Скачать или смотреть Easy Python session 28

This video is part 28 of Python full beginning course tutorials. And focus of this video is on Working with Classes and Instances 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