As we continue our collective programming journey, building on the foundation of intermediate programming, we’re ready to venture into…
PySpark
PySpark is an interface for Apache Spark in Python. It allows to write Spark applications using Python and provides a PySpark shell for interactively analyzing data in a distributed environment. PySpark supports the complete Spark API, which consists of SparkSQL, Streaming & MLlib.
This section will discuss installation & configuration, general features, basic & advanced syntax, usage of the three components of the Spark API in JupyterLab & Databricks environments, hands-on, step-by-step demonstrations of data import & transformations, performance evaluations, and more.
Machine learning has revolutionized the way we approach problem-solving and decision-making. As a subset of artificial intelligence, it has…
As our world becomes more complex, programming has also grown in complexity; developing a deeper technical understanding to tackle…
- Series
- Computer Science, Data Science, Probability Theory & Statistics
- Haskell, Julia, PySpark, Python, R, Scala, SQL, VS Code
Data science has its roots in statistics, computer science, and data analysis in the 1960s. It has since evolved…