Organizations, constraints, and projects

1. What is a project expediter and project coordinator.

A project expediter just record the status and not managing the project.

A project coordinator is like a expediter, except that coordinator typically report to a high-level managers and have some decision-making ability. expediter has no authority at all.

 

2. Functional organization.

a. Project team members always report to a functional manager who calls all the shots.

b. Project management decisions need to be cleared with functional managers.

c. Project managers are assistants to the functional managers in getting the work done.

d. Project managers spend a lot of time doing administrative tasks and often only work as PMs part

of the time.

e. You’re likely to find project expediters in functional organizations.

 

3. Weak matrix organization.

a. PMs have some authority but they aren’t in charge of the resources on a project.

b.  Major decisions still need to be made with the functional manager’s cooperation or approval.

c. Project expediters and project coordinators can work in weak matrix organizations, too.

 

4. Balanced matrix organization.

a. Project managers share authority with the functional managers.

b. PMs run their people‑management decisions by the functional manager, but the functional manager runs his project decisions by the PM, too.

c. Folks who work in a balanced matrix organization report to a PM AND a functional manager equally.

 

5. Strong matrix organization.

6. Projectized organization.

 

7. Stakeholder

Anyone who will be affected by the outcome of your project is a stakeholder.

 

8. Negative Stakeholder

 

9. Stakeholder Register

Very first thing when you start a project. Figure out who your stakeholders are and write down their goals and expectations.

### Externally Managed Environment in Python Virtual Environments or Package Management An externally managed environment refers to a setup where the dependencies and packages of a project are controlled by an external system, rather than being fully encapsulated within the local development environment. This approach is often used when integrating with larger systems that require centralized control over versions and configurations. In Python virtual environments, tools such as `venv` or `conda` can be configured to work alongside external dependency managers. For example, some organizations use artifact repositories like Nexus or Artifactory to store pre-approved libraries and enforce version constraints across teams[^1]. These setups ensure consistency between different stages (development, testing, production), reducing issues caused by mismatched library versions. When using pip for managing packages in these scenarios, one common practice involves specifying index URLs pointing to private PyPI servers hosted internally: ```bash pip install --extra-index-url http://internal-repo/simple my-package==0.1.0 ``` Alternatively, conda channels may also serve this purpose effectively through enterprise solutions provided by Anaconda Enterprise Edition[^2]: ```yaml channels: - internal-channel dependencies: - numpy=1.21.* ``` For projects requiring strict governance on configuration changes—such as those described under roles involving Configuration Managers—it becomes crucial to document all decisions regarding customizations made during integration milestones clearly. Such documentation supports traceability while facilitating collaboration among stakeholders mentioned earlier including but not limited to developers, testers, operations personnel etc.[^2]
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