10+ Best Python Tutorials for Beginners [2024 JUL]— Learn Python Online
Learn Python for easier web development with the best Python tutorials for beginners in 2024.
Python is an object-orientated language that closely resembles the English language which makes it a great language to learn for beginners as well as seasoned professionals. Python is easy to learn a programming language with a wide variety of well-paying jobs in many fields, including data science, web development, and network programming. Python is one of the most widely used programming languages in the AI field of Artificial Intelligence thanks to its simplicity. It can seamlessly be used with data structures, and other frequently used AI algorithms. Examples of sites that use Python are Instagram, YouTube, Reddit, NASA, IBM, Nokia, etc.
1. Programming with Python: Hands-On Introduction for Beginners
This course is designed for beginners who have been looking to obtain a hands-on learning experience with Python, teaching you concepts of programming right from the basics, and Python being the simplest language for a beginner to start with. It is the right time to start learning the in-demand Python language because of its gaining popularity in the fields of Data Science, Backend Development, Internet of Things, etc.
2. Programming for Everybody
This course aims to teach everyone the basics of programming computers using Python.It covers the basics of how one constructs a program from a series of simple instructions in Python. This course will cover Chapters 1–5 of the textbook “Python for Everybody”. Once a student completes this course, they will be ready to take more advanced programming courses. This course covers Python 3.
In this course you will learn:
- Describe the basics of the Python programming language
- Use variables to store, retrieve and calculate information
- Install Python and write your first program
- Utilize core programming tools such as functions and loops
3. Advanced Python
Develop your Python programming skills.
The course includes:
- Python Language Features
- Built-In Functions
- Advanced Python Functions
- Advanced Collections
- Advanced Classes and Objects
- Using Logging
- Python Comprehensions
In this course, you can learn how to leverage next-level Python features such as object-oriented special class methods, use logging to track performance and user activity, see how to port code from Python 2 to 3, and make your code more efficient and easier to read and maintain.
The course also shows how to manipulate data, build custom classes and functions, create lists, and write more elegant, optimized code.
4. Complete Python Machine Learning & Data Science for Dummies
Machine Learning and Data Science for programming beginners using python with scikit-learn, SciPy, Matplotlib & Pandas
In this course, you will learn:
- the concepts, definitions, and types of Machine Learning.
- classification and applications of Machine Learning.
- basics of Python.
- basics of NumPy.
- CSV data file.
- how to load and read CSV data file.
This course focuses mainly in Machine Learning. Throughout this course, you will be preparing a machine to make it ready for a prediction test.
Also, you will learn the basics of Python, NumPy, matplotlib, and Pandas throughout this course.
5. Using Python for Research
Take your introductory knowledge of Python programming to the next level and learn how to use Python 3 for your research.
In this course, you will learn:
- Python 3 programming basics (a review).
- Python tools (e.g., NumPy and SciPy modules) for research applications.
- how to apply Python research tools in practical settings.
This course bridges the gap between introductory and advanced courses in Python. In this course, after first reviewing the basics of Python 3, you will learn about tools commonly used in research settings. This version of the course includes a new module on statistical learning.
Using a combination of a guided introduction and more independent in-depth exploration, you will get to practice your new Python skills with various case studies chosen for their scientific breadth and their coverage of different Python features.
6. Full Speed Python
You will examine the fundamentals of the language. You can also experiment with the code provided and, therefore, gain a higher understanding of how things work.
The course includes:
- Basic Data Types
- Lists
- Modules and Functions
- Iteration & Loops
- Dictionaries
- Classes
- Iterators
- Generators
- Asynchronous Programming
7. Python for Data Analysts
This course covers the basics of getting started with Python, including the semantics of variables, simple and complex data types, and the use of loops for iteration and functions for code reuse.
In this course, you will:
- conceptually understand some of Python’s strengths, relative to other technologies.
- gain the ability to write Python programs and utilize fundamental building blocks of programming and data analysis.
- learn how programming languages such as Python, spreadsheets such as Microsoft Excel, and SQL-based technologies such as databases differ from each other, and also how they inter-operate.
- plunge into Python programming, installing Python and getting started with simple programs.
- understand the ways in which variables are used to hold data, and how simple and complex data types in Python differ in their semantics.
Finally, you will round out your knowledge by working with conditional evaluation using if statements, loops and functions. You will learn how Python treats functions as first-class entities, a key enabler of functional programming.
When you are finished with this course, you will have the skills and knowledge to identify situations when Python is the right choice for you, and to implement simple but solid programs using Python.
8. Build Python Web Apps with Flask
Learn the basics of this popular framework so that you can create your own web application with a Python back-end.
In this course, you will learn how to:
- understand the basics of Python, one of the world’s most popular and powerful programming languages.
- understand data structures and the power of looping.
- create your own Flask application and add functionality with templates and forms.
- add data storage capabilities to your web apps.
- add advanced functionality like personalization and security to Flask apps using accounts and authentication.
- deploy your own Flask application so you can share your app with the world.
- create and deploy a fully-featured Flask application.
- understand the foundations of web development.
Learn how to use Python and the Flask framework to build a back-end for interactive web apps.
Add databases to your web apps to customize user experiences and ensure personalization and security for the people using your web apps.
9. AI Programming with Python
Learn Python, NumPy, pandas, Matplotlib, PyTorch, Calculus, and Linear Algebra — the foundations for building your own neural network.
In this course, you will learn how to:
- start coding with Python, drawing upon libraries and automation scripts to solve complex problems quickly.
- use all the key tools for working with data in Python: Jupyter Notebooks, NumPy, Anaconda, pandas, and Matplotlib.
- understand the foundational linear algebra you need for AI success: vectors, linear transformations, and matrices — as well as the linear algebra behind neural networks.
- understand the foundations of calculus to understand how to train a neural network: plotting, derivatives, the chain rule, and more.
- gain a solid foundation in the hottest fields in AI: neural networks, deep learning, and PyTorch.
Learn the essential foundations of AI: the programming tools (Python, NumPy, PyTorch), the math (calculus and linear algebra), and the key techniques of neural networks (gradient descent and backpropagation).
10. Interactive Programming in Python
The goal of the course is to introduce students to Python Version 3.x programming using hands-on instruction. It will show how to install Python and use the Spyder IDE (Integrated Development Environment) for writing and debugging programs. This course starts with the bare bones of python, showing you everything from scratch. If you are looking to learn the Python programming language with a hands-on approach, you came to the right place.
11. Python for Beginners with Examples
This Python course will get you up and run with Python very quickly saving you time spent googling for video tutorials, exercises, and examples. The course covers all that. You will start from scratch and by the end of the course you will know how to write Python programs, and you will build your first Python program that has a graphical user interface (GUI) created with Python Tkinter. The Python program you will develop can run both on Windows and Mac as a standalone program.This course also guides you on how to go about building more advanced programs with Python. You will learn how to use Python third-party libraries for developing programs in a wide range of application areas. If you want to learn Python for building web applications, handling databases, doing data science, image processing, and desktop applications check out the paid course “The Python Mega Course: Build 10 Real World Applications”.
12. The Four Pillars of OOP in Python 3 for Beginners
In this course, you will learn how to achieve object-oriented programming in Python by learning how to bundle attributes and methods within a class and instantiating them through an object.You will learn about the four pillars that hold together the object-oriented programming, which are Abstraction, Encapsulation, Polymorphism, and Inheritance.
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