Python Programming Course

$99.00

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 is 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 to program

How much can you make?

The average salary for a Python Developer is $117,155 per year in the United States. You can just search for Python jobs and see the ranges from $20/hr to over $40/hr.

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.

For complete information on this certification course, please visit the Python website for details.

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Module 1: Getting Started with Python

Module 1 File
Intro to Course and Instructor
Getting Started with Python

Module 2: Working with Primitive Data Types

Module 2 File
Working with Primitive Data Types Part 1-4
Working with Primitive Data Types Part4 Answers

Module 3: Working with Multiple Assignments Statements

Module 3 File
Working with Multiple Assignments Statements

Module 4: Convert Types in Python

Module 4 File
Convert Types in Python

Module 5: Creating Lists

Module 5 File
Creating Lists

Module 6: Modifying Lists

Module 6 Notes
Modifying Lists

Module 7: Sorting and Reversing Lists

Module 7 File
Sorting and Reversing Lists

Module 8: Slicing Lists

Module 8 File
Slicing Lists

Module 9: Working With Operators

Module 9 File
Working With Operators Part 1-3

Module 10: Determining Operator Precedence

Module 10 File
Determining Operator Precedence

Module 11: Working with IF Statements

Module 11 File
Working with IF Statements

Module 13: Working With While Loops

Module 13 File
Working With While Loops

Module 14: Nesting for Loops

Module 14 File
Nesting for Loops

Module 15: Reading Files

Module 15 File
Reading Files Part1
Reading Files Part2

Module 16: More on Files

Module 16 File
More on Files

Module 17: Merging Emails

Module 17 File
Merging Emails

Module 18: Reading Console Inputs and Formatting Outputs

Module 18 File
Reading Console Inputs and Formatting Outputs

Module 19: Reading Command Line Argument

Module 19 File
Reading Command Line Argument

Module 20: Defining Functions

Module 20 File
Defining Functions

Module 21: Using Default Argument

Module 21 File
Using Default Argument

Module 22: Using Keyword and Positional Arguments

Module 22 File
Using Keyword and Positional Arguments

Module 23: Handling Exceptions

Module 23 File
Handling Exceptions

Module 24: Using Math and Random Modules

Module 24 File
Using Math and Random Modules

Module 25: Displaying Daytime Working Directory and File Metadata

Module 25 File
Displaying Daytime Working Directory and File Metadata