link to epidatpy everywhere clients are mentioned

docs/api/client_libraries.md

@@ -9,7 +9,7 @@ nav_order: 1
 To access Delphi Epidata programmatically, we recommend our client libraries:
 
 - R: [epidatr](https://cmu-delphi.github.io/epidatr/),
-- Python: [delphi-epidata](https://pypi.org/project/delphi-epidata/) (soon to be replaced with [epidatpy](https://github.com/cmu-delphi/epidatpy)),
+- Python: [epidatpy](https://github.com/cmu-delphi/epidatpy) and [delphi-epidata](https://pypi.org/project/delphi-epidata/),
 - Javascript: [delphi-epidata](https://github.com/cmu-delphi/delphi-epidata/blob/master/src/client/delphi_epidata.js).
 
 For anyone looking for COVIDCast data, please visit our [COVIDCast API Client Libraries](covidcast_clients.md).
@@ -23,18 +23,41 @@ COVID-19 Surveillance Streams from Facebook Survey CLI for county 06001 and days
 Install [`epidatr` from CRAN](https://cran.r-project.org/package=epidatr)
 with `install.packages("epidatr")`.
 
-```R
+```r
 # Configure API key interactively, if needed. See
 # https://cmu-delphi.github.io/epidatr/articles/epidatr.html#api-keys for details.
 #save_api_key()
 library(epidatr)
-res <- pub_covidcast('fb-survey', 'smoothed_cli', 'county', 'day', geo_values = '06001',
+data <- pub_covidcast('fb-survey', 'smoothed_cli', 'county', 'day', geo_values = '06001',
                      time_values = c(20200401, 20200405:20200414))
-cat(res)
+cat(data)
 ```
 
 ### Python
 
+The `epidatpy` package will soon be [available on PyPI as `epidatpy`](https://pypi.org/project/epidatpy/).
+Meanwhile, it can be [installed from GitHub](https://github.com/cmu-delphi/epidatpy/) with
+`pip install "git+https://github.com/cmu-delphi/epidatpy.git#egg=epidatpy"`.
+
+```python
+# Configure API key, if needed.
+# https://github.com/cmu-delphi/epidatpy/blob/dev/docs/index.rst#api-keys
+
+from epidatpy import EpiDataContext, EpiRange
+
+# Create the client object.
+epidata = EpiDataContext()
+apicall = epidata.pub_covidcast(
+    data_source="jhu-csse",
+    signals="confirmed_cumulative_num",
+    geo_type="nation",
+    time_type="day",
+    geo_values="us",
+    time_values=EpiRange(20210405, 20210410),
+)
+print(apicall.df())
+```
+
 Install [`delphi-epidata` from PyPI](https://pypi.org/project/delphi-epidata/) with
 `pip install delphi-epidata`.
 

docs/api/covidcast.md

@@ -56,20 +56,27 @@ COVIDcast data. Once you install the appropriate client for your programming
 language, accessing data is as easy as, in [R](https://www.r-project.org/):
 
 ```r
-library(covidcast)
+library(epidatr)
 
-data <- covidcast_signal("fb-survey", "smoothed_cli", start_day = "2020-05-01",
-                         end_day = "2020-05-07")
+data <- pub_covidcast('fb-survey', 'smoothed_cli', 'county', 'day', geo_values = '06001',
+                     time_values = c(20200401, 20200405:20200414))
 ```
 
 or, in [Python](https://www.python.org):
 
 ```python
-import covidcast
-from datetime import date
-
-data = covidcast.signal("fb-survey", "smoothed_cli", date(2020, 5, 1), date(2020, 5, 7),
-                        "county")
+from epidatpy import EpiDataContext, EpiRange
+
+epidata = EpiDataContext()
+apicall = epidata.pub_covidcast(
+    data_source="fb-survey",
+    signals="smoothed_cli",
+    geo_type="county",
+    time_type="day",
+    geo_values="*",
+    time_values=EpiRange(20200501, 20200507),
+)
+data = apicall.df()
 ```
 
 [The API clients](covidcast_clients.md) have extensive documentation providing

docs/api/covidcast_clients.md

@@ -9,7 +9,7 @@ nav_order: 1
 To access COVIDcast data, we recommend using the following client libraries:
 
 - R: [epidatr](https://cmu-delphi.github.io/epidatr/)
-- Python: [covidcast](https://cmu-delphi.github.io/covidcast/covidcast-py/html/) (soon to be replaced with [epidatpy](https://github.com/cmu-delphi/epidatpy))
+- Python: [epidatpy](https://github.com/cmu-delphi/epidatpy) and [delphi-epidata](https://pypi.org/project/delphi-epidata/),
 
 These packages provide a convenient way to obtain COVIDcast data as a data frame
 ready to be used in further analyses and provide convenient mapping and analysis