From 3cdadffee9c13f762cce27540a6a232da4c161ac Mon Sep 17 00:00:00 2001 From: halil ibrahim deniz <62566319+HalilDeniz@users.noreply.github.com> Date: Fri, 1 Dec 2023 05:46:51 -0500 Subject: [PATCH] Add files via upload --- 30 Days Essentials/Days-1-3.md | 71 +++++++++++++++++++ 30 Days Essentials/Days-11-14.md | 89 ++++++++++++++++++++++++ 30 Days Essentials/Days-15-18.md | 95 +++++++++++++++++++++++++ 30 Days Essentials/Days-19-22.md | 116 +++++++++++++++++++++++++++++++ 30 Days Essentials/Days-23-26.md | 106 ++++++++++++++++++++++++++++ 30 Days Essentials/Days-27-30.md | 94 +++++++++++++++++++++++++ 30 Days Essentials/Days-4-6.md | 82 ++++++++++++++++++++++ 30 Days Essentials/Days-7-10.md | 87 +++++++++++++++++++++++ 30 Days Essentials/Readme.md | 42 +++++++++++ 9 files changed, 782 insertions(+) create mode 100644 30 Days Essentials/Days-1-3.md create mode 100644 30 Days Essentials/Days-11-14.md create mode 100644 30 Days Essentials/Days-15-18.md create mode 100644 30 Days Essentials/Days-19-22.md create mode 100644 30 Days Essentials/Days-23-26.md create mode 100644 30 Days Essentials/Days-27-30.md create mode 100644 30 Days Essentials/Days-4-6.md create mode 100644 30 Days Essentials/Days-7-10.md create mode 100644 30 Days Essentials/Readme.md diff --git a/30 Days Essentials/Days-1-3.md b/30 Days Essentials/Days-1-3.md new file mode 100644 index 0000000..4856632 --- /dev/null +++ b/30 Days Essentials/Days-1-3.md @@ -0,0 +1,71 @@ +### **Day 1: Introduction to Python** +- Python is a high-level, interpreted programming language known for its readability and simplicity. +- It is versatile and widely used in various domains, including web development, data analysis, artificial intelligence, and more. +- Python code is executed line by line, making it an excellent choice for beginners. +- Example: + +```python +# This is a simple Python program that prints a message +print("Hello, World!") +``` + +### **Day 2: Variables and Data Types** +- Variables are used to store and manipulate data in Python. +- Python supports various data types, including: + - Strings (text): `name = "John"` + - Integers (whole numbers): `age = 30` + - Floats (decimal numbers): `height = 6.1` + - Lists (ordered collections of items): `fruits = ["apple", "banana", "cherry"]` + - Tuples (immutable, ordered collections): `point = (3, 4)` + - Dictionaries (key-value pairs): `person = {"name": "Alice", "age": 25}` +- Variables are dynamically typed, meaning their data type can change during runtime. +- Example: + +```python +name = "John" +age = 30 +height = 6.1 +fruits = ["apple", "banana", "cherry"] +person = {"name": "Alice", "age": 25} +``` + +### **Day 3: Conditional Statements and Loops** +- Conditional statements allow your code to make decisions based on conditions. +- Common conditional statements include `if`, `elif` (else if), and `else`. +- Loops, such as `for` and `while`, are used for repetitive tasks. + +**Conditional Statements:** +```python +x = 10 +if x > 5: + print("x is greater than 5") +elif x == 5: + print("x is equal to 5") +else: + print("x is less than 5") +``` + +**For Loop:** +- For loops are used to iterate over a sequence (e.g., a list or string). +- Example: + +```python +fruits = ["apple", "banana", "cherry"] +for fruit in fruits: + print("I love " + fruit) +``` + +**While Loop:** +- While loops continue executing as long as a specified condition is True. +- Example: + +```python +count = 0 +while count < 5: + print("Count: " + str(count)) + count += 1 +``` + +These examples provide a deeper understanding of Python's core concepts. Make sure to run them in a Python environment to see the results. You can install Python by downloading it from the official Python website [**python.org**](https://www.python.org/downloads/). After installation, you can use a code editor or Python's built-in IDLE to write and run Python code. + +These foundational concepts will serve as the building blocks for your Python journey. Continue to explore and experiment with Python to solidify your understanding and become a proficient Python programmer. \ No newline at end of file diff --git a/30 Days Essentials/Days-11-14.md b/30 Days Essentials/Days-11-14.md new file mode 100644 index 0000000..9f314ff --- /dev/null +++ b/30 Days Essentials/Days-11-14.md @@ -0,0 +1,89 @@ +### **Day 11: Functions** +Functions are essential building blocks in Python that encapsulate a set of instructions. + +- **Function Basics:** + - Functions are reusable blocks of code that perform a specific task. + - You can define your own functions in Python. +- **Function Definition and Calling:** + - Define functions using the `def` keyword, and call them with arguments. + - Example: + + ```python + def greet(name): + print(f"Hello, {name}!") + + greet("Alice") # Call the greet function with the argument "Alice." + ``` + +- **Function Parameters:** + - Functions can accept parameters (inputs) to perform actions on. + - Parameters are defined within parentheses in the function definition. +- **Function Invocation:** + - When a function is called, it executes the code within its block and may return a result. + +### **Day 12: Function Parameters and Return Values** +Functions can take parameters (inputs) and return values (outputs). + +- **Parameters:** + - Parameters allow you to pass data into a function. + - Functions can accept multiple parameters. + - Example: + + ```python + def add(x, y): + result = x + y + return result + + sum_result = add(3, 5) + print(sum_result) # Prints the result of the add function, which is 8. + ``` + +- **Return Values:** + - The `return` statement is used to send a result back from a function. + - Functions can return values of various data types. + +### **Day 13: Built-in Modules** +Python provides built-in modules that offer additional functionality. + +- **Importing Modules:** + - You can use the `import` statement to access built-in modules. + - Modules extend Python's capabilities for various purposes. + - Example: + + ```python + import math + + sqrt_result = math.sqrt(25) # Calculate the square root of 25. + print(sqrt_result) # Prints the result, which is 5.0. + ``` + +- **Common Built-in Modules:** + - Python has a wide range of built-in modules, including `math`, `random`, `datetime`, and `os`, among others. + - These modules provide functions and classes to solve common programming problems. + +### **Day 14: Creating Your Own Modules** +You can create your own Python modules to organize and reuse your code. + +- **Module Basics:** + - A module is a Python file containing functions, variables, and classes. + - It allows you to organize and encapsulate related code. +- **Creating a Custom Module:** + - You can create your own modules by defining functions and variables in a Python file. + - Example: + + ```python + # my_module.py + def greet(name): + print(f"Hello, {name}!") + + # wifi-app.py + import my_module + + my_module.greet("Bob") # Call the greet function from the custom module. + ``` + +- **Module Reusability:** + - Modules promote code reusability and maintainability. + - You can use modules across multiple Python scripts to share functionality. + +Understanding functions and modules is essential for writing organized, reusable, and efficient code in Python. By mastering these concepts, you can efficiently structure your programs and make them more maintainable. Practice with these examples to become proficient in using functions and modules in your Python projects. \ No newline at end of file diff --git a/30 Days Essentials/Days-15-18.md b/30 Days Essentials/Days-15-18.md new file mode 100644 index 0000000..742f935 --- /dev/null +++ b/30 Days Essentials/Days-15-18.md @@ -0,0 +1,95 @@ +### **Day 15: File Handling** +File handling in Python is essential for reading from and writing to files. + +- **Opening a File:** + - Use the `open()` function to interact with files, specifying the file name and the mode ("r" for read, "w" for write, "a" for append, etc.). +- **Reading from a File:** + - To read the contents of a file, use the `read()` method on the file object. +- **Writing to a File:** + - To write content to a file, use the `write()` method on the file object. + +**Example of reading from a file:** +```python +# Open a file for reading +file = open("example.txt", "r") + +# Read the contents of the file +content = file.read() +print(content) + +# Close the file +file.close() +``` + +**Example of writing to a file:** +```python +# Open a file for writing +file = open("example.txt", "w") + +# Write content to the file +file.write("Hello, Python!") + +# Close the file +file.close() +``` + +### **Day 16: File Modes and Context Managers** +Understanding file modes and using context managers (with statement) can simplify file handling. + +- **File Modes:** + - File modes, such as "r" (read), "w" (write), and "a" (append), determine how the file is opened. +- **Context Managers:** + - Context managers ensure that files are automatically closed, even if an exception occurs. + +**Example of using a context manager to read a file:** +```python +# Using a context manager to automatically close the file +with open("example.txt", "r") as file: + content = file.read() + print(content) +``` + +### **Day 17: Error Handling (Try-Except Blocks)** +Error handling allows you to gracefully handle exceptions and errors in your code. + +- **Try-Except Blocks:** + - Use `try` and `except` blocks to catch and handle exceptions. +- **Exception Types:** + - Python has many built-in exception types, and you can create custom exceptions. + +**Example of handling an exception:** +```python +try: + num = int("abc") # This will raise a ValueError +except ValueError as e: + print(f"An error occurred: {e}") +``` + +### **Day 18: Error Handling (Multiple Exceptions and Custom Exceptions)** +Handling multiple exceptions and creating custom exceptions enhance your error-handling capabilities. + +- **Handling Multiple Exceptions:** + - You can use multiple `except` blocks to handle different exception types. +- **Custom Exceptions:** + - Create custom exception classes by defining new exception types. + +**Example of handling multiple exceptions and creating a custom exception:** +```python +try: + result = 10 / 0 # This will raise a ZeroDivisionError +except ZeroDivisionError as e: + print(f"Division by zero error: {e}") +except Exception as e: + print(f"An unexpected error occurred: {e}") + +# Custom exception +class MyCustomError(Exception): + pass + +try: + raise MyCustomError("This is a custom error.") +except MyCustomError as e: + print(f"Custom error caught: {e}") +``` + +Mastering file handling and error handling is crucial for writing robust and reliable Python programs. These skills enable you to work with files effectively and gracefully manage errors that may occur during program execution. Practice with these examples to become proficient in file handling and error handling in Python. \ No newline at end of file diff --git a/30 Days Essentials/Days-19-22.md b/30 Days Essentials/Days-19-22.md new file mode 100644 index 0000000..3f2ce7b --- /dev/null +++ b/30 Days Essentials/Days-19-22.md @@ -0,0 +1,116 @@ +### **Day 19: Introduction to Object-Oriented Programming (OOP)** +Object-Oriented Programming is a programming paradigm that uses objects to represent real-world entities. + +- **Classes and Objects:** + - Classes define blueprints for creating objects. + - Objects are instances of classes. +- **Attributes and Methods:** + - Classes can have attributes (data) and methods (functions) that define their properties and behavior. + +**Example of creating a simple class and an object:** +```python +# Define a simple class +class Dog: + def __init__(self, name): + self.name = name + + def bark(self): + print(f"{self.name} says woof!") + +# Create an object (instance) of the Dog class +my_dog = Dog("Buddy") +my_dog.bark() # Call the bark method on the object +``` + +### **Day 20: Class Attributes and Methods** +Classes can have attributes and methods that define their behavior. + +- **Class Attributes:** + - Class attributes are shared among all instances of the class. +- **Instance Attributes:** + - Instance attributes are specific to individual objects. +- **Methods:** + - Methods are functions defined within a class. + +**Example of class attributes and methods:** +```python +class Circle: + def __init__(self, radius): + self.radius = radius + + def area(self): + return 3.14159 * self.radius**2 + + def circumference(self): + return 2 * 3.14159 * self.radius + +my_circle = Circle(5) +print(f"Area: {my_circle.area()}") +print(f"Circumference: {my_circle.circumference()}") +``` + +### **Day 21: Inheritance** +Inheritance allows you to create new classes that inherit attributes and methods from existing classes. + +- **Parent Class (Superclass):** + - The parent class defines common attributes and methods. +- **Child Class (Subclass):** + - The child class inherits from the parent class and can have additional attributes and methods. + +**Example of inheritance:** +```python +# Parent class +class Animal: + def __init__(self, name): + self.name = name + + def speak(self): + pass + +# Child class inheriting from Animal +class Dog(Animal): + def speak(self): + return f"{self.name} says woof!" + +my_dog = Dog("Buddy") +print(my_dog.speak()) # Calls the speak method of the Dog class +``` + +### **Day 22: Polymorphism** +Polymorphism allows objects of different classes to be treated as objects of a common superclass. + +- **Common Superclass:** + - Create a common superclass that defines shared methods or attributes. +- **Subclasses with Different Implementations:** + - Subclasses provide their own implementations of methods. + +**Example of polymorphism:** +```python +# Common superclass +class Shape: + def area(self): + pass + +# Subclasses with different implementations of area +class Circle(Shape): + def __init__(self, radius): + self.radius = radius + + def area(self): + return 3.14159 * self.radius**2 + +class Rectangle(Shape): + def __init__(self, width, height): + self.width = width + self.height = height + + def area(self): + return self.width * self.height + +shapes = [Circle(5), Rectangle(4, 6)] + +for shape in shapes: + print(f"Area: {shape.area()}") +``` + +Object-Oriented Programming (OOP) is a fundamental concept in Python and many other programming languages. It allows you to model real-world entities, promote code organization, and enhance code reusability. Practice with these examples to become proficient in using OOP principles in Python. \ No newline at end of file diff --git a/30 Days Essentials/Days-23-26.md b/30 Days Essentials/Days-23-26.md new file mode 100644 index 0000000..a8c48e2 --- /dev/null +++ b/30 Days Essentials/Days-23-26.md @@ -0,0 +1,106 @@ +### **Day 23: Database Connection** +Python can connect to various types of databases using different database libraries. One common library for working with databases in Python is `sqlite3` for SQLite databases. + +- **Connecting to a Database:** + - Use the `sqlite3.connect()` method to connect to a database. + - This method creates a new database if it doesn't exist or opens an existing one. + +**Example of connecting to an SQLite database:** +```python +import sqlite3 + +# Connect to a database (creates a new one if it doesn't exist) +conn = sqlite3.connect("my_database.db") + +# Create a cursor object to execute SQL commands +cursor = conn.cursor() + +# Close the connection when done +conn.close() +``` + +### **Day 24: Creating Tables and Inserting Data** +You can create tables in a database and insert data into them using SQL commands. + +- **Creating Tables:** + - Use the `execute()` method to run SQL CREATE TABLE queries. +- **Inserting Data:** + - Use the `execute()` method to run SQL INSERT queries. + +**Example of creating a table and inserting data:** +```python +import sqlite3 + +conn = sqlite3.connect("my_database.db") +cursor = conn.cursor() + +# Create a table +cursor.execute(""" + CREATE TABLE IF NOT EXISTS students ( + id INTEGER PRIMARY KEY, + name TEXT, + age INTEGER + ) +""") + +# Insert data into the table +cursor.execute("INSERT INTO students (name, age) VALUES (?, ?)", ("Alice", 25)) +cursor.execute("INSERT INTO students (name, age) VALUES (?, ?)", ("Bob", 30)) + +# Commit the changes and close the connection +conn.commit() +conn.close() +``` + +### **Day 25: Querying Data** +You can retrieve data from a database table using SQL SELECT queries. + +- **Querying Data:** + - Use the `execute()` method to run SQL SELECT queries. + - Use the `fetchall()` method to retrieve all rows from a query. + +**Example of querying data from a table:** +```python +import sqlite3 + +conn = sqlite3.connect("my_database.db") +cursor = conn.cursor() + +# Query data from the table +cursor.execute("SELECT * FROM students") +students = cursor.fetchall() + +# Print the results +for student in students: + print(f"ID: {student[0]}, Name: {student[1]}, Age: {student[2]}") + +conn.close() +``` + +### **Day 26: Updating and Deleting Data** +You can use SQL UPDATE and DELETE queries to modify or remove data from a database table. + +- **Updating Data:** + - Use SQL UPDATE queries to modify existing data. +- **Deleting Data:** + - Use SQL DELETE queries to remove data from the table. + +**Example of updating and deleting data:** +```python +import sqlite3 + +conn = sqlite3.connect("my_database.db") +cursor = conn.cursor() + +# Update data +cursor.execute("UPDATE students SET age = 26 WHERE name = 'Alice'") + +# Delete data +cursor.execute("DELETE FROM students WHERE name = 'Bob'") + +# Commit the changes and close the connection +conn.commit() +conn.close() +``` + +Understanding how to work with databases and SQL in Python is crucial for many real-world applications where data storage and retrieval are required. The `sqlite3` library is suitable for learning and small-scale projects, but for larger databases, you may consider other database systems like MySQL or PostgreSQL. Practice with these examples to become proficient in database operations in Python. \ No newline at end of file diff --git a/30 Days Essentials/Days-27-30.md b/30 Days Essentials/Days-27-30.md new file mode 100644 index 0000000..2914dfc --- /dev/null +++ b/30 Days Essentials/Days-27-30.md @@ -0,0 +1,94 @@ +### **Day 27: Introduction to Web Development** +Web development involves creating websites and web applications. Python can be used for web development with the help of web frameworks like Flask or Django. + +- **Understanding Web Development:** + - Web development involves designing and building websites or web applications that are accessible through web browsers. + - It encompasses both the front-end (user interface) and back-end (server-side) development. + +### **Day 28: Flask - Creating a Basic Web Application** +Flask is a lightweight web framework for Python. You can create a basic web application with Flask. + +- **Getting Started with Flask:** + - Install Flask using `pip install flask`. + - Create a Flask application and define routes. + - Use decorators like `@app.route('/')` to map URLs to view functions. + - Start the development server using `app.run()`. + +**Example of a basic Flask web application:** +```python +from flask import Flask + +app = Flask(__name__) + +@app.route('/') +def hello_world(): + return 'Hello, World!' + +if __name__ == '__main__': + app.run() +``` + +### **Day 29: Flask - Adding Routes and Templates** +Flask uses routes to map URLs to view functions. You can use templates to generate dynamic HTML content. + +- **Adding Routes and Templates:** + - Define multiple routes for different URLs. + - Use the `render_template` function to render HTML templates. + - Pass data from the view function to the template. + +**Example of adding routes and using templates in Flask:** +```python +from flask import Flask, render_template + +app = Flask(__name__) + +@app.route('/') +def index(): + return 'Home Page' + +@app.route('/about') +def about(): + return 'About Us' + +@app.route('/contact') +def contact(): + return 'Contact Us' + +@app.route('/profile/') +def profile(username): + return render_template('profile.html', username=username) + +if __name__ == '__main__': + app.run() +``` + +### **Day 30: Flask - Handling Forms and Data** +Web applications often require handling user input through forms. You can use Flask to create forms and handle form data. + +- **Handling Forms in Flask:** + - Create HTML forms with input fields. + - Use the `request` object in Flask to access form data. + - Handle form submissions and process user input. + +**Example of handling forms in Flask:** +```python +from flask import Flask, render_template, request + +app = Flask(__name__) + +@app.route('/') +def index(): + return render_template('index.html') + +@app.route('/submit', methods=['POST']) +def submit(): + if request.method == 'POST': + name = request.form['name'] + email = request.form['email'] + return f'Thank you, {name}, for submitting your email: {email}' + +if __name__ == '__main__': + app.run() +``` + +Web development is a vast field, and Flask is an excellent starting point for building web applications with Python. However, for more extensive and feature-rich applications, you may consider learning Django, another popular Python web framework. These examples provide a foundation for creating web applications and handling user interactions using Flask. You can continue to explore and expand your web development skills from here. \ No newline at end of file diff --git a/30 Days Essentials/Days-4-6.md b/30 Days Essentials/Days-4-6.md new file mode 100644 index 0000000..bc52431 --- /dev/null +++ b/30 Days Essentials/Days-4-6.md @@ -0,0 +1,82 @@ +### **Day 4: Conditional Statements** +Conditional statements are crucial for decision-making in your code. + +**`if` Statement:** +- The `if` statement allows you to execute a block of code if a condition is True. +- Example: + +```python +age = 18 +if age >= 18: + print("You are an adult.") +else: + print("You are not an adult.") +``` + +**`elif` (else if) Statement:** +- The `elif` statement is used for multiple conditions within the same block of code. +- Example: + +```python +grade = 75 +if grade >= 90: + print("A") +elif grade >= 80: + print("B") +elif grade >= 70: + print("C") +else: + print("Fail") +``` + +### **Day 5: Loops** +Loops are essential for performing repetitive tasks in your code. + +**`for` Loop:** +- The `for` loop is used to iterate over a sequence, such as a list, and execute a block of code for each item. +- Example: + +```python +fruits = ["apple", "banana", "cherry"] +for fruit in fruits: + print(fruit) +``` + +**`while` Loop:** +- The `while` loop continues executing as long as a specified condition is True. +- Example: + +```python +count = 0 +while count < 5: + print(count) + count += 1 +``` + +### **Day 6: More on Loops** +You can use loops for various tasks and fine-tune their behavior. + +**Looping Through a Range:** +- The `range()` function generates a sequence of numbers that can be used in loops. +- Example: + +```python +for i in range(5): # This will loop from 0 to 4. + print(i) +``` + +**Using `break` and `continue` Statements:** +- The `break` statement exits a loop prematurely when a certain condition is met. +- The `continue` statement skips the current iteration and moves to the next one. +- Example: + +```python +for i in range(10): + if i == 3: + continue # Skip iteration when i equals 3. + if i == 8: + break # Exit the loop when i equals 8. + print(i) +``` + +Conditional statements and loops are fundamental constructs in Python programming. They provide you with the tools to control the flow of your program and efficiently handle repetitive tasks. Practicing with these examples will help you become more proficient in using them in your Python code. \ No newline at end of file diff --git a/30 Days Essentials/Days-7-10.md b/30 Days Essentials/Days-7-10.md new file mode 100644 index 0000000..d6a1b79 --- /dev/null +++ b/30 Days Essentials/Days-7-10.md @@ -0,0 +1,87 @@ +### **Day 7: Lists** +Lists are versatile and commonly used data structures in Python. + +- **List Basics:** + - Lists are ordered collections of items. + - They can contain elements of different data types. +- **Accessing List Elements:** + - You can access elements in a list by their index, starting from 0. + - Example: + + ```python + fruits = ["apple", "banana", "cherry"] + print(fruits[0]) # Access the first item ("apple"). + print(fruits[1]) # Access the second item ("banana"). + ``` + +- **List Methods:** + - Lists have various built-in methods, such as `append()`, `insert()`, `remove()`, and `pop()`, to manipulate their contents. + +### **Day 8: Tuples** +Tuples are similar to lists, but they have unique characteristics. + +- **Tuple Basics:** + - Tuples are also ordered collections of elements. + - They are immutable, meaning their contents cannot be changed after creation. +- **Accessing Tuple Elements:** + - You can access elements in a tuple using indexing, just like lists. + - Example: + + ```python + coordinates = (3, 4) + print(coordinates[0]) # Access the first element (3). + print(coordinates[1]) # Access the second element (4). + ``` + +- **Use Cases:** + - Tuples are often used for collections of related values, such as coordinates or date and time components. + +### **Day 9: Dictionaries** +Dictionaries are powerful data structures for organizing data. + +- **Dictionary Basics:** + - Dictionaries consist of key-value pairs. + - They are unordered, and keys must be unique. +- **Accessing Dictionary Values:** + - You can access values in a dictionary using their keys. + - Example: + + ```python + person = { + "name": "Alice", + "age": 25, + "city": "New York" + } + print(person["name"]) # Access the value associated with the "name" key. + print(person["age"]) # Access the value associated with the "age" key. + ``` + +- **Dictionary Methods:** + - Dictionaries offer methods like `keys()`, `values()`, and `items()` to work with their keys and values. + +### **Day 10: More on Data Structures** +Learn advanced techniques for manipulating data structures. + +- **List Manipulation:** + - You can add, remove, and modify elements in lists. + - Example: + + ```python + fruits = ["apple", "banana", "cherry"] + fruits.append("orange") # Add an element to the end of the list. + fruits.remove("banana") # Remove a specific element from the list. + fruits[0] = "kiwi" # Modify an element in the list. + ``` + +- **Dictionary Manipulation:** + - Dictionaries can be extended, updated, and modified. + - Example: + + ```python + person = {"name": "Alice", "age": 25, "city": "New York"} + person["country"] = "USA" # Add a new key-value pair to the dictionary. + del person["city"] # Remove a key-value pair from the dictionary. + person["age"] = 26 # Modify the value associated with the "age" key. + ``` + +Understanding and effectively using data structures like lists, tuples, and dictionaries is crucial in Python programming. Practice with these examples to gain confidence in managing and organizing data in your Python code. \ No newline at end of file diff --git a/30 Days Essentials/Readme.md b/30 Days Essentials/Readme.md new file mode 100644 index 0000000..3d17c7c --- /dev/null +++ b/30 Days Essentials/Readme.md @@ -0,0 +1,42 @@ +# 📚 30 Day Python Essentials + +Welcome to the **30 Day Python Essentials** section of the Python Learning Roadmap! This series of lessons is designed to provide you with a solid foundation in Python programming. Each day focuses on specific topics and provides practical examples and exercises to reinforce your learning. + +## 📋 Course Content + +### [Day 1-3](Days-1-3.md): Basic Concepts and Installation +- Understand Python's introduction and why it's popular. +- Learn the basic syntax of Python and its core data types (string, integer, float, list, tuple, dictionary). +- Install Python on your computer. + +### [Day 4-6](Days-4-6.md): Conditional Statements and Loops +- Master conditional statements (if, elif, else) and logical operators. +- Gain proficiency in using loops (for and while). + +### [Day 7-10](Days-7-10.md): Data Structures +- Deepen your knowledge of data structures like lists, tuples, and dictionaries. +- Practice working with data structures through hands-on exercises. + +### [Day 11-14](Days-11-14.md): Functions and Modules +- Define and utilize functions in Python. +- Explore basic Python modules (math, random, datetime). + +### [Day 15-18](Days-15-18.md): File Handling and Error Handling +- Learn the art of file reading and writing. +- Master error handling techniques using try-except blocks. + +### [Day 19-22](Days-19-22.md): Object-Oriented Programming (OOP) +- Understand classes and objects. +- Dive into OOP concepts, including inheritance and polymorphism. + +### [Day 23-26](Days-23-26.md): Database Connection and SQL +- Establish connections with databases (e.g., SQLite). +- Learn to execute basic SQL queries for data manipulation. + +### [Day 27-30](Days-27-30.md): Web Development and Frameworks +- Explore Python web frameworks like Flask and Django. +- Create a simple web application and gain insights into web development. + +This 30-day series is designed to provide you with essential Python programming skills. By dedicating time each day to follow along and complete the exercises, you'll gradually build your Python proficiency and gain confidence in your programming skills. + +Feel free to reach out if you have any questions or need assistance along the way. Happy learning!