Anaconda - Revision history

BPeat at 20:05, 9 July 2023

2023-07-09T20:05:35Z

BPeat: Text replacement - "http:" to "https:"

2023-03-28T00:28:47Z

Text replacement - "http:" to "https:"

BPeat at 03:42, 9 February 2023

2023-02-09T03:42:45Z

BPeat at 17:51, 12 December 2021

2021-12-12T17:51:48Z

BPeat at 17:17, 12 December 2021

2021-12-12T17:17:35Z

BPeat at 17:17, 12 December 2021

2021-12-12T17:17:07Z

BPeat at 17:16, 12 December 2021

2021-12-12T17:16:37Z

BPeat at 17:09, 12 December 2021

2021-12-12T17:09:53Z

BPeat at 16:54, 12 December 2021

2021-12-12T16:54:19Z

BPeat at 16:45, 12 December 2021

2021-12-12T16:45:53Z

← Older revision		Revision as of 20:05, 9 July 2023
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−	Anaconda is a distribution of the [[Python]] and R programming languages for scientific computing (data science, machine learning applications, large-scale data processing, ~~predictive analytics~~, etc.), that aims to simplify package management and deployment. The distribution includes data-science packages suitable for Windows, Linux, and macOS. It is developed and maintained by Anaconda, Inc., which was founded by Peter Wang and Travis Oliphant in 2012. As an Anaconda, Inc. product, it is also known as Anaconda Distribution or Anaconda Individual Edition, while other products from the company are Anaconda Team Edition and Anaconda Enterprise Edition, both of which are not free. Package versions in Anaconda are managed by the package management system conda. This package manager was spun out as a separate open-source package as it ended up being useful on its own and for things other than [[Python]]. There is also a small, bootstrap version of Anaconda called Miniconda, which includes only conda, [[Python]], the packages they depend on, and a small number of other packages. [https://en.wikipedia.org/wiki/Anaconda_(Python_distribution) Wikipedia]	+	Anaconda is a distribution of the [[Python]] and R programming languages for scientific computing (data science, machine learning applications, large-scale data processing, [[Predictive Analytics]], etc.), that aims to simplify package management and deployment. The distribution includes data-science packages suitable for Windows, Linux, and macOS. It is developed and maintained by Anaconda, Inc., which was founded by Peter Wang and Travis Oliphant in 2012. As an Anaconda, Inc. product, it is also known as Anaconda Distribution or Anaconda Individual Edition, while other products from the company are Anaconda Team Edition and Anaconda Enterprise Edition, both of which are not free. Package versions in Anaconda are managed by the package management system conda. This package manager was spun out as a separate open-source package as it ended up being useful on its own and for things other than [[Python]]. There is also a small, bootstrap version of Anaconda called Miniconda, which includes only conda, [[Python]], the packages they depend on, and a small number of other packages. [https://en.wikipedia.org/wiki/Anaconda_(Python_distribution) Wikipedia]

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 |description=Helpful resources for your journey with artificial intelligence; videos, articles, techniques, courses, profiles, and tools
 }}
-[http://www.youtube.com/results?search_query=Anaconda+python+machine+learning+ML Youtube search...]
+[https://www.youtube.com/results?search_query=Anaconda+python+machine+learning+ML Youtube search...]
-[http://www.google.com/search?q=Anaconda+python+machine+learning+ML+artificial+intelligence ...Google search]
+[https://www.google.com/search?q=Anaconda+python+machine+learning+ML+artificial+intelligence ...Google search]
-* [http://www.anaconda.com/ Anaconda]
+* [https://www.anaconda.com/ Anaconda]
-* [http://docs.anaconda.com/ Anaconda Documentation]
+* [https://docs.anaconda.com/ Anaconda Documentation]
-** [http://docs.anaconda.com/_downloads/9ee215ff15fde24bf01791d719084950/Anaconda-Starter-Guide.pdf Starter Guide Cheatsheet]
+** [https://docs.anaconda.com/_downloads/9ee215ff15fde24bf01791d719084950/Anaconda-Starter-Guide.pdf Starter Guide Cheatsheet]
-** [http://docs.anaconda.com/anaconda/user-guide/tasks/tensorflow/ Documentation -] [[TensorFlow]]
+** [https://docs.anaconda.com/anaconda/user-guide/tasks/tensorflow/ Documentation -] [[TensorFlow]]
-* [http://community.anaconda.cloud/?utm_medium=resources&utm_source=anaconda&utm_campaign=nucleus-acquisition Anaconda Community]
+* [https://community.anaconda.cloud/?utm_medium=resources&utm_source=anaconda&utm_campaign=nucleus-acquisition Anaconda Community]
 * [[Python]]
-Anaconda is a distribution of the [[Python]] and R programming languages for scientific computing (data science, machine learning applications, large-scale data processing, predictive analytics, etc.), that aims to simplify package management and deployment. The distribution includes data-science packages suitable for Windows, Linux, and macOS. It is developed and maintained by Anaconda, Inc., which was founded by Peter Wang and Travis Oliphant in 2012. As an Anaconda, Inc. product, it is also known as Anaconda Distribution or Anaconda Individual Edition, while other products from the company are Anaconda Team Edition and Anaconda Enterprise Edition, both of which are not free.  Package versions in Anaconda are managed by the package management system conda. This package manager was spun out as a separate open-source package as it ended up being useful on its own and for things other than [[Python]]. There is also a small, bootstrap version of Anaconda called Miniconda, which includes only conda, [[Python]], the packages they depend on, and a small number of other packages. [http://en.wikipedia.org/wiki/Anaconda_(Python_distribution) Wikipedia]
+Anaconda is a distribution of the [[Python]] and R programming languages for scientific computing (data science, machine learning applications, large-scale data processing, predictive analytics, etc.), that aims to simplify package management and deployment. The distribution includes data-science packages suitable for Windows, Linux, and macOS. It is developed and maintained by Anaconda, Inc., which was founded by Peter Wang and Travis Oliphant in 2012. As an Anaconda, Inc. product, it is also known as Anaconda Distribution or Anaconda Individual Edition, while other products from the company are Anaconda Team Edition and Anaconda Enterprise Edition, both of which are not free.  Package versions in Anaconda are managed by the package management system conda. This package manager was spun out as a separate open-source package as it ended up being useful on its own and for things other than [[Python]]. There is also a small, bootstrap version of Anaconda called Miniconda, which includes only conda, [[Python]], the packages they depend on, and a small number of other packages. [https://en.wikipedia.org/wiki/Anaconda_(Python_distribution) Wikipedia]
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 |title=PRIMO.ai
 |titlemode=append
-|keywords=artificial, intelligence, machine, learning, models, algorithms, data, singularity, moonshot, TensorFlow, Google, Nvidia, Microsoft, Azure, Amazon, AWS, Facebook
+|keywords=artificial, intelligence, machine, learning, models, algorithms, data, singularity, moonshot, TensorFlow, Google, Nvidia, Microsoft, Azure, Amazon, AWS, Meta, Facebook
 |description=Helpful resources for your journey with artificial intelligence; videos, articles, techniques, courses, profiles, and tools
 }}

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 * [http://www.anaconda.com/ Anaconda]
 * [http://docs.anaconda.com/ Anaconda Documentation]
 * [http://community.anaconda.cloud/?utm_medium=resources&utm_source=anaconda&utm_campaign=nucleus-acquisition Anaconda Community]
 * [[Python]]
 Anaconda is a distribution of the [[Python]] and R programming languages for scientific computing (data science, machine learning applications, large-scale data processing, predictive analytics, etc.), that aims to simplify package management and deployment. The distribution includes data-science packages suitable for Windows, Linux, and macOS. It is developed and maintained by Anaconda, Inc., which was founded by Peter Wang and Travis Oliphant in 2012. As an Anaconda, Inc. product, it is also known as Anaconda Distribution or Anaconda Individual Edition, while other products from the company are Anaconda Team Edition and Anaconda Enterprise Edition, both of which are not free.  Package versions in Anaconda are managed by the package management system conda. This package manager was spun out as a separate open-source package as it ended up being useful on its own and for things other than [[Python]]. There is also a small, bootstrap version of Anaconda called Miniconda, which includes only conda, [[Python]], the packages they depend on, and a small number of other packages. [http://en.wikipedia.org/wiki/Anaconda_(Python_distribution) Wikipedia]

@@ Line 13: / Line 13: @@
 * [[Python]]
-Anaconda is a distribution of the [[Python]] and R programming languages for scientific computing (data science, machine learning applications, large-scale data processing, predictive analytics, etc.), that aims to simplify package management and deployment. The distribution includes data-science packages suitable for Windows, Linux, and macOS. It is developed and maintained by Anaconda, Inc., which was founded by Peter Wang and Travis Oliphant in 2012. As an Anaconda, Inc. product, it is also known as Anaconda Distribution or Anaconda Individual Edition, while other products from the company are Anaconda Team Edition and Anaconda Enterprise Edition, both of which are not free.  Package versions in Anaconda are managed by the package management system conda. This package manager was spun out as a separate open-source package as it ended up being useful on its own and for things other than [[Python]]. There is also a small, bootstrap version of Anaconda called Miniconda, which includes only conda, Python, the packages they depend on, and a small number of other packages. [http://en.wikipedia.org/wiki/Anaconda_(Python_distribution) Wikipedia]
+Anaconda is a distribution of the [[Python]] and R programming languages for scientific computing (data science, machine learning applications, large-scale data processing, predictive analytics, etc.), that aims to simplify package management and deployment. The distribution includes data-science packages suitable for Windows, Linux, and macOS. It is developed and maintained by Anaconda, Inc., which was founded by Peter Wang and Travis Oliphant in 2012. As an Anaconda, Inc. product, it is also known as Anaconda Distribution or Anaconda Individual Edition, while other products from the company are Anaconda Team Edition and Anaconda Enterprise Edition, both of which are not free.  Package versions in Anaconda are managed by the package management system conda. This package manager was spun out as a separate open-source package as it ended up being useful on its own and for things other than [[Python]]. There is also a small, bootstrap version of Anaconda called Miniconda, which includes only conda, [[Python]], the packages they depend on, and a small number of other packages. [http://en.wikipedia.org/wiki/Anaconda_(Python_distribution) Wikipedia]
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 ** [[Cython]]: blending Python and [[Other Coding options#C/C++ |C/C++]]  ...thus a superset of programming.
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← Older revision		Revision as of 16:45, 12 December 2021
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	** [[Ludwig]] - a Python toolbox from Uber that allows to train and test deep learning models		** [[Ludwig]] - a Python toolbox from Uber that allows to train and test deep learning models
	** [[Cython]]: blending Python and [[Other Coding options#C/C++ \|C/C++]] ...thus a superset of programming.		** [[Cython]]: blending Python and [[Other Coding options#C/C++ \|C/C++]] ...thus a superset of programming.
		+
		+	{\|<!-- T -->
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		+	<youtube>XdwkflC17DA</youtube>
		+	<b>Anaconda Python \| Python Anaconda Tutorial \| Anaconda Installation \| Great Learning
		+	</b><br>Hey Folks! Today's video discusses "Anaconda Python."Anaconda is an open-source Individual Edition with over 25 million users worldwide, the easiest way to perform Python, R, data science, and machine learning on a single machine. You will begin this video by knowing what Anaconda is, its installation, and the implementation of python programming in it. You will learn essential concepts involved in Python such as Variables, Data types, Operators, Control Statements, In-built data structures, Functions to get an excellent understanding of the fundamentals of Python.
		+	\|}
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		+	{\| class="wikitable" style="width: 550px;"
		+	\|\|
		+	<youtube>wsUfCnGZLJk</youtube>
		+	<b>Install Anaconda, Python, and Jupyter Plus Create Conda Environment
		+	</b><br>Learn how to properly install Anaconda, Python, and Jupyter... all in one video. We also create a conda environment and write our first line of Python code.
		+	\|}
		+	\|}<!-- B -->