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Tutorials

RxJS Masterclass

DownTR.CC 03 October 2020 171 0

RxJS Masterclass
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 35 Lessons (2h 49m) | Size: 495 MB
Supercharge your reactive skills with this advanced RxJS course on best practices and patterns.

Tutorials

Python Programming Efficiently (2020)

DownTR.CC 03 October 2020 186 0

Python Programming Efficiently (2020)
Duration: 2h 19m | MP4 | Video: AVC, 1280x720 30 fps | Audio: AAC, 48 KHz, 2 Ch | Size: 437 MB
Skill Level: Intermediate | Genre: eLearning | Language: English + Subtitles
Cut down on your development time by learning how to write elegant code in an efficient manner, specifically in Python-the popular and pragmatic computer language. Michele Vallisneri explains how to make your Python code more expressive and concise, and leverage the most powerful features of the language. He shines a spotlight on some of the strongest third-party packages you can take advantage of, discusses object-oriented and functional programming, and shares strategies for improving the performance of your code. Michele illustrates these concepts with many intriguing examples, showing how to make 3D images and animations of the sun, draw fractals, implement a graphical programming language, and more.

Tutorials

Python Functions for Data Science

DownTR.CC 03 October 2020 230 0

Python Functions for Data Science
Duration: 1h 30m | MP4 | Video: AVC, 1280x720 30 fps | Audio: AAC, 48 KHz, 2 Ch | Size: 216 MB
Skill Level: Intermediate | Genre: eLearning | Language: English + Subtitles
Functions are a core building block of programming and working with data and an essential approach to making code more readable and reusable. In this course, discover how to save time and enhance your code using common functions for data science projects. Explore fundamental built-in Python functions for data science, as well as more advanced built-in functions such as the filter function in Python. Learn how to leverage functions from the NumPy and SciPy libraries to manipulate numerical data and perform statistical operations. Learn how to store, modify, and group data efficiently using functions from the pandas library. Get tips on using functions from the MatDescriptionlib and Seaborn libraries for data visualization. Plus, get insights into common pitfalls and mistakes developers make when using functions as part of a data science initiative.