PYTHON
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Course sections
Section 1
Introduction to Python Programming
1
Introduction to Programming
2
History of Python
3
Python Installation and Environment Setup
4
Python Basics – Syntax, Data Types, Variables, and Operators
5
Python Input and Output
6
Control Flow and Loops
7
Functions and Modules
8
Working with Files and Directories
Section 2
Data Structures and Algorithms
1
Arrays and Lists
2
Dictionaries and Sets
3
Tuples and Sequences
4
Stack and Queues
5
Searching and Sorting Algorithms
6
Recursion
7
Big O Notation
Section 3
Object-Oriented Programming
1
Introduction to Object-Oriented Programming
2
Classes and Objects
3
Inheritance and Polymorphism
4
Encapsulation and Abstraction
5
Exception Handling
Section 4
Web Development with Python
1
Introduction to Web Development with Python
2
Web Frameworks – Flask and Django
3
HTML and CSS
4
Creating Dynamic Web Pages with Python
5
Database Connectivity
6
Deploying Web Applications
Section 5
Data Analysis and Visualization
1
Introduction to Data Analysis and Visualization
2
Data Structures for Data Analysis – Pandas and Numpy
3
Data Cleaning and Preprocessing
4
Data Visualization with Matplotlib and Seaborn
5
Exploratory Data Analysis
Section 6
Machine Learning
1
Introduction to Machine Learning
2
Linear Regression
3
Logistic Regression
4
Decision Trees
5
Random Forest
6
Support Vector Machines
7
Naive Bayes
8
K-Nearest Neighbors
9
Clustering Algorithms
10
Dimensionality Reduction
Section 7
Advanced Topics
1
Regular Expressions
2
Networking and Sockets
3
Multithreading and Concurrency
4
GUI Programming with Tkinter
5
Working with APIs
6
Image and Video Processing with OpenCV
7
Natural Language Processing with NLTK
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Data Analysis and Visualization
Data Cleaning and Preprocessing
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Data Analysis and Visualization
Data Structures for Data Analysis – Pandas and Numpy
Complete
Data Analysis and Visualization
Data Visualization with Matplotlib and Seaborn
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