Get in Touch

Course Outline

Introduction to Python Programming

  • Executing Python scripts
  • Leveraging development environments, including IDEs and command-line utilities
  • Utilizing Python and iPython shells alongside iPython Notebook

Data Types and Operations

  • Integers and floating-point numbers – potentially redundant
  • String and byte handling – potentially redundant
  • Tuples and lists
  • Dictionaries and ordered dictionaries
  • Sets and frozen sets

Code Organization and Distribution

  • Building modules and packages
  • Publishing code to repositories

Object-Oriented and Functional Paradigms

  • Developing and applying functions and classes
  • Enhancing functions and classes through decorators
  • Concepts of meta-classes

Exception Management and Testing

  • Catching and raising exceptions
  • Authoring and running test suites, including doc tests and unit tests
  • Evaluating code coverage via testing

File and Directory Management

  • Accessing diverse file formats and understanding handling protocols
  • Performing CRUD operations on files, including text, CSV, and Microsoft Word and Excel documents
  • Extracting specific data from text using Regular Expressions
  • Managing directories through creation, deletion, listing, and file search

Requirements

No prior knowledge is required.

 14 Hours

Number of participants


Price per participant

Open Training Courses require 5+ participants.

Testimonials (7)

everything was perfect

Florin Vrincianu
Course - Python Programming Fundamentals

The fact that the trainer could guide us and correct if needed and explained what was wrongly done

Roxana - Emilia Zamfir
Course - Python Programming Fundamentals

Felt like a rounded introduction to python, giving me the confidence to immediately tackle some basic level progs before attempting something more substantial

Graham - Quantum Detectors Ltd
Course - Python Programming Fundamentals

I liked that I could ask questions and Abhi did answer all of them providing excellent examples.

Bozena - New College Durham
Course - Python Programming Fundamentals

Everything was OK. Trainer very well prepared and I really enjoyed the course.

Gelep Dragos
Course - Python Programming Fundamentals

The course was straight forward, intuitive, easy to follow, the exercises covered the subjects discussed beforehand.

Alexandru - BRD
Course - Python Programming Fundamentals

The knowledgeability.

Dan Nohai - BRD
Course - Python Programming Fundamentals

Upcoming Courses

Python Programming Fundamentals

2026-10-28 09:30
14 hours
Cluj-Napoca, Pitești Street
495 EUR (Online)
895 EUR (Classroom)

Python Programming Fundamentals

2026-11-11 09:30
14 hours
Timisoara, Iosif Bulbuca Boulevard
495 EUR (Online)
895 EUR (Classroom)

Python Programming Fundamentals

2026-11-25 09:30
14 hours
Constanta, Mircea cel Batran Street
495 EUR (Online)
895 EUR (Classroom)

Python Programming Fundamentals

2026-12-09 09:30
14 hours
Iasi, City Center
495 EUR (Online)
895 EUR (Classroom)

Related Courses

Advanced Python: Best Practices and Design Patterns

 28 Hours
This instructor-led live training in Romania delves into advanced Python techniques, engineering best practices, and design patterns. It enables developers to build maintainable, testable, and high-performance applications by utilizing modern tooling, typing, and concurrency models for production-grade systems.
Read more...

Agentic AI Engineering with Python — Build Autonomous Agents

 21 Hours
This instructor-led live training in Romania provides practical Python techniques for creating autonomous agents, covering agent loops, tool integration, memory management, orchestration, and safety controls. It is ideal for ML engineers seeking to deploy robust, production-ready agents.
Read more...

Introduction to Data Science and AI using Python

 35 Hours
Spanning 35 hours, this Romania training focuses on applying Data Science and AI principles using Python. Participants will gain proficiency in CRISP-DM workflows, machine learning with TensorFlow, NLP, and Big Data processing with Spark. It is particularly well-suited for beginners looking to acquire industry-ready analytics skills and achieve Python data science certification applicable to real-world business scenarios.
Read more...

Artificial Intelligence with Python (Intermediate Level)

 35 Hours
This intermediate program in Romania empowers Python developers to architect and deploy AI solutions using advanced libraries. Participants will gain proficiency in implementing supervised, unsupervised, and reinforcement learning models, optimizing neural networks, and seamlessly integrating AI into practical business workflows.
Read more...

Applied AI from Scratch in Python

 28 Hours
This hands-on Romania training enables programmers to construct AI models from the ground up using Python. Participants will gain mastery over supervised learning, neural networks, and unsupervised techniques by utilizing scikit-learn and Apache Spark. The program emphasizes practical Jupyter exercises designed for real-world problem solving.
Read more...

AWS Cloud9 and Python: A Practical Guide

 14 Hours

This instructor-led, live training in Romania (online or onsite) is aimed at intermediate-level Python developers who wish to enhance their Python development experience using AWS Cloud9.

By the end of this training, participants will be able to:

  • Set up and configure AWS Cloud9 for Python development.
  • Understand the AWS Cloud9 IDE interface and features.
  • Write, debug, and deploy Python applications in AWS Cloud9.
  • Collaborate with other developers using the AWS Cloud9 platform.
  • Integrate AWS Cloud9 with other AWS services for advanced deployments.
Read more...

Bespoke Applied Artificial Intelligence and LLM Engineering with Python

35 Hours
This practical training on Romania provides data engineers with hands-on AI and LLM engineering expertise using Python. Through guided exercises and real-world case studies, participants investigate prompt design, model integration, and production-ready workflows to construct end-to-end deployable AI solutions.
Read more...

Data Analysis with Python, Pandas and Numpy

 14 Hours

This instructor-led, live training in Romania (online or onsite) is aimed at intermediate-level Python developers and data analysts who wish to enhance their skills in data analysis and manipulation using Pandas and NumPy.

By the end of this training, participants will be able to:

  • Set up a development environment that includes Python, Pandas, and NumPy.
  • Create a data analysis application using Pandas and NumPy.
  • Perform advanced data wrangling, sorting, and filtering operations.
  • Conduct aggregate operations and analyze time series data.
  • Visualize data using Matplotlib and other visualization libraries.
  • Debug and optimize their data analysis code.
Read more...

FARM (FastAPI, React, and MongoDB) Full Stack Development

 14 Hours

This instructor-led live training, offered online or onsite, targets developers who want to use the FARM stack (FastAPI, React, and MongoDB) to build dynamic, high-performance, and scalable web applications.

By the end of this training, participants will be able to:

  • Set up a development environment that integrates FastAPI, React, and MongoDB.
  • Understand the key concepts, features, and benefits of the FARM stack.
  • Learn how to build REST APIs with FastAPI.
  • Learn how to design interactive applications with React.
  • Develop, test, and deploy applications (front end and back end) using the FARM stack.
Read more...

Developing APIs with Python and FastAPI

 14 Hours

This instructor-led, live training in Romania (online or onsite) is aimed at developers who wish to use FastAPI with Python to build, test, and deploy RESTful APIs easier and faster.

By the end of this training, participants will be able to:

  • Set up the necessary development environment to develop APIs with Python and FastAPI.
  • Create APIs quicker and easier using the FastAPI library.
  • Learn how to create data models and schemas based on Pydantic and OpenAPI.
  • Connect APIs to a database using SQLAlchemy.
  • Implement security and authentication in APIs using the FastAPI tools.
  • Build container images and deploy web APIs to a cloud server.
Read more...

Fraud Detection with Python and TensorFlow

 14 Hours

This instructor-led live training, offered Romania (online or on-site), targets data scientists interested in using TensorFlow for fraud data analysis.

By the end of this training, participants will be able to:

  • Create a fraud detection model in Python and TensorFlow.
  • Build linear regressions and linear regression models to predict fraud.
  • Develop an end-to-end AI application for analyzing fraud data.
Read more...

Machine Learning with Python – 4 Days

 28 Hours
Build hands-on expertise in applying Machine Learning techniques using Python during this Romania workshop. The curriculum explores core algorithms such as regression, classification, and clustering, guiding you through modeling decisions, output interpretation, and result validation with real-world case studies.
Read more...

Python for Network Engineers

 14 Hours

This instructor-led, live training in Romania (online or onsite) is designed for network engineers who want to maintain, manage, and design computer networks using Python.

By the end of this training, participants will be able to:

  • Optimize and leverage Paramiko, Netmiko, Napalm, Telnet, and pyntc for network automation with Python.
  • Master multi-threading and multiprocessing in network automation.
  • Use GNS3 and Python for network programming.
Read more...

Python for Business Analysis and Automation

 21 Hours

This instructor-led, live training in Romania (online or onsite) is aimed at business professionals and data analysts with intermediate Python skills who wish to apply Python to automate workflows, analyze business data, and generate dynamic Excel-based reports.

Read more...

Python Advanced

 21 Hours

This live, instructor-led training (available online or at your facility) is designed for advanced-level users.

Course Format

  • Engaging lectures and interactive discussions.
  • Ample exercises and hands-on practice.
  • Practical implementation within a live lab environment.

Customization Options

  • For customized training tailored to this course, please get in touch with us to coordinate the details.
Read more...

Related Categories

Python
Python