The benefits of learning Python

Python is a fantastic language to learn, whether it’s your first or third language. Due to its very lenient grammar requirements and high degree of readability, Python is frequently suggested for beginning programmers. Despite this, Python is far from being a beginner’s language and ranks among the top languages used by software engineers worldwide. In the StackOverflow developer survey from 2022, 58 percent of those learning to code said they use Python.

A flexible general purpose language is Python. Python has been enhanced to accommodate a wide range of use cases with numerous libraries like:

1. Pandas for data science
2. Scikit Learn for machine learning
3. SciPy, for scientific computing As well as web frameworks like:
4. Flask Django for web development

These range from all-inclusive, entry-level classes to focused, intermediate classes that build on a previous foundation of Python fundamentals. Each course on this list consists entirely of text and includes recurrent interactive quizzes. Additionally, any code may be performed directly in your browser, eliminating the need for a third-party coding environment.

We are aware that the abundance of online coding classes and learning resources can quickly overwhelm one. If you’re just browsing the Internet, it can be challenging to know where to start or how to keep up with programming trends. Depending on your unique goals, we will inform you exactly where to obtain dependable, tried-and-true learning resources. Each course will be broken down into a brief summary, a list of essential ideas, requirements, who the course is for, and the primary learning objective or conclusion. After that, we’ve provided a summary of our thorough learning pathways, which combine material from numerous distinct courses.

 

 

Top 10 Python courses online

 

1. Start by learning Python 3 on the web (Beginner)

We begin the list with the standard Python introductory course. For people who are interested in learning more about Python or coding in general, this course is ideal. The fact that this course is completely free makes it stand out from the others on this list and makes it a great method to learn about and practice Python coding without having to make any sort of commitment. It begins with an explanation of what Python is and its fundamental components before moving on to more advanced ideas like iteration and data structures. This course thoroughly covers the fundamentals of:

1. Variables and data types
2. Contingency clauses
3. Functions
4. Loops
5. Bibliographical and Data Structures

Prerequisites: None
Use Case: You want to start your coding journey by creating a base of Python knowledge to build off of.
Outcome: You will be able to create your own basic applications in Python 3.

2. Python 101: Using it Interactively Python 3 Programming Tutorial (Beginner)

This Python 3 introductory course is ideal for beginners. This course serves as a thorough introduction to Python programming, beginning with the very fundamentals. It covers a lot of ground and assumes no prior knowledge.

There are 5 sections to the course:

1. Basics of Python in Part I
2. A portion of the Python Standard Library in Part II
3. Intermediate content is in Part III.
4. Part IV: Mini-lessons
5. Part V: Distribution and packaging of Python

There are too many key ideas discussed in this course to mention them all, but some of the highlights are as follows:

1. String manipulation
2. Lists, tuples, and dictionaries
3. Conditional statements and loops
4. Importing modules
5. Functions and classes
6. Logging
7. Tkinter and Lambda
8. SQLAlchemy, virtual environments, and more!

Prerequisites: None
Use Case: You want to learn the most popular programming language in the world. It covers everything you will need to know to build a rock-solid base of knowledge in Python 3.
Outcome: You should feel comfortable taking on more involved, intermediate courses or projects in Python 3.

 

3. Create Your Own Python Chatbot (Beginner)

The fundamentals of artificial intelligence (AI) and its historical development are covered in this extremely succinct one-hour course. Additionally, it introduces the idea of machine learning (ML) and how important it is to developments in AI. The course provides a variety of interactive code examples, including:

1. Global clock
2. Calculus
3. The chatbot

Prerequisites: None
Use Case: You’re a Python beginner who wants a quick shot of knowledge. This is an ideal beginner course that builds on fundamental knowledge of variables, loops, control statements, and lists.
Outcome: You will have built your own chatbot that is able to be trained once it passes security checks.

 

4. Plot Data Visually Using Matplotlib for Python (Beginner)

One of the most widely used tools for data science and data visualization is the Python module Matplotlib. Matplotlib is a must-have for Python-using data scientists. It is intended for beginners and teaches the Matplotlib library. It is important to note that while not absolutely necessary, having a basic understanding of Python libraries such as the data analysis tool Pandas and the mathematics extension NumPy can help to understand. You will learn how to use Matplotlib to build and modify plots in this course. It begins by outlining the fundamentals and showing you how to change individual parts. After that, it looks at the wide range of plot types that Matplotlib offers. More specifically, the course covers:

1. Draw a figure correctly
2. How to incorporate text into a plot, among other things
3. How to create various types of plots

Prerequisites: None
Use Case: You want to learn the various methods for visually representing data in Python. This course is designed for beginners.
Outcome: You will have important data science skills to add to your resume like the ability to graphically represent data analysis.

 

 

5. Python Recursion for Coding Interviews (Intermediate)

The focus of this course shifts from beginners to those with more experience. It is often an intermediate-level course that concentrates on teaching recursion to people who already have a strong Python foundation, even if you have no prior knowledge of it. Recursion’s definition and applications are covered at the outset of the course. The distinctions between iteration and recursion are then discussed. Throughout-browser widgets are used in the course to demonstrate progressively challenging recursion problems involving:

1. Numbers
2. Strings
3. Arrays
4. Data structures

Prerequisites: Basic knowledge of programming in Python.
Use Case: You’re a Python programmer that struggles with recursion. This course is designed to help you ace any recursion-related interview questions.
Outcome: You will be able to solve all kinds of real-world recursion problems.

6. Study Python’s Object-Oriented Programming Language (Intermediate)

The object-oriented programming (OOP) paradigm regulates the state of a program’s flow by employing mutable objects and loop iteration. It classifies variables that are associated with functions into objects. The main reason it is the most popular programming approach today is that it is so accessible. This course begins with the very fundamentals of OOP and gradually progresses to more complex ideas. By emphasizing how each OOP principle applies to Python as well as how unique Python features efficiently facilitate OOP, the course is specifically designed for Python. This course includes:

1. Classes and objects
2. Information hiding
3. Inheritance
4. Polymorphism
5. Object relationships

Prerequisites: Procedural programming experience and knowledge of functions and methods
Use Case: You’re a programmer who wants to learn OOP fundamentals for the first time, or wants to brush up on more advanced concepts like polymorphism.
Outcome: You will have familiarity with OOP and the fundamental pillars of the program.

 

 

7. Python Web Development Unleashed with Django (Intermediate)

Python-based Django is a free and open-source web application framework. It is widely employed in web development. Django seeks to create a simple, useful design while streamlining the web development process by eliminating tedious processes. This course demonstrates step-by-step how to start web development in Python using Django. It depends on prior Python knowledge, so if you know the language and want to gain expertise with Django web development, look no further. The interactive project for the course will have you creating a fictitious music playlist website named “Zing It.” The following topics will be covered in the course:

1. Django basics
2. Django applications
3. Templates in Django
4. Static files, models, and forms in Django

Prerequisites: Basic knowledge of Python, grasp of basic internet concepts like HTTP, knowledge of HTML and CSS, familiarity with concepts of relational databases and SQL.
Use Case: You’re a prospective or current python developer and want to learn the Django framework for web development.
Outcome: You will have a fully-fledged Django application to show off in your portfolio.

 

 

8. Flask: Create Python web applications (Intermediate)

This course was also designed to teach Python web application development. Particularly in this course, Flask, a micro-framework, is taught. Like Django, Flask is open-source, but because it doesn’t require any specific tools or libraries, it is referred to as a micro-framework. Flasks are renowned for being comparatively light and simple to pick up. Prerequisites for this course are comparable to those for the Django course before it. You don’t need to have any prior knowledge of web development or frameworks, but you do need to have a basic understanding of Python and its syntax. Even the fundamentals of the Internet, including client-server architecture, are reviewed at the start of the course. This project-based course is focused on creating a website for the fictitious Paws Rescue Center animal shelter. Following that, the course covers:

1. Static templates and static files
2. Dynamic templates
3. Forms and requests
4. Database connection
5. Operations on models

Prerequisites: Basic Python concepts, knowledge of HTML and CSS, as well as HTTP protocol and client-server architecture
Use Case: You’re interested in learning quick and easy web development skills. This course helps prospective full-stack developers expand their skill-set, or current developers brush up and stay current.
Outcome: You will have a working Flask web application to add to your portfolio.

9. Python Data Structures and Algorithms (Intermediate)

One of the most crucial ideas in contemporary computer science is the relationship between data structures and algorithms. For both real-world situations and interview coding challenges, a thorough understanding of these ideas is necessary. This course, which is intended for students who need to brush up on their problem-solving abilities or prepare for interviews, requires a basic understanding of Python. The course mostly covers data structures like:

Most notably, the course covers data structures like:

1. Stacks
2. Linked lists
3. Arrays
4. Binary Trees
5. Binary Search Trees

There are problems and solutions for the following algorithms and techniques:

1. Binary Search
2. Recursion
3. String Processing

Prerequisites: Familiarity with basic programming concepts in Python
Use Case: You are a programmer in Python and wish to learn the crucial intermediate concepts of data structures and algorithms.
Outcome: You should have a healthy grasp of data structures and algorithms pertinent to contemporary interview questions and the real-world application of problem-solving techniques.

 

10. Use Python to create a REST API and deploy it to Microsoft Azure (Intermediate)

You will develop a REST API in this course by using the Python FastAPI lightweight web framework. This course will teach you how to create and launch an API if you are a web developer already or are interested in doing so. In particular, this course demonstrates how to create the following two APIs:

1. Character Recognition Through Optics (supporting concurrent processing)
2. Using the Azure Text Analytics Service, perform sentiment analysis and key phrase extraction

The author advises that you devote one week to each chapter of this course. There is a lot of information that needs adequate time to process and comprehend.

Prerequisites: This course is not for beginners and requires a background in Python basics, as well as more advanced Python concepts like logging.
Use Case: You are confident with Python basics and want to learn how to build an API using FastAPI.
Outcome: You will have a solid understanding of what it takes to build an API as well as one of your own APIs deployed to Microsoft Azure.