EasyPy3: Python for Beginners
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EasyPy3: Python for Beginners

EasyPy3: Python for Beginners

EasyPy3: Python for Beginners


A comprehensive introduction for absolute beginners. Learn from scratch with many projects, coding exercises & quizzes!

- Programming and where Python fits in
- Data types and operators
- Input, output and variables
- Conditional statements and loops
- Data collections; lists, tuples and dictionaries
- Your own functions in Python
- Multiple projects, coding exercises and quizzes in each section to aid learning
- End of course program challenge and an exam to test your knowledge

EasyPy3 is a Bestselling course aimed at complete beginners to Python, giving a comprehensive introduction to the programming language. You won't just be looking at the screen and watching someone code, nor will you just listen to someone go on and on about the theory.

The course is designed to give students multiple opportunities to have hands-on experience, keeping the student engaged so learning can be made fun. EasyPy3 aims to give you a good understanding of the topic in simple terms with visual aids before showing you how to code it in Python.

The course covers all the topics required for you to become an Entry-Level Python Programmer.

Python is one of the most popular programming languages in the world, ranked number 1 in many polls online. Python is used by some of the leading companies in the world, the likes of:

- Google,
- Facebook,
- Instagram,
- Dropbox,
- Spotify,
- Netflix,
- and many more.

The course will cover all the fundamentals of Python programming, with multiple projects, coding exercises and quizzes in each section. By the end of the course, you will have built 24 console based programs, most of them on your own.

Once you complete, the final coding challenge and exam, you will demonstrate you know everything needed to be an entry level programmer and will receive a Certificate from Free online tutorials.

If you’re still unsure, please do check out the free previews available to see if you like my teaching style. On top of that, there’s a no hassle 30-day money back guarantee, so you really have nothing to lose! So why wait? Enrol now!

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I am glad that I took this course. There was always something to learn in every lesson. The Jupyter notebooks provided are very helpful. The two milestone projects and the final capstone project helped me gain a lot of confidence. Moreover, there were short challenges, assignments, and quizzes which also helped a lot.

Learn more about Python

Whether you work in machine learning or finance, or are pursuing a career in web development or data science, Python is one of the most important skills you can learn. Python's simple syntax is especially suited for desktop, web, and business applications.

Python's design philosophy emphasizes readability and usability. Python was developed upon the premise that there should be only one way (and preferably one obvious way) to do things, a philosophy that has resulted in a strict level of code standardization.
 
The core programming language is quite small and the standard library is also large. In fact, Python's large library is one of its greatest benefits, providing a variety of different tools for programmers suited for many different tasks.

What is Python?

Python is a general-purpose, object-oriented, high-level programming language. Whether you work in artificial intelligence or finance or are pursuing a career in web development or data science, Python is one of the most important skills you can learn.
 
Python's simple syntax is especially suited for desktop, web, and business applications. Python's design philosophy emphasizes readability and usability.

Python was developed on the premise that there should be only one way (and preferably, one obvious way) to do things, a philosophy that resulted in a strict level of code standardization.

The core programming language is quite small and the standard library is also large. In fact, Python's large library is one of its greatest benefits, providing different tools for programmers suited for a variety of tasks.

Python vs. R: What is the Difference?

Python and R are two of today's most popular programming tools. When deciding between Python and R, you need to think about your specific needs.

On one hand, Python is relatively easy for beginners to learn, is applicable across many disciplines, has a strict syntax that will help you become a better coder, and is fast to process large datasets.

On the other hand, R has over 10,000 packages for data manipulation, is capable of easily making publication-quality graphics, boasts superior capability for statistical modeling, and is more widely used in academia, healthcare, and finance.

What does it mean that Python is Object-Oriented?

Python is a multi-paradigm language, which means that it supports many programming approaches. Along with procedural and functional programming styles, Python also supports the object-oriented style of programming.

In object-oriented programming, a developer completes a programming project by creating Python objects in code that represent objects in the actual world. These objects can contain both the data and functionality of the real-world object.

To generate an object in Python you need a class. You can think of a class as a template. You create the template once, and then use the template to create as many objects as you need. Python classes have attributes to represent data and methods that add functionality.

What are the limitations of Python?

Python is a widely used, general-purpose programming language, but it has some limitations. Because Python is an interpreted, dynamically typed language, it is slow compared to a compiled, statically typed language like C.

Therefore, Python is useful when speed is not that important. Python's dynamic type system also makes it use more memory than some other programming languages, so it is not suited to memory-intensive applications.

The Python virtual engine that runs Python code runs single-threaded, making concurrency another limitation of the programming language. Though Python is popular for some types of game development, its higher memory and CPU usage limits its usage for high-quality 3D game development.

How is Python used?

Python is a general programming language used widely across many industries and platforms. One common use of Python is scripting, which means automating tasks in the background.

Many of the scripts that ship with Linux operating systems are Python scripts. Python is also a popular language for machine learning, data analytics, data visualization, and data science because its simple syntax makes it easy to quickly build real applications.

You can use Python to create desktop applications. Many developers use it to write Linux desktop applications, and it is also an excellent choice for web and game development. Python web frameworks like Flask and Django are a popular choice for developing web applications.

How stable is Python?

Python is a very stable language, which is one reason it is so popular. New, stable releases have come out every 6 to 18 months since the first release in 1991 and every 12 months since the 3.9 version release. There are two versions of the language: 2.x and 3.x.

The recommended version is 3.x, as the 2.x version is no longer supported even though some developers still use it. The Python core developers release "bug fixes" for older versions of Python 3.x, and with each bug fix, the stability of these versions increase.

These releases fix problems with the language, are heavily tested before release, and are guaranteed to use the same interfaces through a series of releases. This means updating a Python version with a bug fix version won't break existing software while fixing issues.

What jobs use Python?

Python is a popular language that is used across many industries and in many programming disciplines. DevOps engineers use Python to script website and server deployments.

Web developers use Python to build web applications, usually with one of Python's popular web frameworks like Flask or Django. Data scientists and data analysts use Python to build machine learning models, generate data visualizations, and analyze big data.

Financial advisors and quants (quantitative analysts) use Python to predict the market and manage money. Data journalists use Python to sort through information and create stories. Machine learning engineers use Python to develop neural networks and artificial intelligent systems.

How do I Learn Python on my own?

Python has a simple syntax that makes it an excellent programming language for a beginner to learn. To learn Python on your own, you first must become familiar with the syntax.

But you only need to know a little bit about Python syntax to get started writing real code; you will pick up the rest as you go. Depending on the purpose of using it, you can then find a good Python tutorial, book, or course that will teach you the programming language by building a complete application that fits your goals.

If you want to develop games, then learn Python game development. If you're going to build web applications, you can find many courses that can teach you that, too. Free online tutorials and online courses are a great place to start if you want to learn Python on your own.

Requirements

- Computer
- Internet connection
- Basic mathematics skills
- Basic problem solving skills
- Understand English language

Who this course is for:

- Beginner with no coding experience
- Beginner with some coding experience
- Intermediate wanting to recap & learn more
- Advanced will not learn anything new, sorry

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