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Python Developer

Whether you’re new to programming or just want to learn a new language, this in-depth course will teach you the ins and outs of Python programming. You will learn all about Python programming in this comprehensive course that covers introductory through advanced methods of Python and get coding quickly.

Start by learning the basics of programming in Python including how it works and what it’s good for. You will also gain an understanding of Python’s place in the wider programming world. Then move on to more advanced methods where you’ll learn how to work with iPhone Notebook, the Collections Module, regular expressions, databases, CSV files, JSON, and XML. You will also learn advanced sorting, how to write object-oriented code in Python, and how to test and debug your Python code. Finally, you’ll get a rapid introduction to NumPy, pandas, and matplotlib, which are Python libraries.

6 Months / 155 Course Hrs
Open enrollment

Offered in Partnership with your Preferred School

Pensacola State College

Why this school? It's been chosen based on your location or if you've visited this school's website. Change School

Learning Method


Self-Paced. Study on your own schedule

Contact Us for additional information

Python Developer

Contact Us

Details + Objectives

Course Code: GES340

What You Will Learn
  • Learn how Python works and what it's good for
  • Understand Python's place in the world of programming languages
  • Learn to perform math operations with Python
  • Learn to work with Python sequences: lists, arrays, dictionaries, and sets
  • Learn advanced sorting
  • Learn to work with databases, CSV files, JSON, and XML
  • Learn to write object-oriented code in Python
  • Learn to test and debug your Python code
  • Learn about Unicode and text encoding
  • Learn to use NumPy to work with arrays and matrices of numbers
  • Learn to work with pandas to analyze data
How the course is taught
  • Self-paced, online course
  • 6 months to complete
  • Open enrollment, begin anytime
  • 155 course hours
How you will benefit
  • Prepare for an entry-level job as a Python programmer
  • Enhance your programming ability and add a new skill to your resume
  • Become more confident in your ability to use the Python programming language


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Introduction to Python
    I.    Python Basics
            A.    Running Python
            B.    Hello, World!
            C.    Literals
            D.    Python Comments
            E.    Data Types
            F.    Variables
            G.    Writing a Python Module
            H.    print() Function
            I.    Named Arguments
            J.    Collecting User Input
            K.    Getting Help
    II.    Functions and Modules
            A.    Defining Functions
            B.    Variable Scope
            C.    Global Variables
            D.    Function Parameters
            E.    Returning Values
            F.    Importing Modules
    III.    Math
            A.    Arithmetic Operators
            B.    Modulus and Floor Division
            C.    Assignment Operators
            D.    Built-in Math Functions
            E.    The math Module
            F.    The random Module
            G.    Seeding
    IV.    Python Strings
            A.    Quotation Marks and Special Characters
            B.    String Indexing
            C.    Slicing Strings
            D.    Concatenation and Repetition
            E.    Common String Methods
            F.    String Formatting
            G.    Built-in String Functions
    V.    Iterables: Sequences, Dictionaries, and Sets
            A.    Definitions
            B.    Sequences
            C.    Unpacking Sequences
            D.    Dictionaries
            E.    The len() Function
            F.    Sets
            G.    *args and **kwargs
    VI.    Flow Control
            A.    Conditional Statements
            B.    The is and is not Operators
            C.    Python's Ternary Operator
            D.    Loops in Python
            E.    The enumerate() Function
            F.    Generators
            G.    List Comprehensions
    VII.    File Processing
            A.    Opening Files
            B.    The os and os.path Modules
    VIII.    Exception Handling
            A.    Wildcard except Clauses
            B.    Getting Information on Exceptions
            C.    The else Clause
            D.    The finally Clause
            E.    Using Exceptions for Flow Control
            F.    Exception Hierarchy
    IX.    Dates and Times
            A.    Understanding Time
            B.    The time Module
            C.    The datetime Module
    X.    Running Python Scripts from the Command Line
            A.    sys.argv
    XI.    Introduction to Python Final Exam

Advanced Python
    I.    IPython Notebook
            A.    Getting Started with IPython Notebook
            B.    Creating Your First IPython Notebook
            C.    IPython Notebook Modes
            D.    Useful Shortcut Keys
            E.    Markdown
            F.    Magic Commands
            G.    Getting Help
    II.    Advanced Python Concepts
            A.    Advanced List Comprehensions
            B.    Collections Module
            C.    Mapping and Filtering
            D.    Lambda Functions
            E.    Advanced Sorting
            F.    Unpacking Sequences in Function Calls
            G.    Modules and Packages
    III.    Regular Expressions
            A.    Regular Expression Syntax
            B.    Python's Handling of Regular Expressions
    IV.    Working with Data
            A.    Databases
            B.    CSV
            C.    Getting Data from the Web
            D.    HTML
            E.    XML
            F.    JSON
    V.    Classes and Objects
            A.    Creating Classes
            B.    Attributes, Methods and Properties
            C.    Extending Classes
            D.    Documenting Classes
            E.    Static, Class, Abstract Methods
            F.    Decorators
    VI.    Testing and Debugging
            A.    Creating Simulations
            B.    Testing for Performance
            C.    The unittest Module
    VII.    Unicode and Encoding
            A.    Encoding and Decoding Files in Python
            B.    Converting a File from cp1252 to UTF-8
    VIII.    Advanced Python Final Exam

Python Data Analysis with NumPy and pandas
    I.    NumPy
            A.    One-dimensional Arrays
            B.    Multi-dimensional Arrays
            C.    Getting Basic Information about an Array
            D.    NumPy Arrays Compared to Python Lists
            E.    Universal Functions
            F.    Modifying Parts of an Array
            G.    Adding a Row Vector to All Rows
            H.    Random Sampling
    II.    Pandas
            A.    Series and DataFrames
            B.    Accessing Elements from a Series
            C.    Series Alignment
            D.    Comparing One Series with Another
            E.    Element-wise Operations
            F.    Creating a DataFrame from NumPy Array
            G.    Creating a DataFrame from Series
            H.    Creating a DataFrame from a CSVl
            I.    Getting Columns and Rows
            J.    Cleaning Data
            K.    Combining Row and Column Selection
            L.    Scalar Data: at[] and iat[]
            M.    Boolean Selection
            N.    Plotting with matplotlib
    III.    Python Data Analysis with NumPy and pandas Final Exam
Python Programmer Final Exam
Python Programmer Final Project

Instructors & Support

Nat Dunn

Nat Dunn founded Webucator in 2003 to combine his passion for technical training with his business expertise and to help companies benefit from both. His previous experience was in sales, business and technical training, and management. Nat has an MBA from Harvard Business School and a BA in International Relations from Pomona College.


Prerequisites / Requirements


There are no prerequisites for this course, however prior knowledge of any programming language is helpful.


Hardware Requirements:

  • This course can be taken on either a PC or Mac.

Software Requirements:

  • PC: Windows XP or later.
  • Mac: OS X Snow Leopard 10.6 or later.
  • Browser: The latest version of Google Chrome or Mozilla Firefox are preferred. Microsoft Edge and Safari are also compatible.
  • Python 3.3 or later.
  • Software must be installed and fully operational before the course begins. 
  • Adobe Flash Player. Click here to download the Flash Player.
  • Adobe Acrobat Reader. Click here to download the Acrobat Reader.


  • Email capabilities and access to a personal email account.
Instructional Materials

The instructional materials required for this course are included in enrollment and will be available online.

More About

Check if you have Python 3 installed:

To check if you have Python already installed:

  1. Open a command prompt
  2. Type "Python -V" (note there is a space before the capital V) and press the ENTER/RETURN key.
  3. If Python is installed, you will get a response telling you what version you have. If you have version 3.3 or later, you are all set for class.
  4. If you do not have Python or have an older version, follow the instructions below to install Python 3.4.

Install Python 3.4

Option 1: Install Anaconda (recommended)

  1. Go to the Anaconda download page.
  2. Next to CHOOSE YOUR INSTALLER, click on your operating system.
  3. Click on the I WANT PYTHON 3.4 link.
  4. Click on the link button that ends with "Python 3.4 Graphical Installer". Be sure to get Python 3.4 and not Python 2.7 (unless your company is taking a private Python 2 class)!
  5. Follow the installation instructions.

Option 2: Install Python only.

  1. Go to the Python download page.
  2. The web page should identify your operating system automatically. If it does not, select your operating system.
  3. Click the "Download Python 3.4.x" link to download the Python installer.
  4. Run the installer.

Test your installation by opening a command prompt and typing "python"



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Can I register for a course if I am an international student?

Yes, ed2go courses are completely online. However, keep in mind that not all certifying bodies or industry-specific certifications are recognized internationally. Please review your country’s regulations prior to enrolling in courses that prepare for certification.

Does this course prepare for a certification?

This course does not prepare you for a certification but prepares you to enter the job market as an entry-level Python programmer or will enhance your programming skills.

When can I start the course?

This course is open enrollment, so you can register and start the course as soon as you are ready. Access to your course can take 24-48 business hours.

How long does it take to complete this course?

This course is self-paced and open enrollment, so you can start when you want and finish at your own pace. When you register, you'll receive six (6) months to complete the course.

What if I don't have enough time to complete my course within the time frame provided?

The time allotted for course completion has been calculated based on the number of course hours. However, if you are unable to complete the course, contact your Student Advisor to help you work out a suitable completion date. Please note that an extension fee may be charged.

What kind of support will I receive?

You may be assigned with an instructor or team of industry experts for one-on-one course interaction. Your support will be available (via e-mail) to answer any questions you may have and to provide feedback on your performance. All of our instructors are successful working professionals in the fields in which they teach. You will be assigned to an Advisor for academic support.

What happens when I complete the course?

Upon successful completion of the course, you will be awarded a Certificate of Completion.

Am I guaranteed a job?

This course will provide you with the skills you need to obtain an entry-level position in most cases. Potential students should always do research on the job market in their area before registering.

Can I get financial assistance?

ed2go courses are non-credit, so they do not qualify for federal aid, FAFSA and Pell Grant. In some states, vocational rehab or workforce development boards will pay for qualified students to take our courses. Additionally, some students may qualify for financial assistance when they enroll, if they meet certain requirements. Financing is available from select schools. Learn more:

How can I get more information about this course?

If you have questions that are not answered on our website, representatives are available via LIVE chat. You can also call us at 1-877-221-5151 during regular business hours to have your questions promptly answered. If you are visiting us during non-business hours, please send us a question using the “Contact Us” form.

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