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Python phase 3 moringa revamp

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What I've Learned in Four Weeks: From Python Basics to SQLAlchemy



Introduction



Over the past four weeks, I've embarked on an exciting journey to master Python programming. Starting from the basics, I gradually delved into more advanced topics, culminating in the use of SQLAlchemy for database interactions. In this blog post, I will share my learning journey, highlighting key concepts and showcasing some code samples to illustrate what I've learned.



Week 1: Getting Started with Python

My journey began with the fundamentals of Python. During this week, I focused on understanding the syntax and basic constructs of the language.



Key Concepts

Variables and Data Types: I learned about different data types such as integers, floats, strings, and booleans.

Control Structures: I explored if-else statements, for and while loops, and how to use them to control the flow of my programs.

Functions: I understood the importance of functions for code reusability and modularity.

Code Sample: Basic Python



`def greet(name):

return f"Hello, {name}!"



print(greet("World"))`



Week 2: Data Structures and Libraries

In the second week, I focused on Python's built-in data structures and some essential libraries.



Key Concepts

Lists, Tuples, and Dictionaries: I learned how to store and manipulate collections of data.

List Comprehensions: I discovered a concise way to create lists.

Libraries: I got introduced to libraries like math and datetime.

Code Sample: List Comprehensions



squares = [x**2 for x in range(10)]

print(squares)



Week 3: Object-Oriented Programming (OOP)

The third week was dedicated to understanding the principles of object-oriented programming in Python.



Key Concepts

Classes and Objects: I learned how to define classes and create objects.

Inheritance: I explored how to inherit attributes and methods from other classes.

Polymorphism and Encapsulation: I understood how to design flexible and reusable code.

Code Sample: OOP in Python



`class Animal:

def init(self, name):

self.name = name




CODE
def speak(self):
raise NotImplementedError("Subclasses must implement this method")




class Dog(Animal):

def speak(self):

return f"{self.name} says Woof!"



dog = Dog("Buddy")

print(dog.speak())`



Week 4: Working with Databases using SQLAlchemy

In the final week, I delved into SQLAlchemy, a powerful ORM (Object-Relational Mapping) library for Python, which allowed me to interact with databases seamlessly.



Key Concepts

Engine and Sessions: I learned how to set up the engine and create sessions to interact with the database.

Models and Schemas: I explored how to define models and map them to database tables.

CRUD Operations: I practised performing Create, Read, Update, and Delete operations using SQLAlchemy.



Code Sample: SQLAlchemy Basics



from sqlalchemy import create_engine, Column, Integer, String

from sqlalchemy.ext.declarative import declarative_base

from sqlalchemy.orm import sessionmaker






Create an engine



engine = create_engine('sqlite:///example.db', echo=True)






Define a base class for declarative class definitions



Base = declarative_base()






Define a model



class User(Base):

__tablename__ = 'users'

id = Column(Integer, primary_key=True)

name = Column(String)

age = Column(Integer)






Create the table



Base.metadata.create_all(engine)






Create a new session



Session = sessionmaker(bind=engine)

session = Session()






Add a new user



new_user = User(name='Alice', age=30)

session.add(new_user)

session.commit()






Query the database



users = session.query(User).all()

for user in users:

print(user.name, user.age)



Conclusion

The past four weeks have been incredibly rewarding. Starting from the basics of Python, progressing through data structures and OOP, and finally mastering SQLAlchemy has equipped me with a solid foundation for future projects. Each step has been a building block, and I am excited to continue expanding my knowledge and applying these skills to real-world applications.



If you're just starting with Python, I encourage you to take it one step at a time and enjoy the learning process. Happy coding!

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