Free advanced Python course with certificate

Cheney 96 Published: 12/16/2024

Free advanced Python course with certificate

Here is a free advanced Python course with a certificate, covering at least 300 words:

Advanced Python Course

Course Overview:

This advanced Python course is designed for developers who want to take their skills to the next level. In this comprehensive course, we'll explore topics such as data structures, algorithms, and file operations, all while building real-world applications.

Certificate of Completion:

Upon completing all coursework and assignments, you'll receive a certificate of completion, which can be added to your resume or LinkedIn profile.

Course Outline:

Module 1: Data Structures Lists Creating and indexing lists List comprehensions and slicing Sorting and reversing lists Tuples Creating and indexing tuples Tuple comprehensions and slicing Comparing tuples with other data structures Sets Creating and manipulating sets Set operations (union, intersection, difference) Dictionaries Creating and accessing dictionaries Dictionary comprehensions and key-value pairs Module 2: Algorithms Sorting Algorithms: Bubble sort Selection sort Insertion sort Merge sort Quick sort Searching Algorithms: Linear search Binary search Graphs: Representing graphs using dictionaries and lists Basic graph algorithms (BFS, DFS) Module 3: File Operations Reading and writing CSV files Working with JSON data Introduction to NoSQL databases (e.g., MongoDB) Understanding file modes (read, write, append) Module 4: Advanced Topics Decorators Creating and using decorators Common use cases for decorators Generators and iterators Creating and using generators Understanding iterator protocol Context managers Creating and using context managers Understanding how context managers work with try/except blocks

Coursework:

Throughout the course, you'll complete a series of assignments that challenge your understanding of Python concepts. These assignments will also provide hands-on experience working with real-world data structures and algorithms.

Additional Resources:

Online resources (e.g., documentation, tutorials) Additional reading materials and references Access to instructors for questions and feedback

By the end of this course, you'll have a solid understanding of advanced Python concepts and be able to apply them in practical projects. With your new skills, you can tackle complex data analysis, web development, or machine learning projects with ease.

Start Your Journey Today!

Enroll now and get started on your path to becoming an expert in Advanced Python Programming!

Note: This is not a comprehensive course, but rather an outline of advanced Python topics.

Python classes for beginners

I'm happy to help you learn about Python classes as a beginner! Here's an overview of the basics:

What is a Class?

In Python, a class is a template for creating objects. An object is an instance of a class, and it has its own set of attributes (data) and methods (functions). Think of it like a blueprint for building a house. The blueprint (class) defines the design and features of the house (object), but each actual house built from that blueprint will have its own unique characteristics.

Key Components of a Class

Class Definition: A class is defined using the class keyword followed by the name of the class. For example: class Animal:. Attributes: These are the data members of the class, which are used to describe the characteristics of an object. In Python, attributes can be variables or other types of objects. Methods: These are functions that belong to a class and are used to perform specific actions on an object. Methods can operate on the object's attributes.

Creating a Class

Here is an example of how you might create a simple Dog class:

class Dog:

def init(self, name, age):


self.name = name


self.age = age


def bark(self):


print("Woof!")

Let's break this down:

__init__: This is the constructor method that gets called when a new object is created from the class. It sets the initial values for the attributes name and age. self: This refers to the current object being operated on. name and age: These are attributes of the Dog class.

Creating Objects (Instances) from a Class

To create an instance of the Dog class, you would use the following syntax:

my_dog = Dog("Fido", 3)

Now, my_dog is an object that has its own attributes and methods. For example:

print(my_dog.name)  # Output: Fido

print(my_dog.age)   # Output: 3


my_dog.bark()  # Output: Woof!

Why Use Classes?

Using classes is a powerful way to organize your code and create reusable, self-contained units. They allow you to:

Define custom types and objects that can be used in your program. Encapsulate data and behavior (methods) together within an object. Inherit common characteristics from parent classes and extend their functionality.

This is just the tip of the iceberg when it comes to using classes in Python! As you continue to learn, you'll discover more advanced topics like inheritance, polymorphism, and encapsulation. Happy coding!

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