Python - Comprehensive Bootcamp (Beginner To Professional)

Python : Comprehensive Bootcamp (Beginner To Professional), available at $59.99, has an average rating of 4.58, with 338 lectures, based on 1051 reviews, and has 47946 subscribers.

You will learn about Learn Python from the ground up. Learn how to setup a python development environment. Learn how to create desktop applications Learn how to create console applications Learn how to create web applications Learn about Python Data Types and casting Python String Methods and Formatting Python Data Structures Python Functions 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 Python and data science Web development with Django Python Object Oriented Programming Building API from scratch This course is ideal for individuals who are Beginners to Python It is particularly useful for Beginners to Python.

Enroll now: Python : Comprehensive Bootcamp (Beginner To Professional)

Summary

Title: Python : Comprehensive Bootcamp (Beginner To Professional)

Price: $59.99

Average Rating: 4.58

Number of Lectures: 338

Number of Published Lectures: 338

Number of Curriculum Items: 338

Number of Published Curriculum Objects: 338

Original Price: $199.99

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 desktop applications

Learn how to create console applications

Learn how to create web applications

Learn about Python Data Types and casting

Python String Methods and Formatting

Python Data Structures

Python Functions

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

Python and data science

Web development with Django

Python Object Oriented Programming

Building API from scratch

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: Introduction

Lecture 1: Introduction

Lecture 2: High and low level programming languages

Lecture 3: Compilers and Interpreters

Lecture 4: What is Python

Chapter 2: Introduction to Command Line Interface

Lecture 1: What is command line

Lecture 2: How to access comandline interface

Lecture 3: What you can do with commandline

Lecture 4: Useful Commands

Chapter 3: Python Installation and Setup

Lecture 1: Installing Python on Windows

Lecture 2: Installing Python3 on Macs

Lecture 3: Installing Pycharm on Windows

Lecture 4: Changing Pycharm Theme

Lecture 5: Pycharm windows configuration: Part 1

Lecture 6: Pycharm windows configuration: Part 2

Lecture 7: Installing Pycharm on Macs

Lecture 8: Pycharm mac configuration

Lecture 9: Installing Atom Text Editor

Chapter 4: Interacting with Python

Lecture 1: Interacting using Python Shell

Lecture 2: Interacting using Python File

Lecture 3: Python Expressions

Lecture 4: Python Code Comments

Lecture 5: Python Code Indentation

Lecture 6: Python Variables

Lecture 7: Creating Variables

Lecture 8: Getting Input from Users

Chapter 5: 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 Operator Precedence

Chapter 6: Python Data Types

Lecture 1: Python Number Data Type

Lecture 2: Python String Data Type

Lecture 3: Python Boolean Data Type

Lecture 4: Casting Data Types

Chapter 7: 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 8: Python Data Structures

Lecture 1: What are data structures

Lecture 2: 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

Lecture 13: Creating a directory for Python Files

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

Lecture 11: For Loop and continue statement

Lecture 12: For Loop and else statement

Lecture 13: For Loop and Range Statement

Chapter 10: Python Functions

Lecture 1: What are Python 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: VarArgs Parameter

Lecture 13: Anonymous Functions

Lecture 14: Python DocStrings

Lecture 15: Python Decorators

Lecture 16: Python Function Vs Python Method

Chapter 11: Object Oriented Programming (OOP)

Lecture 1: What is OOP

Lecture 2: Creating a class

Lecture 3: instantiating a class

Instructors

Bluelime Learning Solutions
Making Learning Simple

Rating Distribution

1 stars: 9 votes

2 stars: 14 votes

3 stars: 143 votes

4 stars: 374 votes

5 stars: 511 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!