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This teacher has a fast response time and rate, demonstrating a high quality of service to their students.
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Since January 2024
Instructor since January 2024
Cambridge Graduate & Google Developer - Programming Tutoring 1 on 1
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From 68.89 € /h
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I am a Cambridge graduate in CS, with over 10 medals and national distinctions for competitive programming.

For over 5 years, I have helped hundreds of students discover how easy and beautiful Computer Science is:

- Assisted students in improving from a C to an A* grade.
- Helped motivated students qualify for the National Informatics Olympiad.
- Guided many achieve their target grades in A-Levels, even attaining the perfect score.
- Prepared for IB/IA, A-Levels, GCSE, University Entry, or equivalent.
- Assisted with specific projects at a professional level, including interview preparation.

All my success in Computer Science is due to my teachers, who knew how to inspire my passion and turn any concept into an easy-to-understand story. That's why I decided to help others further to elucidate the secrets of Computer Science and to smile with relief in the exam hall when they notice that they know how to solve all the subjects perfectly.

It's amazing how quickly a student can progress when the material is explained to them in their understanding.

I have a highly flexible schedule and can adapt to accommodate your needs.
If you have any questions about my teaching method, availability, or pricing, please don't hesitate to reach out.
I am here to assist you and provide the support you need :).
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At student's location :
  • Around London, United Kingdom
  • Around Dublin, Ireland
  • Around Birmingham, United Kingdom
  • Around Manchester, United Kingdom
  • Around Glasgow, United Kingdom
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Online from United Kingdom
About Me
Since I was 10, I've been into programming, leading to a Computer Science degree from Cambridge. I worked at Google for a bit, but left to follow my real passion: teaching others about tech. Now, that's what I do – sharing my knowledge and helping people learn.
Education
Cambridge University with a Bachelor's in Computer Science with focus on Software Development.
Planning to pursue a Master's and PHD in Artificial Intelligence.
Experience / Qualifications
Gold medal at Informatics Stars 2020, Online
Gold medal at Prosoft NT 2020, Online
Silver medal at Descendants of Moisil 2020, Dublin
Silver medal at the National Informatics Olympiad 2019, London
Silver medal at Prosoft NT 2019, Berlin
Silver medal at Descendants of Moisil 2019, Bucharest
Bronze medal at the National Informatics Olympiad 2018, Sofia
Silver medal at Informatics Stars 2018, Oslo
Silver medal at Moisil 2018, Cluj
Age
Children (7-12 years old)
Teenagers (13-17 years old)
Adults (18-64 years old)
Seniors (65+ years old)
Student level
Beginner
Intermediate
Advanced
Duration
60 minutes
The class is taught in
English
Availability of a typical week
(GMT -05:00)
New York
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Online via webcam
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At student's home
Mon
Tue
Wed
Thu
Fri
Sat
Sun
00-04
04-08
08-12
12-16
16-20
20-24
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Maiko
<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.
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Francisco
Hi!

Welcome to my class on Python programming! As a PhD student in Geophysics my main tool is my computer. In order to do science one needs to know how to program. I use Python everyday in order to analyze data, run numerical models, plot results and much more. So, let's embark on the journey of learning Python and explore its diverse capabilities together!

For beginners:
I have designed it for absolute beginners to become at ease with the language within 5 sessions of 1h. Message me to know the 5 classes curriculum and I will be more than happy to share it with you!

For intermediate users:
If you already know the basics of Python but want to go more in-depth on certain packages this is the right place! Message me and we can discuss what your needs are! I am a professional user of Numpy, Pandas, Matplotlib, os, scipy and many more packages!

Are you not sure Python is the right language for you? Check the following out and let me know if you have any questions!

First of all, what is Python? According to its creator, Guido van Rossum, Python is a:

“high-level programming language, and its core design philosophy is all about code readability and a syntax which allows programmers to express concepts in a few lines of code.”

Learning Python is a rewarding experience for several reasons. Firstly, Python is inherently beautiful as a programming language, offering a natural and expressive way to translate your thoughts into code. Its readability and simplicity make coding an enjoyable and intuitive process.

The Python language finds applications across various domains, including data science, web development, machine learning and AI. For example, platforms like Quora, Pinterest, and Spotify leverage Python for their backend web development!

This versatility makes Python a powerful tool for those eager to delve into different aspects of programming. If this caught your curiosity message me and I'll make you a Python hero! Welcome to the community!
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Neel
Dive into the world of Python programming and machine learning in this hands-on introductory class! This course is designed for beginners and focuses on the foundational concepts of Python, along with the essentials of machine learning.

Course Highlights:

Python Fundamentals: Learn the basics of Python programming, including data types, control structures, functions, and libraries. Through practical exercises, you’ll gain confidence in writing and executing Python code.

Data Manipulation and Analysis: Explore popular libraries like NumPy and pandas to handle and analyze data efficiently. Understand how to clean, process, and visualize data, preparing it for machine learning tasks.

Introduction to Machine Learning: Discover the key concepts of machine learning, including supervised and unsupervised learning, algorithms, and model evaluation. Gain insights into how machines learn from data.

Hands-On Projects: Apply your knowledge through real-world projects, where you'll build simple machine learning models using libraries such as scikit-learn. You'll learn to make predictions and evaluate model performance.

Collaboration and Support: Work alongside fellow students in a collaborative environment, with ample opportunities for group discussions and individual support from the instructor.

Who Should Enroll: This class is ideal for anyone interested in starting a career in data science or machine learning, or for those looking to enhance their programming skills with practical applications in Python.

Join us and embark on an exciting journey into the realm of programming and machine learning!
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Contact Gabriel
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Similar classes
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Maiko
<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.
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Francisco
Hi!

Welcome to my class on Python programming! As a PhD student in Geophysics my main tool is my computer. In order to do science one needs to know how to program. I use Python everyday in order to analyze data, run numerical models, plot results and much more. So, let's embark on the journey of learning Python and explore its diverse capabilities together!

For beginners:
I have designed it for absolute beginners to become at ease with the language within 5 sessions of 1h. Message me to know the 5 classes curriculum and I will be more than happy to share it with you!

For intermediate users:
If you already know the basics of Python but want to go more in-depth on certain packages this is the right place! Message me and we can discuss what your needs are! I am a professional user of Numpy, Pandas, Matplotlib, os, scipy and many more packages!

Are you not sure Python is the right language for you? Check the following out and let me know if you have any questions!

First of all, what is Python? According to its creator, Guido van Rossum, Python is a:

“high-level programming language, and its core design philosophy is all about code readability and a syntax which allows programmers to express concepts in a few lines of code.”

Learning Python is a rewarding experience for several reasons. Firstly, Python is inherently beautiful as a programming language, offering a natural and expressive way to translate your thoughts into code. Its readability and simplicity make coding an enjoyable and intuitive process.

The Python language finds applications across various domains, including data science, web development, machine learning and AI. For example, platforms like Quora, Pinterest, and Spotify leverage Python for their backend web development!

This versatility makes Python a powerful tool for those eager to delve into different aspects of programming. If this caught your curiosity message me and I'll make you a Python hero! Welcome to the community!
verified badge
Neel
Dive into the world of Python programming and machine learning in this hands-on introductory class! This course is designed for beginners and focuses on the foundational concepts of Python, along with the essentials of machine learning.

Course Highlights:

Python Fundamentals: Learn the basics of Python programming, including data types, control structures, functions, and libraries. Through practical exercises, you’ll gain confidence in writing and executing Python code.

Data Manipulation and Analysis: Explore popular libraries like NumPy and pandas to handle and analyze data efficiently. Understand how to clean, process, and visualize data, preparing it for machine learning tasks.

Introduction to Machine Learning: Discover the key concepts of machine learning, including supervised and unsupervised learning, algorithms, and model evaluation. Gain insights into how machines learn from data.

Hands-On Projects: Apply your knowledge through real-world projects, where you'll build simple machine learning models using libraries such as scikit-learn. You'll learn to make predictions and evaluate model performance.

Collaboration and Support: Work alongside fellow students in a collaborative environment, with ample opportunities for group discussions and individual support from the instructor.

Who Should Enroll: This class is ideal for anyone interested in starting a career in data science or machine learning, or for those looking to enhance their programming skills with practical applications in Python.

Join us and embark on an exciting journey into the realm of programming and machine learning!
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Contact Gabriel