Python Mega Course- Learn Python Programming

Python Mega Course: Learn Python Programming, available at $59.99, has an average rating of 4.1, with 321 lectures, based on 448 reviews, and has 27315 subscribers.

You will learn about Learn Python from the ground up. Learn how to setup a python development environment. Learn how to create GUI applications Create a functional todo app and deploy to cloud Create a functional portfolio app Create a basic calculator Create a digital clock Create a times table generator Create a weight conversion tool Create a number guessing game Create a random number generator Create a vowel stripping program Create a countdown timer Create a lottery number simulator 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 Handling exception errors Version control system with Git and Github Web scrapping with Python Python and Machine Learning Django Using Python with PostgreSQL Relational Database Management System Python Object Oriented Programming This course is ideal for individuals who are Beginner Python Developers or Beginners to Python or Beginners to Data Science It is particularly useful for Beginner Python Developers or Beginners to Python or Beginners to Data Science.

Enroll now: Python Mega Course: Learn Python Programming

Summary

Title: Python Mega Course: Learn Python Programming

Price: $59.99

Average Rating: 4.1

Number of Lectures: 321

Number of Published Lectures: 321

Number of Curriculum Items: 321

Number of Published Curriculum Objects: 321

Original Price: $174.99

Quality Status: approved

Status: Live

What You Will Learn

Learn Python from the ground up.

Learn how to setup a python development environment.

Learn how to create GUI applications

Create a functional todo app and deploy to cloud

Create a functional portfolio app

Create a basic calculator

Create a digital clock

Create a times table generator

Create a weight conversion tool

Create a number guessing game

Create a random number generator

Create a vowel stripping program

Create a countdown timer

Create a lottery number simulator

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

Handling exception errors

Version control system with Git and Github

Web scrapping with Python

Python and Machine Learning

Django

Using Python with PostgreSQL Relational Database Management System

Python Object Oriented Programming

Who Should Attend

Beginner Python Developers

Beginners to Python

Beginners to Data Science

Target Audiences

Beginner Python Developers

Beginners to Python

Beginners to Data Science

Python is a dynamic modern object -oriented programming language that is easy to learn 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 object -oriented means it regards everything as an object. An object in the real world could be a person or a car.

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 visualisation, speech and face recognition.

Python  is used for:

web development (server-side),

software development,

mathematics,

system scripting.

What can Python do?

Python can be used on a server to create web applications.

Python can be used alongside software to create workflows.

Python can connect to database systems. It can also read and modify files.

Python can be used to handle big data and perform complex mathematics.

Python can be used for rapid prototyping, or for production-ready software development.

Why Python?

Python works on different platforms (Windows, Mac, Linux, Raspberry Pi, etc).

Python has a simple syntax similar to the English language.

Python has syntax that allows developers to write programs with fewer lines than some other programming languages.

Python runs on an interpreter system, meaning that code can be executed as soon as it is written. This means that prototyping can be very quick.

Python can be treated in a procedural way, an object-oriented way or a functional way.

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

In this absolute beginners course you will learn Python in a practical way

from the ground up. The course consist of over 30 hours of video over 300 lectures and several practical hands on projects.

Topics covered include:

How to download and install python

Installing text editors and Pycharm

Interacting with Python in various ways

Command line basics

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

Django

Bootstrap

PostgreSQL Relational Database Management System

Python Object Oriented Programming

Polymorphism

Classes and Methods

Inheritance

Encapsulation

Abstraction

Projects we will create:

Create a functional todo app and deploy to cloud

Create a functional portfolio app

Create a basic calculator

Create a digital clock

Create a times table generator

Create a weight conversion tool

Create a number guessing game

Create a random number generator

Create a vowel stripping program

Create a countdown timer

Create a lottery number simulator

Course Curriculum

Chapter 1: Installations and Setups

Lecture 1: Introduction

Lecture 2: What is Python

Lecture 3: Installing Python on Windows

Lecture 4: Installing Python3 on a Mac

Lecture 5: Installing Pycharm on Windows

Lecture 6: Installing Pycharm on a Mac

Lecture 7: How to change theme in Pycharm

Lecture 8: Pycharm Configuration on Windows Part 1

Lecture 9: Pycharm Configuration on Windows Part 2

Lecture 10: Pycharm configuration on a Mac

Lecture 11: Introduction to Plain Text Editors

Lecture 12: Installing Atom text editor

Lecture 13: Installing Brackets

Lecture 14: Installing SublimeText Editor

Lecture 15: Installing Visual studio code

Lecture 16: How to change background color on mac terminal

Lecture 17: How to change font size on mac terminal

Chapter 2: Introduction to the command line interface

Lecture 1: What is the commandline

Lecture 2: How to access the command line

Lecture 3: What you can do with the commandline

Lecture 4: Useful Commands

Chapter 3: Interacting with Python

Lecture 1: High and Low Level Programming languages

Lecture 2: Compilers and Interpreters

Lecture 3: Interacting with Python Part 1

Lecture 4: Interacting with Python Part 2

Lecture 5: Python Expressions

Lecture 6: Python Statement

Lecture 7: Python Code Comments

Lecture 8: Code Indentation

Lecture 9: Python Variables

Lecture 10: Creating Variables

Lecture 11: Algorithms

Lecture 12: Getting Input From Users

Chapter 4: Python Operators

Lecture 1: Introduction to Python Operators

Lecture 2: Python Arithmetic Operators

Lecture 3: Python Assignment Operators

Lecture 4: Python Comparison Operators

Lecture 5: Python Logical Operators

Lecture 6: Python Identity Operators

Lecture 7: Python Membership Operators

Lecture 8: Binary Numbers

Lecture 9: Python Bitwise Operators -Part 1

Lecture 10: Python Bitwise Operators -Part 2

Lecture 11: Python Operators Precedence

Chapter 5: Python Data Types

Lecture 1: Number Data Type

Lecture 2: String Data Type

Lecture 3: Boolean Data Type

Lecture 4: Casting Data Types

Chapter 6: Python String Methods and Formatting

Lecture 1: Python String Methods Part 1

Lecture 2: Python String Methods Part 2

Lecture 3: Python String Formatting Part 1

Lecture 4: Python String Formatting Part 2

Chapter 7: Python Data Structures

Lecture 1: What is a Python List

Lecture 2: Create a Python List

Lecture 3: Accessing elements in a List

Lecture 4: Python List Methods Part 1

Lecture 5: Python List Methods Part 2

Lecture 6: Nested List and For Loop

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

Lecture 13: Creating a directory for your python files

Chapter 8: Python Functions

Lecture 1: What are Functions in Python ?

Lecture 2: Python Return Keyword Value

Lecture 3: Using Default Parameter Value

Lecture 4: Using 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: Using VarArgs Parameter

Lecture 13: Python Function Vs Python Method

Lecture 14: Anonymous Functions

Lecture 15: Python DocStrings

Lecture 16: Python Decorators

Chapter 9: 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

Lecture 8: Break Statement

Lecture 9: Continue Statement

Lecture 10: For loop and break statement

Instructors

Bluelime Learning Solutions
Making Learning Simple

Rating Distribution

1 stars: 9 votes

2 stars: 11 votes

3 stars: 46 votes

4 stars: 151 votes

5 stars: 231 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!