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Introduction to Python Training

Introduction to Python Training

Course 1905

Duration: 3 days
Labs: Yes
Language: English
17 NASBA CPE Credits (live, in-class training only)
Level: Foundation

On-Demand Python Training Available

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Interested in learning how to write code and develop apps in Python?

In this Introduction to Python course, you will learn how to use Python’s features, standard library modules, and third-party software packages.

Introduction to Python Training Delivery Methods

In-Person
Online

Introduction to Python Training Course Information

In this Python course, you will learn how to:

Rapidly develop feature-rich applications using Python's built-in statements, functions, and collection types.
Structure code with classes, modules, and packages that leverage object-oriented features.
Create multiple data accessors to manage various data storage formats.
Access additional features with library modules and packages.

Prerequisites

Experience with another procedural or object-oriented programming language, such as C, C++, Java, or VB.NET
Familiarity with concepts, such as variables, loops, and branches with some experience using a text editor to edit program code

Introduction to Python Instructor-Led Course Outline

Module 1: Python Overview

In this module, you learn about:

Enter statements into the Python Console
Identify and access documentation

Module 2: Working with Numbers and Strings

In this module, you learn about:

Define an object and a type
Assign objects to variables
Employ arithmetic operators
Use string operations and methods
Index and slice strings
Make decisions using the if statement

Module 3: Collections

In this module, you learn about:

Learn about lists, tuples, dictionaries and sets
Create and modify list operators and methods
Index and slice lists and tuples
Create and process dictionaries using functions and methods
Perform set arithmetic
Test for membership in a collection
Iterate using for and while loops
Apply list comprehensions

Module 4: Functions

In this module, you learn about:

Create functions
Call functions using positional and keyword argument passing
Handle unlimited numbers of keyword or positional arguments
Return values from functions
Know the 4 levels of scope
Create and call lambda functions

Module 5: Object-Oriented Programming

In this module, you learn about:

Define classes
Add attributes using the constructor method
Add additional methods to objects
Access class attributes
Leverage inheritance

Module 6: Modules

In this module, you learn about:

Import additional modules
Access attributes from another namespace
Inspect the current namespace
Test the __name__ attributes
Access modules from the standard library
Navigate package contents

Module 7: Managing Exceptions and Files

In this module, you learn about:

Handle exceptions raised by Python
Raise exceptions
Open, close, read and write to files
Iterate through a file
Leverage the context manager to open and close files
Define the 3 standard streams

Module 8: Accessing Relational Databases with Python

In this module, you learn about:

Describe a relational database
Describe the steps to access a database from a Python program
Create a database connection
Interact with the database through a cursor
Execute SQL statements using a cursor

Get This Course $2,785 GOV $2,222

3-day instructor-led training course
After-course coaching available
After-course computing sandbox
End-of-course exam included

Get the Advantage $3,895

Take this course and gain unlimited access to more than 300 virtual instructor-led courses
Future-proof your career with more than 100 sought-after certifications in the market
Build real skills through hands-on learning in more than 180 virtual labs
Grow your skills and capabilities with more than one course at a time and save

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#1905

Jun 16 - 18 9:00 AM - 4:30 PM EDT

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Jun 25 - 27 9:00 AM - 4:30 PM EDT

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Jul 16 - 18 9:00 AM - 4:30 PM EDT

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Jul 23 - 25 9:00 AM - 4:30 PM EDT

Washington, DC or Virtual
Jul 23 - 25 12:00 PM - 7:30 PM EDT

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Jul 30 - Aug 1 11:00 AM - 6:30 PM EDT

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Toronto or Virtual
Aug 13 - 15 9:00 AM - 4:30 PM EDT

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Aug 20 - 22 9:00 AM - 4:30 PM EDT

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Austin or Virtual
Sep 3 - 5 9:00 AM - 4:30 PM EDT

New York or Virtual
Sep 10 - 12 9:00 AM - 4:30 PM EDT

Washington, DC or Virtual
Guaranteed to Run - you can rest assured that the class will not be cancelled.
Sep 17 - 19 9:00 AM - 4:30 PM EDT

Virtual
Sep 24 - 26 9:00 AM - 4:30 PM EDT

Virtual
Sep 24 - 26 12:00 PM - 7:30 PM EDT

Bellevue, WA or Virtual
Oct 1 - 3 9:00 AM - 4:30 PM EDT

Toronto or Virtual
Oct 8 - 10 9:00 AM - 4:30 PM EDT

New York or Virtual
Nov 5 - 7 10:00 AM - 5:30 PM EST

Austin or Virtual
Nov 12 - 14 11:00 AM - 6:30 PM EST

Aurora, CO or Virtual
Jan 7 - 9 12:00 PM - 7:30 PM EST

San Francisco or Virtual
Feb 11 - 13 9:00 AM - 4:30 PM EST

Washington, DC or Virtual
Feb 25 - 27 9:00 AM - 4:30 PM EST

Ottawa or Virtual
Mar 4 - 6 11:00 AM - 6:30 PM EST

Aurora, CO or Virtual
Mar 11 - 13 9:00 AM - 4:30 PM EDT

Herndon, VA or Virtual
Mar 18 - 20 9:00 AM - 4:30 PM EDT

New York or Virtual

Scroll to view additional course dates

3-day instructor-led training course
After-course coaching available
After-course computing sandbox
End-of-course exam included

Get the Advantage $3,895

Take this course and gain unlimited access to more than 300 virtual instructor-led courses
Future-proof your career with more than 100 sought-after certifications in the market
Build real skills through hands-on learning in more than 180 virtual labs
Grow your skills and capabilities with more than one course at a time and save

Thank you for choosing subscriptions!

#1905

Jun 16 - 18 9:00 AM - 4:30 PM EDT

Virtual
Guaranteed to Run - you can rest assured that the class will not be cancelled.
Jun 25 - 27 9:00 AM - 4:30 PM EDT

Virtual
Jul 9 - 11 10:00 AM - 5:30 PM EDT

Austin or Virtual
Jul 16 - 18 9:00 AM - 4:30 PM EDT

New York or Virtual
Guaranteed to Run - you can rest assured that the class will not be cancelled.
Jul 23 - 25 9:00 AM - 4:30 PM EDT

Washington, DC or Virtual
Jul 23 - 25 12:00 PM - 7:30 PM EDT

San Francisco or Virtual
Jul 30 - Aug 1 11:00 AM - 6:30 PM EDT

Aurora, CO or Virtual
Aug 6 - 8 9:00 AM - 4:30 PM EDT

Toronto or Virtual
Aug 13 - 15 9:00 AM - 4:30 PM EDT

Ottawa or Virtual
Guaranteed to Run - you can rest assured that the class will not be cancelled.
Aug 20 - 22 9:00 AM - 4:30 PM EDT

Herndon, VA or Virtual
Aug 27 - 29 10:00 AM - 5:30 PM EDT

Austin or Virtual
Sep 3 - 5 9:00 AM - 4:30 PM EDT

New York or Virtual
Sep 10 - 12 9:00 AM - 4:30 PM EDT

Washington, DC or Virtual
Guaranteed to Run - you can rest assured that the class will not be cancelled.
Sep 17 - 19 9:00 AM - 4:30 PM EDT

Virtual
Sep 24 - 26 9:00 AM - 4:30 PM EDT

Virtual
Sep 24 - 26 12:00 PM - 7:30 PM EDT

Bellevue, WA or Virtual
Oct 1 - 3 9:00 AM - 4:30 PM EDT

Toronto or Virtual
Oct 8 - 10 9:00 AM - 4:30 PM EDT

New York or Virtual
Nov 5 - 7 10:00 AM - 5:30 PM EST

Austin or Virtual
Nov 12 - 14 11:00 AM - 6:30 PM EST

Aurora, CO or Virtual
Jan 7 - 9 12:00 PM - 7:30 PM EST

San Francisco or Virtual
Feb 11 - 13 9:00 AM - 4:30 PM EST

Washington, DC or Virtual
Feb 25 - 27 9:00 AM - 4:30 PM EST

Ottawa or Virtual
Mar 4 - 6 11:00 AM - 6:30 PM EST

Aurora, CO or Virtual
Mar 11 - 13 9:00 AM - 4:30 PM EDT

Herndon, VA or Virtual
Mar 18 - 20 9:00 AM - 4:30 PM EDT

New York or Virtual

Scroll to view additional course dates

Bring this or any training to your organization
Full-scale program development
Delivered when, where, and how you want it
Blended learning models
Tailored content

Get the Advantage $3,895

Take this course and gain unlimited access to more than 300 virtual instructor-led courses
Future-proof your career with more than 100 sought-after certifications in the market
Build real skills through hands-on learning in more than 180 virtual labs
Grow your skills and capabilities with more than one course at a time and save

Thank you for choosing subscriptions!

#1905

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Introduction to Python Training Course FAQs

This course offers you the opportunity to earn the following industry credits and certifications:

Certified Specialist in Python Programming (Learning Tree certification)
17 NASBA Credits (in-class attendance required)

Once you complete the Introduction to Python course, you’ll have access to a preconfigured virtual machine where you can redo your tests, develop and test code, and experiment with software you used during your training.

Experience with another procedural or object-oriented programming language, such as C, C++, Java, VB .NET, or SQL
Familiarity with concepts, such as variables, loops, and branches, with some experience using a text editor to edit program code

Python developers write the code necessary to develop applications using Python's built-in statements, functions, and collection types. Python is also a very popular language for data analytics.

There are many pathways to becoming a Python programmer, but the skills required typically include a firm understanding of object-oriented programming and experience in developing applications with Python.

Yes, this course, combined with some personal reading on recursion and Python’s exception hierarchy, will help you prepare for the PCEP exam.

The Certified Entry-Level Python Programmer (PCEP) certification is a certification program designed to demonstrate an individual's competency in basic Python programming concepts. The certification is intended for entry-level programmers who have a fundamental understanding of Python and want to document their knowledge and skills in the language.

Yes! By obtaining the PCEP certification, individuals can demonstrate their knowledge of Python and ability to write clean, efficient, and effective code. This can help them stand out from other candidates when applying for entry-level programming jobs and can also help them advance their careers by showing employers that they have an understanding of the Python programming language basics.

This course prepares you quite well (roughly 90%) for the PCEP exam but not sufficiently for the PCAP. Passing the PCAP exam requires Python fluency in many advanced techniques and concepts, some achievable only through personal research, practice, and coding experience.

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