Python, JavaScript and MySQL for Web Developers: Bootcamp

Complete Developers course with JavaScript, Python Programming and MySQL database: zero to expert

Created by : Rated :4.1 1033 views

Last Updated: 2022-09-23 07:09:45 English Course Type: Self Learning

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.

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

Section 1 : Introduction 11 Lectures 01:21:52
Lecture 1 :
Introduction Preview
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 00:00:00
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 00:00:00
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 00:00:00
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 00:00:00
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 00:00:00
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 00:00:00
Lecture 1 :
Guessing Game
Lecture 2 :
Car Game
Section 17 : Python Function 3 Lectures 00:00:00
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 00:00:00
Lecture 1 :
args, Arbitary Arguments
Lecture 2 :
kwargs, Arbitary Keyword Arguments
Section 19 : Python Project 2 Lectures 00:00:00
Lecture 1 :
Project Overview
Lecture 2 :
ATM Realtime Project
Section 20 : Python Object oriented programming [OOPs] 5 Lectures 00:00:00
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 00:00:00
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 00:00:00
Lecture 1 :
Introduction to OOPs
Lecture 2 :
Classes and Objects
Lecture 3 :
Class Constructors
Section 23 : Python Inheritance and Polymorphism 5 Lectures 00:00:00
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 00:00:00
Lecture 1 :
Introduction
Lecture 2 :
Access Modifiers (public, protected, private)
Lecture 3 :
Encapsulation
Lecture 4 :
Abstraction
Section 25 : Python OOPs Games 2 Lectures 00:00:00
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 00:00:00
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 00:00:00
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 00:00:00
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 00:00:00
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 00:00:00
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 00:00:00
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 00:00:00
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 00:00:00
Lecture 1 :
Insert
Lecture 2 :
Update
Lecture 3 :
Delete
Section 36 : MySQL Structure Queries 2 Lectures 00:00:00
Lecture 1 :
Alter Table
Lecture 2 :
Drop Table
Section 37 : MySQL Constraint 2 Lectures 00:00:00
Lecture 1 :
NOT NULL Constraint
Lecture 2 :
UNIQUE Constraint
Section 38 : MySQL backup and restore 3 Lectures 00:00:00
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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Sekhar Metla (Microsoft Certified Professional) Sudha,

516513 Course Views

64 Courses

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