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Introduction to Python Training

Introduction to Python Training

Course 1905

Duration: 3 days
Labs: Yes
Language: English
Level: Foundation

Get This Course £1,495

3-day instructor-led training course
Earn 17 NASBA CPEs (live, in-class training only)
After-course coaching available
After-course computing sandbox
End-of-course exam included

Include dates with afternoon start times

#1905

Guaranteed to Run - you can rest assured that the class will not be cancelled.
Sep 21 - 23 2:00 PM - 9:30 PM BST

Ottawa or AnyWare
Oct 11 - 13 9:00 AM - 4:30 PM BST

London or AnyWare
Oct 19 - 21 3:00 PM - 10:30 PM BST

Austin or AnyWare
Guaranteed to Run - you can rest assured that the class will not be cancelled.
Nov 16 - 18 2:00 PM - 9:30 PM GMT

Herndon, VA or AnyWare
Dec 21 - 23 2:00 PM - 9:30 PM GMT

New York or AnyWare
Jan 17 - 19 9:00 AM - 4:30 PM GMT

London or AnyWare
Feb 8 - 10 2:00 PM - 9:30 PM GMT

Herndon, VA or AnyWare
Mar 22 - 24 1:00 PM - 8:30 PM GMT

Ottawa or AnyWare
Apr 18 - 20 9:00 AM - 4:30 PM BST

London or AnyWare
Apr 19 - 21 3:00 PM - 10:30 PM BST

Austin or AnyWare
Jun 27 - 29 2:00 PM - 9:30 PM BST

New York or AnyWare

Scroll to view additional course dates

Unlimited annual access to
- 6 on-demand video courses
- 3 eBooks
- 3-day instructor-led training course
- One-on-one after-course instructor coaching

#70B7

Nov 21 9:00 AM - 4:30 PM GMT

London or AnyWare
Jan 30 9:00 AM - 4:30 PM GMT

London or AnyWare
May 8 10:00 AM - 5:30 PM BST

London or AnyWare
Jul 31 10:00 AM - 5:30 PM BST

AnyWare

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

#1905

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 Benefits:

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
Test your knowledge with the included end-of-course exam
Leverage continued support with after-course one-on-one instructor coaching and computing sandbox

Introduction to Python Instructor-Led Course Outline

Module 1: Introduction to Python

In this module, you learn about:

Python language characteristics
The Python execution model

Module 2: Leveraging Python Built-in Types

In this module, you learn about:

Manipulating string and numeric literals
Declaring and initialising variables
Performing arithmetic calculations
Making decisions and performing iterations
Formatting and slicing strings
Aggregating related data
Accessing positional information in lists Representing ordered data with tuples
Efficiently handling data collection with iterators

Module 3: Organising and Structuring Code

In this module, you learn about:

Defining positional, keyword, and default arguments
Implementing variable-length argument lists
Iterating with generator functions
Grouping code into modules
Referencing functions from modules by qualification
Accessing the Standard Library

Module 4: Implementing Classes and Objects

In this module, you learn about:

Declaring and modifying objects
Encapsulating attributes and methods in classes
Initialising objects with constructors
Accessing and modifying attributes with methods
Reusing functionality through inheritance
Extending methods from base classes
Overriding methods for dynamic behavior
Tracing the scope in the namespace

Module 5: Manipulating the File System

In this module, you learn about:

Reading and writing text and files
Accessing structured and unstructured data
Increasing programme robustness through handling exceptions
Maintaining programme control with error handlers
Detecting errors and raising exceptions

Module 6: Interfacing with Relational Databases

In this module, you learn about:

Creating a SQL database connection
Instantiating cursors to access a database
Executing SQL statements within a Python program
Retrieving desired data sets
Updating the database with action statements
Processing requests with Python controllers

Unlimited Access Python Premium Blended Training

Premium Blended Training Benefits

By choosing the blended training option, you get annual access to eBooks to further explore topics covered in the instructor-led course. You can also join Introduction to Python Training events.

On-Demand Video Courses (Premium Only)

Python Programming for Everyone
Tips, Tricks, and Techniques for Python Application Development
Exploratory Data Analysis with Pandas and Python 3.x
Python GUI Programming - Building a Desktop Application with Tkinter and SQLite
Real-World Projects in Python 3.x
Using MySQL Databases with Python

eBooks (Premium Only)

Mastering Object-Oriented Python
Learn Python Programming
Modern Python Cookbook - Second Edition

Need Help Finding The Right Training Solution?

Our training advisors are here for you.

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 programme 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.

No. While the content selected does map to the objectives of the instructor-led course, it does not include a recorded version of the instructor-led class. The objectives have been re-imagined to be presented in digital, self-guided formats.

Yes! Each book and video begins with a step by step guide for you to set up a coding environment on your personal computer. The course content is full of examples and practical advice, followed up by the chance to embed your learning through real world tasks. All example code is available to download, copy and use - giving you the chance to work and practice as you read and watch.

Once payment is received, you will receive an email from Learning Tree with all the links and information you need to get started.

Once payment is received, you will receive details for your Unlimited Access Training Bundle via email. At that time, you may call or email our customer service team for assistance in enroling in the event date of your choice.