Udemy - Python: Coding Guideline, Tooling, Unit Testing and Packages

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Python Coding Guideline, Tooling, Unit Testing and Packages [TutsNode.com] - Python Coding Guideline, Tooling, Unit Testing and Packages 3. Chapter 3 Debugging, Unit-Testing and Timing
  • 2. Timing.mp4 (161.4 MB)
  • 1.1 vector.py (6.4 KB)
  • 2.2 vector.py (6.4 KB)
  • 3.2 vector.py (6.4 KB)
  • 4.2 vector.py (6.4 KB)
  • 4.1 test_vector.py (1.5 KB)
  • 3.1 profiling.py (1.0 KB)
  • 2.1 timing.py (0.8 KB)
  • 1.2 test.py (0.4 KB)
  • 5. Debugging, Unit-Testing and Timing.html (0.2 KB)
  • 1. Debugging in VS Code.mp4 (144.8 MB)
  • 4. Unit-Testing.mp4 (128.4 MB)
  • 3. Profiling.mp4 (87.8 MB)
4. Chapter 4 Packaging
  • 3.1 2_Packaging.zip (478.5 KB)
  • 6. Install Make and Git.html (0.7 KB)
  • 5. Modules and Packages.html (0.2 KB)
  • 4.1 3_HTML_Doc.zip (175.1 KB)
  • 3. Package for our Vector Class.mp4 (153.0 MB)
  • 2.1 1_Packaging_2.zip (167.6 KB)
  • 1.1 1_Packaging_1.zip (164.3 KB)
  • 7.1 4_ImprovedStructure.zip (423.9 KB)
  • 12. Github Workflows and Pre-Commit.mp4 (117.8 MB)
  • 8.1 4_ImprovedStructure.zip (423.9 KB)
  • 9.1 4_ImprovedStructure.zip (423.9 KB)
  • 4. HTML Documentation with Mkdocs.mp4 (81.6 MB)
  • 9. More to Unit-Tests.mp4 (79.8 MB)
  • 12.1 4_ImprovedStructure.zip (423.9 KB)
  • 11.1 4_ImprovedStructure.zip (423.9 KB)
  • 8. Makefile and Requirements.mp4 (70.5 MB)
  • 10.1 4_ImprovedStructure.zip (423.9 KB)
  • 7. Github Repository and GitHub Pages.mp4 (66.7 MB)
  • 2. Modules and Packages - Part 2.mp4 (65.1 MB)
  • 1. Modules and Packages - Part 1.mp4 (63.1 MB)
  • 11. Code Coverage.mp4 (59.7 MB)
  • 10. Python Test Explorer.mp4 (27.8 MB)
2. Chapter 2 Coding Guidelines and Docstrings
  • 20.4 .pylintrc (18.4 KB)
  • 5.1 .pylintrc (18.4 KB)
  • 16.1 vector_type_annotations.py (6.4 KB)
  • 2.1 example.py (0.4 KB)
  • 3. PEP8 Guidelines.html (0.2 KB)
  • 4.1 test_pylint.py (2.4 KB)
  • 14.2 test_pydocstyle.py (6.4 KB)
  • 13.1 vector_google_style.py (5.8 KB)
  • 6.1 .flake8 (0.1 KB)
  • 6.2 test_flake8.py (2.4 KB)
  • 11.1 vector_numpy_style.py (2.9 KB)
  • 7.1 .isort.cfg (0.9 KB)
  • 7.2 test_isort.py (0.2 KB)
  • 12.1 vector_rest_style.py (2.8 KB)
  • 8.1 test_autopep8.py (2.4 KB)
  • 9.1 test_black.py (2.4 KB)
  • 10. Linter and Formatter.html (0.2 KB)
  • 18.1 more_to_type_annotations2.py (1.4 KB)
  • 20.1 .isort.cfg (0.9 KB)
  • 17.1 more_to_type_annotations.py (0.8 KB)
  • 14.1 .pydocstyle (0.1 KB)
  • 15. Docstrings.html (0.2 KB)
  • 20.2 .mypy.ini (0.2 KB)
  • 19. Type Annotations und Mypy.html (0.2 KB)
  • 20.5 .flake8 (0.1 KB)
  • 20.3 .pydocstyle (0.1 KB)
  • 5. Code Linter Pylint - Part 2.mp4 (153.7 MB)
  • 17. Type Annotations and Mypy - Part 2.mp4 (128.8 MB)
  • 4. Code Linter Pylint - Part 1.mp4 (120.7 MB)
  • 7. Tool isort.mp4 (117.5 MB)
  • 16. Type Annotations and Mypy - Part 1.mp4 (102.6 MB)
  • 1. PEP8 Coding Guidelines - Part 1.mp4 (100.9 MB)
  • 6. Code Linter Flake8.mp4 (94.7 MB)
  • 18. Type Annotations and Mypy - Part 3.mp4 (82.6 MB)
  • 14. Code Linter Pydocstyle.mp4 (72.0 MB)
  • 11. Docstring Numpy Style.mp4 (66.5 MB)
  • 8. Formatter Autopep8.mp4 (63.6 MB)
  • 2. PEP8 Coding Guidelines - Part 2.mp4 (61.2 MB)
  • 9. Formatter Black.mp4 (61.1 MB)
  • 21. Setup the tools in vscode.mp4 (41.3 MB)
  • 20. Config files for the tools.mp4 (41.0 MB)
  • 12. Docstring ReST (Sphinx) Style.mp4 (32.9 MB)
  • 13. Docstring Google Style.mp4 (27.9 MB)
1. Chapter 1 Introduction and Software
  • 3. Note Materials and Software.html (1.5 KB)
  • 5. Setup Visual Studio Code.mp4 (92.3 MB)
  • 4. Setup the Python Environment.mp4 (58.7 MB)
  • 1. Introduction to the course.mp4 (21.1 MB)
  • 2. Course manual.mp4 (20.5 MB)
5. Chapter 5 Course conclusion
  • 1. Course conclusion.mp4 (12.0 MB)
  • TutsNode.com.txt (0.1 KB)
  • [TGx]Downloaded from torrentgalaxy.to .txt (0.6 KB)
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Description


Description

Course description:

The course covers intermediate and advanced Python programming techniques.
This means that the course is not intended for programming beginners.
However, you do not have to be a senior software engineer, you just should know about the basics in Python.

Requirements:

❗ Variables and primitive data types
❗ Boolean logic and conditions/comparisons
❗ Wiriting own and using extern functions and classes
❗ Working with pip and external packages (importing)
❗ Python installed on your computer (for example with Anaconda)

The Course covers the following Topics:

☑️ Creating a Python environment tailored for the course (virtualenv or anaconda env)
☑️ Installing and setting up the most used Python IDE: Visual Studio Code (vscode)
☑️ The coding guidelines and good practice programming (PEP8)
☑️ The usage of Pylint, Flake8, Autopep8, Black and Pydocstyle
☑️ Different docstring styles for your code (sphinx, numpy and google)
☑️ The usage of type annotations and the static type checker MyPy
☑️ The usage of debugging, profiling, execution time measuring (timing) and unit testing (TDD)
☑️ The creation of own Python packages that can be uploaded to PyPi
☑️ The creation of a modern HTML documentation with mkdocs and google docstrings
☑️ The usage of continouos integration tools (github actions for testing and codedoc)

Step ahead in your Python career an join this course!
I hope will see you there ✌
Who this course is for:

(Junior) Python developer who want to master the language

Requirements

Be able to work with your operating system and the terminal
You should know the Python basics (Variables, Functions, Classes etc.)

Last Updated 1/2021



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Udemy - Python: Coding Guideline, Tooling, Unit Testing and Packages


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Udemy - Python: Coding Guideline, Tooling, Unit Testing and Packages


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