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Introduction to Python Training
Level: Foundation
Rating:
4.57/5 Based on 600 Reviews
In this Introduction to Python training course, you will learn the programming skills to develop applications using Python's language features, standard library modules, and third-party software packages. Gain the skills to achieve rapid development cycles, faster time-to-market, and lower cost of maintenance. Python is a powerful and flexible object-oriented scripting language that is designed for ease of use and enhanced productivity. Learn to leverage these powerful features in this 3-day hands-on Python course.
Benefit from this introduction to Python training in one of three formats - live, instructor-led, on-demand, or a blended on-demand/instructor-led version.
Key Features of this Introduction to Python Training:
- Choose from blended on-demand and instructor-led learning options
- Exclusive LinkedIn group membership for peer and SME community support
- Practical, hands-on experience
You Will Learn How To:
- Rapidly develop feature-rich applications from Python's built-in statements, functions, and collection types
- Structure code with classes, modules, and packages that leverage OO features
- Create multiple data accessors to manage various data storage formats
- Access additional features with library modules and packages
Choose the Introduction to Python Training Solution That Best Fits Your Needs
BLENDED LEARNING
On Demand & Live Review Session
Unlimited annual access to:
- 6 on-demand video courses
- 3 eBooks
- 1-day instructor-led review sessions
LIVE, INSTRUCTOR-LED
In Class & Live, Online Training
- Learn Python programming
- 3-day instructor-led training course
- One-on-one after-course instructor coaching
- After-course computing sandbox
- End-of-course exam included
- Pay later by invoice -OR- at the time of checkout by credit card
PREMIUM TRAINING
Unlimited Access to Everything
Unlimited annual access to:
- Unlimited annual access to:
- 6 on-demand video courses
- 3 eBooks
- 1-day instructor-led review sessions
- 3-day instructor-led training course
- One-on-one after-course instructor coaching
TRAINING AT YOUR SITE
Team Training
- Bring this or any training to your organisation
- Full - scale program development
- Delivered when, where, and how you want it
- Blended learning models
- Tailored content
- Expert team coaching
Customize Your Team Training Experience
CONTACT USSave More on Training with Learning Tree Training Vouchers!
Our flexible, easy-to-redeem training vouchers are available to any employee within your organisation. For details, please call 0800 282 353 or chat live.
On Demand & Live Review Session
Introduction to Python Blended Training Information
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Python Programming Blended Training Description
The eBooks and on-demand courses provided as with this offering are a great way to explore your interest in the topics covered in the instructor-led course. At any time during your annual access to this offering, you may attend one of our 1-day review sessions focused specifically on Python for Data Analytics — Course 4509, Introduction to Python for Data Analytics.
On-Demand Training Outline
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On-Demand Video Courses
- Python for Beginners
- Mastering Python
- Architectural Patterns and Best Practises with Python
- Mastering Python Data Analysis with Pandas
- Tkinter GUI Application Development Projects
- Python Projects
-
eBooks
- Learning Python
- Modern Python Cookbook
- MySQL for Python
Introduction to Python Training FAQs
-
What background do I need for this introduction to Python training?
- Experience with another procedural or object-oriented programming language, such as C, C++, Java, VB .NET, or Perl
- Familiarity with concepts, such as variables, loops, and branches with some experience using a text editor to edit program code
-
Does this include any practical, hands-on learning?
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 practise as you read and watch.
-
Is the on-demand content the same as the 3-day instructor class?
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.
How will I access my course materials if I choose this method?
Once payment is received, you will receive an email from Learning Tree with all the links and information you need to get started.
-
How can I sign up for a review session for this introduction to Python training?
Once you are enrolled in the program, specific details and dates will be sent to you.
One Day Instructor-Led Review
You'll be able to register for a Training Review Session at any time after you've placed your order.
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30 Mar
(1 Day)
9:00 AM - 4:30 PM BST London / Online (AnyWare) -
6 Jul
(1 Day)
9:00 AM - 4:30 PM BST London / Online (AnyWare)
In Class & Live, Online Training
Note: This course runs for 3 Days
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15 - 17 Jan 9:00 AM - 4:30 PM GMT London / Online (AnyWare) Reserve Your Seat
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7 - 9 Apr 9:00 AM - 4:30 PM BST London / Online (AnyWare) Reserve Your Seat
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12 - 14 Aug 9:00 AM - 4:30 PM BST London / Online (AnyWare) Reserve Your Seat
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4 - 6 Nov 9:00 AM - 4:30 PM GMT London / Online (AnyWare) Reserve Your Seat
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18 - 20 Dec 2:00 PM - 9:30 PM GMT Alexandria, VA / Online (AnyWare) Reserve Your Seat
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5 - 7 Feb 2:00 PM - 9:30 PM GMT Herndon, VA / Online (AnyWare) Reserve Your Seat
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13 - 15 May 2:00 PM - 9:30 PM BST Herndon, VA / Online (AnyWare) Reserve Your Seat
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27 - 29 May 2:00 PM - 9:30 PM BST Alexandria, VA / Online (AnyWare) Reserve Your Seat
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8 - 10 Jul 2:00 PM - 9:30 PM BST New York / Online (AnyWare) Reserve Your Seat
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16 - 18 Dec 2:00 PM - 9:30 PM GMT Alexandria, VA / Online (AnyWare) Reserve Your Seat
Guaranteed to Run
When you see the "Guaranteed to Run" icon next to a course event, you can rest assured that your course event — date, time, location — will run. Guaranteed.Introduction to Python Instructor-Led Course Information
-
Python Introduction Course Description
This introduction to Python course includes 17 hours of Instructor-Led Training (ILT) or Virtual Instructor-Led Training (VILT) presented by a real-world Python programming expert instructor. -
Requirements
- Experience with another procedural or object-oriented programming language, such as C, C++, Java, VB .NET, or Perl
- Familiarity with concepts, such as variables, loops, and branches with some experience using a text editor to edit program code
-
Industry Credits & Certification
This course offers you the opportunity to earn the following industry credits and certifications
- Certified Specialist in Python Programming (Learning Tree certification)
-
After-Course Computing Sandbox
You'll be given remote access to a preconfigured virtual machine for you to redo your hands-on exercises, develop/test new code, and experiment with the same software used in your course.
Introduction to Python Instructor-Led Course Outline
-
Introduction to Python
- Python language characteristics
- The Python execution model
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Leveraging Python Built-in Types
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 collections with iterators
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Organising and Structuring Code
Defining and calling functions
- Positional, keyword and default arguments
- Implementing variable-length argument lists
- Iterating with generator functions
Grouping code into modules
- Importing and packages
- Referencing functions from modules by qualification
- Accessing the Standard Library
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Implementing Classes and Objects
Declaring and modifying objects
- Encapsulating attributes and methods in classes
- Initialising objects with constructors
- Accessing and modifying attributes with methods
Inheritance and polymorphism
- Reusing functionality through inheritance
- Extending methods from base classes
- Overriding methods for dynamic behaviour
- Tracing the scope in the namespace
-
Manipulating the File System
Managing files
- Reading and writing text and files
- Accessing structured and unstructured data
Increasing program robustness through handling exceptions
- Maintaining program control with error handlers
- Detecting errors and raising exceptions
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Interfacing with Relational Databases
Establishing communication
- 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
Introduction to Python Training FAQs
-
What background do I need for this introduction to Python training?
Experience with another procedural or object-oriented programming language, such as C, C++, Java, VB .NET, or Perl, as well as familiarity with concepts, such as variables, loops, and branches with some experience using a text editor to edit program code.
-
What does a Python developer do?
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.
-
How can I become a Python developer?
An outline of the content you will receive can be seen above. You will also get access to any new on-demand content that becomes available during your annual enrolment period.
How do I receive my PMI PDU credits?
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.
Unlimited Access to Everything
Note: This course runs for 3 Days
-
15 - 17 Jan 9:00 AM - 4:30 PM GMT London / Online (AnyWare)
-
7 - 9 Apr 9:00 AM - 4:30 PM BST London / Online (AnyWare)
-
12 - 14 Aug 9:00 AM - 4:30 PM BST London / Online (AnyWare)
-
4 - 6 Nov 9:00 AM - 4:30 PM GMT London / Online (AnyWare)
-
18 - 20 Dec 2:00 PM - 9:30 PM GMT Alexandria, VA / Online (AnyWare)
-
5 - 7 Feb 2:00 PM - 9:30 PM GMT Herndon, VA / Online (AnyWare)
-
13 - 15 May 2:00 PM - 9:30 PM BST Herndon, VA / Online (AnyWare)
-
27 - 29 May 2:00 PM - 9:30 PM BST Alexandria, VA / Online (AnyWare)
-
8 - 10 Jul 2:00 PM - 9:30 PM BST New York / Online (AnyWare)
-
16 - 18 Dec 2:00 PM - 9:30 PM GMT Alexandria, VA / Online (AnyWare)
Guaranteed to Run
When you see the "Guaranteed to Run" icon next to a course event, you can rest assured that your course event — date, time, location — will run. Guaranteed.Introduction to Python Unlimited Access Training Information
-
Python Programming Blended Training Description
The eBooks and on-demand courses provided as with this offering are a great way to explore your interest in the topics covered in the instructor-led course. At any time during your annual access to this offering, you may attend one of our 1-day review sessions focused specifically on Python for Data Analytics — Course 4509, Introduction to Python for Data Analytics.
-
Python Introduction Course Description
This introduction to Python course includes 17 hours of Instructor-Led Training (ILT) or Virtual Instructor-Led Training (VILT) presented by a real-world Python programming expert instructor. Course includes after-course computing sandbox and end-of-course exam -
Industry Credits & Certification
This course offers you the opportunity to earn the following industry credits and certifications
- Certified Specialist in Python Programming (Learning Tree certification)
-
After-Course Computing Sandbox
You'll be given remote access to a preconfigured virtual machine for you to redo your hands-on exercises, develop/test new code, and experiment with the same software used in your course.
On-Demand Training Outline
-
On-Demand Video Courses
- Python for Beginners
- Mastering Python
- Architectural Patterns and Best Practises with Python
- Mastering Python Data Analysis with Pandas
- Tkinter GUI Application Development Projects
- Python Projects
-
eBooks
- Learning Python
- Modern Python Cookbook
- MySQL for Python
Introduction to Python Programming Training FAQs
-
What background do I need for this introduction to Python training?
- Experience with another procedural or object-oriented programming language, such as C, C++, Java, VB .NET, or Perl
- Familiarity with concepts, such as variables, loops, and branches with some experience using a text editor to edit program code
-
Does this include any practical, hands-on learning?
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 practise as you read and watch.
-
Is the on-demand content the same as the 3-day instructor class?
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.
How will I access my course materials if I choose this method?
Once payment is received, you will receive an email from Learning Tree with all the links and information you need to get started.
-
How can I sign up for a review session for this introduction to Python training?
Once you are enrolled in the program, specific details and dates will be sent to you.
One Day Instructor-Led Review
You'll be able to register for a Training Review Session at any time after you've placed your order.
-
30 Mar
(1 Day)
9:00 AM - 4:30 PM BST London / Online (AnyWare) -
6 Jul
(1 Day)
9:00 AM - 4:30 PM BST London / Online (AnyWare)
Team Training
Related Python Training
Advanced Python: Best Practices and Design PatternsPython Fundamentals
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