Introduction to Python for beginner programmers and beginner python programmers - Chelsea - Private lessons

Introduction to Python for beginner programmers and beginner python programmers

From 52 € /h

This class serves as an introduction to basic concepts in programming delivered primarily in Python. It is designed to initiate or progress your skills in computer programming, in a way that can be suited for complete beginners to coding in general, or who have some experience in Python or another language.

Based on these classes, you will be able to:
Demonstrate theoretical and practical knowledge of basic programming concepts such as variables, loops, I/O operations.
Demonstrate the fundamental features of the Python programming language.
Develop skills and apply your knowledge to undertake practical exercises.

Extra information

You need a laptop, internet access, and access to Google Drive.

Location

|

Use Ctrl + wheel to zoom!

At student's location :

Around Chelsea, United Kingdom

Online from United Kingdom

About Me

I am currently a Postdoctoral Research Associate with a passion for teaching programming and Robotics. In my research I primarily work with social robots, and algorithms that can teach them to behave in a way we can better relate to.

I have been a supervisor, teaching assistant, and module designer on a university level for a variety of programming courses, primarily using Python as a language.

In 2018-19 I supervised students on both Bachelor and Master’s level based on Aalborg University's Problem Based Learning model. I taught the Artificial Intelligence Programming (6th semester) module where lectures related to neural networks, and held lectures within the Advanced Data Structures and Software Engineering (8th semester) module, and TA-ed for programming and electronics courses.

In 2021-2023 I created the optional online module titled Getting started with Python for the Department of Informatics and taught programming as a TA in mandatory modules such as Introduction to Robotics (2nd and 3rd Semester) and Data Mining (8th Semester).

I have hands-on knowledge and teaching experience for which I received a Teacher of the Year Award in 2019 during my year of supervision at Aalborg University, and have been the runner-up for the Outstanding Teaching Assistant Award in Informatics in 2022 at King's College London.

Education

PhD in Robotics - King's College London, 2023
MSc in Medialogy - Aalborg University, 2018
BSc in Medialogy - Aalborg University, 2016
High school graduation, Hungary, 2013

Experience / Qualifications

Module Designer for Informatics, Contract - King's College London, 2023
Teaching assistant, Part-time - King's College London, 2021-2023
Research assistant, Full-time - Aalborg University, 2018-2019

Age

Teenagers (13-17 years old)

Adults (18-64 years old)

Student level

Beginner

Intermediate

Duration

60 minutes

90 minutes

120 minutes

The class is taught in

English

Hungarian

Skills

Computer programming

Software engineering

Availability of a typical week

(GMT -05:00)

New York

Online via webcam

At student's home

Mon

Tue

Wed

Thu

Fri

Sat

Sun

00-04

04-08

08-12

12-16

16-20

20-24

As an online and physical tutor, i am knowledgeable and experienced in your subject matter. I possess excellent communication skills, and i am patient and understanding when working with students. I have a passion for teaching and are committed to helping your students succeed. I adept at using technology to facilitate online learning, and you are able to create engaging and interactive lessons that cater to each student's learning style. In a physical setting, I create a welcoming and comfortable learning environment that allows students to feel at ease and encourages them to ask questions and participate in discussions. Overall, I am a skilled and effective tutor who is dedicated to helping students achieve their academic goals.

<Course Description>
This course is designed for beginners who are interested in learning programming with Python. It covers the basic concepts of programming such as data types, variables, control structures, functions, and file I/O. Participants will learn how to write Python programs, debug code, and design algorithms using Python. The course also introduces the basics of object-oriented programming and the Python libraries used for data manipulation and visualization.

<Prerequisites>
No prior programming experience is required. However, familiarity with basic computer concepts such as files, folders, and operating systems is recommended.

<Learning Objectives>
By the end of the course, participants will be able to:

* Understand the fundamentals of programming and how it applies to Python
* Write Python code for simple applications and automate repetitive tasks
* Use control structures such as loops and conditional statements
* Create functions to encapsulate code and enable code reuse
* Work with Python libraries such as NumPy, Pandas, and Matplotlib
* Use object-oriented programming principles to design more complex programs
* Debug code and use error-handling techniques

<Course Outline>
The course is divided into modules that build on each other to provide a comprehensive introduction to Python programming. Each module consists of lectures, demonstrations, hands-on exercises, and quizzes to reinforce learning. Here is an outline of the course:

Module 1: Introduction to Python
History and Overview of Python
Setting up Python environment
Writing and running basic Python programs
Variables, data types, and operators

Module 2: Control Structures
Conditional statements and Boolean logic
Loops and iteration
User input and output

Module 3: Functions
Writing and calling functions
Scope and namespaces
Return values and parameters
Lambda functions

Module 4: File Input and Output
Reading and writing files
File modes and buffering
Handling exceptions and errors

Module 5: Object-Oriented Programming
Classes and objects
Inheritance and polymorphism
Data encapsulation and abstraction
Special methods and decorators

Module 6: Python Libraries
Introduction to NumPy, Pandas, and Matplotlib
Data manipulation and analysis with Pandas
Data visualization with Matplotlib

Conclusion
This beginner's programming class in Python provides a solid foundation for anyone interested in learning programming and using Python for data analysis, automation, or software development. With hands-on exercises, interactive quizzes, and a comprehensive final project, participants will learn how to write Python code that is efficient, maintainable, and elegant.

Are you ready to take your Python skills to the next level and unlock the power of Object-Oriented Programming (OOP)? Welcome to our comprehensive course designed to transform you into a Python OOP expert!

Object-Oriented Programming is a fundamental paradigm in modern software development, and Python's versatility makes it an ideal language for mastering OOP concepts. In this dynamic course, we'll guide you through every aspect of OOP in Python, from the basics to advanced techniques, empowering you to build robust, scalable, and maintainable software solutions.

What will you learn?

Foundations of OOP : Understand the core principles of OOP, including encapsulation, inheritance, and polymorphism, and how they are implemented in Python.

Class Creation and Management: Dive deep into creating classes, defining attributes, and designing methods to encapsulate functionality within your Python applications.

Inheritance and Polymorphism: Explore the power of inheritance to create hierarchical relationships between classes and leverage polymorphism to write more flexible and reusable code.

Advanced OOP Techniques: Learn about abstract classes, interfaces, and composition to design elegant and modular software architectures.

Design Patterns: Discover common design patterns and how to implement them in Python to solve complex software design problems effectively.

Testing and Debugging: Master techniques for testing and debugging object-oriented Python code to ensure its correctness and robustness.

Real-World Applications: Apply your newfound knowledge to real-world projects, including building GUI applications, web development, and more.

Why choose this course?

Comprehensive Curriculum: Our course covers everything you need to know about OOP in Python, from the basics to advanced topics, ensuring you have a solid understanding of the subject.

Hands-On Learning: Gain practical experience through hands-on coding exercises and projects that reinforce your understanding of OOP concepts.

Expert Guidance: Learn from experienced Python developers who will provide clear explanations, practical examples, and personalized feedback to help you succeed.

Career Advancement: Mastering OOP with Python opens doors to a wide range of career opportunities in software development, data science, machine learning, and more.

Lifetime Access: Enjoy lifetime access to course materials, including updates and new content, ensuring you stay current with the latest advancements in Python and OOP.

Whether you're a Python novice looking to expand your programming skills or an experienced developer aiming to level up your OOP expertise, this course is your ultimate guide to mastering Object-Oriented Programming with Python. Enroll now and embark on a journey to becoming a proficient Python OOP developer!

Software is rapidly becoming even more abundant in our society, almost everything we had to do physically at an office a decade ago can now be done online.

It is paramount you equip your children with this skill of the future by allowing them learn the basic programming languages, who knows they might found the next Google?

In this class, we will learn about full-stack development.
The following topics will cover:-
Introduction to Javascript in HTML
Using JavaScript Libraries
Deep knowledge of Backend language (PHP, Csharp .NET )
API Interactions
Version Control System (GIT)
How to Build and Maintain a Website
Final Project
Build an Interactive Resume!

As an online and physical tutor, i am knowledgeable and experienced in your subject matter. I possess excellent communication skills, and i am patient and understanding when working with students. I have a passion for teaching and are committed to helping your students succeed. I adept at using technology to facilitate online learning, and you are able to create engaging and interactive lessons that cater to each student's learning style. In a physical setting, I create a welcoming and comfortable learning environment that allows students to feel at ease and encourages them to ask questions and participate in discussions. Overall, I am a skilled and effective tutor who is dedicated to helping students achieve their academic goals.

<Course Description>
This course is designed for beginners who are interested in learning programming with Python. It covers the basic concepts of programming such as data types, variables, control structures, functions, and file I/O. Participants will learn how to write Python programs, debug code, and design algorithms using Python. The course also introduces the basics of object-oriented programming and the Python libraries used for data manipulation and visualization.

<Prerequisites>
No prior programming experience is required. However, familiarity with basic computer concepts such as files, folders, and operating systems is recommended.

<Learning Objectives>
By the end of the course, participants will be able to:

* Understand the fundamentals of programming and how it applies to Python
* Write Python code for simple applications and automate repetitive tasks
* Use control structures such as loops and conditional statements
* Create functions to encapsulate code and enable code reuse
* Work with Python libraries such as NumPy, Pandas, and Matplotlib
* Use object-oriented programming principles to design more complex programs
* Debug code and use error-handling techniques

<Course Outline>
The course is divided into modules that build on each other to provide a comprehensive introduction to Python programming. Each module consists of lectures, demonstrations, hands-on exercises, and quizzes to reinforce learning. Here is an outline of the course:

Module 1: Introduction to Python
History and Overview of Python
Setting up Python environment
Writing and running basic Python programs
Variables, data types, and operators

Module 2: Control Structures
Conditional statements and Boolean logic
Loops and iteration
User input and output

Module 3: Functions
Writing and calling functions
Scope and namespaces
Return values and parameters
Lambda functions

Module 4: File Input and Output
Reading and writing files
File modes and buffering
Handling exceptions and errors

Module 5: Object-Oriented Programming
Classes and objects
Inheritance and polymorphism
Data encapsulation and abstraction
Special methods and decorators

Module 6: Python Libraries
Introduction to NumPy, Pandas, and Matplotlib
Data manipulation and analysis with Pandas
Data visualization with Matplotlib

Conclusion
This beginner's programming class in Python provides a solid foundation for anyone interested in learning programming and using Python for data analysis, automation, or software development. With hands-on exercises, interactive quizzes, and a comprehensive final project, participants will learn how to write Python code that is efficient, maintainable, and elegant.

Are you ready to take your Python skills to the next level and unlock the power of Object-Oriented Programming (OOP)? Welcome to our comprehensive course designed to transform you into a Python OOP expert!

Object-Oriented Programming is a fundamental paradigm in modern software development, and Python's versatility makes it an ideal language for mastering OOP concepts. In this dynamic course, we'll guide you through every aspect of OOP in Python, from the basics to advanced techniques, empowering you to build robust, scalable, and maintainable software solutions.

What will you learn?

Foundations of OOP : Understand the core principles of OOP, including encapsulation, inheritance, and polymorphism, and how they are implemented in Python.

Class Creation and Management: Dive deep into creating classes, defining attributes, and designing methods to encapsulate functionality within your Python applications.

Inheritance and Polymorphism: Explore the power of inheritance to create hierarchical relationships between classes and leverage polymorphism to write more flexible and reusable code.

Advanced OOP Techniques: Learn about abstract classes, interfaces, and composition to design elegant and modular software architectures.

Design Patterns: Discover common design patterns and how to implement them in Python to solve complex software design problems effectively.

Testing and Debugging: Master techniques for testing and debugging object-oriented Python code to ensure its correctness and robustness.

Real-World Applications: Apply your newfound knowledge to real-world projects, including building GUI applications, web development, and more.

Why choose this course?

Comprehensive Curriculum: Our course covers everything you need to know about OOP in Python, from the basics to advanced topics, ensuring you have a solid understanding of the subject.

Hands-On Learning: Gain practical experience through hands-on coding exercises and projects that reinforce your understanding of OOP concepts.

Expert Guidance: Learn from experienced Python developers who will provide clear explanations, practical examples, and personalized feedback to help you succeed.

Career Advancement: Mastering OOP with Python opens doors to a wide range of career opportunities in software development, data science, machine learning, and more.

Lifetime Access: Enjoy lifetime access to course materials, including updates and new content, ensuring you stay current with the latest advancements in Python and OOP.

Whether you're a Python novice looking to expand your programming skills or an experienced developer aiming to level up your OOP expertise, this course is your ultimate guide to mastering Object-Oriented Programming with Python. Enroll now and embark on a journey to becoming a proficient Python OOP developer!

Software is rapidly becoming even more abundant in our society, almost everything we had to do physically at an office a decade ago can now be done online.

It is paramount you equip your children with this skill of the future by allowing them learn the basic programming languages, who knows they might found the next Google?

In this class, we will learn about full-stack development.
The following topics will cover:-
Introduction to Javascript in HTML
Using JavaScript Libraries
Deep knowledge of Backend language (PHP, Csharp .NET )
API Interactions
Version Control System (GIT)
How to Build and Maintain a Website
Final Project
Build an Interactive Resume!

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