1. Python: Mastering the
Language of Data
Science
In this presentation, we'll explore the beauty and power of Python. From
basics to applications, you will gain a solid understanding of the language
used by data scientists and developers worldwide.
M by Mohammed Haneef
2. Introduction to Python
What is Python?
Python is a high-level, interpreted
programming language known for its simple
syntax and readability, making it an ideal
language for beginners. It is also widely used
in various fields like web development, data
science, machine learning, and artificial
intelligence.
Who Should Learn Python?
Python is for everybody! Whether you are a
beginner or an experienced programmer,
Python can be beneficial for you. It is used in
various applications - from scientific computing
to web development.
What Can You Do With Python?
Python is used for web development, data
analysis, data visualization, machine learning,
and game development. It's a highly versatile
language that can be put to use in just about
any field!
3. Data Types and Variables
Data Types
Python has various data types,
including numbers, strings, lists,
tuples, sets, and dictionaries.
Understanding data types is crucial
for programming in Python.
Variables
Variables are used to store values in
Python. Python variables can store
different types of data, and their
values can change throughout the
program. Learning how to work with
variables is a fundamental concept in
Python.
Best Practices
When working with variables, it's
essential to follow best practices for
naming and organizing your code.
These will help you write clear, well-
organized, and maintainable
software.
4. Conditional Statements and Loops
1 Conditional Statements
Conditional statements are used to test conditions and execute different blocks of code based on the outcome. Python
has if, elif, and else statements, which are essential for decision-making in programming.
2 Loops
In Python, loops allow you to execute repetitive code without writing the same lines of code multiple times. Python has
two types of loops - for and while - which are useful for iterating through lists, dictionaries, and other data structures.
3 Examples
You can use conditional statements and loops to write powerful Python programs, ranging from simple applications like
password generators to more complex programs like machine learning models.
5. Functions and Modules
Functions
Functions are reusable blocks of code that
perform a specific task. In Python, you can
define your functions and use them later in
your code.
Modules
Python modules are collections of functions,
variables, and classes that you can use in
your code. Python has many built-in modules,
and you can also create your modules.
Working with Functions and
Modules
Working with functions and modules can help
you write cleaner, more organized, and more
efficient code. You can use these concepts to
break up your code into smaller, more
manageable pieces and bring in functionality
from other code.
6. File Handling
1
Opening and Closing a File
Python provides built-in functions for working with files. The
first step is to open a file, and the last step is to close it.
2
Reading and Writing a File
Once you have opened a file, you can read or write to it as
required. Python has various functions for these purposes,
including read, readline, write, and writelines.
3
Handling Exceptions
Whenever you work with files, it is essential to handle
exceptions that could occur while reading, writing, or closing.
Python provides a try-except block for this purpose.
7. Object-Oriented Programming in Python
Introduction to OOP
Object-Oriented Programming (OOP)
is a programming paradigm that
focuses on objects. Everything in
OOP is an object that has properties
and methods. Python is an object-
oriented language, making it possible
to model real-world problems more
efficiently.
Classes and Objects
Python has a rich set of built-in
classes but also allows you to define
your classes. A class is a blueprint
for creating objects. An object is an
instance of a class.
Inheritance and
Polymorphism
Python supports inheritance, allowing
one class to inherit from another.
Polymorphism allows you to use a
common interface for different
classes, making your code more
flexible and easier to understand.
8. Popular Python Libraries and Frameworks
Pandas
Pandas is a popular data analysis library
in Python. It provides data manipulation
and processing capabilities and is useful
in financial analysis and scientific
research.
Django
Django is a high-level web framework that
allows you to build web applications
quickly and efficiently. It provides lots of
built-in features, including authentication,
admin interface, and ORM support.
Numpy
Numpy is a library for Python used for
scientific computing. It has functions for
working with multidimensional arrays and
matrices, and can handle complex
mathematical operations.
