Python Programming Course


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    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.

    Course Syllabus

    Module 1: Getting Started with Python

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

    Module 2: Working with Primitive Data Types

    1. Module 2 File
    2. Working with Primitive Data Types
    3. Working with Primitive Data Types Part 2
    4. Working with Primitive Data Types Part 3
    5. Working with Primitive Data Types Part4
    6. Working with Primitive Data Types Part4 Answers

    Module 3: Working with Multiple Assignments Statements

    1. Module 3 File
    2. Working with Multiple Assignments Statements

    Module 4: Convert Types in Python

    1. Module 4 File
    2. Convert Types in Python

    Module 5: Creating Lists

    1. Module 5 File
    2. Creating Lists

    Module 6: Modifying Lists

    1. Module 6 Notes
    2. Modifying Lists

    Module 7: Sorting and Reversing Lists

    1. Module 7 File
    2. Sorting and Reversing Lists

    Module 8: Slicing Lists

    1. Module 8 File
    2. Slicing Lists

    Module 9: Working With Operators

    1. Module 9 File
    2. Working With Operators
    3. Working With Operators Part2
    4. Working With Operators Part3

    Module 10: Determining Operator Precedence

    1. Module 10 File
    2. Determining Operator Precedence

    Module 11: Working with IF Statements

    1. Module 11 File
    2. Working with IF Statements

    Module 12: Working With For Loops

    1. Module 12 File
    2. Working With For Loops

    Module 13: Working With While Loops

    1. Module 13 File
    2. Working With While Loops

    Module 14: Nesting for Loops

    1. Module 14 File
    2. Nesting for Loops

    Module 15: Reading Files

    1. Module 15 File
    2. Reading Files Part1
    3. Reading Files Part2

    Module 16: More on Files

    1. Module 16 File
    2. More on Files

    Module 17: Merging Emails

    1. Module 17 File
    2. Merging Emails

    Module 18: Reading Console Inputs and Formatting Outputs

    1. Module 18 File
    2. Reading Console Inputs and Formatting Outputs

    Module 19: Reading Command Line Argument

    1. Module 19 File
    2. Reading Command Line Argument

    Module 20: Defining Functions

    1. Module 20 File
    2. Defining Functions

    Module 21: Using Default Argument

    1. Module 21 File
    2. Using Default Argument


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