In this video we will learn that what is Python?
In this video you will learn about Python Execution Modes and Difference between them.
In this video you will learn what are tokens?
In this video you will understand python keywords easily in detail
In this video you will learn about identifiers and the rules to name identifiers
In less than 2 minutes you will understand the concept of Data Type
Understand Variables and How they Work in this Video.
In this video you will get answer to these questions.
What are the various methods to assign values to the variable? What is a Type Function?
In this video you will learn what is an input function?
Understand what is Explicit Data Type Casting which we use in Input function for numbers.
You will learn how to use print function in your program and how to get formatted results using print function
In this video you will learn how to use input function to fetch an number from user.
In this video you will learn to make program of Sum of Two Numbers using Input and Print Function.
In this video you will learn to calculate area and perimeter of Rectangle in the same program
In this video you will learn to make program of Simple Interest in Python
In this video you will learn to Differentiate between Expression & Statement easily.
In this video you will learn about various arithmetic operators used in python.
In this video you will learn to use Associativity & Precedence correctly in Python Programming.
In this video you will learn how to use relational operators in Python Programming
Topics Covered are
Introduction to NumPy
What are NumPy Arrays
Types of NumPy Arrays
Lists Vs NumPy Arrays
In this video you will learn
Splitting of 1D NumPy Array
Splitting of 2D NumPy Array
Reshaping of NumPy Array
Concatenation of 1D NumPy Array
Concatenation of 2D NumPy Array
Numpy Split Method
Topics Covered are
1. NumPy attributes
- ndim, size, shape, dtype, itemsize
2. Arithmetic operations on one dimensional and two-dimensional arrays
- Addition, Subtraction, Multiplication, Matrix Multiplication, Division, Modulo, Exponentiation
3. Statistical operations on one dimensional and two-dimensional arrays
- Calculating max, min, sum, mean, median, standard deviation, variance on NumPy arrays.