from24.70EUR/ h
Computer Programming with Python 3. Basic + Advance levels. From basics to industry develepment and Statistics/ Data Analysis with Python.
What am I teaching?
Python 3 programming with libraries: Pillow, PyQT, Pygame, SQLite/MongoDB, Flask + SQLAlchemy, NumPy, Pandas, Sklearn
HTML and CSS basics due to the Web-programming topic (Flask)
SQl/NoSQL (MySQL and PostgreSQL and MongoDB) due to the SQLite/MongoDB library
What does it mean?
Python is a powerful tool for basic algorithmic tasks, projects with images/sounds/..., web development, data science and so on. I would be glad to learn you in a practical way to use these tools to solve ample different tasks.
Information about me:
- I am 3rd-year student in ITMO University (Software engineering and programming)
- I'm teaching Python for more than 2 years
- My students succeeded with their Python exams (100% passed)
- I have 5 years experience with Python programming language and get several certificates: Python Basics and Projects (excellent mark) from Yandex Lyceum, Python in Industry programming (excellent mark) from Yandex Lycuem, Advanced Python (Stepik online cource)
- English level (B2-C1), Swedish (A2-B1), Russian (native)
Teaching features:
- All topics I explain clearly with ample comparisons to real life
- After every piece of information I'm checking student's understanding (asking similar questions to discuss)
- All lessons are split into 2 vital parts: discussing new topics and practicing coding
- Basics projects after each module
Three ways of learning:
- Basic track:
Module 1 - Basics: installing/if/else/for/while
Module 2 - Data Structures: lists/sets/dicts
Module 3 - Functions: def
Module 4 - Libraries: math/os/pillow/...
Module 5 - OOP: classes/methods
- Advanced track:
Module 1 - Revicing: data structures and OOP
Module 2 - Advanced topics: itherators/try/except
Module 3 - PyQT
Module 4 - Web-programming
Module 5 - API and Applied Projects
- Custom track:
Possible topics: All in Basic and Advance tracks, Numpy, Pandas, Sklearn - Data Analysis basics
What is the format of teaching:
Online
1. Basic knowledge of math.
2. Laptop or computer with Windows/Linux or Mac (lessons are online).
3. Motivation to learn to program.
Python 3 programming with libraries: Pillow, PyQT, Pygame, SQLite/MongoDB, Flask + SQLAlchemy, NumPy, Pandas, Sklearn
HTML and CSS basics due to the Web-programming topic (Flask)
SQl/NoSQL (MySQL and PostgreSQL and MongoDB) due to the SQLite/MongoDB library
What does it mean?
Python is a powerful tool for basic algorithmic tasks, projects with images/sounds/..., web development, data science and so on. I would be glad to learn you in a practical way to use these tools to solve ample different tasks.
Information about me:
- I am 3rd-year student in ITMO University (Software engineering and programming)
- I'm teaching Python for more than 2 years
- My students succeeded with their Python exams (100% passed)
- I have 5 years experience with Python programming language and get several certificates: Python Basics and Projects (excellent mark) from Yandex Lyceum, Python in Industry programming (excellent mark) from Yandex Lycuem, Advanced Python (Stepik online cource)
- English level (B2-C1), Swedish (A2-B1), Russian (native)
Teaching features:
- All topics I explain clearly with ample comparisons to real life
- After every piece of information I'm checking student's understanding (asking similar questions to discuss)
- All lessons are split into 2 vital parts: discussing new topics and practicing coding
- Basics projects after each module
Three ways of learning:
- Basic track:
Module 1 - Basics: installing/if/else/for/while
Module 2 - Data Structures: lists/sets/dicts
Module 3 - Functions: def
Module 4 - Libraries: math/os/pillow/...
Module 5 - OOP: classes/methods
- Advanced track:
Module 1 - Revicing: data structures and OOP
Module 2 - Advanced topics: itherators/try/except
Module 3 - PyQT
Module 4 - Web-programming
Module 5 - API and Applied Projects
- Custom track:
Possible topics: All in Basic and Advance tracks, Numpy, Pandas, Sklearn - Data Analysis basics
What is the format of teaching:
Online
Extra information
My prerequisites:1. Basic knowledge of math.
2. Laptop or computer with Windows/Linux or Mac (lessons are online).
3. Motivation to learn to program.
Location
Online via webcam
General info
Age: | Teenagers (13-17 years old) Adults (18-64 years old) |
---|---|
Student level: | Beginner Intermediate Advanced |
Duration: | 30 minutes 45 minutes 60 minutes 90 minutes |
The class is taught in: | English, Russian |
About Me
I'm tutor of PythonI'm teaching for 2 years and now I want to teach Python 3 in English (my level in Upper-intermediate/Advance)
Ask a question
Send a message explaining your needs and Nikita will reply soon:
The more detail, the better.
Ex. "Hi, when are you available to meet for a lesson?"
Ex. "Hi, when are you available to meet for a lesson?"
Availability of a typical week
(GMT -04:00) New York
Mon | Tue | Wed | Thu | Fri | Sat | Sun | |
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0 | Monday at 0:00 | Tuesday at 0:00 | Wednesday at 0:00 | Thursday at 0:00 | Friday at 0:00 | Saturday at 0:00 | Sunday at 0:00 |
1 | Monday at 1:00 | Tuesday at 1:00 | Wednesday at 1:00 | Thursday at 1:00 | Friday at 1:00 | Saturday at 1:00 | Sunday at 1:00 |
2 | Monday at 2:00 | Tuesday at 2:00 | Wednesday at 2:00 | Thursday at 2:00 | Friday at 2:00 | Saturday at 2:00 | Sunday at 2:00 |
3 | Monday at 3:00 | Tuesday at 3:00 | Wednesday at 3:00 | Thursday at 3:00 | Friday at 3:00 | Saturday at 3:00 | Sunday at 3:00 |
4 | Monday at 4:00 | Tuesday at 4:00 | Wednesday at 4:00 | Thursday at 4:00 | Friday at 4:00 | Saturday at 4:00 | Sunday at 4:00 |
5 | Monday at 5:00 | Tuesday at 5:00 | Wednesday at 5:00 | Thursday at 5:00 | Friday at 5:00 | Saturday at 5:00 | Sunday at 5:00 |
6 | Monday at 6:00 | Tuesday at 6:00 | Wednesday at 6:00 | Thursday at 6:00 | Friday at 6:00 | Saturday at 6:00 | Sunday at 6:00 |
7 | Monday at 7:00 | Tuesday at 7:00 | Wednesday at 7:00 | Thursday at 7:00 | Friday at 7:00 | Saturday at 7:00 | Sunday at 7:00 |
8 | Monday at 8:00 | Tuesday at 8:00 | Wednesday at 8:00 | Thursday at 8:00 | Friday at 8:00 | Saturday at 8:00 | Sunday at 8:00 |
9 | Monday at 9:00 | Tuesday at 9:00 | Wednesday at 9:00 | Thursday at 9:00 | Friday at 9:00 | Saturday at 9:00 | Sunday at 9:00 |
10 | Monday at 10:00 | Tuesday at 10:00 | Wednesday at 10:00 | Thursday at 10:00 | Friday at 10:00 | Saturday at 10:00 | Sunday at 10:00 |
11 | Monday at 11:00 | Tuesday at 11:00 | Wednesday at 11:00 | Thursday at 11:00 | Friday at 11:00 | Saturday at 11:00 | Sunday at 11:00 |
12 | Monday at 12:00 | Tuesday at 12:00 | Wednesday at 12:00 | Thursday at 12:00 | Friday at 12:00 | Saturday at 12:00 | Sunday at 12:00 |
13 | Monday at 13:00 | Tuesday at 13:00 | Wednesday at 13:00 | Thursday at 13:00 | Friday at 13:00 | Saturday at 13:00 | Sunday at 13:00 |
14 | Monday at 14:00 | Tuesday at 14:00 | Wednesday at 14:00 | Thursday at 14:00 | Friday at 14:00 | Saturday at 14:00 | Sunday at 14:00 |
15 | Monday at 15:00 | Tuesday at 15:00 | Wednesday at 15:00 | Thursday at 15:00 | Friday at 15:00 | Saturday at 15:00 | Sunday at 15:00 |
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from 24.70€Online via webcam
100% Satisfaction Guarantee
Good-fit Instructor Guarantee
If you are not satisfied after your first lesson, Apprentus will find you another instructor or will refund your first lesson.
Online reputation
- Instructor since May 2022
- Google connected
Availability of a typical week
(GMT -04:00) New York
Mon | Tue | Wed | Thu | Fri | Sat | Sun | |
---|---|---|---|---|---|---|---|
0 | Monday at 0:00 | Tuesday at 0:00 | Wednesday at 0:00 | Thursday at 0:00 | Friday at 0:00 | Saturday at 0:00 | Sunday at 0:00 |
1 | Monday at 1:00 | Tuesday at 1:00 | Wednesday at 1:00 | Thursday at 1:00 | Friday at 1:00 | Saturday at 1:00 | Sunday at 1:00 |
2 | Monday at 2:00 | Tuesday at 2:00 | Wednesday at 2:00 | Thursday at 2:00 | Friday at 2:00 | Saturday at 2:00 | Sunday at 2:00 |
3 | Monday at 3:00 | Tuesday at 3:00 | Wednesday at 3:00 | Thursday at 3:00 | Friday at 3:00 | Saturday at 3:00 | Sunday at 3:00 |
4 | Monday at 4:00 | Tuesday at 4:00 | Wednesday at 4:00 | Thursday at 4:00 | Friday at 4:00 | Saturday at 4:00 | Sunday at 4:00 |
5 | Monday at 5:00 | Tuesday at 5:00 | Wednesday at 5:00 | Thursday at 5:00 | Friday at 5:00 | Saturday at 5:00 | Sunday at 5:00 |
6 | Monday at 6:00 | Tuesday at 6:00 | Wednesday at 6:00 | Thursday at 6:00 | Friday at 6:00 | Saturday at 6:00 | Sunday at 6:00 |
7 | Monday at 7:00 | Tuesday at 7:00 | Wednesday at 7:00 | Thursday at 7:00 | Friday at 7:00 | Saturday at 7:00 | Sunday at 7:00 |
8 | Monday at 8:00 | Tuesday at 8:00 | Wednesday at 8:00 | Thursday at 8:00 | Friday at 8:00 | Saturday at 8:00 | Sunday at 8:00 |
9 | Monday at 9:00 | Tuesday at 9:00 | Wednesday at 9:00 | Thursday at 9:00 | Friday at 9:00 | Saturday at 9:00 | Sunday at 9:00 |
10 | Monday at 10:00 | Tuesday at 10:00 | Wednesday at 10:00 | Thursday at 10:00 | Friday at 10:00 | Saturday at 10:00 | Sunday at 10:00 |
11 | Monday at 11:00 | Tuesday at 11:00 | Wednesday at 11:00 | Thursday at 11:00 | Friday at 11:00 | Saturday at 11:00 | Sunday at 11:00 |
12 | Monday at 12:00 | Tuesday at 12:00 | Wednesday at 12:00 | Thursday at 12:00 | Friday at 12:00 | Saturday at 12:00 | Sunday at 12:00 |
13 | Monday at 13:00 | Tuesday at 13:00 | Wednesday at 13:00 | Thursday at 13:00 | Friday at 13:00 | Saturday at 13:00 | Sunday at 13:00 |
14 | Monday at 14:00 | Tuesday at 14:00 | Wednesday at 14:00 | Thursday at 14:00 | Friday at 14:00 | Saturday at 14:00 | Sunday at 14:00 |
15 | Monday at 15:00 | Tuesday at 15:00 | Wednesday at 15:00 | Thursday at 15:00 | Friday at 15:00 | Saturday at 15:00 | Sunday at 15:00 |
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from 24.70€Online via webcam
Good-fit Instructor Guarantee
If you are not satisfied after your first lesson, Apprentus will find you another instructor or will refund your first lesson.
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