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Python In Practice: 15 Projects to Master Python
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Python In Practice: 15 Projects to Master Python
Rahul Mula | Duration: 20h 52m | Video: H264 1280x720 | Audio: AAC 44,1 kHz 2ch | 12,5 GB | Language: English

Learn the programming fundamentals with Python 3 ! Python for beginners complete python masterclass! Rise from a beginner to an advanced-level programmer! This specialized course is truly meant to make you an advanced-level programmer!

Whether you become a Python developer, Full Stack Web Developer, or Data Scientist - this course will help you in every way and we will do the same by not just learning but mastering the skills as well! And to the same, we will create 15+ applications with python-like

• Dice Roller: Python GUI application with Tkinter to generate random dice outputs
• Total Seconds & Days Counter: Another GUI Python application that will calculate how many days and seconds one has lived
• Length Converter: Interchange length units like Foot, Meters & Inch with Python programming through a Python GUI application
• Image to Icon Converter : Convert .png, .jpg, .jpeg, etc. images into icons with python GUI programming
• Random element selector: Pass a certain number of choices like a blue dress or red dress and get a decision picked
• Data Analysis: Analyze data with NumPy and pandas library
• Data Visualization: Plot different visuals of data like bar charts, pie charts, graphs, area plots, etc. with matplotlib
• Trees Survey Report: Generate a survey report with data science
• User Credentials Data: Manage the credentials of users like first name, last name, email, etc.
• Sales Data Report: Analyze the sales report in a week with Python Data Analysis
• eBook Store: Become a full stack developer with Django 3 and create an eCommerce website development with HTML, CSS & bootstrap
• Weight Predictor: Create a machine learning python model to predict the age of a person if his height is known
• Rainy or Clear Weather: Predict whether it will rain or not by passing some parameters to a classification model
• Flavor Predictor: Find out what flavor does a person like if age & gender is known with machine learning
• Rating Bot: Create a natural language processing model to rate comments & reviews automatically
• Face Recognizer: Perform human face recognition with Computer Vision and OpenCV

But before jumping into creating the above applications we need to learn how to create them i.e. learning the basics of python programming. But just learning through video lessons isn't enough so after each lesson you need to perform coding exercises, complete tests, and take quizzes to master them as well.

Starting with the basics, we will learn from short video lessons to grasp information without turning it into boredom. Then you'll take quizzes to test your knowledge and then perform coding exercises to practically apply your skills. There are over 100 exercises throughout this course in the form of video lessons, coding exercises, tests, quizzes, assignments, and workbooks. After each level i.e. beginner or intermediate level you'd have to take a test to pass that level.

After creating a strong base, we will apply what we have learned and the best way to do so is to build applications! That's why we will perform the followings

• Python GUI
• Data Science
• Full Stack Web Development with Django
• Machine Learning
• Artificial Intelligence
• Natural Language Processing
• Computer Vision

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