Skill Guide

Basic Python/JavaScript for Scripting and APIs

The ability to write functional, maintainable code in Python or JavaScript to automate tasks, process data, and interact with web services via their Application Programming Interfaces (APIs).

This skill automates manual, repetitive processes, directly reducing operational costs and human error. It enables employees to directly integrate disparate data sources and tools, accelerating data-driven decision-making and unlocking new product capabilities without heavy engineering dependency.

1 Careers

1 Categories

8.5 Avg Demand

20% Avg AI Risk

How to Learn Basic Python/JavaScript for Scripting and APIs

1. Core Syntax & Data Structures: Master variables, loops, conditionals, and basic data types (lists/dicts in Python, arrays/objects in JS). 2. Functions & Modules: Learn to write reusable functions and import standard libraries. 3. Basic I/O: Read from/write to local files (e.g., CSV, JSON) and understand HTTP concepts (GET/POST).

1. API Interaction: Use libraries like `requests` (Python) or `fetch`/`axios` (JS) to call REST APIs, handle authentication (API keys, OAuth), and parse JSON responses. 2. Error Handling & Debugging: Implement try/except blocks and use debugging tools. 3. Common Patterns: Script scheduling (cron), working with environment variables, and parsing HTML/XML. Avoid hardcoding credentials and neglecting error handling.

1. System Design: Architect multi-step data pipelines, implement retry logic, rate limiting, and idempotency for robust API integrations. 2. Code Quality & Deployment: Write modular, tested code; containerize scripts with Docker; deploy to serverless platforms (AWS Lambda, Google Cloud Functions). 3. Mentorship & Patterns: Establish team coding standards, create reusable template libraries, and optimize script performance and cost.

Practice Projects

Beginner

Project

Automated Weather Report Generator

Scenario

Create a script that fetches the current weather for a list of cities from a free public API (e.g., OpenWeatherMap) and saves a summary report to a text file or CSV.

How to Execute

1. Sign up for a free API key from OpenWeatherMap. 2. Write a Python script using the `requests` library to query the API endpoint for each city. 3. Parse the JSON response to extract temperature, conditions, and humidity. 4. Format and write the data to a local file with a timestamp.

Intermediate

Project

Internal Tool: Slack Notification for New GitHub Issues

Scenario

Build a script that monitors a specific GitHub repository for new issues and sends a formatted alert to a designated Slack channel via its webhook API.

How to Execute

1. Use the GitHub REST API (`/repos/{owner}/{repo}/issues`) with authentication to poll for recent issues. 2. Filter issues created since the script's last run (store state in a local JSON file or database). 3. Construct a Slack Block Kit message payload with issue title, author, and link. 4. Send the payload to the Slack Incoming Webhook URL using a POST request. 5. Schedule the script to run every 15 minutes using a cron job.

Advanced

Project

Cross-Platform Data Sync & Reconciliation Service

Scenario

Design and deploy a serverless function that synchronizes customer data between a CRM (e.g., Salesforce) and an ERP system (e.g., NetSuite) nightly, handling conflicts and generating audit logs.

How to Execute

1. Architect the flow using two functions: one to extract and diff records, another to apply changes. 2. Implement OAuth2 authentication flows for both SaaS platforms. 3. Use a cloud database (e.g., DynamoDB) to track record versions and sync state. 4. Build logic for conflict resolution (e.g., last-write-wins or manual review flags). 5. Containerize the function and deploy to AWS Lambda with scheduled CloudWatch events. 6. Implement comprehensive logging and error alerting to a monitoring dashboard.

Tools & Frameworks

Software & Platforms

Python `requests` & `json` librariesJavaScript `fetch` / `axios`Postman / Insomnia (API Clients)DockerAWS Lambda / Google Cloud Functions

`requests`/`fetch` are for core HTTP interactions. Postman/Insomnia are essential for testing and debugging API calls before scripting. Docker ensures script portability. Serverless platforms are for deploying and scaling scripts as functions.

Development & Operations

Git & GitHub/GitLabVS Code (with extensions: Pylance, ESLint)Cron / Windows Task SchedulerEnvironment Managers (venv, pipenv)

Git is non-negotiable for version control. VS Code is the primary IDE. Cron/schedulers automate script execution. Environment managers isolate project dependencies to prevent conflicts.

Interview Questions

Answer Strategy

The interviewer is testing your understanding of control flow, error handling, and practical API consumption. Use the following structure: 1. Explain the loop structure (while loop until no 'next' page). 2. Show the core request inside a try/except block with a retry mechanism (e.g., exponential backoff). 3. Demonstrate collecting results into a master list. Sample answer: 'I'd use a while loop with a `next_page_url` variable. Inside, I'd wrap the `requests.get()` call in a try/except for `ConnectionError`, implementing a retry with `time.sleep()` on failure. I'd append the data from each page to a `all_records` list until the API's response contains no next link.'

Answer Strategy

This behavioral question assesses your ability to connect technical skill to business value. Use the STAR (Situation, Task, Action, Result) method. Focus on metrics. Sample answer: 'In my previous role (Situation), the marketing team spent ~5 hours weekly manually exporting Google Ads data into a report (Task). I built a Python script using the Google Ads API to automatically pull performance metrics every Monday, process them, and email a formatted PDF report (Action). This eliminated the manual work, saving 20+ hours monthly, and reduced reporting errors to zero (Result).'