Programming & Development

Python 3 Essentials


An introductory and beyond-level practical, hands-on Python training course that leads the student from the basics of writing and running Python scripts to more advanced features.

Who Should Attend
Some programming experience in any language

Course Objectives
Throughout the course students will be led through a series of progressively advanced topics, where each topic consists of lecture, group discussion, comprehensive hands-on lab exercises, and lab review. This course is “skills-centric”, designed to train attendees in core Python and web development skills beyond an intermediate level, coupling the most current, effective techniques with best practices. Working within in an engaging, hands-on learning environment, guided by our expert Python practitioner, students will learn 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 • Get familiar with the standard library and its work-saving modules • Use lesser-known but powerful Python data types • Create “real-world”, professional Python applications • Work with dates, times, and calendars • Know when to use collections such as lists, dictionaries, and sets • Understand Pythonic features such as comprehensions and iterators • Write robust code using exception handling

Course Outline:

What is python?
An overview of Python
What is python?
Python Timeline
Advantages/Disadvantages of Python
Getting help with pydoc
Starting Python
Using the interpreter
Running a Python script
Python scripts on Unix/Windows
Editors and IDEs
Using variables
Built-in functions
Converting among types
Writing to the screen
Command line parameters
About flow control
White space
Conditional expressions
Relational and Boolean operators
While loops
Alternate loop exits
About sequences
Lists and list methods
Indexing and slicing
Iterating through a sequence
Sequence functions, keywords, and operators
List comprehensions
Generator Expressions
Nested sequences
File overview
Opening a text file
Reading a text file
Writing to a text file
Reading and writing raw (binary) data
Converting binary data with struct
About dictionaries
Creating dictionaries
Iterating through a dictionary
About sets
Creating sets
Working with sets
Defining functions
Global and local scope
Nested functions
Returning values
The sorted() function
Alternate keys
Lambda functions
Sorting collections
Using operator.itemgetter()
Reverse sorting
Syntax errors
Using try/catch/else/finally
Handling multiple exceptions
Ignoring exceptions
The import statement
Module search path
Creating Modules
Using packages
Function and Module aliases
About o-o programming
Defining classes
Instance data
Class methods and data
RE syntax overview
RE Objects
Searching and matching
Compilation flags
Groups and special groups
Replacing text
Splitting strings
The sys module
Launching external programs
Math functions
Random numbers
The string module
Reading CSV data
Working with dates and times
Translating timestamps
Parsing dates from text
Formatting dates
Calendar data
Paths, directories, and filenames
Checking for existence
Permissions and other file attributes
Walking directory trees
Creating filters with fileinput
Using shutil for file operations
17 – Advanced data handling
Defaultdict and Counter
Prettyprinting data structures
Compressed archives (zip, gzip, tar, etc.)
Persistent data
Defaultdict and Counter
Prettyprinting data structures
Compressed archives (zip, gzip, tar, etc.)
Persistent data
Grabbing web content
Sending email
Using SSH for remote access
Using FTP
Parsing command-line options
Detecting the current platform
Trapping signals
Implementing logging
Python Timeline
Advantages/Disadvantages of Python
Getting help with pydoc

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