Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/codersales/anaconda-notes
Notes on Anaconda
https://github.com/codersales/anaconda-notes
anaconda documentation notes python python3
Last synced: about 5 hours ago
JSON representation
Notes on Anaconda
- Host: GitHub
- URL: https://github.com/codersales/anaconda-notes
- Owner: CoderSales
- License: mit
- Created: 2023-09-01T03:46:56.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2023-09-01T05:35:14.000Z (about 1 year ago)
- Last Synced: 2023-09-01T21:35:19.119Z (about 1 year ago)
- Topics: anaconda, documentation, notes, python, python3
- Homepage:
- Size: 33.2 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# anaconda-notes
Notes on Anaconda
## [anaconda cloud](https://anaconda.cloud/)
## [freelearning.anaconda.cloud](https://freelearning.anaconda.cloud/)
### [What are Modules, Packages, and Libraries?](https://freelearning.anaconda.cloud/get-started-with-anaconda/19826):
@01:13:
Tools
Data Analysis
- pandas
- NumPy
- SciPy
Machine Learning
- TensorFlow
- scikit learn
- PyTorch
- Keras
Data Visualization
- matplotlib
- bokeh
- plotly
- Streamlit
### [Understanding Conda](https://freelearning.anaconda.cloud/get-started-with-anaconda/19308):
conda: an open-source tool for managing:
- package:
- repositories
- dependencies
and
- environments
for all programming languages:
- Python
- R
- Ruby
- Lua
- Scala
- Java
- JavaScript
- C/C++
- FORTRAN
@00:21:
A cooking analogy:
- conda like a kitchen
- has pantry - store `utensils, appliances, ingredients`
- in conda - package repository acts like a pantry
- where instead of `utensils, appliances, ingredients` you find softwaree programs known as packages.
- a dish depends on utensils and ingredients
- in conda each package may depend on other packages
- e.g. when install package: pandas, automatically install other packages that depends on like NumPy.
@01:13:
- packages are like recipies
- you may use one prepared by someone else with recipe and ingredients. -> reproducible meal
- in Anaconda environments act like meal kits
- create a reproducible environment from an environment.yml file you or others created
- can pin versions of packages in environment.
@01:51:
Recommended: Create separate environments per project
Environment management:
- environment each for:
- ML/AI Project
- ETL dashboarding project
- R project
### [Conda Workflow: Creating Environments, Installing Packages, and Launching an IDE](https://freelearning.anaconda.cloud/get-started-with-anaconda/18202)
@00:18:
#### A Conda Workflow:
1. create environment
2. activate environment
3. install packages
4. launch JupyterLab
5. deactivate environment
@00:34:
1. Create environment
on Windows: open `anaconda prompt`
```bash
conda --version
```
```bash
conda env list
```
- you always begin in base environment
- always create a new environment
- never work in base
@01:07
```bash
conda create --name example
```
can create environment with a specific version of python:
e.g. :
```bash
conda create --name examnple python=3.9
```
@01:41
2. Activate Environment
moves you out of `base` into -> new environment e.g. `example`
- here you can install separate
- distinct versions of python
- and packages
- specifically for your project
- without affecting `base` environment packages.
Rerun:
```bash
conda env list
```
ensure new environment: `example` is in your environment list
@02:04:
to activate:
```bash
conda activate example
```
@02:12:
once in new environment:
```bash
conda list
```
3. install packages
to see installed packages
can install multiple packages in one command:
e.g. :
```bash
conda install jupyterlab dask pandas hvplot
```
@02:35:
If you cannot find a package on
`the default conda channel`
you can search for it on:
[anaconda.org](https://anaconda.org/)
where robust channels like conda forge host
many additional packages
@02:45
to install a package from
`conda forge`
for example
add
```bash
-c
```
to the channel name
e.g. :
```bash
conda install -c conda-forge conda-stats
```
4. launch jupyterlab
```bash
jupyter-lab
```
@03:20 to @03:30
working in jupyter-lab in browser example
@03:30:
to end jupyter lab session:
`Ctrl + C`
@03:44:
5. deactivate environment
Best practice:
Deactivate environment before switching to another environment
- once working with multiple projects
@03:52:
```bash
conda deactivate
```
[What is an IDE?](https://freelearning.anaconda.cloud/get-started-with-anaconda/36655) :
- IDE Integrated Development Environment
- Python IDE's
@00:24 :
An IDE has:
1. text editor
2. integrated build tools
- for compiling languages like:
- C, C++, Go, Rust
3. integrated debugger
- tool helps fic errors in code
@00:39:
An IDE brings these 3 elements together in a single interface
@00:47:
Popular python IDE's
@01:19:
- Spyder has similarities with MATLAB
@01:27:
Jupyter:
- jupyter notebooks
-- file browser
-- notebook editor
- JupyterLab
-- editing python and notebooks
-- in a more IDE like environment
____
[What is Jupyter Notebook and JupyterLab?](https://freelearning.anaconda.cloud/get-started-with-anaconda/18571)