Python in Practice - 15 Projects to Master Python
Python in Practice - 15 Projects to Master Python
Duration: 20h 44m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 3.21 GB
Genre: eLearning | Language: English
Duration: 20h 44m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 3.21 GB
Genre: eLearning | Language: English
In this course, the initial few sections help you take a tour of programming in Python, covering all the basic to advanced concepts that are further used to build projects from scratch.
You will create 15+ applications with Python. First, you will be creating a Dice Roller (a Python GUI application with Tkinter to generate random dice outputs) and Total Seconds and Days Counter. After that, you will create a Length Converter Python GUI application. Next, you will work on the image-to-icon converter to convert .png, .jpg, and .jpeg images into icons. You will work on a random element selector, perform data analysis and data visualization with the help of NumPy, Pandas, and matplotlib. You will also create a trees survey report, user credentials data, and sales data report. You will create eBook Store with Django 3 and an eCommerce website with HTML, CSS, and Bootstrap. You will also create a weight predictor, rainy or clear weather, and flavor predictor.
Finally, you will make a rating bot, which will create a natural language processing model to rate comments and reviews automatically, and Face Recognizer that performs human face recognition with computer vision and OpenCV.
By the end of this course, you will have learned the programming fundamentals to an advanced level with Python 3 and become an advanced-level programmer.
What You Will Learn
Learn about built-in functions in Python and how to create one
Create a Python GUI application with Tkinter to generate random dice outputs
Analyze the sales report in a week with Python data analysis
Generate a survey report with data science
Create an NLP model to rate comments and reviews automatically
Perform human face recognition with computer vision and OpenCV
Audience
This course is ideal for individuals curious about Python programming, beginners at programming, and Python developers curious about data science, data analysis, and data visualization. This will also help full-stack web developers, artificial intelligence researchers, machine learning researchers, and GUI application developers.
You just need curiosity and enthusiasm to get going with this course; the rest of everything will be taught from scratch.