diff --git a/Dockerfile b/Dockerfile
index 019d045c86..4ed2c048c2 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -19,8 +19,8 @@ RUN python -m pip install importlib-metadata==5.2.0
 RUN python -m pip install "cloudpickle<3"
 RUN python -m pip install scikit-learn==1.3.2
 
-RUN pip install cython packaging tables matplotlib statsmodels
+RUN python -m pip install cython packaging tables matplotlib statsmodels
 
-RUN python setup.py install
+RUN python -m pip install pyqlib
 
 EXPOSE 10050
diff --git a/README.md b/README.md
index 773eeaf39b..c827cba7cf 100644
--- a/README.md
+++ b/README.md
@@ -272,6 +272,25 @@ We recommend users to prepare their own data if they have a high-quality dataset
   ```
  -->
 
+## Build docker images
+Running `build_docker_image.sh` is the right choice when you want to create a docker image for qlib. Of course, before running it, please open this file and make some necessary changes according to your docker hub account.
+  ```bash
+    #!/bin/bash
+
+    # Build the Docker image
+    sudo docker build -t qlib_image -f ./Dockerfile .
+
+    # Log in to Docker Hub
+    # If you are a new docker hub user, please verify your email address before proceeding with this step.
+    sudo docker login
+
+    # Tag the Docker image
+    sudo docker tag qlib_image <Your docker hub username, not your email>/qlib_image:stable
+
+    # Push the Docker image to Docker Hub
+    sudo docker push <Your docker hub username, not your email>/qlib_image:stable
+  ```
+
 ## Auto Quant Research Workflow
 Qlib provides a tool named `qrun` to run the whole workflow automatically (including building dataset, training models, backtest and evaluation). You can start an auto quant research workflow and have a graphical reports analysis according to the following steps: 
 
diff --git a/build_docker_image.sh b/build_docker_image.sh
index 89429fe646..ecca14f1cc 100644
--- a/build_docker_image.sh
+++ b/build_docker_image.sh
@@ -4,10 +4,11 @@
 sudo docker build -t qlib_image -f ./Dockerfile .
 
 # Log in to Docker Hub
+# If you are a new docker hub user, please verify your email address before proceeding with this step.
 sudo docker login
 
 # Tag the Docker image
-sudo docker tag qlib_image linlanglv/qlib_image:stable
+sudo docker tag qlib_image <Your docker hub username, not your email>/qlib_image:stable
 
 # Push the Docker image to Docker Hub
-sudo docker push linlanglv/qlib_image:stable
+sudo docker push <Your docker hub username, not your email>/qlib_image:stable