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Python in Practice - 15 Projects to Master Python
Python in Practice - 15 Projects to Master Python

Python in Practice - 15 Projects to Master Python: Learn and master Python programming from scratch and build 15+ projects like a pro

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Profile Icon Rahul Mula
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€18.99 per month
Video Oct 2022 20hrs 40mins 1st Edition
Video
€44.99
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Free Trial
Renews at €18.99p/m
Arrow left icon
Profile Icon Rahul Mula
Arrow right icon
€18.99 per month
Video Oct 2022 20hrs 40mins 1st Edition
Video
€44.99
Subscription
Free Trial
Renews at €18.99p/m
Video
€44.99
Subscription
Free Trial
Renews at €18.99p/m

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Key benefits

  • Learn to apply the skills learned with the help of guided code exercises
  • A course designed for beginners in Python but takes you through the advanced levels
  • Build 15+ projects with the help of codes, coding exercises, quizzes, and other allied resources

Description

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. All the resource files are added to the GitHub repository at: https://github.com/PacktPublishing/Python-In-Practice---15-Projects-to-Master-Python

Who is this book for?

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.

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

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Oct 31, 2022
Length: 20hrs 40mins
Edition : 1st
Language : English
ISBN-13 : 9781804618486
Category :
Languages :
Tools :

What do you get with a Packt Subscription?

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Product feature icon 50+ new titles added per month, including many first-to-market concepts and exclusive early access to books as they are being written.
Product feature icon Innovative learning tools, including AI book assistants, code context explainers, and text-to-speech.
Product feature icon Thousands of reference materials covering every tech concept you need to stay up to date.
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Product Details

Publication date : Oct 31, 2022
Length: 20hrs 40mins
Edition : 1st
Language : English
ISBN-13 : 9781804618486
Category :
Languages :
Tools :

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Table of Contents

29 Chapters
Programming with Python: Basics and Environment Setup Chevron down icon Chevron up icon
Data Types and Variables Chevron down icon Chevron up icon
Text Data Types Chevron down icon Chevron up icon
Numeric Data Types Chevron down icon Chevron up icon
Boolean Chevron down icon Chevron up icon
Lists Chevron down icon Chevron up icon
Tuples Chevron down icon Chevron up icon
Sets Chevron down icon Chevron up icon
Dictionary Chevron down icon Chevron up icon
Decision Control in Python Chevron down icon Chevron up icon
Loops in Python Chevron down icon Chevron up icon
Iterating over Elements Chevron down icon Chevron up icon
Functions Chevron down icon Chevron up icon
Object-Oriented Programming Chevron down icon Chevron up icon
Inheritance Chevron down icon Chevron up icon
Dealing with Errors Chevron down icon Chevron up icon
Modules and Packages Chevron down icon Chevron up icon
All Built-In Functions Chevron down icon Chevron up icon
PyCharm IDE Chevron down icon Chevron up icon
Advanced Level: Python GUI Chevron down icon Chevron up icon
Applications with Python GUI Chevron down icon Chevron up icon
Advanced Level: Data Science Chevron down icon Chevron up icon
Data Science Project 1 Chevron down icon Chevron up icon
eBook Web Store Chevron down icon Chevron up icon
Machine Learning with Python Chevron down icon Chevron up icon
Flavor Predictor Chevron down icon Chevron up icon
Artificial Intelligence Chevron down icon Chevron up icon
Rating Bot Chevron down icon Chevron up icon
Face Recognition Model Chevron down icon Chevron up icon
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