Unix numerical analysis

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Originally published in 1987, this book is devoted to the approximation of real functions by real rational functions. These are, in many ways, a more convenient tool than polynomials, and interest in them was growing, especially since D. Newman's work in the mid-sixties. The authors aim at presenting the basic achievements of the subject and, for completeness, also discuss some topics from complex rational approximation. Certain classical and modern results from linear approximation theory and spline approximation are also included for comparative purposes. This book will be of value to anyone with an interest in approximation theory and numerical analysis.

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TABLEAU HANDS-ON ONLINE TRAINING,CORPORATE TRAINING BY REALTIME CORPORATE EXPERTS FOR FREE DEMO contact: Phone/WhatsApp: +91-(850) 012-2107 Interview Questions and Answers, Recorded Video Sessions, Materials, Mock Interviews Assignments Will be provided TABLEAU ONLINE TRAINING Course Content Introduction Tableau Desktop and the Tableau Product Line Application Terminology Creating a Live Data Connection Saving a Data Source Sharing a Data Source Understanding Changes to Data Other Data Connection Options in Tableau Creating Basic Visualizations Getting Started in Tableau Desktop Elements of a Visualization Formatting Your View Simplifying and Sorting Your Data Data Filtering Sorting Organizing your Data Using Groups Creating and Using Hierarchies Creating a Combined Field Using Sets Slicing your Data by Date Working with Dates Using Discrete Date Parts Creating Date Filters Defining a Fiscal Year Creating Custom Dates Using Multiple Measures on the Same Axis Comparing Views with Multiple Measures Using Measure Values and Measure Names Combo Charts Combined or Shared Axis Charts Creating Dual Axis Charts Showing the Relationship between Numerical Values Options for Showing Numerical Relationships Creating Scatter Plots Creating Heat Maps Mapping Data Geographically Mapping in Tableau Geographic Mapping Viewing Distributions Bins and Histograms Viewing Specific Values Creating Crosstabs Creating Highlight Tables Grand Totals, Sub-totals, and Changing Aggregation Customizing your Data Calculation Types Creating Calculated Fields Using Logic Statements Type Conversions and Date Calculations Using Quick Table Calculations Calculations and Aggregations Using Parameters for Dynamic Values Showing Breakdowns of the Whole Pie Charts and Parts of the Whole Creating Tree Maps Highlighting Data with Reference Lines Using Reference Lines and Reference Bands Showing Data History Creating Motion Charts Making Your Views Available Building Dashboards Dashboard Actions Using Drill Downs Sharing Your Work Export to an Image File Exporting the Data Only Other Sharing Options Working with Single Data Sources Desktop Data Architecture Using Data Extracts Custom SQL Data Connection Using Multiple Data Sources All About Joins Using Data Blending Using Calculations in Tableau Creating and Editing Calculated Fields Calculations Performed on the Database Calculations and Aggregations Aggregating Dimensions in Calculations Record Level Calculations for Date Conversion Advanced Table Calculations Table Calculation Scope and Direction Null Values in Table Calculations Table Calculations for Statistical Analysis Creating and Using Parameters Using Parameters and Reference Lines Using Parameters with Filters Comparing Measures Against a Goal Showing Total Progress Toward a Goal (Bar in Bar Graph) Showing Staged Progress Toward a Goal (Bullet Graph) Showing the Biggest and the Smallest Values Tableau Geocoding How Tableau Performs Automatic Geocoding of Data Modifying Geocode Locations within Tableau Custom Geocoding Advanced Mapping Dual Axis Maps Mapping Paths Using Background Images for Spatial Analysis Showing Distributions of Data Creating a Pareto Chart Box and Whisker Plots Reference Distributions Statistics and Forecasting Trend Lines Forecasting Dashboards: Quick Filters, Actions, and Parameters Comparing Quick Filters, Actions, and Parameters Highlight Actions Filter Actions URL Actions Dashboard Best Practices Sizing Using Instructions Dashboard Formatting Sharing Your Work Sharing Packaged Workbooks Export to an Image File Exporting the Data Only Other Sharing Options Server Concepts Installation Create Users Assign Security Create Sites Publish and share dashboards with customers FOR FREE DEMO contact: Phone/WhatsApp: +91-(850) 012-2107 USA Number: 214-628-3894

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Summary of Table of Content 1. Python – Basic Fundamental 2. Managing files,directory and Security 3. Network Security Programming – Sniffers and Packet Injectors 4. Web Application Security 5. Exploitation Writing and Analysis Automation 6. Malware Analysis and Reverse Engineering 7. Setting Attack Task Automation 8. Gathering Information Detailed Table of Content Module 1: Python – Basic Fundamental • Introduction to Interpreted Languages and Python • Data Types and variables • Operators and Expressions • Statement Documentations and help • String Revisited • Control Flow • Data structures in Python • Functions,Functional Programming • File Handling • Accessing the network and Internet • Exception Handling • Modular Programming • Regular Expressions in Python • OOPS concepts and Object Oriented Programming • Modules, Packages and Distribution • Configure Python in Linux and Unix • Configure Python in Windows • How to use Python in Mobiles: iPhone and Androids • Python in Embedded Devices: Routers • Python Program Portability • Python Framework and Ides Module 2: Managing files,directory and Security • Input/output file system in Python • Creating Managing File and Directory Access • use of Multithreading and Concurrency • how,what and why Inter Process Communication (IPC) • how to set Permissions and Controls. Module 3: Network Security Programming – Sniffers and Packet Injectors • Networking in Python • An Introduction to Raw Socket basics • Python Database access • Porting Python code • Socket Programming with Python • Programming Servers and Clients • Programming Wired and Wireless Sniffers  • Packet Analyser • Packet Analyzer – Writing a Packet Sniffer in Python • Packet Analyzer (part 2) – Readability in Strings • Packet Analyzer (part 3) – Sequence in Acknowledgement Numbers in TCP • Creating packet injector • PCAP file parsing and analysis Module 4: Web Application Security • Introduction to web server and Application server • Client Side scripting • Intro to web application and penetration testing in web application • HTML and XML file analysis • Attacking Web Services and Countermeasure • how and why to use Application Proxies and Data Mangling • Automation of attacks such as SQL Injection, XSS etc. • Intro to Buffer overflow and CSRF • Web Application Fuzzers Module 5: Exploitation Writing and Analysis Automation • Exploit Development techniques • Immunity Debuggers and Libs • creating plugins in Python • Binary data analysis • Exploit analysis Automation Module 6: Malware Analysis and Reverse Engineering • Basics of Process Debugging • Pydbg and its applications • Analyzing live applications • Setting breakpoints, reading memory etc. • In-memory modifications and patching Module 7: Setting Attack Task Automation • Task Automation with Python • Libraries and Applications Module 8 - Gathering Information • Info Gather (part 1) – An Activity in Post Exploitation Hacking • Info Gather (part 2) – Enumerating Keys • Info Gather (part 3) – Testing Python Scripts

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