Learn the basics of Python — Part 1

Writing code in Python

Requirements

  • basic programming concepts

Description

This course starts with the Introduction to Python language. Then, I discuss about the data types available. Control flow structure is discussed. Different data structures like list, array, tuple, dictionary are explained. Stack, Queue and matrix implementation are explained. Modules and packages are discussed. Object oriented programming concepts in Python are also discussed briefly. For all the features, detailed hands-on coding are shown.

Who this course is for:

  • anyone looking for python basics

Course content

Learn the basics of Python — Part 2

Writing code in Python

Requirements

  • basic programming concepts

Description

This is the second part of course on basics of Python. It starts with Matrix implementation using List. Then Tuples, Dictionary and Array data structures are discussed. Modules and Packages are explained. Few Standard library modules are also discussed. Then, object oriented programming concepts in Python are discussed which includes namespace, scope, class, class objects and class inheritence.

Who this course is for:

  • anyone looking for python basics

Course content

Julia – Future Python

Julia Basic to Intermediate

Julia Code, Loops, Conditions, Plots, Date Time, File System, Statistics package

Requirements

  • Basic Programming Knowledge

Description

In this course you are going to learn Basic Julia to Intermediate Julia Programming in less than 2 Hourse.

Course Content:

Why is Julia build?

Julia vs Python

Who uses Julia and What they are saying?

Installation and Package Management in Julia.

Basic Syntax (Println, readline, String handling)

Data Structures (Array, Tuple and Dictionary)

Conditions and Loops

Error Handling

File System Handling and DateTime Functions

Data Handling and Plotting

I am sure , once you do this course , you will have an edge over others.

Julia is called future python because of its speed and simplicity and integration with others.

Who this course is for:

  • Python Developer, New Programmer,
  • Someone who loves to explore Future Python

Course content