EPS | 843 KB

KEY | 188 MB

PPTX | KEY | PPT | 9.7 MB

Learn how to analyze SQL Server data with Python. Database expert Adam Wilbert shows how to use a powerful combination of tools, including high-performance Python libraries and the Machine Learning Services add-on, directly inside SQL Server to streamline analysis. Adam shows how to use Python scripts to perform statistical analysis, generate graphics such as scatterplots and bar charts, and process tabular data. He also explains how to turn a Python script into a stored procedure and set up standalone ML services to execute scripts without impacting SQL Server performance.

Cosmetic pencil mockups Premium Psd

JPG|PSD

EPS | 5.9 MB

CS6, CS5.5, CS5 | 1920x1080 | No Plugins Required | 681mb

CS4, CS5, CS5.5, CS6 | 1280x720 | No Plugins Required | 111.735mb

CS4, CS5, CS5.5, CS6 | 1280x720 | No Plugins Required | 112.456mb

CS4, CS5, CS5.5, CS6 | 1280x720 | No Plugins Required | 152.774mb

CS6, CS5.5, CS5 | 1920x1080 | No Plugins Required | 535mb

CS6, CS5.5, CS5, CS4 | 1280x720 | No Plugins Required | 180.411mb

CS4, CS5, CS5.5 | 1280x720 | No Plugins Required | 98.691mb

CS5, CS4 | 1280x720 | No Plugins Required | 113.546mb

CS4, CS5, CS5.5, CS6 | 1920x1080 | No Plugins Required | 192.338mb

CS6, CS5.5, CS5, CS4 | 1920x1080 | No Plugins Required | 330.978mb

CS6, CS5.5, CS5, CS4 | 1280x720 | No Plugins Required | 140.835mb

The creative process isn't just "generating ideas." The reality is it's a five-step process, and ideation is only one of those steps. The entire creative process is made up of objective finding, data gathering, problem design, ideation, and selection. Understanding the role of each step enables us to ensure that we generate the most effective solutions. In this course, Stefan Mumaw guides us through the five steps and then shows us what the complete process looks like, with a real-world project: designing a website.

Data science is transforming the way that government and industry leaders look at both specific problems and the world at large. Curious about how data analysis actually works in practice? In this course, instructor Michele Vallisneri shows you how, explaining what it takes to get started with data science using Python.Michele demonstrates how to set up your analysis environment and provides a refresher on the basics of working with data structures in Python. Then, he jumps into the big stuff: the power of arrays, indexing, and tables in NumPy and pandas—two popular third-party packages designed specifically for data analysis. He also walks through two sample big-data projects: using NumPy to identify and visualize weather patterns and using pandas to analyze the popularity of baby names over the last century. Challenges issued along the way help you practice what you've learned.Note: This version of the course was updated to reflect recent changes in Python 3, NumPy, and pandas.

PPTX | 4.5 MB

PPTX | KEY | PPT | 93 MB

PPTX | PPT | 18.9 MB