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Since October 2022
Instructor since October 2022
Introduction to Python Programming with hands-on exercises
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From 40.38 € /h
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Learn Python Programming from scratch with hands-on exercises. There is no pre-requisite for this course. You only need to give your time and dedication. In this course, you'll also create some projects to get used to the language. This course is open to all age groups.
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At student's location :
  • Around London Borough of Harrow, United Kingdom
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Online from United Kingdom
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
120 minutes
The class is taught in
English
Hindi
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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Max
Computers are very powerful machines, that do incredible work. But how do they work? How can it tell the difference between a 1 and a 7? How can it tell the difference between reading a Word document and a PowerPoint?
If you understand programmatic theory, then you can write in any programming language.

This class is designed to unravel the mysteries surrounding these machines. Ranging from programming theory (what is a pointer?) to actual computational challenges (what is the correct data structure to use based on the Big O requirements?)

No specific language is covered in this course, it will be purely theoretical knowledge and 'pseudocode'.

The topics covered are listed below

Programmatic Theory:
Literals, Operators, Keywords
Variables, Data Types, Generics
Memory Usage, Pointers, Arrays
Branching, Iteration, Iterators
Functions, Control Flow, Scope,
Closures, Enumerations, OOP
Classes and Instances, Immutability, Inheritance
Polymorphism, Exception Handling, Composition
Asynchronous Programming, Multithreading, Multiprocessing

Internal Workings:
Binary, Hexadecimal, Number Systems
Extrinsic vs Intrinsic Data, Coupling, MVC Architecture
CPU, FED Cycle, Spatial Locality
Caching, Performance, Memory Types
Storing Complex Data (Text), Storing Complex Data (Sound), Storing Complex Data (Images)

Data Structures and Algorithms:
Performance, Big O, Measuring Performance
Searching, Sorting, Decomposition
Data Structures, Arrays, Linked Lists
Single Buffers (Pools), Double Buffers, Ring Buffers
Stacks, Queues, Priority Queues
Heaps, Hash Tables, Graphs
Trees, Binary Trees, Vectors
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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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Pardeep
Embark on a journey to become a proficient C# programmer with our comprehensive course tailored for beginners and those looking to enhance their coding skills. Whether you're aspiring to develop software applications, web services, or games, this course is your key to mastering the fundamentals and beyond.

What You'll Learn:

Introduction to C#:

Understand the syntax and structure of the C# language.
Master fundamental concepts like variables, data types, and control structures.
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Dive deep into the principles of OOP for building modular and scalable code.
Create and manipulate objects, classes, and inheritance.
Exception Handling and Debugging:

Learn effective strategies for handling errors and exceptions.
Debug and optimize your code for robust performance.
Working with Databases:

Connect your C# applications to databases for data storage and retrieval.
Utilize Entity Framework for seamless database interaction.
Graphical User Interface (GUI) Development:

Design intuitive and responsive user interfaces.
Implement event handling and user interactions.
Web Development with ASP.NET:

Explore web development using C# with ASP.NET.
Build dynamic and interactive web applications.
Version Control with Git:

Learn essential version control techniques using Git.
Collaborate with other developers and manage project versions efficiently.
Why Choose Our Course:

Practical Projects: Apply your skills through hands-on coding projects.
Expert Instructors: Learn from experienced C# developers and industry professionals.
Peer Collaboration: Engage in collaborative coding exercises and projects for a real-world experience.
Career Guidance: Receive insights into C# career paths and industry best practices.

Who Is This Course For:

Aspiring Software Developers
Web Developers
Students and Enthusiasts
Professionals looking to upskill in C#
Unlock the world of C# programming and elevate your coding prowess. Enroll now to start your journey towards mastering the essentials of C# programming!
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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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Contact Rijul
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Similar classes
arrow icon previousarrow icon next
verified badge
Max
Computers are very powerful machines, that do incredible work. But how do they work? How can it tell the difference between a 1 and a 7? How can it tell the difference between reading a Word document and a PowerPoint?
If you understand programmatic theory, then you can write in any programming language.

This class is designed to unravel the mysteries surrounding these machines. Ranging from programming theory (what is a pointer?) to actual computational challenges (what is the correct data structure to use based on the Big O requirements?)

No specific language is covered in this course, it will be purely theoretical knowledge and 'pseudocode'.

The topics covered are listed below

Programmatic Theory:
Literals, Operators, Keywords
Variables, Data Types, Generics
Memory Usage, Pointers, Arrays
Branching, Iteration, Iterators
Functions, Control Flow, Scope,
Closures, Enumerations, OOP
Classes and Instances, Immutability, Inheritance
Polymorphism, Exception Handling, Composition
Asynchronous Programming, Multithreading, Multiprocessing

Internal Workings:
Binary, Hexadecimal, Number Systems
Extrinsic vs Intrinsic Data, Coupling, MVC Architecture
CPU, FED Cycle, Spatial Locality
Caching, Performance, Memory Types
Storing Complex Data (Text), Storing Complex Data (Sound), Storing Complex Data (Images)

Data Structures and Algorithms:
Performance, Big O, Measuring Performance
Searching, Sorting, Decomposition
Data Structures, Arrays, Linked Lists
Single Buffers (Pools), Double Buffers, Ring Buffers
Stacks, Queues, Priority Queues
Heaps, Hash Tables, Graphs
Trees, Binary Trees, Vectors
verified badge
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.
verified badge
Pardeep
Embark on a journey to become a proficient C# programmer with our comprehensive course tailored for beginners and those looking to enhance their coding skills. Whether you're aspiring to develop software applications, web services, or games, this course is your key to mastering the fundamentals and beyond.

What You'll Learn:

Introduction to C#:

Understand the syntax and structure of the C# language.
Master fundamental concepts like variables, data types, and control structures.
Object-Oriented Programming (OOP):

Dive deep into the principles of OOP for building modular and scalable code.
Create and manipulate objects, classes, and inheritance.
Exception Handling and Debugging:

Learn effective strategies for handling errors and exceptions.
Debug and optimize your code for robust performance.
Working with Databases:

Connect your C# applications to databases for data storage and retrieval.
Utilize Entity Framework for seamless database interaction.
Graphical User Interface (GUI) Development:

Design intuitive and responsive user interfaces.
Implement event handling and user interactions.
Web Development with ASP.NET:

Explore web development using C# with ASP.NET.
Build dynamic and interactive web applications.
Version Control with Git:

Learn essential version control techniques using Git.
Collaborate with other developers and manage project versions efficiently.
Why Choose Our Course:

Practical Projects: Apply your skills through hands-on coding projects.
Expert Instructors: Learn from experienced C# developers and industry professionals.
Peer Collaboration: Engage in collaborative coding exercises and projects for a real-world experience.
Career Guidance: Receive insights into C# career paths and industry best practices.

Who Is This Course For:

Aspiring Software Developers
Web Developers
Students and Enthusiasts
Professionals looking to upskill in C#
Unlock the world of C# programming and elevate your coding prowess. Enroll now to start your journey towards mastering the essentials of C# programming!
verified badge
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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