Learning in Public : Starting a new journey

Learning in Public : Starting a new journey

Why Learn in Public?

Learning in public is more than just sharing your knowledge. It's a powerful tool for:

  • Accountability: The commitment to share your progress keeps you motivated.

  • Community: Connecting with others who are on the same journey.

  • Feedback: Getting valuable insights and suggestions from peers.

My Journey I've chosen to document my learning journey on Hashnode, starting with Python, then moving on to Cloud Computing, and finally delving into Data Engineering.

Python: The Foundation

Why Python? Python's simplicity, versatility, and a vast community make it an excellent starting point.

My Learning Path

  • Fundamentals: Mastering data types, control flow, functions, and modules.

  • Projects: Building small applications like:

    • A simple calculator

    • A text-based adventure game

    • A web scraper

  • Libraries: Exploring popular libraries like NumPy, Pandas, and Matplotlib.

Cloud Computing: Building the Infrastructure

Why Cloud? The cloud offers scalable, flexible, and cost-effective solutions for modern applications.

My Learning Path

  • AWS/GCP/Azure: Choosing a cloud provider and understanding its core services.

  • Virtual Machines: Creating and managing instances for different workloads.

  • Storage: Exploring options like S3, EBS, and Cloud Storage.

  • Networking: Building and configuring networks for connectivity.

  • Serverless Computing: Using Lambda functions and Cloud Functions.

Data Engineering: Transforming Raw Data

Why Data Engineering? Data is the new oil, and data engineers play a crucial role in extracting its value.

My Learning Path

  • Data Warehousing: Understanding concepts like ETL, data marts, and data lakes.

  • Data Pipelines: Building automated workflows using tools like Apache Airflow.

  • Databases: Working with relational databases (SQL) and NoSQL databases (MongoDB, Cassandra).

  • Data Quality: Ensuring data accuracy, completeness, and consistency.

  • Big Data: Exploring frameworks like Hadoop and Spark for processing large datasets.

This is just the beginning of my learning journey. I'm excited to continue exploring these technologies and sharing my experiences with the Hashnode community.

Join me on my journey! Feel free to leave comments, ask questions, or share your own learning experiences. Let's grow together!

#learninginpublic #python #cloudcomputing #dataengineering #hashnode