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Python course tutorials

This video is part 185 of Python full beginning course tutorials. And focus of this video is on Discretization and Binning of Datasets with Pandas in Python programming. ---- Contents of this video ------------------------------- 00:00 - Intro 00:45 - Variables and simple data types 09:42 - Working with lists 52:30 - Conditional test and If statements 1:21:49 - Dictionaries 1:54:27 - User input and while loop 2:27:06 - Functions 3:27:19 - Classes 4:12:25 - Files and Exceptions 4:49:21 - The NumPy library 6:14:09 - Introducing The pandas library 7:57:49 - Reading and Writing Data with Pandas library 8:18:55 - Pandas in Depth: Data Manipulation Section 1 Installation of Anaconda and set up Python environment Section 2 Variables and simple data types String variables Numbers Section 3 Working with lists Introducing lists Changing, Appending,Removing items of Lists Organizing lists Looping through an entire list Making Numerical Lists List comprehension and Working with Part of a List Tuples Section 4 Conditional test and If statements Conditional Tests if Statements Using if Statements with Lists Section 5 Dictionaries Working with Dictionaries Looping Through a Dictionary Nesting dictionaries Python Dictionary get() Method Removing from dictionaries – the pop() method and the del statement Section 6 User input and while loop User input Introducing while loops Using break and continue in while loops Using a while Loop with Lists Using a while Loop with Dictionaries User input Section 7 Functions Defining a function Passing arguments to function Functions: Return a simple value Functions: Return a dictionary Using a Function with a while Loop Passing a List to function Passing an Arbitrary Number of Arguments to function Storing Your Functions in Modules Map function and Lambda expression in Python to replace characters pass multiple arguments to map function This video is part 185 of Python full beginning course tutorials. And focus of this video is on Discretization and Binning of Datasets with Pandas in Python programming. ---- Contents of this video ------------------------------- 00:00 - Intro 00:45 - Variables and simple data types 09:42 - Working with lists 52:30 - Conditional test and If statements 1:21:49 - Dictionaries 1:54:27 - User input and while loop 2:27:06 - Functions 3:27:19 - Classes 4:12:25 - Files and Exceptions 4:49:21 - The NumPy library 6:14:09 - Introducing The pandas library 7:57:49 - Reading and Writing Data with Pandas library 8:18:55 - Pandas in Depth: Data Manipulation Section 1 Installation of Anaconda and set up Python environment Section 2 Variables and simple data types String variables Numbers Section 3 Working with lists Introducing lists Changing, Appending,Removing items of Lists Organizing lists Looping through an entire list Making Numerical Lists List comprehension and Working with Part of a List Tuples Section 4 Conditional test and If statements Conditional Tests if Statements Using if Statements with Lists Section 5 Dictionaries Working with Dictionaries Looping Through a Dictionary Nesting dictionaries Python Dictionary get() Method Removing from dictionaries – the pop() method and the del statement Section 6 User input and while loop User input Introducing while loops Using break and continue in while loops Using a while Loop with Lists Using a while Loop with Dictionaries User input Section 7 Functions Defining a function Passing arguments to function Functions: Return a simple value Functions: Return a dictionary Using a Function with a while Loop Passing a List to function Passing an Arbitrary Number of Arguments to function Storing Your Functions in Modules Map function and Lambda expression in Python to replace characters pass multiple arguments to map function Partial functions Section 8 Classes Creating and Using a Class Working with Classes and Instances Inheritance of Classes Working with Attributes and Methods for the Child Class Importing Classes Section 9 Files and Exceptions Reading from a File Writing to a File Introducing try-except Blocks Exception Handling the FileNotFoundError Exception Using Try, Except, else,pass and Finally in Python Storing Data using json() module Refactoring Section 10 The NumPy library Introducing NumPy library Creation of Array in NumPy Basic operations of Numpy ndarray Inde