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Python Functions Part - 1 | 7/100 Days of Python Algo trading
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Python Functions Part - 1 | 7/100 Days of Python Algo trading
100 Days Schedule Link
MCQs Link
Coding Task Link
Welcome to Day 7 of our 100-day Python algo trading challenge! Today, we're diving into the world of Python functions, a cornerstone of structured and reusable code. Functions are essential for building organized and efficient trading algorithms, enabling you to break down complex tasks into smaller, manageable units. Master the art of defining, calling, and utilizing functions to create cleaner, more maintainable, and powerful trading strategies.
What You'll Learn:
0:00 Introduction: Embark on your journey to understanding Python functions and their role in algo trading.
0:16 What is a Function? Learn the core concept of functions as reusable code blocks.
2:04 How to define a function: Master the syntax for creating functions with parameters and return values.
9:43 What is the need for Functions? Discover how functions promote code reusability, organization, and readability.
12:23 How to create functions with a docstring: Enhance your code documentation and make your functions self-explanatory.
18:10 What are two points of view? Understand the distinction between function definition and function call.
18:58 Parameters Vs Arguments: Differentiate between these two terms and how they relate to functions.
20:37 Types of Arguments: Explore positional, keyword, default, and variable-length arguments.
24:41 What are args and kwargs? Uncover the power of asterisks ( and **) for passing variable numbers of arguments to your functions. This allows you to create flexible functions that can handle a wide range of inputs, making your code more adaptable and reusable.
31:41 How Functions are executed in memory: Understand the inner workings of function calls and the concept of the call stack.
38:47 Without return statement: Learn how functions can modify global state even without explicitly returning a value.
40:49 Variable Scope: Grasp the concept of local and global variables and their implications for function behavior.
By the end of this video, you'll be equipped to create well-structured, modular code using Python functions. You'll be able to encapsulate trading logic, perform calculations, and streamline your algorithms for optimal efficiency. Take your algo trading skills to the next level with this essential programming concept!
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python for beginners
python for finance
python for trading
python algo trading tutorial
AI in trading
machine learning for beginners
machine learning algorithms for trading
deep learning for finance
algorithmic trading strategies
how to build a trading bot with python
trading bot tutorial
algo trading for beginners
machine learning for beginners course
AI for beginners course
python for algo trading beginners
machine learning for algo trading strategies
how to build an AI trading bot with python
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#python #algotrading #algorithmictrading #pythonprogramming #pythontrading #pythonalgotrading #artificialintelligence #AI #machinelearning #ML #deeplearning #algorithms #trading #finance #cryptocurrency #bitcoin
100 Days Schedule Link
MCQs Link
Coding Task Link
Welcome to Day 7 of our 100-day Python algo trading challenge! Today, we're diving into the world of Python functions, a cornerstone of structured and reusable code. Functions are essential for building organized and efficient trading algorithms, enabling you to break down complex tasks into smaller, manageable units. Master the art of defining, calling, and utilizing functions to create cleaner, more maintainable, and powerful trading strategies.
What You'll Learn:
0:00 Introduction: Embark on your journey to understanding Python functions and their role in algo trading.
0:16 What is a Function? Learn the core concept of functions as reusable code blocks.
2:04 How to define a function: Master the syntax for creating functions with parameters and return values.
9:43 What is the need for Functions? Discover how functions promote code reusability, organization, and readability.
12:23 How to create functions with a docstring: Enhance your code documentation and make your functions self-explanatory.
18:10 What are two points of view? Understand the distinction between function definition and function call.
18:58 Parameters Vs Arguments: Differentiate between these two terms and how they relate to functions.
20:37 Types of Arguments: Explore positional, keyword, default, and variable-length arguments.
24:41 What are args and kwargs? Uncover the power of asterisks ( and **) for passing variable numbers of arguments to your functions. This allows you to create flexible functions that can handle a wide range of inputs, making your code more adaptable and reusable.
31:41 How Functions are executed in memory: Understand the inner workings of function calls and the concept of the call stack.
38:47 Without return statement: Learn how functions can modify global state even without explicitly returning a value.
40:49 Variable Scope: Grasp the concept of local and global variables and their implications for function behavior.
By the end of this video, you'll be equipped to create well-structured, modular code using Python functions. You'll be able to encapsulate trading logic, perform calculations, and streamline your algorithms for optimal efficiency. Take your algo trading skills to the next level with this essential programming concept!
Connect with us
Youtube
X ( twitter )
Discord
Telegram
Github
Tags
python for beginners
python for finance
python for trading
python algo trading tutorial
AI in trading
machine learning for beginners
machine learning algorithms for trading
deep learning for finance
algorithmic trading strategies
how to build a trading bot with python
trading bot tutorial
algo trading for beginners
machine learning for beginners course
AI for beginners course
python for algo trading beginners
machine learning for algo trading strategies
how to build an AI trading bot with python
Python mini projects
Data science projects
Data analysis projects
Algotrading projects
#python #algotrading #algorithmictrading #pythonprogramming #pythontrading #pythonalgotrading #artificialintelligence #AI #machinelearning #ML #deeplearning #algorithms #trading #finance #cryptocurrency #bitcoin
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