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Introduction to Python Programming (algorithms, structures, abstractions)
<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.
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.
Location
Online via webcam
At teacher's location: France
At teacher's location: Netherlands
At student's location: Around Nice, France
At student's location: Around Rome, Italy
At student's location: Around Tbilisi, Georgia
At teacher's location: London, UK
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General info
Age: | Preschool children (4-6 years old) Children (7-12 years old) Teenagers (13-17 years old) Adults (18-64 years old) Seniors (65+ years old) |
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Student level: | Beginner Intermediate Advanced |
Duration: | 30 minutes 45 minutes 60 minutes |
The class is taught in: | English, Georgian |
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 Georgiafundamentals of Leadership at Boston University
Computer Science in Technical University of Tallinn, Estonia
Experience / Qualifications
Software Engineer in AltairTeacher at Smart Academy
Organizer of Google Developers Groups in Tbilisi, Georgia
Invited speaker
Lecturer Assistant in CS at Boston University
Software Tester
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
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
Ask a question
Send a message explaining your needs and Maiko 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?"
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from $21.46At teacher's location
from $21.46Online via webcam
from $21.46At student's home
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 February 2023
- Phone number verified
- Google connected
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from $21.46At teacher's location
from $21.46Online via webcam
from $21.46At student's home
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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