Merge pull request #40 from iterative/iesahin/fix-minor-issues-in-acc…

…essing Command and typo fixes in Accessing Data scenario
iterative · Mar 10, 2021 · 5ceaed3 · 5ceaed3
2 parents 23d608f + 33f7b2b
commit 5ceaed3
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diff --git a/get-started/accessing/01-download.md b/get-started/accessing/01-download.md
@@ -1,6 +1,6 @@
 # Download
 
-We can download any file in a DVC repository:
+We can download any file from a DVC repository:
 
 ```
 dvc get \

diff --git a/get-started/accessing/02-discovering-files.md b/get-started/accessing/02-discovering-files.md
@@ -1,9 +1,9 @@
 # Discovering files
 
-As we mentioned, if you look at the [repository][dr], you won't see
-`data/data.xml` or `model.pkl`, or any DVC-tracked files. They are not stored
-in Git. We can `dvc get` them, but how do we even know what data is tracked in a
-remote DVC repo before accessing it?
+If you look at the [repository][dr], you won't see `data/data.xml` or
+`model.pkl`, or any DVC-tracked files. They are not stored in Git. We can
+`dvc get` them, but how do we even know what data is tracked in a remote DVC
+repo before accessing it?
 
 [dr]: https://github.com/iterative/dataset-registry
 

diff --git a/get-started/accessing/03-python-api.md b/get-started/accessing/03-python-api.md
@@ -2,13 +2,15 @@
 
 Besides using DVC commands in the command line, we can also access any
 DVC-tracked artifact "natively" from Python with 
-[the API](https://dvc.org/doc/api-reference):
+[the API](https://dvc.org/doc/api-reference). Please click the below link to open the Python script:
 
 `process.py`{{open}}
 
 The script downloads the data like `dvc get` and counts the number of lines in it: 
 
-`python3 process.py`{{execute}}
+`python3 ~/process.py`{{execute}}
+
+Note that the script doesn't download the data to a file before counting the lines. 
 
 The interface of [`dvc.api.open`][apiopen] is similar to the one we've
 seen already. It receives Git repo URL and path as arguments, and works

diff --git a/get-started/accessing/04-reusing-data-or-models.md b/get-started/accessing/04-reusing-data-or-models.md
@@ -11,6 +11,7 @@ A DVC repository and the `dvc import` command are enough to export data and mode
 reuse them, track upstream changes, etc. Let's give it a try:
 
 ```
+mkdir data
 dvc import \
   https://github.com/iterative/dataset-registry \
   get-started/data.xml -o data/data.xml
@@ -19,7 +20,7 @@ dvc import \
 `dvc import` command creates `data/data.xml.dvc` to track the dependency. You
 can view this file in the editor: 
 
-`data/data.xml.dvc`{{open}}
+`project/data/data.xml.dvc`{{open}}
 
 The `url` and `rev_lock` subfields under `repo` are used to save the origin and
 the version of the dependency, respectively:

diff --git a/get-started/accessing/05-congrats.md b/get-started/accessing/05-congrats.md
@@ -5,7 +5,7 @@ download model and data files with `dvc get` or import them to DVC repositories
 with `dvc import`. DVC also has an API that streams large files directly into
 the memory with `dvc.api.open`. 
 
-Our vision is to have a central registry for all the data and model files and
+DVC allows to have a central registry for all the data and model files and
 using them in different projects. It's based on Git, and provides flexibility
 without requiring additional infrastructure.