balance": "πͺ Gym discipline + π» Coding passion = π Constant growth",
"values": ["Autodidact", "Perseverant", "Curious", "Evolving"],
"motto": "Code is poetry in motion"
}