Learn Python

This repository is a learning resource for Python at different skill levels. The content is organized into different sections.

1.0 Basic Python

• Basic Python Concepts
• Description: Build a solid foundation in Python programming.
• Basic Concepts Covered:
  • Variables and Data Types
  • Control Flow (if statements, loops)
  • Functions
  • Lists, Dictionaries, and Sets
• Common Packages:
  • None specified for the basic concepts.

1.1 Visualization

• Visualization
• Description: Learn how to visualize data using Python.
• Basic Concepts Covered:
  • Matplotlib for basic plotting
  • Seaborn for statistical data visualization
• Common Packages:
  • Matplotlib
  • Seaborn

2.0 Intermediate Python

• Intermediate Python Concepts
• • Description: Explore intermediate-level Python concepts and applications.
• Basic Concepts Covered:
  • File Handling
  • Exception Handling
  • Object-Oriented Programming (OOP)
• Common Packages:
  • None specified for intermediate concepts.

2.1 OpenCV

• OpenCV
• Description: Dive into computer vision with OpenCV.
• Basic Concepts Covered:
  • Image Processing
  • Feature Detection
  • Object Recognition
• Common Packages:
  • OpenCV

2.2 Sklearn & NLP

• Sklearn & NLP
• Description: Learn machine learning with Scikit-Learn and Natural Language Processing (NLP).
• Basic Concepts Covered:
  • Machine Learning Basics
  • Text Processing and Analysis
• Common Packages:
  • Scikit-Learn
  • NLTK (Natural Language Toolkit)

3.0 Advanced Python

• Advanced Python Concepts
• Description: Master advanced Python concepts and techniques.
• Basic Concepts Covered:
  • Decorators
  • Generators
  • Context Managers
• Common Packages:
  • None specified for advanced concepts.

3.1 PySpark

• PySpark
• Description: Explore big data processing with PySpark.
• Basic Concepts Covered:
  • Resilient Distributed Datasets (RDDs)
  • DataFrames
  • Spark SQL
• Common Packages:
  • PySpark

4.0 DL with Tensorflow and Keras

• Deep Learning with Tensorflow and Keras
• Description: Delve into Deep Learning using TensorFlow and Keras.
• Basic Concepts Covered:
  • Neural Networks
  • Convolutional Neural Networks (CNNs)
  • Recurrent Neural Networks (RNNs)
• Common Packages:
  • TensorFlow
  • Keras

5.0 Ex_Files_Python_Code_Challenges_2022/Exercise Files

• Exercise Files
• Description: Practice your Python skills with coding challenges.
• Basic Concepts Covered:
  • Problem Solving
  • Algorithmic Thinking
• Common Packages:
  • None specified for coding challenges.

6.0 Interview Preparation Data Science

• Interview Preparation - Data Science
• Description: Prepare for Data Science interviews with Python.
• Basic Concepts Covered:
  • Data Manipulation and Cleaning
  • Statistical Analysis
  • Machine Learning Applications