Course Code: GES340
Introduction to Python
I. Python Basics
A. Running Python
B. Hello, World!
D. Python Comments
E. Data Types
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
A. Arithmetic Operators
B. Modulus and Floor Division
C. Assignment Operators
D. Built-in Math Functions
E. The math Module
F. The random Module
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
C. Unpacking Sequences
E. The len() Function
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
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
XI. Introduction to Python Final Exam
I. IPython Notebook
A. Getting Started with IPython Notebook
B. Creating Your First IPython Notebook
C. IPython Notebook Modes
D. Useful Shortcut Keys
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
C. Getting Data from the Web
V. Classes and Objects
A. Creating Classes
B. Attributes, Methods and Properties
C. Extending Classes
D. Documenting Classes
E. Static, Class, Abstract Methods
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
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
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
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.
There are no prerequisites for this course, however prior knowledge of any programming language is helpful.
The instructional materials required for this course are included in enrollment and will be available online.
Check if you have Python 3 installed:
To check if you have Python already installed:
Install Python 3.4
Option 1: Install Anaconda (recommended)
Option 2: Install Python only.
Test your installation by opening a command prompt and typing "python"
If you are completely new to programming, this is the course for you. It will take you from A-Z and give you the footing you need to begin a career in this field."
The Web Design Professional Course has given me the confidence to start my own business. I look forward to using my new web designs skills to gain exposure online."
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.
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.
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.
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.
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.
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.
Upon successful completion of the course, you will be awarded a Certificate of Completion.
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.
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: https://www.ed2go.com/career/financial-assistance
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