Complete Python from Scratch: Start your career in Python 3+

(29 students)
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This course includes:

  • list-favs8 hours, 10 minutes
  • list-favsCPD Accreditation
  • list-favs60 units
  • list-favsFull lifetime access
  • list-favsAccess on mobile and TV
  • list-favsCertificate of completion
publisher
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Course Cloud

Key Concepts Covered by This Free Course

  • Understanding Python 3+
  • Command line basics and Python installation
  • Working with Python data types and operators
  • Learning about Git and Github
  • Creating and manipulating strings, lists, dictionaries, and tuples in Python
  • Mastering comparison and logical operators in Python
  • Gaining hands-on experience through practical coding exercises

Course Overview

Looking to kickstart your career in the world of Python programming? Look no further than our Complete Python from Scratch course! This comprehensive, beginner-friendly course covers all the key concepts and skills you need to get started with Python 3+ and pave the way for a successful career in this in-demand field.

In this course, you’ll start by learning the fundamentals of Python, from installation and command line basics to working with data types and operators. You’ll explore essential concepts like Git and Github, string manipulation, and comparison and logical operators through a series of engaging exercises that will put your newfound skills to the test.

Whether you’re a complete beginner or just looking to brush up on your Python skills, this course is the perfect starting point. Join us today and discover the power of Python for yourself!

Course Benefits

Investing in your education can be a daunting prospect, but our Complete Python from Scratch course offers a range of benefits that make it a smart choice for anyone looking to start their career in the tech industry.

In addition, completing this course can open up a range of exciting career opportunities. Whether you’re looking to work as a developer, data analyst or even a cybersecurity expert, Python is a must-have skill for anyone looking to succeed in the tech industry.

Career Path

  • Python Developer: Responsible for designing and developing Python applications and scripts that meet business needs.
  • Data Analyst: Responsible for analysing and interpreting complex data sets using Python.
  • Machine Learning Engineer: Responsible for developing and implementing machine learning algorithms and models using Python.
  • Web Developer: Responsible for creating and maintaining websites and web applications using Python.
  • Software Engineer: Responsible for designing and developing software applications and systems using Python.

Course content

  • video 1a Python Course Introduction
    00:04:00
  • video 1b Python Course Curriculum Overview
    00:10:00
  • video 1c Python Whats New
    00:04:00
  • video 2a Command Line Basics in Python
    00:06:00
  • video 2b Python Installation
    00:06:00
  • video 2c Pycham-ce ide installation
    00:06:00
  • video 2d Setting up environment
    00:07:00
  • video 2e Running Python Code
    00:10:00
  • video 2f Git and Github Overview
    00:04:00
  • video 3a Python Data Types
    00:09:00
  • video 3b Python Arithmetic Operators Numbers
    00:12:00
  • video 3f Variable Assignments
    00:15:00
  • video 3g Strings Introduction
    00:06:00
  • video 3h Indexing and Slicing with Strings
    00:08:00
  • video 3k String Properties and Methods
    00:12:00
  • video 3l Formatting strings in python
    00:07:00
  • video 3n Lists in Python
    00:11:00
  • video 3r Dictionaries in python
    00:07:00
  • video 3v Tuples in Python
    00:09:00
  • video 4a Comparison Operators in Python
    00:15:00
  • video 4b Logical Operators in Python
    00:08:00
  • video 5a If Elif and Else Statements in Python
    00:08:00
  • video 5b For Loops in Python
    00:08:00
  • video 5c While Loops in Python
    00:04:00
  • video 6a Functions in Python
    00:07:00
  • video 6b Methods in Python
    00:11:00
  • video 6c List Methods in Python
    00:11:00
  • video 6j ii 2D Lists using Nested Loop in Python
    00:06:00
  • video 7a Introduction of Object Oriented Programming in Python
    00:11:00
  • video 7b Attributes and Class keyword
    00:13:00
  • video 7c Class object, attributes and methods in Python
    00:11:00
  • video 7d Inheritance
    00:10:00
  • video 7e Encapsulation in Python
    00:07:00
  • video 7f Polymorphism opps in Python
    00:11:00
  • video 8a Pypi and Pip
    00:06:00
  • video 8b Modules in Python
    00:09:00
  • video 8c Packages in Python
    00:09:00
  • video 9a Errors and Exception Handiling in Python
    00:10:00
  • video 10a Guessing Game in Python
    00:06:00
  • video 10b Car Game using Python
    00:12:00
  • video 10c Dice Game using python
    00:05:00
  • video 10d Card and Deck Game in Python
    00:07:00
  • video 11a Decorators in Python
    00:06:00
  • video 12a Python Generators
    00:06:00
  • video 14a Built-in Modules Random Values
    00:06:00
  • video 14b Datetime in Python
    00:04:00
  • video 14d Timing your code execution
    00:06:00
  • video 14e Regular Expressions -re
    00:09:00
  • video 15a First Django Project creation
    00:12:00
  • video 15b First Django App
    00:05:00
  • video 15c View Functions in Django
    00:03:00
  • video 15d URL Mapping on Django in Python
    00:14:00
  • video 15e Models in django
    00:06:00
  • video 15f Migrations in django
    00:10:00
  • video 15g Admin in Django project
    00:11:00
  • video 15h Customizing the Admin in Django project
    00:05:00
  • video 15i Templates in Django project
    00:10:00
  • video 15j Adding Bootstrap on django project
    00:07:00
  • video 15k Rendering Bootstrap Cards in django project App
    00:09:00
  • video 15l Navigation in django
    00:03:00
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About Course Publisher

Course Cloud
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