Drop support for python 3.8

.github/meta.yaml

@@ -20,27 +20,27 @@ outputs:
     script: build_script.sh
     requirements:
       host:
-        - python >=3.8
+        - python >=3.9, <=3.11
         - pip
-        - setuptools ==58.0.4
+        - setuptools >=58.0.4
       run:
-        - numpy >=1.22.0
+        - numpy >=1.22.0 
         - pandas >=1.5.0, <2.1.0
         - dask >=2022.2.0, !=2022.10.1
         - scipy >=1.5.0, <1.12.0
-        - scikit-learn >=1.3.0
+        - scikit-learn >=1.3.2
         - scikit-optimize >=0.9.0
         - statsmodels >=0.12.2
         - colorama >=0.4.4
         - cloudpickle >=1.5.0
-        - click>=8.0.0
+        - click >=8.0.0
         - shap >=0.42.0, <0.45.0
         - texttable >=1.6.2
         - woodwork >=0.22.0
-        - featuretools>=1.16.0
-        - nlp-primitives>=2.9.0
-        - python >=3.8.*
-        - networkx >=2.6, <3.2
+        - featuretools >=1.16.0
+        - nlp-primitives >=2.9.0
+        - python >=3.9.*
+        - networkx >=2.7
         - category_encoders >=2.2.2, <=2.5.1.post0
         - python-graphviz >=0.13
         - tomli >=2.0.1
@@ -52,8 +52,8 @@ outputs:
       imports:
         - evalml
       requires:
-        - pytest ==6.0.1
-        - nbval ==0.9.3
+        - pytest ==6.2.5
+        - nbval >=0.9.3
       source_files:
         - evalml/*
         - pyproject.toml
@@ -77,7 +77,7 @@ outputs:
         - catboost >=1.1.1
         - lightgbm >=4.0.0
         - lime >=0.2.0.1
-        - python >=3.8.*
+        - python >=3.9.*, <=3.11
         - imbalanced-learn >=0.11.0
         - sktime >=0.21.0, <0.29.0
         - pmdarima >=1.8.5
@@ -86,8 +86,8 @@ outputs:
       imports:
         - evalml
       requires:
-        - pytest ==6.0.1
-        - nbval ==0.9.3
+        - pytest ==6.2.5
+        - nbval >=0.9.3
         - python-graphviz >=0.8.4
         - category_encoders >=2.0.0, <=2.5.1.post0
         - pytest-xdist
@@ -110,13 +110,11 @@ about:
 
 extra:
   recipe-maintainers:
-    - dsherry
     - ParthivNaresh
     - bchen1116
     - chukarsten
     - jeremyliweishih
     - christopherbunn
-    - fjlanasa
     - eccabay
     - MichaelFu512
     - ivanayx

.github/workflows/build_conda_pkg.yaml

@@ -15,10 +15,10 @@ jobs:
   build_conda_pkg:
     runs-on: ubuntu-latest
     steps:
-      - name: Set up Python 3.8
+      - name: Set up Python 3.9
         uses: actions/setup-python@v4
         with:
-          python-version: 3.8
+          python-version: 3.9
       - name: Checkout repository
         uses: actions/checkout@v3
         with:

.github/workflows/check_conda_pkg_versions.yaml

@@ -14,10 +14,10 @@ jobs:
   check_versions:
     runs-on: ubuntu-latest
     steps:
-      - name: Set up Python 3.8
+      - name: Set up Python 3.9
         uses: actions/setup-python@v4
         with:
-          python-version: 3.8
+          python-version: 3.9
       - name: Checkout repository
         uses: actions/checkout@v3
         with:

.github/workflows/detect_changes.yaml

@@ -11,7 +11,7 @@ jobs:
       - uses: actions/checkout@v3
       - uses: actions/setup-python@v1
         with:
-          python-version: '3.8.x'
+          python-version: '3.9.x'
       - name: Install Dependencies
         run: |
           make installdeps-test

.github/workflows/install_test.yaml

@@ -15,7 +15,7 @@ jobs:
       fail-fast: false
       matrix:
         os: [ubuntu-latest, macos-latest]
-        python_version: ["3.8", "3.9", "3.10"]
+        python_version: ["3.9", "3.10", "3.11"]
         exclude: 
           - os: macos-latest
             python-version: "3.8"

.github/workflows/latest_dependency_checker.yaml

@@ -11,7 +11,7 @@ jobs:
       - uses: actions/checkout@v3
       - uses: actions/setup-python@v1
         with:
-          python-version: '3.8.x'
+          python-version: '3.9.x'
       - name: Update dependencies
         id: vars
         run: |

.github/workflows/lint_tests.yaml

@@ -11,7 +11,7 @@ jobs:
     runs-on: ubuntu-latest
     strategy:
       matrix:
-        python_version: ["3.9"]
+        python_version: ["3.9", "3.10"]
     steps:
       - name: Checkout repository
         uses: actions/checkout@v3

.github/workflows/linux_integration_tests.yaml

@@ -15,7 +15,7 @@ jobs:
       fail-fast: false
       matrix:
         include:
-          - python_version: "3.8"
+          - python_version: "3.9"
             command: 'git-test-integration'
 
     steps:

.github/workflows/linux_nightlies.yaml

@@ -12,7 +12,7 @@ jobs:
     strategy:
       fail-fast: false
       matrix:
-        python_version: ['3.8', '3.9']
+        python_version: ['3.9']
         command: ['git-test-automl', 'git-test-modelunderstanding', 'git-test-other', 'git-test-parallel', 'git-test-prophet']
     steps:
       - name: Set up Python ${{ matrix.python_version }}

.github/workflows/linux_unit_tests_with_latest_deps.yaml

@@ -17,15 +17,13 @@ jobs:
         include:
           - python_version: "3.9"
             command: 'git-test-automl'
-          - python_version: "3.8"
-            command: 'git-test-automl'
-          - python_version: "3.8"
+          - python_version: "3.9"
             command: 'git-test-prophet'
-          - python_version: "3.8"
+          - python_version: "3.9"
             command: 'git-test-modelunderstanding'
-          - python_version: "3.8"
+          - python_version: "3.9"
             command: 'git-test-other'
-          - python_version: "3.8"
+          - python_version: "3.9"
             command: 'git-test-parallel'
     steps:
       - name: Set up Python ${{ matrix.python_version }}

.github/workflows/linux_unit_tests_with_minimum_deps.yaml

@@ -13,7 +13,7 @@ jobs:
     strategy:
       fail-fast: false
       matrix:
-        python_version: ['3.8']
+        python_version: ['3.9']
         command: ['git-test-automl', 'git-test-modelunderstanding', 'git-test-other', 'git-test-parallel', 'git-test-prophet']
     steps:
       - name: Set up Python ${{ matrix.python_version }}

.github/workflows/unit_tests_with_featuretools_main_branch.yaml

@@ -9,7 +9,7 @@ jobs:
     strategy:
       fail-fast: true
       matrix:
-        python_version: ["3.8", "3.9"]
+        python_version: ["3.9", "3.10", "3.11"]
         libraries: ["core"]
     steps:
       - name: Set up python ${{ matrix.python_version }}

.github/workflows/unit_tests_with_woodwork_main_branch.yaml

@@ -9,7 +9,7 @@ jobs:
     strategy:
       fail-fast: true
       matrix:
-        python_version: ["3.8", "3.9"]
+        python_version: ["3.9", "3.10", "3.11"]
         libraries: ["core"]
     steps:
       - name: Set up python ${{ matrix.python_version }}

.github/workflows/windows_nightlies.yaml

@@ -12,7 +12,7 @@ jobs:
     strategy:
       fail-fast: false
       matrix:
-        python_version: ['3.8']
+        python_version: ['3.9', '3.10', '3.11']
         command: ['git-test-automl', 'git-test-modelunderstanding', 'git-test-other', 'git-test-parallel', 'git-test-prophet']
     steps:
       - name: Download Miniconda
@@ -51,7 +51,7 @@ jobs:
           . $env:USERPROFILE\Miniconda3\shell\condabin\conda-hook.ps1
           conda activate curr_py
           conda config --add channels conda-forge
-          conda install -q -y -c conda-forge python-graphviz graphviz
+          conda install -q -y -c conda-forge python-graphviz graphviz=9.0.0 pango=1.52.2
       - name: Install numba (for shap)
         run: |
           . $env:USERPROFILE\Miniconda3\shell\condabin\conda-hook.ps1

.github/workflows/windows_unit_tests.yaml

@@ -14,7 +14,7 @@ jobs:
     strategy:
       fail-fast: false
       matrix:
-        python_version: ['3.8']
+        python_version: ['3.9']
         command: ['git-test-automl', 'git-test-modelunderstanding', 'git-test-other', 'git-test-parallel', 'git-test-prophet']
     steps:
       - name: Download Miniconda
@@ -53,7 +53,7 @@ jobs:
           . $env:USERPROFILE\Miniconda3\shell\condabin\conda-hook.ps1
           conda activate curr_py
           conda config --add channels conda-forge
-          conda install -q -y -c conda-forge python-graphviz graphviz
+          conda install -q -y -c conda-forge python-graphviz graphviz=9.0.0 pango=1.52.2
       - name: Install numba (for shap)
         run: |
           . $env:USERPROFILE\Miniconda3\shell\condabin\conda-hook.ps1

.readthedocs.yaml

@@ -7,7 +7,7 @@ version: 2
 build:
   os: ubuntu-22.04
   tools:
-    python: "3.8"
+    python: "3.9"
   apt_packages:
     - graphviz
 

contributing.md

@@ -11,7 +11,7 @@ We currently utilize GitHub Issues as our project management tool for EvalML. Pl
 
 
 #### 1. Clone repo
-The code is hosted on GitHub, so you will need to use Git to clone the project and make changes to the codebase. Once you have obtained a copy of the code, you should create a development environment that is separate from your existing Python environment so that you can make and test changes without compromising your own work environment. Additionally, you must make sure that the version of Python you use is at least 3.8. Using `conda` you can use `conda create -n evalml python=3.8` and `conda activate evalml` before the following steps.
+The code is hosted on GitHub, so you will need to use Git to clone the project and make changes to the codebase. Once you have obtained a copy of the code, you should create a development environment that is separate from your existing Python environment so that you can make and test changes without compromising your own work environment. Additionally, you must make sure that the version of Python you use is at least 3.9. Using `conda` you can use `conda create -n evalml python=3.9` and `conda activate evalml` before the following steps.
 * clone with `git clone https://github.com/alteryx/evalml.git`
 * install in edit mode with:
     ```bash
@@ -23,7 +23,7 @@ The code is hosted on GitHub, so you will need to use Git to clone the project a
 
 Note that if you're on Mac, there are a few extra steps you'll want to keep track of.
 * In order to run on Mac, [LightGBM requires the OpenMP library to be installed](https://evalml.alteryx.com/en/stable/install.html#Mac), which can be done with HomeBrew by running `brew install libomp`
-* We've seen some installs get the following warning when importing evalml: "UserWarning: Could not import the lzma module. Your installed Python is incomplete. Attempting to use lzma compression will result in a RuntimeError". [A known workaround](https://stackoverflow.com/a/61531555/841003) is to run `brew reinstall readline xz` before installing the python version you're using via pyenv. If you've already installed a python version in pyenv, consider deleting it and reinstalling. v3.8.2 is known to work.
+* We've seen some installs get the following warning when importing evalml: "UserWarning: Could not import the lzma module. Your installed Python is incomplete. Attempting to use lzma compression will result in a RuntimeError". [A known workaround](https://stackoverflow.com/a/61531555/841003) is to run `brew reinstall readline xz` before installing the python version you're using via pyenv. If you've already installed a python version in pyenv, consider deleting it and reinstalling. v3.9.2 is known to work.
 
 #### 2. Implement your Pull Request
 

core-requirements.txt

@@ -1,7 +1,7 @@
 numpy>=1.21.0
 pandas>=1.5.0, <2.1.0
 scipy>=1.5.0, <1.12.0
-scikit-learn>=1.3.0
+scikit-learn>=1.3.2
 scikit-optimize>=0.9.0
 pyzmq>=20.0.0
 colorama>=0.4.4
@@ -14,4 +14,4 @@ woodwork>= 0.21.1
 dask>=2022.2.0, !=2022.10.1
 nlp-primitives>=2.9.0
 featuretools>=1.16.0
-networkx>=2.6, <3.2
+networkx>=2.7

docs/notebook_version_standardizer.py

@@ -13,7 +13,7 @@ def _get_python_version(notebook):
     return version
 
 
-def _standardize_python_version(notebook, desired_version="3.8.6"):
+def _standardize_python_version(notebook, desired_version="3.9.6"):
     with open(notebook, "r") as f:
         source = json.load(f)
         source["metadata"]["language_info"]["version"] = desired_version
@@ -32,7 +32,7 @@ def _get_ipython_notebooks(docs_source):
     return notebooks
 
 
-def _get_notebooks_with_different_versions(notebooks, desired_version="3.8.6"):
+def _get_notebooks_with_different_versions(notebooks, desired_version="3.9.6"):
     different_versions = []
     for notebook in notebooks:
         version = _get_python_version(notebook)
@@ -41,7 +41,7 @@ def _get_notebooks_with_different_versions(notebooks, desired_version="3.8.6"):
     return different_versions
 
 
-def _standardize_versions(notebooks, desired_version="3.8.6"):
+def _standardize_versions(notebooks, desired_version="3.9.6"):
     for notebook in notebooks:
         _standardize_python_version(notebook, desired_version)
 
@@ -115,7 +115,7 @@ def cli():
 @cli.command()
 @click.option(
     "--desired-version",
-    default="3.8.6",
+    default="3.9.6",
     help="python version that all notebooks should match",
 )
 def check_versions(desired_version):
@@ -136,7 +136,7 @@ def check_versions(desired_version):
 @cli.command()
 @click.option(
     "--desired-version",
-    default="3.8.6",
+    default="3.9.6",
     help="python version that all notebooks should match",
 )
 def standardize(desired_version):

docs/source/demos/cost_benefit_matrix.ipynb

@@ -284,7 +284,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.8.6"
+   "version": "3.9.6"
   }
  },
  "nbformat": 4,

docs/source/demos/fraud.ipynb

@@ -305,7 +305,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.8.6"
+   "version": "3.9.6"
   }
  },
  "nbformat": 4,

docs/source/demos/lead_scoring.ipynb

@@ -356,7 +356,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.8.6"
+   "version": "3.9.6"
   }
  },
  "nbformat": 4,

docs/source/demos/text_input.ipynb

@@ -467,7 +467,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.8.6"
+   "version": "3.9.6"
   }
  },
  "nbformat": 4,

docs/source/index.ipynb

@@ -101,7 +101,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.8.6"
+   "version": "3.9.6"
   }
  },
  "nbformat": 4,

docs/source/install.md

@@ -13,7 +13,7 @@ kernelspec:
 
 # Install
 
-EvalML is available for Python 3.8 and 3.9. It can be installed from [pypi](https://pypi.org/project/evalml/), [conda-forge](https://anaconda.org/conda-forge/evalml), or from [source](https://github.com/alteryx/evalml).
+EvalML is available for Python 3.9 - 3.11. It can be installed from [pypi](https://pypi.org/project/evalml/), [conda-forge](https://anaconda.org/conda-forge/evalml), or from [source](https://github.com/alteryx/evalml).
 
 To install EvalML on your platform, run one of the following commands:
 
@@ -110,6 +110,9 @@ If you are using `pip` to install EvalML on Windows, it is recommended you first
 
 The [XGBoost](https://pypi.org/project/xgboost/) library may not be pip-installable in some Windows environments. If you are encountering installation issues, please try installing XGBoost from [Github](https://xgboost.readthedocs.io/en/latest/build.html) before installing EvalML or install evalml with conda.
 
+Note: there are two graphviz, `python-graphviz` and `graphviz`. If you run into issues, ensure that `python-graphviz` version is >= 0.20.3. If there are still
+issues related to `graphviz`, you can try `conda install -c conda-forge graphviz` where `graphviz` version >= 9.0.0
+
 ## Mac Additional Requirements & Troubleshooting
 
 In order to run on Mac, [LightGBM](https://pypi.org/project/lightgbm/) requires the `OpenMP` library to be installed, which can be done with [HomeBrew](https://brew.sh/) by running: