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.

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

This program can be taken on either a PC or a Mac OS X. It is compatible with the Windows XP (Service Pack 2) and later operating systems and with the latest versions of any of the following browsers: Mozilla Firefox, Internet Explorer, Google Chrome, Opera, and Safari.

NOTE: If you are taking an Online Instructor Led course, dual monitors are helpful but NOT required.

Our Introduction to Python course uses IDLE, a simple Python IDE/editor that comes bundled with Python. All you need for class is to have Python 3.3 or later installed and to download the class files.

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"

None, though some prior programming language knowledge is helpful.

1.    Can I register for programs if I am an international student?
Yes, because ed2go programs are online you never have to actually travel to the school.  Most schools offer telephone or online registration.

2.    How long does it take to complete a program?
All of our programs are self-paced and open enrollment, so you can start them when you want and finish them at your own pace.  When you register, you’ll receive six (6) months to complete the program.  

3.    What if I don't have enough time to complete my program within the time frame provided?
The time allotted to complete your program has been calculated based on the number of hours for each program, so don't worry too much about not completing in time. If, after a concerted effort, you are still unable to complete, your Student Advisor will help you work out a suitable completion date. Please note that a fee may be charged for an extension.

4.    Do I have to buy additional materials?
No

5.    Can I get financial assistance?
ed2go courses are non-credit courses, so they do not qualify for federal aid.  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.

6.    What happens when I complete the program?
Upon successful completion of the program, you will be awarded a certificate of completion.  

7.    Am I guaranteed a job?
ed2go programs will provide you with the skills you need to obtain an entry-level position in most cases.  We don’t provide direct job placement services, but our facilitators and career counselors will help you build your resume and are available to give advice on finding your first job.  Facilitators will also be available to use as a professional reference upon completion of the program.  Potential students should always do research on the job market in their area before registering.

8.    Who will be my instructor?
Each student is paired with a facilitator for one-on-one interaction.  The facilitator will be available (via e-mail) to answer any questions you may have and to provide feedback on your performance.  All of our facilitators are successful working professionals in the fields in which they teach.

9.    What software or hardware do I need in order to take online programs and what are the system requirements?
In order to take our online programs, you must have access to a computer and the Internet.  You can access the program contents from any Web-enabled computer.  You don’t have to use the same computer to log-in to the program every time.  We recommend that you have a word-processing program (Microsoft Word is the best) and the latest version of Internet Explorer.

10.    Can I use a Mac?
Yes

11.    How can I get more information about this program?
If you have questions that are not answered on our website, please feel free to contact us via LIVE chat (click the button above).  If you are visiting us during non-business hours, please feel free to send us a question using the “Contact Us” form to the right.  You may also call us at 1-877-221-5151.  We will answer your questions promptly.  

12.    When can I start the program?
Our programs are all open enrollment.  You can register and start the program as soon as you are ready.

Please note:  Once the program curriculum is accessed online or through submission of a material shipment confirmation, refunds cannot be issued.

13.    Does this program prepare for a certification?
This program 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.