"Learn Practical Python 3 for Beginners (2018) - Learn OOP, Numpy, Pandas and Matplotlib with 11 exercises and full solutions" -Ref.:Udemy.com | Udemy Free Coupon | Udemy Free Coupon Codes | Course | Udemy Free | Free Coupon | Udemy Coupon | JS | JavaScript | Web Development | Development | Programming: Programming Course, Development, Python Development, Python Programming, Python 3, Python, OOP, Numpy, Pandas, Matplotlib

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"Learn Practical Python 3 for Beginners (2018) - Learn OOP, Numpy, Pandas and Matplotlib with 11 exercises and full solutions"
Reference: https://www.udemy.com/learn-practical-python-3-for-beginners-2018/?couponCode=FREE_FOR_1ST_1000

" * You'll learn how and why to use lists, tuples, dictionaries and sets * Have a full grasp of both while loops and for loops * How to convert lists, dictionaries and sets into comprehension * How to work with txt files, pickle files, and the os module * How to use generators, generator expressions and functional programming * Gain a complete understanding of OOP (Object-Orientaed Programming * Use functions, lambda expressions, built-in functions, and decorators * How to manipulate arrays with the numpy module * How to manipulate and make sense of large data frames with the pandas module * Create beautiful and interactive graphs with matplotlib module * Create a simple paper, scissors, rock game * Curriculum For This Course - Lectures * Introduction * Why Choose This Course? * What is Python? * Resources + How to ask Questions? (IMPORTANT!) * Installing Jupyter Notebook with Python * Command Terminal (PC and MAC) * Overview of Jupyter Notebook (PC + MAC Short-cuts) * BASICS * Variables and Mathematical Operators * Comparison Operators * Strings and Len * Slice, Split and Join. * Formatting Strings * DATA STRUCTURES * Lists and Range * Tuples and Built-in Functions * Sets * Dictionaries * Is Operator * Structure Exercise * Solutions * CONTROL FLOW AND LOOPS * Control Flow (if, eli, else) * For Loops * While Loops * Loops with Control Flow * Break, Pass, and Continue * Advanced Loops * Loops Exercise * COMPREHENSION * List Comprehension * Control Flow in Comprehension * Dictionary Comprehension * Set Comprehension * Comprehension Exercise * FUNCTIONS * Functions * Built-in Functions * *args and **kwargs * Random * Decorators (Pure) * Decorators (Practical) * Scope * Function Exercise * Solutions - Part 1 * Solutions - Part 2 * HANDLING ERRORS * Try, Except, and Finally * Lambda Expressions * Errors Exercise * Files * Pickle Module * OS Module * File Exercise * MINI PROJECT * Game - Part 1 * Game - Part 2 * GENERATORS * Generator Functions * Generator Expressions * Map, Filter, and Reduce * Generator Exercise * OBJECT ORIENTATED PROGRAMMING * Classes and Methods * Initialization * Class Attributes and Modules * Decorators in classes - Part 1 * Decorators in classes - Part 2 * Creating Modules * Inheritance - Part 1 * Inheritance - Part 2 * Inheritance - Part 3 * Composition * Special Methods * Static and Class Methods * Encapsulation * OOP Exercise * Solutions - Part 1 * Solutions - Part 2 * NUMPY * Numpy Arrays * Advanced Indexing * Numpy Methods * NaN Values and Linear Algebra * Random Methods * Saving and Loading Numpy data * Numpy Exercise * PANDAS * Pandas Series * Pandas DataFrames * Loc, Iloc, and Slicing * Adding Dates * Cleaning Data * Saving and Reading data * Reshaping DataFrames * Merge * Melting and Grouping data * Pivoting data * Aggregate, Filter and Boolean Operations * Pandas Exercise * Solutions - Part 1 * Solutions - Part 2 * MATPLOTLIB * Basics * Bar Charts * Pie Charts * Histograms * Scatter Plot * Heatmaps * Subplots * Nested Subplots * Annotations and Equations * Multi-Page pdf * 3D Bar Plots - Part 1 * 3D Bar Plots - Part 2 * 3D Scatter Plots * Matplotlib Exercise * Solutions " - Ref.: Udemy.com

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