a Small présentation of anaconda

2. 03.
02.
01.
04.
TABLE OF CONTENTS
Tool presentation
Anaconda Python
packages
Conda and Anaconda
Navigator
Why Anaconda

3. What is
anaconda
distribution
01.

4. ANACONDA
DISTRIBUTION
• “The world’s most popular open-source
Python distribution platform”
• Anaconda Distribution is a Python/R data
science distribution that contains conda,
which is a package and environment
manager, which helps users to manage a
collection of over than 8,000 open-source
data science and machine learning
packages.

5. Conda and And
Anaconda
Navigator
02.

6. Anaconda Navigator
● Anaconda Navigator lets us
easily manage integrated
applications, packages, and
environments without using the
command line
● Anaconda Navigator is a GUI
interface for many of the
features of conda

7. Conda
● Conda is an open-source package and
environment management system that runs
on Windows, macOS, and Linux. Conda
quickly installs, runs, and updates packages
and their dependencies. It also easily
creates, saves, loads, and switches between
environments on your local computer. It was
created for Python programs, but it can
package and distribute software for any
language
● the conda package and environment
manager can be activated via a CLI

8. How to activate conda environment
To create Environment :
To see the list of conda environments :
To activate the environment :

9. What are Anaconda
Python packages?
03.

10. Anaconda simplify package management and deployment ,it comes
with over 150 pre-installed Python packages to get you started
quickly. Some common packages that come pre-installed are:
NumPy Pandas
Sqlite Django

11. Package Installation
To install more Python packages we use :
To Install a specific version of a package, add the VERSION with the package name.
For example:
To upgrade a Python package in conda we use :

12. Why we have to
choose
anaconda ??
04.

13. Anaconda advanteges
Able to install/update packages
completely independent of
system libraries or admin
privileges
With Anaconda Navigator, we
have been able to use multiple
IDEs such as JupyterLab,
Spyder, Visual Studio Code
03
01 02
free and open-source and It has
tools to easily collect data
from sources using machine
learning and AI

14. Conclusion

15. ANACONDA
DISTRIBUTION
In the end, The modern world of data science is incredibly dynamic.
Every day, new challenges surface - and so do incredible
innovations. To win in this context, organizations need to give their
teams the most versatile, powerful data science and machine
learning technology. Anaconda is the best tool to get started in Data
Science. We can classify Anaconda as a one-step setup and offers
a curated list of packages that cover a wide variety of projects
involving web/app development, Artificial Intelligence, and even IoT.
Anaconda also provides a cloud repository which makes installing
dependencies much simpler.