Skip to main content
Back to top
Ctrl
+
K
Essentials
Python
Introduction
Hello World
Keywords and identifiers
Statement indentation & comments
Variables & constants
Literals
Datatypes
Type conversion
I/O & imports
Operators
Namespace & scope
Interpreter vs compiler
Datatypes
Numbers
String
List
Tuple
Dictionary
Sets
List comprehension
Control flows
Flow control statement
If
If else
If elif else
Nested if
Loops in Python
Loops in Python
Break continue & pass
Functions
Python Functions
Global, local and nonlocal
Python
global
Keyword
Function Argument and Parameter
Python Recursion
Anonymous
Module
Random module
Math module
Package
Docstrings
User defined functions
Files
File I/O
File directory
File exception
Exceptions handling
User defined exceptions
Objects & classes
OOPs concepts
Python Classes and Objects
Inheritance
Operator overloading
self demystified
Advanced
Iterators
Generators
Closure
Decorators
Property
RegEx
args and kwargs
Date time module
Datetime
strftime
strptime
Current date & time
Current time
Timestamp to datetime
Time module
Sleep
Mathematics
Vectors
Matrices
Similarity measure
Statistics
Work in progress
Tools
Data analytics
NumPy
Python NumPy
Arrays Part 1
Arrays Part 2
Arrays Part 3
Arrays Part 4
Exercises
Pandas
Python Pandas
Dataframe from dictionary
Dataframe from List
Head & tail
Drop columns
Drop duplicates
Drop with NA
Rename columns
Dataframe to python dictionary
Set index
Reset index
Exercise 1
Exercise 2
Matplotlib
Matplotlib
Matplotlib 2
Seaborn
Loading Dataset
Controlling aesthetics
Matplotlib vs seaborn
Color palettes
LM and regerssion plots
Scatter and join plots
Regerssion plots
Seaborn distribution plot
Categorical swarn plot
Categorical strip plot
Categorical box plot
Categorical violin plot
Categorical bar, point & count plot
Categorical factor plot
Timeseries and letter value plot
Pair grid Pplot
Facet grid plot
Heat map
Cluster map
Neural networks
Pytorch
Fundamentals
Workflows
Classification
Computer vision
Custom datasets
Going Modular
Transfer learning
Experiment tracking
Replicating papers
Model deployment
LLMs
Langchain
LangChain Cookbook 👨🍳👩🍳
LangChain Cookbook Part 2: Use Cases👨🍳👩🍳
Projects gallery
LangSmith
LangGraph
HuggingFace introduction and setup
Concepts
Concepts at glance
Linear regression
Logistic regression
K-means
Anomaly detection
Neural networks
Blogs & resources
Blogs
Research papers
E-Books
Courses
About me
About me
.md
.pdf
Introduction to HuggingFace
Introduction to HuggingFace
#
