Python- Numpy & Pandas Python Programming Language Libraries
Python | Numpy & Pandas for Python Data Analysis, Data Science, Machine Learning from A-Z with python projects & quizzes
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21 hours
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May 2025
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What you will learn
Python is a computer programming language often used to build websites and software, automate tasks, and conduct data analysis.
Python is a general-purpose language, meaning it can be used to create a variety of different programs and isn't specialized for any specific problems.
Whether you work in artificial intelligence or finance or are pursuing a career in web development or data science, Python is one of the most important skills
Its simple syntax and readability makes Python perfect for Flask, Django, data science, and machine learning.
Installing Anaconda Distribution for Windows
Installing Anaconda Distribution for MacOs
Installing Anaconda Distribution for Linux
Reviewing The Jupyter Notebook
Reviewing The Jupyter Lab
Python Introduction
First Step to Coding
Using Quotation Marks in Python Coding
How Should the Coding Form and Style Be (Pep8)
Introduction to Basic Data Structures in Python
Performing Assignment to Variables
Performing Complex Assignment to Variables
Type Conversion
Arithmetic Operations in Python
Examining the Print Function in Depth
Escape Sequence Operations
Boolean Logic Expressions
Order Of Operations In Boolean Operators
Practice with Python
Examining Strings Specifically
Accessing Length Information (Len Method)
Search Method In Strings Startswith(), Endswith()
Character Change Method In Strings Replace()
Spelling Substitution Methods in String
Character Clipping Methods in String
Indexing and Slicing Character String
Complex Indexing and Slicing Operations
String Formatting with Arithmetic Operations
String Formatting With % Operator
String Formatting With String Format Method
String Formatting With f-string Method
Creation of List
Reaching List Elements – Indexing and Slicing
Adding & Modifying & Deleting Elements of List
Adding and Deleting by Methods
Adding and Deleting by Index
Other List Methods
Creation of Tuple
Reaching Tuple Elements Indexing And Slicing
Creation of Dictionary
Reaching Dictionary Elements
Adding & Changing & Deleting Elements in Dictionary
Dictionary Methods
Creation of Set
Adding & Removing Elements Methods in Sets
Difference Operation Methods In Sets
Asking Questions to Sets with Methods
Comparison OperatorsIntersection & Union Methods In Sets
Structure of “if” Statements
Structure of “if-else” Statements
Structure of “if-elif-else” Statements
Structure of Nested “if-elif-else” Statements
Coordinated Programming with “IF” and “INPUT”
Ternary Condition
For Loop in Python
For Loop in Python(Reinforcing the Topic)
Using Conditional Expressions and For Loop Together
Continue Command
Break Command
List Comprehension
While Loop in Python
While Loops in Python Reinforcing the Topic
Getting know to the Functions
How to Write Function
Return Expression in Functions
Writing Functions with Multiple Argument
Writing Docstring in Functions
Using Functions and Conditional Expressions Together
Arguments and Parameters
High Level Operations with Arguments
all(), any() Functions
map() Function
filter() Function
zip() Function
enumerate() Function
sum() Function
max(), min() Functions
round() Function
Lambda Function
Local and Global Variables
Features of Class
Instantiation of Class
Attribute of Instantiation
Write Function in the Class
Inheritance Structure
Pandas is an open source Python package that is most widely used for data science/data analysis and machine learning tasks.
Pandas is mainly used for data analysis and associated manipulation of tabular data in DataFrames.
Pandas is a fast, powerful, flexible and easy to use open source data analysis and manipulation tool, built on top of the Python programming language.
Pandas Pyhon aims to be the fundamental high-level building block for doing practical, real world data analysis in Python
Numpy is a library for the Python programming language, adding support for large, multi-dimensional arrays and matrices.
NumPy aims to provide an array object that is up to 50x faster than traditional Python lists.
NumPy brings the computational power of languages like C and Fortran to Python.
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5289380
udemy ID
24/04/2023
course created date
15/05/2023
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