The PowerPoint presentation, titled "Python for Traders," is designed as an introductory course for individuals in the trading sector who are interested in learning Python programming to enhance their trading strategies and analysis. Here's a brief description of the contents: Python Basics: This section introduces the foundational elements of Python. It covers setting up the Python environment, learning the basic syntax, understanding variables, and exploring the different data types in Python. This serves as the building block for traders to start coding in Python. Control Structures: Traders are taught how to control the flow of their programs using conditional statements and loops. This is crucial for developing trading algorithms that can make decisions based on market data. Functions & Libraries: This part focuses on creating reusable pieces of code called functions and gives a brief overview of libraries. For traders, functions are important for tasks that are performed repeatedly, such as calculating indicators or executing trades. Libraries provide a wealth of pre-written code that can be leveraged to perform complex tasks more easily, including data analysis, data visualization, and machine learning, which are particularly useful in trading. This PPT could be an invaluable resource for traders who want to leverage Python's capabilities to build sophisticated trading models, back-test strategies, and automate trades, ensuring they stay competitive in the fast-evolving trading landscape.

1. Python for Traders
< Introduction to Python for Trading – Chapter 1 >
{
}
...

2. About Me
● Trading Since 2006 onwards
● Writing about Markets Since 2007 onwards
● Trainer Since 2013 onwards
Expertise in
○ Market Profile
○ Orderflow Analytics
○ Volume Spread Analysis
○ Amibroker AFL Programming
○ Tradingview Pinescript Programming
○ Python Programming
learn.marketcalls.in

3. Table of contents
Setting Python Environment, Learning
Basic Syntax, variables, data types
Learn conditional statements and
loops
Create reusable functions, class and
brief overview of libraries
01
02
03
Python Basics
Control Structures
Functions & Libraries
learn.marketcalls.in

4. Python Environment
● Install Python https://www.python.org/downloads/
● Install VS Code https://code.visualstudio.com/
● Install Python, Pylance & Jupiter extensions in VS Code
Installation Guidelines (PDF Material) available in the
course section
learn.marketcalls.in

5. Why To
Learn
Python?
learn.marketcalls.in

6. Python 3.x Version Timeline
Version Release Date Major Features
3.0 2008-12-03 Initial Release of Python 3
3.1 2009-06-27 Ordered Dictionaries, new io module
3.2 2011-02-20 Stable ABI, concurrent.futures module
3.3 2012-09-29 yield from, u'unicode' syntax
3.4 2014-03-16 asyncio, pip as default package manager
3.5 2015-09-13 async/await, type hinting
3.6 2016-12-23 Formatted string literals, secrets module
3.7 2018-06-27 Data classes, contextvars module
3.8 2019-10-14 Walrus operator, f-strings support = expressions
3.9 2020-10-05 Dictionary union operators, zoneinfo module
3.10 2021-10-04 Pattern matching, parenthesized context managers
3.11 2022-10-03 Exception Groups, self type, TOML in stdlib
3.12 2023-10-02 Hypothetical features
3.13 2024-10-01 Hypothetical features
Check Python Version
from command prompt
learn.marketcalls.in

7. Python IDE
VS Code PyCharm Spyder
learn.marketcalls.in

8. Cloud based environments
Google Colab Kaggle Watson Studio
learn.marketcalls.in

9. Jupyter Notebook

10. PIP Commands
Important pip commands
pip install yfinance
pip install –upgrade yfinance
pip list
PIP Overview
• Package manager for Python
• Stands for "Pip Installs Packages“
Simplified Package Management
• Facilitates easy installation of
third-party Python packages
• Streamlines upgrading and
removal of packages
learn.marketcalls.in

11. Understanding Data Types
Represents real numbers
(numbers with decimal
points). For example,
3.14 or -0.001
Represents whole
numbers, both positive
and negative. For
example, 5 or -42.
Integer (int) Float
{
}
learn.marketcalls.in

12. Variables
● A variable in
programming is a
symbolic name or
identifier that
represents a value
or a piece of data
stored in a
computer's
memory.
● Variables are used
to store,
manipulate, and
retrieve data within

13. Understanding Data Types
Represents either True
or False, used for
logical operations and
comparisons.
Represents sequences of
characters, enclosed in
single or double quotes.
For example, "Hello,
World!" or 'Python'
String (str) Boolean (bool)
{
}
learn.marketcalls.in

14. Conditional Operators
Operator Description Example Result Description
== Equal to a == b True if a is equal to b
!= Not equal to a != b True if a is not equal to b
> Greater than a > b True if a is greater than b
< Less than a < b True if a is less than b
>= Greater than or equal to a >= b
True if a is greater than or equal
to b
<= Less than or equal to a <= b True if a is less than or equal to b
and Logical AND a > 5 and b < 10 True if both conditions are true
or Logical OR a < 5 or b > 10
True if at least one condition is
true
not Logical NOT not(a == b) True if the condition is not true

15. F-String Formatting

16. Understanding Data Types
Represents ordered
collections of
items. Lists are
mutable
Similar to lists but
immutable. Often used
for grouping related
data
Represents key-
value pairs, where
each value is
associated with a
unique key
Represents unordered
collections of unique
elements. Sets do not
allow duplicates
List
Dict
Tuple
Set

17. List
• A list is an ordered collection of items, where each item can be of different data types.
• Lists are mutable, which means you can change their contents (add, remove, or modify elements).
learn.marketcalls.in

18. Tuple
• A tuple is similar to a list but is immutable, meaning you cannot change its contents after creation.
• Tuples are often used to represent fixed sets of related data.
learn.marketcalls.in

19. Dictionary (dict):
• A dictionary is a collection of key-value pairs, where each key is unique and associated with a value.
• Dictionaries are useful for storing and retrieving data based on specific identifiers.
learn.marketcalls.in

20. Set
• A set is an unordered collection of unique elements.
• Sets are handy when you need to maintain a collection of distinct items.
learn.marketcalls.in

21. If-Else Structure
learn.marketcalls.in

22. For Loop
learn.marketcalls.in

23. User Defined Function

24. Class Example

25. 1.Class:
•A class is a blueprint or template for creating objects (instances).
•It defines the attributes (data) and behaviors (methods) that its objects will have.
•Classes serve as a blueprint for creating multiple objects with similar characteristics and behaviors.
2.Object:
•An object is an instance of a class.
•It is a concrete, real-world entity created from the class blueprint.
•Objects have their own unique attributes (values for class variables) and can perform actions (invoke
methods) defined in the class.
3.Method:
•A method is a function that is defined within a class and operates on class attributes.
•Methods define the behaviors or actions that objects of the class can perform.
•Methods can access and modify the attributes of the class or perform specific operations related to the
class.
4.Constructor:
•A constructor is a special method in a class that is automatically called when an object of the class is
created.
•It typically initializes the object's attributes with initial values.
•In Python, the constructor method is named __init__ and is used to set up the initial state of an object.
•Constructors can accept parameters to customize the initialization of objects.
learn.marketcalls.in

26. Popular Python Libraries

27. Importing Python Libraries

28. CREDITS: This presentation template was created by
Slidesgo, and includes icons by Flaticon, and
infographics & images by Freepik
Thanks!
< Do you have any questions? >
rajandran@marketcalls.in
Phone +91 9535133445
Whatsapp +91 9901867760
learn.marketcalls.in