This hands-on Python programming course teaches you the key skills you’ll need to get started with programming in Python to a solid foundational level. The start of the course will lead you through writing and running basic Python scripts
This hands-on Python programming course teaches you the key skills you’ll need to get started with programming in Python to a solid foundational level.
The start of the course will lead you through writing and running basic Python scripts, and then guide you through how to use more advanced features such as file operations, regular expressions, working with binary data, and using the extensive functionality of Python modules.
Extra emphasis is placed on features unique to Python, such as tuples, array slices, and output formatting. This course provides an excellent kick-start for users new to Python and scripting, enabling you to quickly use basic Python skills on the job in a variety of ways.
You’ll be able use Python in basic web development projects, or use it to automate or simplify common tasks with the use of Python scripts.
The course also serves as a solid primer course/foundation for continued Python study in support for next level web development with Python, using Python in DevOps, Python for data science and machine learning, or Python for systems admin and networking support.
Students will work in a hands-on learning environment. The course is approximately 50% lecture and 50% hands-on lab, combining expert lecture, real-world demonstrations and group discussions with machine-based practical programming labs and exercises.
What You’ll Learn
Upon successful completion of this course, you will be able to:
Create working Python scripts following best practices
Use Python data types appropriately
Read and write files with both text and binary data
Search and replace text with regular expressions
Work with the standard library and its work-saving modules
Create "real-world", professional Python applications
Know when to use collections such as lists, dictionaries, and sets
Work with Pythonic features such as comprehensions and iterators
Write robust code using exception handling
Who Is The Course For?
This course provides an excellent kick-start for users new to Python and scripting, enabling them to use basic Python skills on the job in a variety of ways.
This course is appropriate for advanced users, system administrators and web site administrators who want to use Python to support their server installations, as well as anyone else who wants to automate or simplify common tasks with the use of Python scripts.
We can also deliver and customise this training course for larger groups – saving your organisation time, money and resources.
Course Subjects
Python Quick View
What is Python?
Python timeline
Advantages/disadvantages
Installing Python
Getting help
The Python Environment
Starting Python
Using the interpreter
Running a Python script
Editors and IDEs
Getting Started with Python
Using variables
Builtin functions
String data
Numberic data
Converting types
Console input/output
Command line parameters
Flow Control
About flow control
The if statement
Relational and Boolean operators
while loops
Exiting from loops
Array Types
About array types
Lists and list methods
Tuples
Indexing and slicing
Iterating through a sequence
Sequence functions, keywords, and operators
List comprehensions and generators
Working with Files
File overview
Opening a text file
Reading a text file
Writing to a text file
Dictionaries and Sets
About dictionaries
Creating dictionaries
Iterating through a dictionary
About sets
Creating sets
Working with sets
Functions
Defining functions
Returning values
Parameters and arguments
Variable scope
Sorting
The sorted() function
Custom sort keys
Lambda functions
Sorting in reverse
Using min() and max()
Errors and Exception Handling
Exceptions
Using try/catch/else/finally
Handling multiple exceptions
Ignoring exceptions
Modules and Packages
Creating Modules
The import statement
Module search path
Using packages
Function and module aliases
Getting Started with Object Oriented Programming and Classes
About object-oriented programming
Defining classes
Constructors
Understanding self
Properties
Instance Methods and data
Class methods and data
Inheritance
Prerequisites
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