Google Colab for data science & AI using Python.

Format:

Video

Contributor:

Nednur, Anand Rao, instructor.

Packt Publishing, publisher.

Language:

English

Subjects (All):

Natural language processing (Computer science).

Python (Computer program language).

Electronic data processing.

Physical Description:

1 online resource (1 video file (19 hr., 24 min.)) : sound, color.

Edition:

[First edition].

Place of Publication:

[Birmingham, United Kingdom] : Packt Publishing, [2025]

Summary:

This course begins by exploring Python's origins and its rise as one of the most popular programming languages. The course covers the key factors behind Python's success, such as its simplicity, versatility, and active community. After covering the basics, you'll dive into practical Python programming using Google Colab, a cloud-based tool that allows you to code without installing anything locally. As you progress, you'll explore various programming paradigms, including procedural, object-oriented programming (OOP), and functional programming, supported by real-world examples. Key Python concepts like variables, data types, functions, and control flow will be covered. You'll also learn to work with advanced data structures like lists, tuples, dictionaries, and sets, helping you manage complex data. Additionally, you'll dive into data analysis and create visualizations using libraries like Pandas, NumPy, Matplotlib, and Seaborn. The course continues with advanced topics, including OOP principles, file handling, exception management, and API integration. You'll also explore Python's capabilities for data analysis and interactive data visualization using Plotly. Whether you're automating tasks, analyzing data, or building web apps, this course equips you with the skills needed for real-world Python projects.

Notes:

OCLC-licensed vendor bibliographic record.

ISBN:

1-80611-287-6

OCLC:

1521194012