Working with Different Files as Data Sources in Python

Overview

Dive into the dynamic world of data with Python! This thrilling course empowers Data Engineers to master handling text, CSV, JSON, and large datasets, unleashing the power of efficient data manipulation, storage, and processing for cutting-edge applications.

Syllabus

Course 1: Fundamentals of Text Data Manipulation
Course 2: Parsing Table Data
Course 3: Hierarchical and Structured Data Formats
Course 4: Large Data Handling Techniques

Courses

0 reviews
1 hour
View details

Explore the basics of text data manipulation. Learn techniques to read and write files efficiently, delving into line-by-line and character-by-character parsing to build a strong foundation in handling textual data using Python.
0 reviews
1 hour
View details

Master parsing and writing techniques for scientific data using both TXT and CSV formats. This course provides practical skills for working with tabular data, ensuring you can manage various structured data files effectively.
0 reviews
1 hour
View details

Dive into JSON, XML, and scientific data storage. Discover how to parse, construct, and store structured data formats, leveraging Python's capabilities to manage complex datasets essential for data-driven applications.
0 reviews
1 hour
View details

Learn efficient techniques for managing large datasets. From compressed file management with `zipfile` and `tarfile`, to batch processing, this course equips you to handle data at scale.