A Visual and Interactive Journey into Python Programming." Dive into captivating visuals and interactive exercises, perfect for beginners and intermediate programmers. Unleash your Python skills with this immersive eBook. Let the adventure begin!
Excerpt:
Python is a simple programming language that anyone can learn at any age. But at the same time, Python is a multi-purpose programming language that has a wide range of usages including:
• Web Development
• Desktop Development
• Data Analysis
• Data Visualization
• Machine Learning and AI (artificial intelligence)
• Game Development
• Task automation and Everyday Tasks
• Much more
In addition, Python is recommended if you’re looking for an easy language to learn first. It is quite simple to understand for someone who’s new to programming.
What makes Python powerful?
One of the reasons Python is so powerful and vast is that there are so many libraries and frameworks for it. A programming library is a collection of prewritten codes that save us from needing to reinvent the wheel.
For example, in Data Analysis programs, we display the results with numbers, graphs and charts as data visualization expresses the results better than textual numbers. To visualize the results, we have two options:
1- Reinvent the wheel: In this case, we have to write everything from scratch. It means we have to write thousands of lines of code to visualize the data. So, we have to spend a lot of time and money on it.
2- Use libraries: Or we can simply use existing libraries written by other companies or individuals. In this case, they have written the ins and outs of drawing charts and graphs. All we need to do is to simply use the library in our program with a few lines of code without any worries about bugs and errors!
Therefore, we usually need to use Python along with libraries to write our programs in the most optimal way possible.
Also, frameworks are similar to libraries in some ways. A framework is a set of codes usually written by other companies or individuals that can be used to define the structure and skeleton of our programs.
So, both the libraries and frameworks are prewritten codes developed by other developers or companies that we use to save our time and money.
The most popular Python libraries and frameworks
There are lots of libraries and frameworks out there. But the most developers and companies usually use:
• Python + Django to develop secure and maintainable websites
• Python + Tkinter or PyQt to develop Graphical User Interfaces or GUI applications
• Python + Pandas for data science
• Python + Matplotlib for data visualization
• Python + NumPy for AI and machine learning
• Python + Pygame to create video games
• Python + Requests or CSV or APScheduler or Selenium and many other libraries for task automation
Even though there are lots of libraries and frameworks for Python, but you don’t need to learn all of them!
In other words, it doesn’t make sense for one person to be a web developer, a software developer, a game developer, an AI developer or a data science developer at the same time! Instead, we should become a professional in one or two of these.
So, there is no book or course or bootcamp that covers everything about Python. Instead, anyone who wants to enter in this field, must do two things:
1. Learns the Python programming languages
2. Learns libraries and frameworks that are related to his/her choice For example, if you want to be a data scientist developer, you must learn the Python language plus libraries like NumPy.
What this book offers to you
So, in this book, you will get a strong understanding about the basics of Python programming language. After learning the basic concepts about Python, you can choose your desired field and based on your decision, choose another book or course which specifically teaches you a certain library or framework. That is why we have lots of resources that each of which has addressed a specific field in Python.
How to become a professional Python developer
As a conclusion, the best way to become a professional Python developer is to first learn and understand the foundation concepts about the Python. After that, focus on your favorite field (libraries and frameworks). Don’t rush and just focus on learning the Python programming language properly. This is what we’re going to do in this book.
