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  • You will apply coding for python projects
  • Advanced OOPs python coding for Data Science projects
  • Create your own applications for business needs
  • Writing Python code for Dynamic applications
  • Master client-end design using JavaScript, back-end development Python coding with MySQL
  • Apply JavaScript, Python for data science and MySQL database queries on real-world tasks
  • Create fully function web apps using Python, JavaScript and MySQL
  • Coding on Data Science projects and modules like machine learning and artificial intelligence

In this course, we will learn the basic tools that every Web developer needs to know. We will start from scratch by learning how to implement modern web development with JavaScript, Python and MySQL.

 

Learn to code JavaScript, Python and MySQL is The first step to Coding you need to learn to succeed in web development, it is easy to learn and understand our online JavaScript, Python and MySQL Training course is designed for you with the complete steps to require learn Complete Developer topics. Mr Sekhar Metla [MCP - Microsoft Certified Professional] will explain to you even complex topics to simplify and teach you that even beginners can easily understand with real-time examples.

 

At this Development course is without a doubt the most comprehensive web development course available online. Even if you have zero programming experience, this course will take you from beginner to mastery. Here's why:

 

The course is taught by the lead instructor having 20+ years of professional experience.

 

Become a Full-Stack Web Developer with just ONE course. Design and Development complete course with JavaScript, Python Programming and MySQL database

 

The course has been updated to be trending technology ready and you'll be learning the latest tools and technologies used at large companies such as Apple, Facebook, Google and Netflix.

 

About Python:

Python is a high-level, interpreted, general-purpose programming language. Its design philosophy emphasizes code readability with the use of significant indentation. Python is dynamically-typed and garbage-collected.

 

The curriculum was developed over a period of four years, with comprehensive student testing and feedback who are working and applying these coding examples.

 

We've taught many students how to code and many have gone on to change their lives by becoming professional developers or starting their own tech startup.

 

We'll take you step-by-step through engaging video tutorials and teach you everything you need to know to succeed as a web developer.

 

The course includes HD video tutorials and builds your programming knowledge while making real-world websites and web apps.

 

Throughout this comprehensive course, we cover a massive amount of tools and technologies, including:

 

JavaScript

Front-End Web Development

Client-side scripting

Datatypes

Operators

Statements

DOM objects

Loops

Functions

Validations

On click events

HTML5 elements

Error Handling

and more..

 

Python coding for Data Science

Variables

Data types

Statements

Sequences

Operators

Logical Coding

Control flow statements

Loop statements

Code Development

Sets

Lists

Tuples

Dictionaries

KW arguments

Functions

Games

Python Advanced programming

Object oriented programming [OOPs]

Classes and methods

Methods

Inheritance

Polymorphism

Abstraction

Access modifiers

Error Handling

and more..

 

MySQL

SQL installation

Database

SQL Queries

Tables

SQL functions

SQL statements

SQL operators

SQL Joins

SQL advanced

Time stamps

Extracting Timestamp

filtering data

analyzing data

grouping data

Reports

and more..

 

By the end of this course, you will be fluently programming and be ready to make any website you can dream of.

Sign up today, and look forward to:

  • HD Video Lectures

  • Code Challenges and Coding Exercises

  • Beautiful Real-World dynamic Projects

  • No programming experience needed. You will learn everything you need to know
  • No software is required in advance of the course (all software used in the course is free)
  • No pre-knowledge is required - you will learn from basic
  • Beginner JavaScript, Python coding and MySQL developers curious about data science development
  • Anyone who wants to generate new income streams
  • Anyone who wants to build websites
  • Anyone who wants to start their own business or become freelance
  • Anyone who wants to become a Full stack web developer
  • Who wants learn Python coding for machine learning and artificial intelligence
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  • Section 1 : Introduction 11 Lectures 01:21:52

    • Lecture 1 :
    • Lecture 2 :
    • How to ask a great questions
    • Lecture 3 :
    • Installing code editor
    • Lecture 4 :
    • What is JavaScript
    • Lecture 5 :
    • Hello World Program
    • Lecture 6 :
    • Getting Output
    • Lecture 7 :
    • Internal JavaScript
    • Lecture 8 :
    • External JavaScript
    • Lecture 9 :
    • Inline JavaScript
    • Lecture 10 :
    • Async and defer
    • Lecture 11 :
    • What is Source Code
  • Section 2 : JavaScript Basics 5 Lectures 00:05:47

    • Lecture 1 :
    • Variables
    • Lecture 2 :
    • Data Types
    • Lecture 3 :
    • Numbers
    • Lecture 4 :
    • Strings
    • Lecture 5 :
    • String Formatting
  • Section 3 : JavaScript Operators 4 Lectures 00:24:12

    • Lecture 1 :
    • Arithmetic operators
    • Lecture 2 :
    • Assignment operators
    • Lecture 3 :
    • Comparison operators
    • Lecture 4 :
    • Logical operators
  • Section 4 : JavaScript Conditional Statements 2 Lectures 00:09:46

    • Lecture 1 :
    • If-else statement
    • Lecture 2 :
    • If-else-if statement
  • Section 5 : JavaScript Control Flow Statements 5 Lectures 00:22:10

    • Lecture 1 :
    • While loop
    • Lecture 2 :
    • Do-while loop
    • Lecture 3 :
    • For loop
    • Lecture 4 :
    • Coding Exercise
    • Lecture 5 :
    • Solution for Coding Exercise
  • Section 6 : JavaScript Functions 3 Lectures 00:19:22

    • Lecture 1 :
    • Creating a Function
    • Lecture 2 :
    • Function Call()
    • Lecture 3 :
    • Function with parameters
  • Section 7 : JavaScript Error Handling 2 Lectures

    • Lecture 1 :
    • Try-catch
    • Lecture 2 :
    • Try-catch-finally
  • Section 8 : JavaScript Client-Side Validations 2 Lectures 00:12:16

    • Lecture 1 :
    • On Submit Validation
    • Lecture 2 :
    • Input Numeric Validation
  • Section 9 : 9. Python Introduction 8 Lectures 00:26:51

    • Lecture 1 :
    • Introduction Python
    • Lecture 2 :
    • Python vs. Other Languages
    • Lecture 3 :
    • Why Its Popular
    • Lecture 4 :
    • Command Line Basics
    • Lecture 5 :
    • Python Installation (Step By Step)
    • Lecture 6 :
    • PyCharm IDE Installation
    • Lecture 7 :
    • Getting Start PyCharm IDE
    • Lecture 8 :
    • First Python Hello World Program
  • Section 10 : Python Basic 5 Lectures 00:07:54

    • Lecture 1 :
    • Variables
    • Lecture 2 :
    • Data Types
    • Lecture 3 :
    • Type Casting
    • Lecture 4 :
    • User Inputs
    • Lecture 5 :
    • Comments
  • Section 11 : Python Strings 5 Lectures 00:14:54

    • Lecture 1 :
    • Strings
    • Lecture 2 :
    • String Indexing
    • Lecture 3 :
    • String Slicing
    • Lecture 4 :
    • String Built-in Functions
    • Lecture 5 :
    • Formatting String (Dynamic Data)
  • Section 12 : Python Operators 8 Lectures

    • Lecture 1 :
    • Arithmetic Operators
    • Lecture 2 :
    • Assignment Operators
    • Lecture 3 :
    • Comparison Operators
    • Lecture 4 :
    • Logical Operators
    • Lecture 5 :
    • AND Operator
    • Lecture 6 :
    • OR Operator
    • Lecture 7 :
    • NOT Operator
    • Lecture 8 :
    • Booleans
  • Section 13 : Python Data Structures 17 Lectures

    • Lecture 1 :
    • Arrays in Earlier
    • Lecture 2 :
    • Lists
    • Lecture 3 :
    • Add List Items
    • Lecture 4 :
    • Remove List Items
    • Lecture 5 :
    • Sort Lists
    • Lecture 6 :
    • Join Lists
    • Lecture 7 :
    • Tuples
    • Lecture 8 :
    • Update tuples
    • Lecture 9 :
    • Join tuples
    • Lecture 10 :
    • Dictionaries
    • Lecture 11 :
    • Add Dictionary Items
    • Lecture 12 :
    • Remove Dictionary Items
    • Lecture 13 :
    • Nested Dictionaries
    • Lecture 14 :
    • Sets
    • Lecture 15 :
    • Add Set Items
    • Lecture 16 :
    • Remove Set Items
    • Lecture 17 :
    • Join Set Items
  • Section 14 : Python Conditional Statements 4 Lectures

    • Lecture 1 :
    • If Statement
    • Lecture 2 :
    • If-else Statement
    • Lecture 3 :
    • If-elif-else Statement
    • Lecture 4 :
    • If Statement Coding Exercise
  • Section 15 : Python control flow statements 6 Lectures

    • Lecture 1 :
    • Flow Charts
    • Lecture 2 :
    • While Loops Statement
    • Lecture 3 :
    • For Loops Statement
    • Lecture 4 :
    • The range() Function
    • Lecture 5 :
    • Nested Loops
    • Lecture 6 :
    • 2D List using Nested Loop
  • Section 16 : Python core games 2 Lectures

    • Lecture 1 :
    • Guessing Game
    • Lecture 2 :
    • Car Game
  • Section 17 : Python Function 3 Lectures

    • Lecture 1 :
    • Creating a Function
    • Lecture 2 :
    • Calling a Function
    • Lecture 3 :
    • Function with Arguments
  • Section 18 : Python args, KW args for Data Science 2 Lectures

    • Lecture 1 :
    • args, Arbitary Arguments
    • Lecture 2 :
    • kwargs, Arbitary Keyword Arguments
  • Section 19 : Python Project 2 Lectures

    • Lecture 1 :
    • Project Overview
    • Lecture 2 :
    • ATM Realtime Project
  • Section 20 : Python Object oriented programming [OOPs] 5 Lectures

    • Lecture 1 :
    • Introduction to Class
    • Lecture 2 :
    • Create a Class
    • Lecture 3 :
    • Calling a Class Object
    • Lecture 4 :
    • Class Parameters - Objects
    • Lecture 5 :
    • Access Modifiers(theory)
  • Section 21 : Python Methods 7 Lectures

    • Lecture 1 :
    • Introduction to methods
    • Lecture 2 :
    • Create a method
    • Lecture 3 :
    • Method with Parameters
    • Lecture 4 :
    • Method default parameter
    • Lecture 5 :
    • Multiple parameters
    • Lecture 6 :
    • Method return keyword
    • Lecture 7 :
    • Method Over loading
  • Section 22 : Python Class and Objects 3 Lectures

    • Lecture 1 :
    • Introduction to OOPs
    • Lecture 2 :
    • Classes and Objects
    • Lecture 3 :
    • Class Constructors
  • Section 23 : Python Inheritance and Polymorphism 5 Lectures

    • Lecture 1 :
    • Introduction
    • Lecture 2 :
    • Inheritance
    • Lecture 3 :
    • Polymorphism
    • Lecture 4 :
    • Assessment Test
    • Lecture 5 :
    • Solution for Assessment Test
  • Section 24 : Python Encapsulation and Abstraction 4 Lectures

    • Lecture 1 :
    • Introduction
    • Lecture 2 :
    • Access Modifiers (public, protected, private)
    • Lecture 3 :
    • Encapsulation
    • Lecture 4 :
    • Abstraction
  • Section 25 : Python OOPs Games 2 Lectures

    • Lecture 1 :
    • Dice Game
    • Lecture 2 :
    • Card and Deck Game Playing
  • Section 26 : Python Modules and Packages 5 Lectures 00:45:10

    • Lecture 1 :
    • PIP command installations
    • Lecture 2 :
    • Modules
    • Lecture 3 :
    • Built-in Modules
    • Lecture 4 :
    • Packages
    • Lecture 5 :
    • Reading CSV files
  • Section 27 : Python Error Handling 3 Lectures 00:21:33

    • Lecture 1 :
    • Errors – Types of Errors
    • Lecture 2 :
    • Try - Except Exceptions Handling
    • Lecture 3 :
    • Try-Except-Finally Blocks
  • Section 28 : MYSQL introduction 4 Lectures

    • Lecture 1 :
    • Overview of Databases
    • Lecture 2 :
    • MySQL Installation
    • Lecture 3 :
    • MySQL Workbench Installation
    • Lecture 4 :
    • Connecting to MySQL using Console
  • Section 29 : MySQL basic 6 Lectures

    • Lecture 1 :
    • Overview of Challenges
    • Lecture 2 :
    • SQL Statement Basic
    • Lecture 3 :
    • SELECT Statement
    • Lecture 4 :
    • SELECT DISTINCT
    • Lecture 5 :
    • Column AS Statement
    • Lecture 6 :
    • COUNT function
  • Section 30 : MySQL filtering data 7 Lectures

    • Lecture 1 :
    • SELECT WHERE Clause – One
    • Lecture 2 :
    • SELECT WHERE Clause – two
    • Lecture 3 :
    • ORDER BY
    • Lecture 4 :
    • LIMIT
    • Lecture 5 :
    • BETWEEN
    • Lecture 6 :
    • IN Operator
    • Lecture 7 :
    • LIKE and ILIKE
  • Section 31 : MySQL functions 6 Lectures

    • Lecture 1 :
    • Overview of GROUP BY
    • Lecture 2 :
    • Aggregation function SUM()
    • Lecture 3 :
    • Aggregation MIN() and MAX()
    • Lecture 4 :
    • GROUP BY - One
    • Lecture 5 :
    • GROUP BY – Two
    • Lecture 6 :
    • HAVING Clause
  • Section 32 : MySQL Joins 9 Lectures

    • Lecture 1 :
    • Overview Assessment
    • Lecture 2 :
    • Overview of Joins
    • Lecture 3 :
    • Introduction to JOINS
    • Lecture 4 :
    • AS Statement table
    • Lecture 5 :
    • INNER JOIN
    • Lecture 6 :
    • FULL Outer Join
    • Lecture 7 :
    • LEFT Outer JOIN
    • Lecture 8 :
    • RIGHT JOIN
    • Lecture 9 :
    • Union
  • Section 33 : MySQL advanced commands 6 Lectures

    • Lecture 1 :
    • Advanced SQL Commands
    • Lecture 2 :
    • Timestamps
    • Lecture 3 :
    • EXTRACT from timestamp
    • Lecture 4 :
    • Mathematical Functions
    • Lecture 5 :
    • String Functions
    • Lecture 6 :
    • SUBQUERY
  • Section 34 : MySQL Structure Creation 4 Lectures

    • Lecture 1 :
    • Database and Tables
    • Lecture 2 :
    • Data Types
    • Lecture 3 :
    • Primary key and Foreign key
    • Lecture 4 :
    • Create Table in SQL Script
  • Section 35 : MySQL Data Queries 3 Lectures

    • Lecture 1 :
    • Insert
    • Lecture 2 :
    • Update
    • Lecture 3 :
    • Delete
  • Section 36 : MySQL Structure Queries 2 Lectures

    • Lecture 1 :
    • Alter Table
    • Lecture 2 :
    • Drop Table
  • Section 37 : MySQL Constraint 2 Lectures

    • Lecture 1 :
    • NOT NULL Constraint
    • Lecture 2 :
    • UNIQUE Constraint
  • Section 38 : MySQL backup and restore 3 Lectures

    • Lecture 1 :
    • Overview of Databases and Tables
    • Lecture 2 :
    • Backup database using phpMyAdmin
    • Lecture 3 :
    • Restoring a Database
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    Yes absolutely & thats one of the advantage of self-paced courses. You can anytime pause or resume the course & come back & forth from one lecture to another lecture, play the videos mulitple times & so on.
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    Most of these courses have general questions & answers already covered within the course lectures. However, if you need any further help from the instructor, you can use the inbuilt Chat with Instructor option to send a message to an instructor & they will reply you within 24 hours. You can ask as many questions as you want.
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I am M. Sudha Sekhar, I am a Teacher and a Web Developer, and I am also passionate to teach every single real-time step that leads students as well as professionals to become successful with their carrier. What we know about web development and technologies: * Front-End web development: HTML, CSS, Bootstrap, JavaScript, Ajax and more... * Code-End web development: Asp.Net, C#, Python and PHP and more... * Back-End development: MS SQL, MySQL, PostgreSQL, MongoDB, MariaDB and more... * Operating Systems / Servers: RHEL - LINUX, Ubuntu, CentOS, Windows and more... Start solving your challenge now | Enroll today and learn real-time practical courses. I am passionate about: * Teaching students the correct way. * Making things simple and easy to understand. * Offering the best audio and video qualities to my courses. * Real-time Examples who will understand real-time skills easily. * Most of the Lectures will be practical way demonstrations using real-world solutions
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