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Mastering Python Programming

Course Code: 1200

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$2495

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Overview
Schedule classes
What you'll learn
Outline
Prerequisites
Who should attend

Overview

Due to its flexibility, Python is now considered one of the top programming languages, ease of learning, and versatility. You can use in almost every discipline and industry, including Web Development, Data Science, Machine Learning, and Networking.

Designed for more experienced participants, Mastering Python programming is an introductory-and-above -level, hands-on Python programming training course. You’ll explore everything from the basics of writing and running Python scripts to 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. The course trains participants to work with Python, beyond the academic overview of syntax and grammar.

Schedule Classes

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Course Delivery

This course is available in the following formats:

Live Classroom
Duration: 5 days

Live Virtual Classroom
Duration: 5 days

What You'll learn

Creating Python scripts
Python data types
Reading and writing files
Searching and replacing text with regular expressions
The standard library and its work-saving modules
Lesser-known but powerful Python data types
Creating professional Python applications
Working with dates, times, and calendars
Using lists, dictionaries, and sets
Pythonic features such as comprehensions and iterators
Exception handling

Outline

Module 1: An Overview of Python

What is python?
The Python Timeline
Advantages/Disadvantages of Python
Getting help with pydoc

Module 2: The Python Environment

Starting Python
Using the interpreter
Running a Python script
Python scripts on Unix/Windows
Editors and IDEs

Module 3: Getting Started

Using variables
Built-in functions
Strings
Numbers
Converting among types
Writing to the screen
Command line parameters

Module 4: Flow Control

About flow control
White space
Conditional expressions
Relational and Boolean operators
While loops
Alternate loop exits

Module 5: Array types

About array types (AKA sequences)
Lists and list methods
Tuples
Indexing and slicing
Iterating through a sequence
Nested sequences
Sequence functions, keywords, and operators
List comprehensions
Generator Expressions

Module 6: Working with files

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

Module 7: Dictionaries and Sets

About dictionaries
Creating dictionaries
Iterating through a dictionary
About sets
Creating sets
Working with sets

Module 8: Functions

Defining functions
Parameters
Global and local scope
Nested functions
Returning values

Module 9: Sorting

The sorted() function
Alternate keys
Lambda functions
Sorting collections
Using operator.itemgetter()
Reverse sorting

Module 10: Errors and Exception Handling

Syntax errors
Exceptions
Using try/catch/else/finally
Handling multiple exceptions
Ignoring exceptions

Module 11: Modules and Packages

The import statement
Module search path
Creating Modules
Using packages
Function and Module aliases

Module 12: Classes

About OO programming
Defining classes
Constructors
Methods
Instance data
Properties
Class methods and data

Module 13: Regular Expressions

RE syntax overview
RE Objects
Searching and matching
Compilation flags
Groups and special groups
Replacing text
Splitting strings

Module 14: The standard library

The sys module
Launching external programs
Math functions
Random numbers
The string module
Reading CSV data

Module 15: Dates and times

Working with dates and times
Translating timestamps
Parsing dates from text
Formatting dates
Calendar data

Module 16: Working with the file system

Paths, directories, and filenames
Checking for existence
Permissions and other file attributes
Walking directory trees
Creating filters with fileinput
Using shutil for file operations

Module 17: Advanced data handling

Defaultdict and Counter
Prettyprinting data structures
Compressed archives (zip, gzip, tar, etc.)
Persistent data

Module 18: Network programming

Using requests
Grabbing web content
Sending email
Using SSH for remote access
Using FTP

Module 19: Writing real-life applications

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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Prerequisites

Participants need to be familiar with any programming or scripting language and Unix/Linux, Mac, or Windows.

Who Should Attend

This course is highly recommended for current and aspiring –

Software Engineers
DevOps Engineers
Cloud Architects
Data Scientists
Web Developers
Machine Learning professionals
.Net Developers
Backend Developers
RPA Developers
Web Designers
WordPress Developers
PHP Developers
Tech Support Professionals

Interested in this course? Let’s connect!

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