Python Developer- PythonDjangoFlaskPostgreSQLMySQLAPI

Python Developer: Python/Django/Flask/PostgreSQL/MySQL/API, available at $64.99, has an average rating of 4.4, with 195 lectures, based on 401 reviews, and has 29460 subscribers.

You will learn about Develop Applications with Python Interacting with databases with Python Develop application with Django and Python and PostgreSQL Develop application with Flask and Python and PostgreSQL Develop application with Python and MySQL Create an API with Python Interacting with database applications using Python This course is ideal for individuals who are Beginners to Python It is particularly useful for Beginners to Python.

Enroll now: Python Developer: Python/Django/Flask/PostgreSQL/MySQL/API

Summary

Title: Python Developer: Python/Django/Flask/PostgreSQL/MySQL/API

Price: $64.99

Average Rating: 4.4

Number of Lectures: 195

Number of Published Lectures: 195

Number of Curriculum Items: 195

Number of Published Curriculum Objects: 195

Original Price: $59.99

Quality Status: approved

Status: Live

What You Will Learn

Develop Applications with Python

Interacting with databases with Python

Develop application with Django and Python and PostgreSQL

Develop application with Flask and Python and PostgreSQL

Develop application with Python and MySQL

Create an API with Python

Interacting with database applications using Python

Who Should Attend

Beginners to Python

Target Audiences

Beginners to Python

Python is a dynamic modern object -oriented programming language  and can be used to do a lot of things both big and small.   Python is what is referred to as a high level language. That means it is a language that is closer to humans than computer.It is also known as a general purpose programming language due to it’s flexibility. Python is an interpreted language that does not need to be complied like for example java programming language. It is interpreted and run on the fly the same time.

Python has been used in a lot of places like in creating games, for statistical data and visualization,speech and face recognition.

Some of the biggest websites on this planet earth use python in one way or another. Examples include:

Google

Youtube

Facebook

Nasa

Disney

Pixar

Reddit

Pinterest

Instagram

Spotify

Survey Monkey

Yahoo Maps

Topics covered include:

Interacting with Python in various ways

Python Operators

Python Data Types

Data type casting

Python String Methods and Formatting

Python Data Structures

Python Functions

Python DocStrings

Python Decorators

Python Control Flow Statements

Python Modules and Packages

Working with external files in Python

Working with dates and times

Working with calendars

Handling exception errors

Version control system with Git and Github

Web scrapping with Python

Python and Machine Learning

Web development with Django

Creating a database driven application

Python Object Oriented Programming

Projects we will create:

Create a web based todo app and deploy to cloud

Database CRUD  app with SQL Server and Python

MP3 Player

Lottery Number Simulator

Loan calulator

Create a basic calculator

Create a digital clock

Create a number guessing game

Create a random number generator

Create a countdown timer

Create a lottery number simulator

Course Curriculum

Chapter 1: Python Setup

Lecture 1: Introduction

Lecture 2: What is Python

Lecture 3: High and low level programming languages

Lecture 4: Compilers and interpreters

Lecture 5: Installing Python on Windows

Lecture 6: Installing Python 3 on Macs

Lecture 7: Installing Pycharm for Windows

Lecture 8: PyCharm Windows Configuration: Part 1

Lecture 9: PyCharm Windows Configuration: Part 2

Lecture 10: Changing Pycharm Theme

Lecture 11: Installing PyCharm for macs

Lecture 12: PyCharm Mac Configuration

Lecture 13: Installing ATOM Text Editor

Chapter 2: Interacting with Python

Lecture 1: Using the Python Shell

Lecture 2: Using a Python File

Lecture 3: Python Expressions

Lecture 4: Python Comments

Lecture 5: Python Code Indentation

Lecture 6: Python Variables

Lecture 7: Creating Variables

Lecture 8: Getting Input from users

Chapter 3: Python Control Flow Statements

Lecture 1: Introduction to control flow

Lecture 2: if statements

Lecture 3: else statements

Lecture 4: elif statements

Lecture 5: While Loops

Lecture 6: For Loops

Lecture 7: Nested For Loops

Chapter 4: Python Functions

Lecture 1: What are Functions

Lecture 2: Python Return Keyword Value

Lecture 3: Default Parameter Value

Lecture 4: Keyword Arguments

Lecture 5: Functions returning other functions

Lecture 6: Assigning Functions to Variables

Lecture 7: Global and Local Variable Scopes

Lecture 8: Nesting Functions

Lecture 9: Nesting Functions Accessing Variable Scope

Lecture 10: Function Pass Keyword

Lecture 11: Passing Functions as arguments

Lecture 12: Anonymous Functions

Lecture 13: Python Decorators

Lecture 14: Python Method Vs Python Functions

Chapter 5: Python Operators and Data Types

Lecture 1: Arithmetic Operators

Lecture 2: Assignment Operators

Lecture 3: Logical Operators

Lecture 4: Number Data Type

Lecture 5: String Data Type

Lecture 6: Boolean Data Type

Lecture 7: Casting Data Types

Chapter 6: Python Data Structures

Lecture 1: What are data structures

Lecture 2: What is Python List

Lecture 3: Creating a Python List

Lecture 4: Accessing elements in a List

Lecture 5: Python List Methods: Part 1

Lecture 6: Python List Methods: Part 2

Lecture 7: Python Tuple: Part 1

Lecture 8: Python Tuple: Part 2

Lecture 9: Python SET

Lecture 10: Python SET Methods

Lecture 11: Python Dictionary

Lecture 12: Python Dictionary Methods

Chapter 7: Object Oriented Programming (OOP) with Python

Lecture 1: What is Object Oriented Programming

Lecture 2: Creating a class

Lecture 3: Instantiating a class

Lecture 4: Modifying a classes

Lecture 5: Class and instance Variables

Lecture 6: Inheritance: Part 1

Lecture 7: Inheritance: Part 2

Lecture 8: Inheritance: Part 3

Lecture 9: Inheritance: Part 4

Lecture 10: Polymorphism : Part 1

Lecture 11: Polymorphism : Part 2

Lecture 12: Polymorphism : Part 3

Lecture 13: Encapsulation: Part 1

Lecture 14: Encapsulation: Part 2

Lecture 15: Encapsulation: Part 3

Lecture 16: Abstraction: Part 1

Lecture 17: Abstraction: Part 2

Chapter 8: Python Modules and Packages

Lecture 1: What are Modules

Lecture 2: How to use Modules

Lecture 3: Built in Modules

Lecture 4: What are Python Packages

Lecture 5: Python dir Function

Lecture 6: PyCache directory

Chapter 9: PostgreSQL Setup

Lecture 1: What is PostgreSQL

Lecture 2: Minimum Installation Requirements

Lecture 3: Downloading PostgreSQL for Windows

Lecture 4: Installing PostgreSQL for Windows

Lecture 5: Verify PostgreSQL Installation

Lecture 6: Installing PostgreSQL for macs

Lecture 7: Connecting to PostgreSQL Database Server

Instructors

Bluelime Learning Solutions
Making Learning Simple

Rating Distribution

1 stars: 8 votes

2 stars: 9 votes

3 stars: 50 votes

4 stars: 134 votes

5 stars: 200 votes

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