Python Programming Course

Course Description

8. 49 Hours

25 Videos

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.

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Course Syllabus

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
Working with Primitive Data Types Part 2
Working with Primitive Data Types Part 3
Working with Primitive Data Types Part4
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
Working With Operators Part2
Working With Operators Part3

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 12: Working With For Loops

Module 12 File
Working With For Loops

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

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Practice Quizzes And Exams

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Frequently Asked Questions

How does online education work on a day-to-day basis?

Instructional methods, course requirements, and learning technologies can vary significantly from one online program to the next, but the vast bulk of them use a learning management system (LMS) to deliver lectures and materials, monitor student progress, assess comprehension, and accept student work. LMS providers design these platforms to accommodate a multitude of instructor needs and preferences.

Is online education as effective as face-to-face instruction?

Online education may seem relatively new, but years of research suggests it can be just as effective as traditional coursework, and often more so. According to a U.S. Department of Education analysis of more than 1,000 learning studies, online students tend to outperform classroom-based students across most disciplines and demographics. Another major review published the same year found that online students had the advantage 70 percent of the time, a gap authors projected would only widen as programs and technologies evolve.

Do employers accept online degrees?

All new learning innovations are met with some degree of scrutiny, but skepticism subsides as methods become more mainstream. Such is the case for online learning. Studies indicate employers who are familiar with online degrees tend to view them more favorably, and more employers are acquainted with them than ever before. The majority of colleges now offer online degrees, including most public, not-for-profit, and Ivy League universities. Online learning is also increasingly prevalent in the workplace as more companies invest in web-based employee training and development programs.

Is online education more conducive to cheating?

The concern that online students cheat more than traditional students is perhaps misplaced. When researchers at Marshall University conducted a study to measure the prevalence of cheating in online and classroom-based courses, they concluded, “Somewhat surprisingly, the results showed higher rates of academic dishonesty in live courses.” The authors suggest the social familiarity of students in a classroom setting may lessen their sense of moral obligation.

How do I know if online education is right for me?

Choosing the right course takes time and careful research no matter how one intends to study. Learning styles, goals, and programs always vary, but students considering online courses must consider technical skills, ability to self-motivate, and other factors specific to the medium. Online course demos and trials can also be helpful.

What technical skills do online students need?

Our platform typically designed to be as user-friendly as possible: intuitive controls, clear instructions, and tutorials guide students through new tasks. However, students still need basic computer skills to access and navigate these programs. These skills include: using a keyboard and a mouse; running computer programs; using the Internet; sending and receiving email; using word processing programs; and using forums and other collaborative tools. Most online programs publish such requirements on their websites. If not, an admissions adviser can help.