Python Anaconda Tutorial | Edureka
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The document provides an introduction to Anaconda, an open-source distribution for Python and R, widely used in data science, machine learning, and deep learning. It outlines the installation process, library management using Anaconda Navigator, and highlights fundamental Python concepts and data analysis techniques. Anaconda simplifies package management and deployment, making it accessible for users to work with over 300 data science packages.
Python Anaconda Tutorial | Edureka
- 2. Introduction To Anaconda www.edureka.co/python Installation And Setup How To Install Libraries? Anaconda Navigator Use Case – Python Fundamentals Use Case – Data Analysis
- 4. Simplified Package management and deployment Used for data science, machine learning, deep learning, etc. Anaconda is an open- source distribution of Python and R More than 300 data science packages www.edureka.co/python
- 6. www.edureka.co/python Go To https://www.anaconda.com/distribution/ Download the suitable version Open the setup and follow instructions Run the application after the installation finishes 1 2 4 3 www.edureka.co/python
- 8. After the installation it will show completed installation Run the command (Conda install libraryname) Search for the library for installation Open Anaconda Prompt www.edureka.co/python
- 12. Variable and data types Control Statements Classes and Objects Operators Functions www.edureka.co/python
- 14. Data Analytics Collecting Data Slicing and dicing Visualization Analysis www.edureka.co/python
- 15. Copyright © 2017, edureka and/or its affiliates. All rights reserved. www.edureka.co