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Introduction to Python

About the
course

N/A
Intermittent
7 Hrs 53 Min
33

Python is developed under an OSI-approved open source license, making it freely usable and distributable, even for commercial use. Python is a general-purpose programming language. Created nearly 30 years ago, it is now one of the most popular languages out there to use. Its popularity is particularly important in the data science and machine learning fields. But it is also a language that is easy to learn, and that’s why it has become the language most taught in universities.

Python interpreters are available for the main operating systems as well (Linux, Mac OS, Windows, Android, iOS, BSD, etc.) so it’s very flexible in where it is used. Python has a simple syntax that makes it suitable for learning to program as a first language. The learning curve is smoother than other languages such as Java, which quickly requires learning about Object Oriented Programming or C/C++ that require understanding pointers. Still, it's possible to learn about OOP or functional programming in Python when the time comes

Where is Python Used?
  • Web Development, using the frameworks Django, Flask, Pylons
  • Web Development, using the frameworks Django, Flask, Pylons
  • Machine learning with Tensorflow and Scikit-learn
  • Desktop applications with PyQt, Gtk, wxWidgets and many more
  • Mobile applications using Kivy or BeeWare
  • Education: Python is a great language to learn programming

What you will learn

Skills measured

  • Getting Started with Python
  • Working with Primitive Data Types
  • Module with Multiple Assignments Statements
  • Convert Types in Python
  • Creating/Modifying Lists
  • Sorting and Reversing Lists
  • Slicing Lists
  • + Much More
Get started
Average salary for Python Developer professionals

£57,500.00+

The average python developer salary in the United Kingdom is £57,500 per year or £29.49 per hour. Entry level positions start at £45,000 per year while most experienced workers make up to £80,000 per year..

Job Roles

  • Python Engineer
  • Backend Software Developer
  • Full Stack Developer
  • Python Developer
  • Software Developer
  • Machine Learning
  • Data Engineer
Outline of course

Syllabus

Module 1: Getting Started with Python
  1. Intro to Course and Instructor
  2. Getting Started with Python
Module 2: Working with Primitive Data Types
  1. Working with Primitive Data Types
  2. Working with Primitive Data Types pt.2
  3. Working with Primitive Data Types pt.3
  4. Working with Primitive Data Types pt.4
  5. Working with Primitive Data Types pt.5
Module 3: Module with Multiple Assignments Statements
  1. Working with Multiple Assignments Statements
Module 4: Convert Types in Python
  1. Convert Types in Python
Module 5: Creating Lists
  1. Creating Lists
Module 6: Modifying Lists
  1. Modifying Lists
Module 7: Sorting and Reversing Lists
  1. Sorting and Reversing Lists
Module 8: Slicing Lists
  1. Slicing Lists
Module 9: Working with Operators
  1. Working with Operators
  2. Working With Operators pt.2
  3. Working with Operators pt.3
Module 10: Determining Operator Precedence
  1. Determining Operator Precedence
Module 11: Working with IF Statements
  1. Working with IF Statements
Module 12: Working with for Loops
  1. Working with For Loops
Module 13: Working with While Loops
  1. Working with While Loops
Module 14: Disaster Recovery and Backup
  1. Nesting for Loops
Module 15: Reading Files
  1. Reading Files
  2. Reading Files pt.2
Module 16: More on Files
  1. More on Files
Module 17: Merging Emails
  1. Merging Emails
Module 18: Reading Console Inputs and Formatting Outputs
  1. Reading Console Inputs and Formatting Outputs
Module 19: Reading Command Line Argument
  1. Reading Command Line Argument
Module 20: Defining Functions
  1. Defining Functions
Module 21: Using Default Argument
  1. Using Default Argument
Module 22: Using Keyword and Positional Arguments
  1. Using Keyword and Positional Arguments
Module 23: Handling Exceptions
  1. Handling Exceptions
Module 24: Using Math and Random Modules
  1. Using Math and Random Modules
Module 25: Displaying Daytime Working Directory and File Metadata
  1. Displaying Daytime Working Directory and File Metadata
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