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Python Programming Course
Python, which has been around for nearly three decades, is one of the most widely used programming languages in existence. This Python programming course is particularly helpful to data scientists and machine learning professionals, Python stands out due to its ease-of-use – it’s no wonder that universities now make it their go-to language when teaching coding.
Included In This Course
Included In This Course
7 Training Hours
33 On-demand Videos
Closed Captions
25 Topics
57 Prep Questions
Certificate of Completion
Course Description
Learn Python in this Python Programming Course
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.
Our Python programming 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 in our Python programming course, you will work on exercises to prove to yourself you can do this.
After taking this Python programming 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.
Frequently Asked Questions About Python Programming Course
What can I expect to learn from this Python Programming Online Course?
This training course teaches Python, one of the most widely used programming languages, particularly popular in data science and machine learning fields. You’ll start with the basics and work your way up to more complex concepts, making it suitable whether you’re a beginner or already have some coding experience. The online course is structured into modules covering topics such as primitive data types, list operations, working with operators, loops, file handling, function definition, exception handling, and much more. The course makes it easy to learn Python, even if it’s your first programming language.
Where can I apply the skills I learn from this Python Programming Online Course?
Python is used widely across a range of fields. After completing this course, you’ll be equipped to use Python in web development (with frameworks like Django, Flask, Pylons), data science and visualization (using Numpy, Pandas and Matplotlib), and machine learning (with Tensorflow and Scikit-learn)​.
Who is the instructor for this Python Programming Online Course?
The course is taught by David Biggers, an IT instructor with over 18 years of IT experience and 17 professional IT certifications. He has been teaching a broad range of certification courses ranging from CompTIA, Microsoft to Cisco and EC-Council for the past four years for the US Army. Prior to this, he worked as a Jr. Network Admin and Web Services Manager with KCTCS in Kentucky​.
How do I get access to this Python Programming Online Course?
You can access this course through ITU’s All Access Monthly Subscription. This gives you access not just to this course, but over 2,500 hours of on-demand content from leading development and technology companies including CompTIA, Cybersecurity, Project Management, Cisco, Microsoft, Adobe, Microsoft SQL, Azure, Amazon Web Services, Cloud Services, and more. You can start with 7 free days and cancel anytime.
What are the learning options for this Online Course?
The course offers flexible learning options. You can learn anywhere, anytime on your desktop, tablet, or mobile, as long as you have an internet connection. This makes it easy to fit the course into your schedule, whether you’re studying full-time, working, or just learning in your free time​.
What makes ITU Online IT Training Courses stand out?
ITU Online IT Training Courses stand out due to their certified expert instructors, extensive content, and flexible learning options. Every instructor must have a minimum of 10 years of experience in their respective fields and are recognized as experts. ITU has invested over 10 years in developing an extensive library of IT-focused training, and with the All Access program, you receive free and updated courses at no additional cost​.
Proudly DisplayYour Achievement
Upon completion of your training, you’ll receive a personalized certificate of completion to help validate to others your new skills.
Course Outline
Introduction to Python Course Content
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
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
Your Training Instructor
David has been a professional IT instructor for the past four years for the US Army. He teaches a broad range of certification courses ranging from CompTIA, Microsoft to Cisco and EC-Council. Prior to working with the US Army, David worked as a Jr. Network Admin and Web Services Manager with KCTCS in Kentucky. He performed multiple jobs being on the IT team. Additionally, David taught part-time during the evening at the college, where he instructed on Active Directory, Introduction to Computers, and Networking. David has 18 years of IT experience, 17 professional IT certifications, and 8 years of teaching experience.
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Python Programming Course
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