Introduction to Python

(1 customer reviews)
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Introduction to Python

(1 customer reviews)

| Total Course Video Hours: 7 Hrs 53 Min
|  Videos: 33
|  Course Access: 12 Months Unlimited Access
|  Study Method: Online Video Lessons
|  Course Type: Certificate Course
|  Award: Cyber Studies Institute

Course Fee:

R1600,00

Current Special Ends in:

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Overview

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
  • Data Science and Visualization using Numpy, Pandas and Matplotlib
  • 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!

How much can you make?

The average salary for a Python Developer is R99487.00 per month in South Africa (as per za.talent.com). This course will teach you and show you the basics of Python programming. We will go over concepts like loops, variables, operators, syntax, and coding practices. With each module, we will build upon your knowledge from the previous module. This reinforces all the concepts along the way and at the end of some modules, you will work on exercises to prove to yourself you can do this.

After taking this course you will be ready to move on to a move advanced course allowing you to build on the foundation this course provides. You will be making more sophisticated and more robust programs in no time using your new skills.
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Curriculum

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

1 review for Introduction to Python

  1. Michael

    The instructor was knowledgeable and passionate about the subject, which made the course enjoyable.

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