Fundamentals of programming Language Python (beginners)

From 19 € /h

Python is the most powerful programming language. It is the best and most suitable language to start coding and find your field in Data Engineering, AI, WEB, Robotics, etc. My classes are individual to every single person, I can "match" their individual principles and teach whatever they want. This is how it works... Besides, I can mentor them, give advice and try to handle some issues during the process.
after every single lesson, you can:
* Think different
* Find Algorithm
* Memorise all of the keywords
* finish coding tasks easier

Location

Use Ctrl + wheel to zoom!

At student's location :

Around Toulouse, France

Around Nice, France

At teacher's location :

France

Netherlands

Matera, Province of Matera, Italy

Online from France

About Me

I study computer engineering in my country, Georgia. Being a young engineer is such an amazing decision that I have ever made. Besides challenges, difficulties, and gender stereotypes near me, I chose the right way which is my source of pride. All I have is a belief inside me that strengthens me. Many things can let you down, but my experiences taught me if you fell yesterday, stand up today and keep going because ALL WE HAVE IS NOW. I love teaching and sharing my knowledge with other people. Sometimes, I think helping people is my vocation and life mission. I always try to exceed expectations and be much bigger or better than expected. It allows you to create high standards and become the best version of yourself. I have found myself in programming that typically turned my life upside down. I gained skills and an ambition to change the world/my country someday for a better future.
* I have 4+ years of experience in coding. Especially in Python, C++, Javascript and Dart
* I was working in several companies as a software engineer, web developer, and Backend developer.
* I also work in an academy, where I teach Python and Algorithms
* I am the winner of several international/ national competitions in Math/Calculus. differential Equations
* I have gained communications skills in several camps around the world, which helps me to make better contact with my students

There are tons of information on the Internet, where you can nearly lose yourself. Here I am to help you and give you the best directions!!!

Education

Computer and Electrical Engineering At the Agricultural University Of Georgia

fundamentals of Leadership at Boston University

Computer Science in Technical University of Tallinn, Estonia

Experience / Qualifications

Software Engineer in Altair

Teacher at Smart Academy

Organizer of Google Developers Groups in Tbilisi, Georgia

Invited speaker

Lecturer Assistant in CS at Boston University

Software Tester

Age

Children (7-12 years old)

Teenagers (13-17 years old)

Adults (18-64 years old)

Seniors (65+ years old)

Student level

Beginner

Intermediate

Duration

60 minutes

The class is taught in

English

Georgian

Skills

Computer programming

Python

Algorithms

Availability of a typical week

(GMT -05:00)

New York

At teacher's location and 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

Fundamentals of Calculus (Integrals, Series, Derivatives, limits etc..)

24 € /h

Calculus is for those who study higher math levels at the University of high school. In this course, you will get deep knowledge of math basics and reach the upper level of Calculus.
I can help with your homework, and preparing for midterms (exams) onetime of for a long time period.
in Calculus I you will learn:
* Limits as a definition
* How to easily calculate the limit of the function with different methods
* Derivatives
* improper Integrals
* Series (convergence or divergence test)
* Taylor series
*Fourier Series
* Double Integrals

if you want something outside of this list, text me a message and I will send you a response as soon as possible <3

Introduction to Python Programming (algorithms, structures, abstractions)

20 € /h

<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.

Kelly

4.75

(4)

Python is a Programming Language widely used with huge capabilities on building projects of many different kinds but the most important advantage is that it is easy to learn and it can be a good start for someone to embrace Computer Science and improve their logical thinking.

Tatiana

4.75

(4)

What you'll learn
Use python programming on your computer with help of Jupyter Notebook.
Depends on your specialisation, we can learn python with data analysis exercises (as an intro to Machine Learning) or by accessing real financial market data (stocks, bonds, cryptocurrencies).
You need to practice and apply the same concept to your examples then only you know what you had learned from this
This is completely good for beginners, You can easily understand the concepts and examples
****
Requirements
No knowledge required in python
Basic computer knowledge

Description
How to Python In your machine

Basic introduction Python IDLE

Python Math Operations

Data Structures

Introduction to List,Tuples,Dictionaries

Introduction to Strings

What is Mutable?

What is Immutable?

Introduction to Loops

Condition If statements

While loop

What is the use of directory

Basic Introduction to Pandas, Numpy

Emna

4.75

(4)

You are a highschool student?
You have a baccalaureate?
You need help with Python (Algorithmic Programming).
I am here to teach you !

I am certified from Python Institute (PCAP: Certified Associate in Python Programming) and I work with Python for more than 5 years.
I am also a teacher and my students love the way I teach with (simple, clear and always funny)

Connor

4.75

(4)

Elevate your programming prowess with expert Python tutoring. With a decade of programming under my belt, I am well-equipped to assist with both academic assignments and practical, real-world projects. Whether you’re grappling with classwork or aiming to apply Python in a professional context, I offer targeted guidance.

- Academic Support: Get help with your school assignments to excel in your coursework.
- Real-World Application: Transition from theory to practice by working on projects that mirror professional tasks.
- Personalized Sessions: Enjoy a learning plan that adapts to your educational and professional objectives.
- All Experience Levels: Whether you’re just starting out or looking to deepen your expertise, all backgrounds are welcome.

Advance your skills with a tutor who knows how to navigate both the academic and professional landscapes. Contact me to start mastering Python today!

Tony

4.75

(4)

Teaching is a passion for me, which is why I dedicate myself to giving private lessons. Whether you need to start from scratch, need a refresher, or want online or in-person courses, I'm here to help. If you are looking for lessons for your children, I can also provide a program tailored to their level and specific needs. I am committed to providing you with a fully personalized learning experience tailored to meet your needs.

Kheiriddine

4.75

(4)

I offer you a complete mathematics course covering several key areas:

1. Function Study: Mastery of functions, derivatives, and integrals for an in-depth understanding of their behavior.

2. Probability: Analysis of probabilities, calculations of conditional probabilities, probability laws, and statistical applications.

3. Trigonometry: Understanding trigonometric relationships, identities, equations, and their geometric applications.

4. Divisibility and Congruences: Skills in modular arithmetic, divisibility theorems, and solving Diophantine equations.

5. Numerical Analysis: Approach to numerical methods for solving complex equations, interpolation, and numerical approximation.

6. Optimization: Optimization techniques, finding extrema, and methods for solving linear and nonlinear optimization problems.

I had the opportunity to put these skills into practice by teaching mathematics to students with a scientific baccalaureate profile for several years. This experience allowed me to develop adapted teaching methods, to strengthen my ability to explain complex concepts in a clear and understandable way, and to help my students achieve their academic goals.

Good-fit Instructor Guarantee

Contact Maiko