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Since February 2023
Instructor since February 2023
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
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
<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.
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
after every single lesson, you can:
* Think different
* Find Algorithm
* Memorise all of the keywords
* finish coding tasks easier
1st lesson is backed
by our Good-fit Instructor Guarantee
by our Good-fit Instructor Guarantee