Overview
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. 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. If you’re looking to ace the Certified Kubernetes Application Developer (CKAD) exam, this is the video IT course for you! Through its comprehensive instruction materials, and lectures, it will teach you all that there is to know about Kubernetes – an open-source system designed by Google but now maintained by The Cloud Native Computing Foundation and pass the certification program. In this course you will learn how to plan and implement enterprise database infrastructure solutions by using SQL Server 2012 and other Microsoft technologies. This course will teach you how to consolidate SQL Server workloads, work with both on-premises and Microsoft Azure cloud-based solutions, and how to plan and implement high availability and disaster recovery solutions. You will learn how to create plans and designs for database structure, storage, objects, and servers. In this Microsoft 70-462: Administering SQL Server Databases course you will learn how to perform installation, maintenance, and configuration tasks. This course will also teach you other responsibilities including setting up database systems, making sure those systems operate efficiently, and regularly storing, backing up, and securing data from unauthorized access. This course will provide students with the knowledge and skills to maintain a Microsoft SQL Server 2012 database and focuses on teaching individuals how to use SQL Server 2012 product features and tools related to maintaining a database. In this Microsoft 70-487 course you will learn how to access data, query and manipulate data by using the entity framework, create and consume web API-based services, design and implement web services, and deploy in Microsoft Azure and Web Services.
Your Training Instructor
David Biggers
IT 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.
- 7 Traning Hours
- 33 Videos
- 25 Topics
- 57 Practice Questions
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.
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
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