Python 3 Programming Training in Saudi Arabia

  • Delivery Method: Online Instructor-Led / Classroom Based / Onsite
  • Participation Model: Public Training / Private / In-House Training
  • Duration: 4 Days
  • Level: Fundamentals
  • Price: From €5,300 +TAX
  • Upcoming Date:
  • UK & Türkiye Based Global Training Provider
  • Build and run real Python 3 applications from the ground up.
  • Designed for programmers adopting Python 3 or migrating existing Python 2 applications.
  • Hands-on labs are delivered in practical coding environments throughout the course.


Python 3 Programming is a technical course designed for developers who want to learn the Python 3 programming language through a combination of instructor-led teaching and practical coding exercises.

The hands-on activities are delivered using MS Windows, although the Python concepts and programming techniques covered throughout the course are equally applicable to other platforms, including Linux.

Participants begin with the fundamentals of Python and progress through data types, flow control, string processing, collections, regular expressions, file handling, functions, modules, packages, and Object-Oriented Programming. Later sections cover exception handling, processes and threads, multiprocessing, and the Python Standard Library.

The course also helps developers moving from Python 2 to Python 3 understand important differences between the two versions.


Prerequisites

No previous Python experience is required. However, participants should already be familiar with at least one programming language.

Experience with another scripting language, such as Perl or PHP, is beneficial. Previous exposure to Object-Oriented Programming will also be useful when progressing into the more advanced sections of the course.

Who Should Attend

This course is suitable for:

  • Programmers beginning new development projects with Python 3
  • Developers migrating existing Python 2 applications to Python 3

What You Will Learn

By the end of the course, participants should be able to:

  • Use the Python interactive interpreter to write and execute Python 3 programs.
  • Understand the key language elements of Python 3.
  • Make effective use of Python's extensive collection of libraries and modules.
  • Recognize important differences between Python 2 and Python 3.
  • Identify simple and complex variable types and select suitable types for different requirements.
  • Work with Python 3 operators and built-in functions.
  • Apply procedural control flow in Python 3.
  • Perform file input and output, including working with persistent data objects.
  • Organize code effectively using functions and modules.
  • Apply Object-Oriented Programming techniques in Python 3.
  • Build more robust applications using error trapping and reporting.
  • Run and control external programs from Python.
  • Use multiprocessing to take advantage of multi-core processors.

Training Outline

Chapter 1 – Introduction to Python 3

  • What is Python?
  • What is Python 3?
  • Why use Python?
  • Performance downsides
  • The Python community
  • Running Python interactively
  • Python scripts
  • Python help
  • Anatomy of a Python script
  • Modules
  • Functions and built-ins

Chapter 2 – Fundamental Variables

  • Python as an Object-Oriented language
  • Python variables
  • Variable names
  • Type-specific methods
  • Operators and types
  • Augmented assignments
  • Python types
  • Switching between types
  • Introduction to Python lists
  • Introduction to Python tuples
  • Introduction to Python dictionaries

Chapter 3 – Flow Control

  • Python conditionals
  • Indentation
  • Understanding truth
  • Boolean and logical operators
  • Chained comparisons
  • Sequence and collection tests
  • Object types
  • Introduction to Exception Handling
  • While loops
  • Loop control statements
  • For loops
  • enumerate
  • Counting for loops
  • Zipping multiple lists
  • Conditional expressions
  • Unconditional flow control

Chapter 4 – String Handling

  • Python 3 strings
  • The print function
  • Creating and processing strings
  • String concatenation
  • Quotes
  • String methods
  • String tests
  • String formatting
  • Additional formatting techniques
  • String slicing
  • split and join methods

Chapter 5 – Collections

  • Review of Python types
  • Useful tuple operations
  • Python lists
  • Tuple and list slicing
  • Extended iterable unpacking
  • Adding items to lists
  • Removing items by position
  • Removing list items by content
  • Sorting
  • List methods
  • Sets
  • Making effective use of sets
  • Set operators
  • Python dictionaries
  • Dictionary values
  • Removing dictionary items
  • Dictionary methods
  • View objects

Chapter 6 – Regular Expressions

  • Python regular expressions
  • Extended RE meta-characters
  • Regular expression objects
  • Regular expression substitution
  • Regular expression splitting
  • Matching alternatives
  • Anchors
  • Class shortcuts
  • Flags
  • Repeat quantifiers
  • Quantifiers
  • Parentheses groups
  • Back-references
  • Global matches

Chapter 7 – Data Storage and File Handling

  • File objects
  • Reading files into Python
  • File reading techniques
  • Filter programs with the fileinput module
  • Binary mode
  • Writing files from Python
  • Standard streams
  • Additional file handling techniques
  • Random access
  • Python pickle persistence
  • Pickle protocols
  • Building shelves
  • Compression
  • Database interface overview
  • Example: SQLite with Python

Chapter 8 – Functions

  • Python functions
  • Function parameters
  • Variadic functions
  • Default parameter values
  • Named / keyword parameters
  • Enforcing named parameters
  • Returning objects from functions
  • Variables within functions
  • Nested functions
  • Variables in nested functions
  • Function documentation
  • Lambda functions
  • Lambda as a sorting key
  • Lambda with re.sub

Chapter 9 – Advanced Collections

  • Advanced list operations with filter
  • List comprehensions
  • Set and dictionary comprehensions
  • Lazy lists
  • Generators
  • Generator objects and next
  • Coroutines
  • Using list comprehensions as generators
  • Collection copying challenges
  • Slice-based copying
  • Copying with deepcopy

Chapter 10 – Modules and Packages

  • Understanding modules and packages
  • Multiple source files
  • How Python locates modules
  • Importing modules
  • Importing names
  • Using directories as packages
  • Writing modules
  • Module documentation
  • Testing modules
  • Python debugger
  • Python profiler
  • Distributing libraries with distutils

Chapter 11 – Introduction to Classes and OOP

  • Classes and OOP
  • Object-Oriented terminology
  • Object-Oriented Programming
  • Working with objects
  • Defining classes
  • Defining methods
  • Constructing objects
  • Special methods
  • Operator overload special methods
  • Properties
  • Properties and decorators
  • Class methods
  • Inheritance
  • Inheritance terminology

Chapter 12 – Error Handling and Exceptions

  • Writing to stderr
  • Controlling warnings
  • Exception handling
  • Exception syntax
  • Multiple exceptions
  • Exception arguments
  • The finally block
  • Order of execution
  • The Python exception hierarchy
  • Common mistakes
  • The raise statement
  • Creating and raising custom exceptions
  • assert

Chapter 13 – Multitasking

  • Introduction to processes
  • Creating processes from Python
  • Legacy interface examples
  • Waiting for child processes
  • The subprocess module
  • The subprocess.Popen class
  • Running a basic process
  • Capturing output
  • Passing data through a pipe
  • Processes and threads
  • Basic threading in Python
  • Synchronization objects in threading
  • Challenges associated with threads
  • The multiprocessing module
  • Queue objects

Chapter 14 – The Python Standard Library

  • The Python Standard Library
  • Example: converting Python 2 scripts to Python 3
  • Pretty Printer
  • Operating System interfaces: os and related tools
  • System-specific attributes: sys
  • Signal handling with signal
  • Converting a signal into an exception
  • Configuration files
  • The configparser module
  • datetime and related modules
  • The platform module
  • External function interface: ctypes
  • The socket module
  • __future__
  • Other Standard Library modules

Why Choose Us

Experience Python 3 Programming in Saudi Arabia through Bilginç IT Academy's live and interactive virtual classroom environment. Join a Public course as an individual delegate or arrange a dedicated Private / In-house online training program exclusively for your organization.

  • Delivery Method: Online Instructor-Led
  • Participation Model: Public / Private (In-house)
  • Live and Interactive Training: Connect with your instructor in real time and actively participate through discussions, Q&A sessions, practical exercises, and group activities.
  • Flexible Participation: Join the training from your home, office, or any location with a suitable internet connection.
  • Expert Trainer Network: Learn from experienced trainers with strong industry backgrounds and practical field expertise.
  • Over 30 Years of Training Expertise: Benefit from Bilginç IT Academy's professional training experience since 1995.
  • Worldwide Access: Join our live virtual classrooms from Saudi Arabia or anywhere else in the world, or arrange a dedicated online training program for your organization.

Experience Python 3 Programming through face-to-face Classroom Based training in Saudi Arabia. Training can be delivered as a Public course open to individual delegates or as a dedicated Private / In-house class for your organization.

  • Delivery Method: Classroom Based
  • Participation Model: Public / Private (In-house)
  • Face-to-Face Learning: Interact directly with your instructor and fellow delegates in an engaging classroom environment.
  • Experienced Trainers: Learn from specialists with extensive industry experience and practical real-world knowledge.
  • Professional Training Environment: Attend training in comfortable, well-equipped classrooms designed to support effective learning.
  • Practical Learning: Depending on the course, reinforce your knowledge through hands-on exercises, scenarios, case studies, and instructor-led activities.

Arrange Python 3 Programming in Saudi Arabia as a dedicated Onsite training program for your organization. Bilginç IT Academy trainers can deliver the training at your office or another location of your choice, with the program planned around your team's requirements and business objectives.

  • Delivery Method: Onsite
  • Participation Model: Private (In-house)
  • Training at Your Preferred Location: Organize the training at your company's office or another location selected by your organization.
  • Tailored Course Content: Adapt the training program to your projects, team structure, existing skill levels, and specific business requirements.
  • Team-Focused Learning: Develop your team around a shared knowledge base while strengthening internal collaboration and knowledge transfer.
  • Flexible Scheduling: Plan the training dates, location, and program according to your organization's operational requirements.
  • Worldwide Onsite Delivery: Arrange the training in Saudi Arabia or at another preferred location worldwide. Bilginç IT Academy trainers can travel to your selected location to deliver the dedicated training program.



Contact us for more detail about our trainings and for all other enquiries!

Python 3 Programming Training Course in Saudi Arabia Schedule

Join our public courses in our Saudi Arabia facilities. Private class trainings will be organized at the location of your preference, according to your schedule.

We can organize this training at your preferred date and location.
26 Rabiʻ II 1448 (4 Days)
Riyadh, Jeddah, Dammam, Neom
€5,300 +TAX
01 Jumada I 1448 (4 Days)
Riyadh, Jeddah, Dammam, Neom
€5,300 +TAX
02 Jumada I 1448 (4 Days)
Riyadh, Jeddah, Dammam, Neom
€5,300 +TAX
04 Jumada I 1448 (4 Days)
Riyadh, Jeddah, Dammam, Neom
€5,300 +TAX
21 Jumada I 1448 (4 Days)
Riyadh, Jeddah, Dammam, Neom
€5,300 +TAX
29 Jumada I 1448 (4 Days)
Riyadh, Jeddah, Dammam, Neom
€5,300 +TAX
14 Jumada II 1448 (4 Days)
Riyadh, Jeddah, Dammam, Neom
€5,300 +TAX
09 Shaʻban 1448 (4 Days)
Riyadh, Jeddah, Dammam, Neom
€5,300 +TAX

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Saudi Arabia is currently undergoing one of the most significant digital transformations in modern history under the umbrella of Vision 2030. Riyadh, Jeddah, and the revolutionary smart-city project NEOM are at the forefront of this technological leap, focusing on non-oil economic growth through digital innovation. The Kingdom is investing billions into cloud infrastructure, AI research, and cybersecurity to protect its national interests and support a burgeoning private tech sector. Our educational frameworks in Saudi Arabia are aligned with this national transformation, providing the workforce with essential skills to manage mega-scale digital projects. We empower Saudi professionals to take the lead in building a tech-driven future that honors the Kingdom's heritage while embracing the possibilities of the Fourth Industrial Revolution.

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