Udemy

Python Beginner Projects: Create 17 Projects from scratch

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  • 637 Students
  • Updated 8/2021
  • Certificate Available
4.0
(66 Ratings)
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Course Information

Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
17 Hour(s) 27 Minute(s)
Language
English
Taught by
Bluelime Learning Solutions
Certificate
  • Available
  • *The delivery and distribution of the certificate are subject to the policies and arrangements of the course provider.
Rating
4.0
(66 Ratings)
2 views

Course Overview

Python Beginner Projects:  Create 17 Projects from scratch

Build 17 Practical and Useful Projects with Python Step by Step.

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.

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




Projects we will create:


  • Image Slider

  • Currency Converter

  • Loan Calculator

  • Digital Clock

  • Music Player

  • Converting Text to Speech

  • Random Password Generator

  • Weight Conversion Tool

  • Basic Calculator

  • Countdown Timer

  • Basic Encryption

  • Birthday Reminder

  • Web scraping Project

  • Machine Learning Project

  • Portfolio Project

  • Todo Web App Project

  • Lottery Number Simulator

  • Screen break program

  • Random Number Generator

  • Times Table Generator

  • Program to Removing vowels

  • Number guessing game



Course Content

  • 18 section(s)
  • 188 lecture(s)
  • Section 1 Setting Up Development Environment
  • Section 2 Project 1: Create an Image Slider
  • Section 3 Project 2: Currency Converter
  • Section 4 Project 3: Loan Calculator
  • Section 5 Project 4: Digital Clock
  • Section 6 Project 5: Music Player
  • Section 7 Project 6: Converting Text to Speech Program
  • Section 8 Project 7: Random Password Generator
  • Section 9 Project 8: Feet to Meters conversion tool
  • Section 10 Project 9: Calculator
  • Section 11 Project 10: Countdown Timer
  • Section 12 Project 11: Basic Encryption Program
  • Section 13 Project 12: Birthday Reminder Program
  • Section 14 Projects 13: Short Projects
  • Section 15 Project 14: Web Scraping
  • Section 16 Project 15: Machine Learning House Value Estimator
  • Section 17 Project 16: Portfolio App
  • Section 18 Project 17: Todo list web app

What You’ll Learn

  • How to import Python Modules
  • How to create Python Functions
  • How to install a virtual environment
  • How to create and activate a virtual environment
  • How to use Tkinter Module to create GUI Applications
  • How to install Django
  • How to create projects with Python and Django
  • How to use database in a Python Project
  • How to use version control in a Python Project
  • How to create and use classes in Python Projects


Reviews

  • R
    Russell Johnson
    5.0

    Great so far

  • V
    Vadlamudi Sudha Malathi
    4.0

    INTERESTING TO LEARN STEP BY STEP

  • A
    Aryan Sanjay Ingle
    1.0

    This course is not worth 3000 Rs and neither 300 Rs it should be very low

  • F
    Felix Echavarria
    4.0

    The course content in terms of the projects is pretty good for beginners. As this course is intended for beginners additional examples of what is being done so that we understand the code better and can implement it later into our own projects.

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