Protecting Sensitive Data From Exposure in ASP.NET 3 and ASP.NET Core 3 Applications

Focused View

Chris Behrens

3:31:41

19 View

01 - Course Overview - end of the process

01 - CourseTrailer PythonForDataAnalysts.mp4

01:37

02 - Course Overview.mp4

01:43

02 - Getting Started with Python for Data Analysis

03 - Module Overview.mp4

01:14

04 - Prerequisites and Course Outline.mp4

01:15

05 - Python for Data Analysts.mp4

03:05

06 - Essential Analytical Building Blocks.mp4

05:06

07 - Demo - Installing Anaconda Python on MacOS.mp4

04:41

08 - Demo - Installing Anaconda Python on Windows.mp4

03:47

09 - Demo - Simple Expressions.mp4

06:15

10 - Demo - Logical Operations.mp4

04:47

11 - Demo - Variables.mp4

05:42

12 - Demo - Basic Types and Type Conversions.mp4

04:19

13 - Demo - Simple Strings and Multi-line Strings.mp4

03:42

14 - Module Summary.mp4

01:17

03 - Leveraging Built-in Functions and Complex Data Types

15 - Module Overview.mp4

01:21

16 - Demo - Introducing Built-in Functions.mp4

06:25

17 - Demo - String Functions, Return Values, and Nested Function Invocations.mp4

06:04

18 - Demo - Introducing Lists.mp4

05:02

19 - Demo - List Slicing Operations and List Functions.mp4

04:11

20 - Demo - Concatenating and Copying Lists.mp4

02:18

21 - Demo - Introducing Tuples.mp4

04:06

22 - Demo - Introducing Dictionaries.mp4

05:48

23 - Module Summary.mp4

01:25

04 - Using Python for Complex Interconnected Calculations

24 - Module Overview.mp4

01:25

25 - Transactional and Analytical Processing.mp4

04:45

26 - Demo - If Statements for Conditional Branching.mp4

04:23

27 - Demo - If Else Statements.mp4

06:28

28 - Demo - Using if with Lists and Dictionary Elements.mp4

02:24

29 - Demo - If-elif for Multiple Conditional Checks.mp4

03:06

30 - Demo - Iterating over List Elements Using a For Loop.mp4

04:42

31 - Demo - Using For Loops with the Range Function.mp4

03:04

32 - Demo - Iterating over Dictionary Elements Using a For Loop.mp4

02:05

33 - Demo - Conditional Looping Using While Loops.mp4

08:09

34 - Demo - Break.mp4

04:13

35 - Demo - Continue and Pass.mp4

04:07

36 - Module Summary.mp4

01:20

05 - Implementing Code Reuse Using Functions in Python

37 - Module Overview.mp4

01:34

38 - Demo - Defining and Invoking Custom Functions.mp4

07:12

39 - Demo - Passing Input Arguments to Functions.mp4

02:54

40 - Demo - Returning Values from Functions.mp4

05:06

41 - Demo - Reassignment of Variables within Functions.mp4

05:54

42 - Demo - Modification of Complex Types within Functions.mp4

03:04

43 - Demo - Invoking Functions with Keyword Arguments.mp4

05:29

44 - Demo - Assigning Default Values for Input Arguments.mp4

02:27

45 - Demo - First Class Functions.mp4

06:45

46 - Module Summary.mp4

01:27

06 - Loading and Saving Data Using Python

47 - Module Overview.mp4

01:13

48 - Demo - Working with the Math Module.mp4

03:00

49 - Demo - Introducing NumPy.mp4

04:23

50 - Demo - Introducing Pandas.mp4

02:18

51 - Demo - Working with the Command Line Processes and Environment Variables.mp4

06:52

52 - Demo - Reading the Contents of a File.mp4

04:48

53 - Demo - Overwriting and Appending Content to a File.mp4

05:35

54 - Demo - Working with CSV and JSON Files.mp4

04:38

55 - Module Summary.mp4

01:41

Description

This course covers the basics of getting started with Python, including the semantics of variables, simple and complex data types, and the use of loops for iteration and functions for code reuse. You will also conceptually understand some of Python’s strengths, relative to other technologies.

What You'll Learn?

Python has exploded in popularity in recent years and has emerged as the technology of choice for data analysts and data scientists.

In this course, Python for Data Analysts, you will gain the ability to write Python programs and utilize fundamental building blocks of programming and data analysis. First, you will learn how programming languages such as Python, spreadsheets such as Microsoft Excel, and SQL-based technologies such as databases differ from each other, and also how they inter-operate.

Next, you will plunge into Python programming, installing Python and getting started with simple programs. You will then understand the ways in which variables are used to hold data, and how simple and complex data types in Python differ in their semantics.

Finally, you will round out your knowledge by working with conditional evaluation using if statements, loops and functions. You will learn how Python treats functions as first-class entities, a key enabler of functional programming.

When you’re finished with this course, you will have the skills and knowledge to identify situations when Python is the right choice for you, and to implement simple but solid programs using Python.

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ASP.NET Core

Chris Behrens

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Pluralsight

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Pluralsight, LLC is an American privately held online education company that offers a variety of video training courses for software developers, IT administrators, and creative professionals through its website. Founded in 2004 by Aaron Skonnard, Keith Brown, Fritz Onion, and Bill Williams, the company has its headquarters in Farmington, Utah. As of July 2018, it uses more than 1,400 subject-matter experts as authors, and offers more than 7,000 courses in its catalog. Since first moving its courses online in 2007, the company has expanded, developing a full enterprise platform, and adding skills assessment modules.