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lostyesterday · 1 year ago

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Percentage of Star Trek Voyager Episodes Focused on Each Major Character

I’ve been thinking about which major characters Voyager spends the most time focusing on, and which characters are more often left in the background. I decided to collect data on this topic, and I made the following graph:

The percentage for each character on the graph represents an estimate of the percentage of the total number of Voyager episodes that are focused on that particular character. Double episodes were counted as singular episodes, bringing the total number of Voyager episodes counted for the graph to 160.

Episodes that I judged as focusing fairly equally on two major Voyager characters counted as half an episode for each of those two characters in my percentage calculation. I decided to do this because I felt it more accurately represented the overall proportion of time that Voyager allocates to each character than if I were to only count episodes that focused solely on one character. Episodes that focused equally on three or more major characters were not counted in the graph.

After tallying every episode that I judged as focusing primarily on either one or two major characters, 22% of Voyager’s episodes remained uncounted. These were generally episodes that focused on the crew as a whole, or on characters outside of the main cast.

Obviously, all of my decisions about which episodes to count for which characters are subjective. There are a lot of complicated questions to ask, such as, how does one draw a distinction between an episode focused on Janeway in particular versus an episode that focuses on the whole crew where Janeway takes the most significant role in the plot simply by virtue of being the Captain? Or how does one count episodes such as Someone to Watch Over Me or The Haunting of Deck Twelve where the major subjects of the story and the character whose perspective it is told through differ? I made my own determinations for each episode, but there is plenty of room for alternate interpretations, some of which might cause a significant shift in the allocation of episodes to each character.

I welcome any disagreement with or discussion about the methodology I used here. I also welcome analysis of what this data means – whether it reflects positively or negatively on Voyager as a show, how it fits with or contradicts popular perceptions, or anything else.

A full list of episodes that I counted for each character is below the cut.

Kathryn Janeway:

Parallax (with Torres – half points)

Time and Again (with Paris – half points)

The 37’s

Resistance

Alliances

Deadlock

Resolutions (with Chakotay – half points)

Sacred Ground

The Q and the Grey

Macrocosm

Coda

Scorpion (with Chakotay – half points)

Year of Hell

Concerning Flight

Prey (with Seven – half points)

The Omega Directive (with Seven – half points)

Hope and Fear (with Seven – half points)

Night

Counterpoint

11:59

Equinox (with Chakotay – half points)

Fair Haven

Good Sheppherd

The Void

Endgame

Seven of Nine:

The Gift (with Kes – half points)

The Raven

Prey (with Janeway – half points)

Retrospect (with EMH – half points)

The Omega Directive (with Janeway – half points)

One

Hope and Fear (with Janeway – half points)

Drone

Infinite Regress

Bliss

Dark Frontier

Think Tank

Someone to Watch Over Me (with EMH – half points)

Relativity

Survival Instinct

One Small Step

The Voyager Conspiracy

Tsunkatse (with Tuvok – half points)

Collective

Child’s Play

Unimatrix Zero

Imperfection

Body and Soul (with EMH – half points)

Human Error

Natural Law (with Chakotay – half points)

EMH/The Doctor:

Heroes and Demons

Projections

Lifesigns

The Swarm

Real Life

Revulsion (with Torres – half points)

Message in a Bottle

Retrospect (with Seven – half points)

Living Witness

Nothing Human

Latent Image

Someone to Watch Over Me (with Seven – half points)

Tinker Tenor Doctor Spy

Virtuoso

Life Line

Critical Care

Body and Soul (with Seven – half points)

Flesh and Blood

Author, Author

Renaissance Man

B’Elanna Torres

Parallax (with Janeway – half points)

Faces

Prototype

Dreadnought

Remember

Blood Fever

Day of Honor

Revulsion (with EMH – half points)

Random Thoughts (with Tuvok – half points)

Extreme Risk

Juggernaut

Barge of the Dead

Muse

Drive (with Paris – half points)

Lineage

Chakotay:

Initiations

Tattoo

Maneuvers

Resolutions (with Janeway – half points)

Unity

Scorpion (with Janeway – half points)

Nemesis

Waking Moments

Unforgettable

In the Flesh

The Fight

Equinox (with Janeway – half points)

Shattered

Natural Law (with Seven – half points)

Tuvok:

Ex Post Facto (with Paris – half points)

Learning Curve

Meld

Innocence

Flashback

Alter Ego (with Kim – half points)

Rise (with Neelix – half points)

Random Thoughts (with Torres – half points)

Gravity

Riddles (with Neelix – half points)

Tsunkatse (with Seven – half points)

Repression

Harry Kim:

Emanations

Non Sequitur

The Chute (with Paris – half points)

Alter Ego (with Tuvok – half points)

Favorite Son

Timeless

The Disease

Warhead

Ashes to Ashes

Nightingale

Neelix:

Jetrel

Parturition (with Paris – half points)

Investigations (with Paris – half points)

Fair Trade

Rise (with Tuvok – half points)

Mortal Coil

Once Upon a Time

Riddles (with Tuvok – half points)

The Haunting of Deck Twelve

Homestead

Tom Paris:

Time and Again (with Janeway – half points)

Ex Post Facto (with Tuvok – half points)

Parturition (with Neelix – half points)

Threshold

Investigations (with Neelix – half points)

The Chute (with Kim – half points)

Vis a Vis

Thirty Days

Alice

Drive (with Torres – half points)

Kes:

Elogium

Cold Fire

Warlord

Darkling

Before and After

The Gift (with Seven – half points)

Fury

#star trek voy #lane posts #lane's misc meta

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gwebpro · 1 year ago

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Factors to Consider When Hiring Machine Learning Developers

Hiring machine learning (ML) developers involves assessing various factors to ensure their suitability for the role. Candidates must be proficient in both technical and soft skills; otherwise, they may not be a good addition to your team. For instance, miscommunication is possible if they lack effective communication skills, which can hinder teamwork.

To hire a competent machine learning developer with all the skills you require, let’s look at the qualities you need to look for.

What to Look for When Hiring Machine Learning Developers

Let's look at the characteristics that set top machine learning developers apart. Doing so will make hiring them that much easier.

Educational Qualifications

When looking for a skilled machine learning developer, take into consideration the applicant’s education. As machine learning is part of computer science, a background in computer programming, mathematics, and data science is mandatory. Candidates with a bachelor's degree with certifications in machine learning are accepted, whereas candidates with a PhD are preferred.

Candidates must also be experts in topics like machine learning algorithms, natural language processing, regression, and neural networks. They must also be fluent in computer programming languages.

Technical Skills

Applicants for your machine learning developer role must have superior technical skills. They are expected to be acquainted with programming languages like Python, C++, JavaScript, Java, C#, Julia, Shell, R, TypeScript, and Scala. They must also be familiar with data engineering, data analysis, ML models, and deployments. In brief:

Data engineering is managing or transforming data for storage and processing.

Data analysis is the process of examining, purifying, converting, and modelling data in order to extract meaningful information.

Machine learning models are programs that identify patterns or draw conclusions from unknown data sets.

Model deployment is the process of incorporating an ML model into an already-existing production so that it can receive input and produce output.

Software Engineering Skills

Software engineering skills are a must-have for machine learning developers. Writing search queries, sorting, and optimizing algorithms are required, along with being familiar with data structures like stacks, queues, trees, graphs, and multidimensional arrays.

AI and machine learning developers must also know about computer architecture elements like memory, clusters, bandwidth, deadlocks, and caches. These are some of the fundamentals of computer science.

Soft Skills

The recruiter must ensure that applicants have soft skills as well as technical ones. While machine learning is a technical domain, having soft skills like problem solving and clear communication makes a candidate more efficient in their work. This is because one of the most important aspects of the work is being able to explain the project's objectives, schedule, and expectations to stakeholders.

Also, the goal of machine learning is to solve problems in real-time. This means having the critical and creative thinking skills necessary to identify problems and come up with solutions.

Time Management and Teamwork

Time management skills are essential for making significant contributions to the team. Machine learning developers frequently have to balance the needs of multiple stakeholders while still finding time to conduct research, plan and manage projects, and create and thoroughly test software.

Teamwork is also crucial as machine learning developers often work closely with software engineers, marketers, product designers, managers, testers, and data scientists. They are frequently at the core of AI business initiatives. When recruiting an AI/ML developer, supervisors look for the ability to work well with others and contribute to a positive work environment.

A Desire to Learn New Things

An AI/ ML developer must have a passion for studying and learning. Artificial intelligence, deep learning, machine learning, and data science are quickly developing topics. The most successful AI/ML developers are always updating their knowledge and willing to learn new abilities. Even machine learning developers with doctoral degrees find ways to stay up to date by attending boot camps and workshops and doing self-study.

Developers must study cutting-edge methodologies and technologies, learn the newest programming languages, and become proficient with new applications and tools. An enthusiastic learner quickly learns about the newest industry developments.

Cost and Value

Recruiters must know the market value of these positions in order to hire a developer. A typical AI/ML developer's hourly rate in Canada could differ depending on their position, degree of expertise, region, and demand within the market. In Canada, AI/ ML experts are hired with an hourly pay between $30 and $60 on average.

Entry-level jobs such as junior data analysts or AI assistants have a pay between $30 and $40 per hour. Professional-level AI/ML developer costs are typically between $40 and $60. These experts have the knowledge and expertise required to take on challenging AI projects and produce top-notch results.

When hiring a machine learning developer, a good mix of technical and soft skills is needed. A solid educational base, command of important programming languages, and familiarity with data engineering are all desirable. Teamwork, effective communication, and problem-solving skills are also vital. You are sure to locate the perfect developer for your team by keeping these things in mind.

#machine learning developers #ai ml developer hourly rate

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its-veso · 6 years ago

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GBP/USD Forecast April 1-5 – Brexit blues send pound reeling

GBP/USD dropped over 1.3% last week, as Brexit uncertainty and turmoil continue. We’ll get a snapshot of the health of the British economy, with the release of PMI reports. Here is an outlook for the highlights of this week and an updated technical analysis for GBP/USD.

Prime Minister May has been unable to pass her withdrawal agreement through parliament, despite three attempts to do so. There was plenty of drama in Whitehall, when lawmakers rejected eight alternative options to the Brexit withdrawal agreement. This worsened the deadlock over Brexit, as parliament has rejected a no-deal exit, but at the same time, has rejected all other options. Not surprisingly, the pound responded with sharp losses last week. The new Brexit deadline is April 12, but it remains uncertain if parliament will change its mind and approve May’s withdrawal deal.

In the U.S., growth remains respectable, but the economy has slowed down. Final GDP disappointed with a gain of 2.2%, compared to the initial reading of 2.6%. Personal spending posted a weak gain of 0.1%, and CB consumer confidence fell to 124.1, down sharply from 131.4 in the previous release.

GBP/USD daily graph with resistance and support lines on it. Click to enlarge:

Manufacturing PMI: Monday, 8:30. The manufacturing sector has been damaged by the global trading war as well as uncertainty over Brexit. The PMI has slowed for two straight months. Another drop is expected for March, with an estimate of 51.2 points.

Construction PMI: Tuesday, 8:30. The construction sector has dropped for three successive months, and the February reading of 49.5 pointed to contraction. Another weak reading is projected for March, with a forecast of 49.8 points.

BRC Shop Price Index: Wednesday, 00:01. The British Retail Consortium’s inflation gauge improved in February, with a strong gain of 0.7%. This was its strongest gain since 2013. Will the positive momentum continue?

Services PMI: Wednesday, 8:30. This is the third PMI release of the week. The indicator has been hovering just above the 50 level, which indicates stagnation. Little change is expected in the March release, with an estimate of 51.0 points.

Halifax HPI: Friday, 7:30. The Halifax Bank of Scotland’s measure of house prices is considered quite accurate due to the bank’s sheer size. The indicator tends to show sharp swings from month-to-month. After a strong gain in February of 5.9%, the markets are braced for a decline of 2.5% in March.

GBP/USD Technical analysis

Technical lines from top to bottom:

With the pair dropping sharply last week, we start at lower levels:

The round number of 1.34 has held in resistance since June 2018.

1.3375 was a high point in July. It is followed by the round number of 1.3300 which saw activity during the week. It is currently a weak resistance line.

1.3217 was the high point of the pound rally in late January.

1.3170 was a swing high in early November.

The pair broke through support at 1.3070 (mentioned last [1]week[2]). This line was a high point in mid-November.

The symbolic number of 1.3000 is next.

1.2910 has held in support since mid-February,

1.2850 capped recovery attempts in late November.

1.2728 was active in the first half of January.

1.2616 is the final support level for now.

I am bearish on GBP/USD

The Europeans grudgingly extended the Brexit deadline, but the deadlock remains in place. The likelihood of a hard Brexit in which the U.K. crashes out of the EU with no deal remains high, which will likely weigh on the pound this week.

Further reading:

Safe trading!

Get the 5 most predictable currency pairs[3]

References

^ last (www.forexcrunch.com)

^ eek (www.forexcrunch.com)

^ Get the 5 most predictable currency pairs (www.forexcrunch.com)

from Forex Crunch http://feedproxy.google.com/~r/ForexCrunch/~3/OpLM3dg6klk/

#Forex News #Forex Crunch

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techcouncilglobal · 4 years ago

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Machine Learning Engineers Need These Skills to Get Hired

If you're thinking about becoming a machine learning professional, here are two things you should know. It is not necessary to have a background in research or academia. It's not just for academic grounds that you should learn machine language. Additionally, experience in either software engineering or data science is insufficient. If you can have both, that's fantastic. The fundamental difference is that the end goal is the most significant factor. Data analysts, data scientists, and data scientists are all terms that a machine learning engineer should be familiar with.

Data analysis for the purpose of conveying a storey, as well as data analysis for your team members, gives actionable insights. The analysis is carried out and presented by people, and the results are used by other humans to make business decisions. Humans are supposed to absorb your art. A machine learning engineer's output, on the other hand, is working software (not the analyses or visualisations you may produce along the way). Other software components that run without human involvement typically use this output.

Machine Learning Skills for Recognizing Hiring Opportunities

While actionable intelligence is still necessary for machine learning, computers today define how a product acts by their decisions and actions. To succeed in Machine Learning, you'll require software engineering skills. A data scientist exists somewhere in the middle of the two worlds. Software engineers who can acquire, clean, and organise data should execute data analysis, whereas software developers who can collect, clean, and organise data should perform insight extraction. Their ability to communicate is also crucial to the success of machine learning.

Let's get to work now that that's out of the way. There will also be a discussion of the essential requirements for machine learning engineers. The two most important components of these talents are languages and libraries. This will include topics concerning the learning process. For the time being, we'll focus on skills, and we'll discuss languages and libraries in a later post.

Computer Fundamentals and Programming

For machine learning engineers, the following are critical computer science principles:

Stacks, queues, multidimensional arrays, trees, graphs, and other data structures are all examples of data structures. Many algorithms are used to search, sort, optimise, programme, and so on. Other concepts in computing efficiency and complexity include P vs. NP, problems with no solution, Big-O notation, approximation methods, and others. Computer architecture includes memory and cache, bandwidth, deadlocks, and distributed processing. Programming needs their adaptation, administration, or implementation (as needed). Competitions, hackathons, and practise problems are all fantastic ways to hone your programming abilities.

Probability and Statistics

To deal with uncertainty, several machine learning algorithms recognise probabilities (conditional probability, Bayesian rule, likelihood, independence, etc.). The development of fantastic machine learning ideas is aided by implementing tactics learned from them. Many metrics, distributions, and analysis processes are available in statistics to aid in the creation and validation of models based on observable data. Many machine learning techniques are founded on statistical modelling methodologies.

Data modelling and evaluation

Finding important patterns (correlations, clusters, eigenvectors, and so on) and forecasting aspects of previously unknown occurrences are all part of data analysis (classification, regression, anomaly detection, etc.). The estimation method hinges on determining the quality of a model. If the task at hand is classification, select a suitable error measure and an effective assessment strategy (e.g., sequential vs. randomised cross-validation).

Even when employing standard algorithms, it's vital to use the resulting errors to fine-tune the algorithm (for backpropagation with neural networks). It's crucial to understand these procedures even if you don't plan to utilise them.

Machine Learning Algorithms and Libraries

A wide range of libraries, packages, and APIs implement machine learning techniques (such as sci-kit-learn, Theano, Spark MLlib, H2O, TensorFlow, etc.). It necessitates the choice of an appropriate model (decision tree, nearest neighbor, neural net, support vector machine, and the like). It's crucial to understand how hyperparameters affect the learning process (linear regression, gradient descent, evolutionary algorithms, bagging, boosting, and so on) and data fit.

You must be aware of the numerous threats that can catch you off guard in addition to learning how distinct strategies differ (bias and variance, overfitting and underfitting, missing data, data leakage, etc.). Kaggle's data science and machine learning challenges are a great way to get a taste of a variety of topics.

Software Engineering and System Design

Software is the primary output of a machine learning engineer. The product or service is frequently only a minor part of a larger ecosystem. Create proper APIs for your component so that others can rely on different machine learning combinations. Build appropriate interfaces for your component that others will rely on other combinations of machine learning. Have a good understanding of how these different pieces integrate (using calls to libraries, REST APIs, database queries, etc.) and build appropriate interfaces for your component that others will rely on other combinations of machine learning. You must carefully build your system to remove bottlenecks and ensure that your algorithms scale effectively with additional data.

Software engineering best practises include things like requirements analysis, system design, modularity, documentation, and so on. These are essential for efficiency, cooperation, quality, and maintainability since they provide clear information about the machine learning language. Machine learning engineers will always be in demand since the world evolves rapidly and dramatically. There are numerous challenges facing the globe, and overcoming them will demand advanced systems.

Conclusion:

These are some of the in-demand skills that will help you land a job. So, if you want to pursue a career as a machine learning engineer, now is the time to get started. Then now is the best moment to start learning the abilities and developing the mindset that will help you achieve.

#machine learning expert #Machine Learning Certification #machine learning course #machine learning training

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ad2way · 4 years ago

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Technical Analysis Before Trading in Stock Market

Technical analysis is a way of estimating its results based on the forecast of changes in the market price of a share. Experts of technical analysis believe that past fluctuations in share price determine the future price of shares.

Technical analysis is the analysis of price and volume charts and other technical indicators to predict future price movements of stocks. With proper and efficient use of various techniques, you can estimate future price movements almost accurately.

The technology used in technical analysis works well in all stocks, commodities, forex and derivatives markets. Technical analysis is basically used for short term trading while fundamental analysis is used for long term investment.

Technical analysis is broadly based on three assumptions:

Price discount everything

Price moves in trend

History repeats itself

Technical analysis is a forecasting pattern for a security price movement capable of buying and selling in the stock market in general. It is the demand and supply of a security that is expressed in price movements .. Technical analysis mainly applies to price changes.

General stages of technical evaluation. Many technicians use the top down approach. Such analysis involves 3 stages.

1 Broad Market Analysis through Key Indices.

Sector analysis to identify the strongest and weakest sectors of the economy. Individual stock analysis to identify the strongest and weakest stocks within the sector.

You do not need to be a CA or CPA to analyze the chart. Charts are charts. It does not matter whether the time limit is 2 days or 2 years. It does not matter whether it is stock, forex or commodity. Technical principles of support, resistance, trend, trading range and other aspects can be applied to any chart.

The final step that is synthesized by technical alestis:

Strength of current trend

Maturity of current trend

Risk of rewarding ratio of new position

Potential entry level for a new long / short position.

Here are some points why technical analysis is important in the stock market:

Pay attention to price

Price movements usually precede fundamental developments. By focusing on price action, technicians voluntarily focus on the future.

2. Supply, demand and price action

Technicians use open, high, low, close when analyzing the price action of security. There is information to shine through every information. Taken together, the open represents the forces of high, low and close demand and supply.

3. Support / resistance

Simple chart analysis helps to identify support and resistance levels. These are typically characterized by periods of congestion trading range, where prices move within a limited range for a long period, telling us that demand and supply forces are deadlocked. When prices go above the trading range, it suggests that demand is winning and if prices go below the trading range, it suggests that supply is winning.

Study Price history Graph

Charts are much easier to read than numbers. With a clear picture of the chart, it is easy to identify the following:

Reactions before and after critical levels.

Trading level

The real strength of the overall market versus a stock

Past and present instability.

Help with entry point

Technical analysis can help with the timing of a proper entry and exit point. Fundamental analysis tells you what to buy while technical analysis tells you when to buy a stock. Technical analysis can help spot demand and supply levels as well as breakouts.

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suzanneshannon · 5 years ago

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Cross platform diagnostic tools for .NET Core

.NET Core is cross platform and open source. Tell someone, maybe your boss.

A good reminder. It's been this way for a half decade but I'm still bumping into folks who have never heard this. Moving forward, .NET 5 will be a unification of the .NET Framework you may have heard for years, and the new .NET Core I like talking about, PLUS great goodness, tools and libraries from Mono and Xamarin. It's one cross-platform .NET with a number greater than 4. Because 5 > 4, natch.

NOTE: If you like, you can learn all about What is .NET? over on my YouTube.

Now you've made some software, maybe for Windows, maybe Mac, maybe Linux. There's a lot of ways to diagnose your apps in .NET Core, from the Docs:

Logging and tracing are related techniques. They refer to instrumenting code to create log files. The files record the details of what a program does. These details can be used to diagnose the most complex problems. When combined with time stamps, these techniques are also valuable in performance investigations.

Unit testing is a key component of continuous integration and deployment of high-quality software. Unit tests are designed to give you an early warning when you break something.

Debug Linux dumps explains how to collect and analyze dumps on Linux.

But I want to talk about the...

.NET Core Diagnostic Global Tools

First, let's start with...

dotnet-counters

dotnet tool install --global dotnet-counters

Now that I've installed it, I can see what .NET Core apps I'm running, like a local version of my Hanselminutes podcast site.

dotnet counters ps 18996 hanselminutes.core D:\github\hanselminutes-core\hanselminutes.core\bin\Debug\netcoreapp3.1\hanselminutes.core.exe 14376 PowerLauncher C:\Program Files\PowerToys\modules\launcher\PowerLauncher.exe 24276 pwsh C:\Program Files\PowerShell\7\pwsh.exe

I also see PowerShell 7 in there that I'm running in Windows Terminal. Pwsh is also written in cross platform .NET Core.

I'll run it again with a process id, in this case that of my podcast site:

dotnet counters monitor --process-id 18996

Here I'll get a nice constantly refreshing taskman/processmonitor of sorts in the form of dotnet-countersperformance counters:

Again this works outside Visual Studio and it works everywhere. You can watch them and react, or collect them to a file.

dotnet-dump

The dotnet-dump tool is a way to collect and analyze Windows and Linux core dumps without a native debugger. Although it's not yet supported on macOS, it works on Windows and Linux.

With a similar syntax, I'll dump the process:

dotnet dump collect -p 18996 Writing full to D:\github\hanselminutes-core\hanselminutes.core\dump_20200918_224648.dmp Complete

Then I'll start an interactive analysis shell session. You can run SOS (Son of Strike) commands to analyze crashes and the garbage collector (GC), but it isn't a native debugger so things like displaying native stack frames aren't supported.

dotnet dump analyze .\dump_20200918_224648.dmp Loading core dump: .\dump_20200918_224648.dmp ... Ready to process analysis commands. Type 'help' to list available commands or 'help [command]' to get detailed help on a command. Type 'quit' or 'exit' to exit the session. >

There's tons to explore. Debugging production dumps like this is a lost art.

You can also do live Garbage Collector dumps with

dotnet-gcdump

GCDump is:

"a way to collect GC (Garbage Collector) dumps of live .NET processes. It uses the EventPipe technology, which is a cross-platform alternative to ETW on Windows. GC dumps are created by triggering a GC in the target process, turning on special events, and regenerating the graph of object roots from the event stream. This process allows for GC dumps to be collected while the process is running and with minimal overhead."

Once you have a dump you can analyze it in Visual Studio or PerfView on GitHub.

Sometimes you may capture a dump from one machine and analyze it on another. For that you may want to download the right symbols to debug your core dumps or minidumps. For that you'll use

dotnet-symbol

This is great for Linux debugging with lldb.

"Running dotnet-symbol against a dump file will, by default, download all the modules, symbols, and DAC/DBI files needed to debug the dump including the managed assemblies. Because SOS can now download symbols when needed, most Linux core dumps can be analyzed using lldb with only the host (dotnet) and debugging modules."

Interesting in some real tutorials on how to use these tools? Why not learn:

How to debug a memory leak in .NET Core

Debug high CPU usage

Debug deadlock shows you how to use the dotnet-dump tool to investigate threads and locks.

In the next blog post I'll look at dotnet trace and flame graphs!

Sponsor: Have you tried developing in Rider yet? This fast and feature-rich cross-platform IDE improves your code for .NET, ASP.NET, .NET Core, Xamarin, and Unity applications on Windows, Mac, and Linux.

Cross platform diagnostic tools for .NET Core published first on https://deskbysnafu.tumblr.com/

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philipholt · 5 years ago

Text

Cross platform diagnostic tools for .NET Core

.NET Core is cross platform and open source. Tell someone, maybe your boss.

NOTE: If you like, you can learn all about What is .NET? over on my YouTube.

Now you've made some software, maybe for Windows, maybe Mac, maybe Linux. There's a lot of ways to diagnose your apps in .NET Core, from the Docs:

Unit testing is a key component of continuous integration and deployment of high-quality software. Unit tests are designed to give you an early warning when you break something.

Debug Linux dumps explains how to collect and analyze dumps on Linux.

But I want to talk about the...

.NET Core Diagnostic Global Tools

First, let's start with...

dotnet-counters

dotnet tool install --global dotnet-counters

Now that I've installed it, I can see what .NET Core apps I'm running, like a local version of my Hanselminutes podcast site.

I also see PowerShell 7 in there that I'm running in Windows Terminal. Pwsh is also written in cross platform .NET Core.

I'll run it again with a process id, in this case that of my podcast site:

dotnet counters monitor --process-id 18996

Here I'll get a nice constantly refreshing taskman/processmonitor of sorts in the form of dotnet-countersperformance counters:

Again this works outside Visual Studio and it works everywhere. You can watch them and react, or collect them to a file.

dotnet-dump

The dotnet-dump tool is a way to collect and analyze Windows and Linux core dumps without a native debugger. Although it's not yet supported on macOS, it works on Windows and Linux.

With a similar syntax, I'll dump the process:

dotnet dump collect -p 18996 Writing full to D:\github\hanselminutes-core\hanselminutes.core\dump_20200918_224648.dmp Complete

There's tons to explore. Debugging production dumps like this is a lost art.

You can also do live Garbage Collector dumps with

dotnet-gcdump

GCDump is:

Once you have a dump you can analyze it in Visual Studio or PerfView on GitHub.

Sometimes you may capture a dump from one machine and analyze it on another. For that you may want to download the right symbols to debug your core dumps or minidumps. For that you'll use

dotnet-symbol

This is great for Linux debugging with lldb.

Interesting in some real tutorials on how to use these tools? Why not learn:

How to debug a memory leak in .NET Core

Debug high CPU usage

Debug deadlock shows you how to use the dotnet-dump tool to investigate threads and locks.

In the next blog post I'll look at dotnet trace and flame graphs!

Cross platform diagnostic tools for .NET Core published first on http://7elementswd.tumblr.com/

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toppersexam · 5 years ago

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GATE Computer Science Syllabus, Paper, Books, Notes, Online Mock Test, MCQ at Toppersexam.com

GATE Computer Science Syllabus, Paper, Books, Notes, Online Mock Test, MCQ The Graduate Aptitude Test in Engineering is an examination that primarily tests the comprehensive understanding of various undergraduate subjects in engineering and science for admission into the Masters Program of institutes as well as jobs at Public Sector Companies. GATE Computer Science Online Mock Test Crack GATE Computer Science Recruitment exam with the help of online mock test Series or Free Mock Test. Every Sample Paper in GATE Computer Science Exam has a designated weightage so do not miss out any Paper. Prepare and Practice Mock for GATE Computer Science exam and check your test scores. You can get an experience by doing the Free Online Test or Sample Paper of GATE Computer Science Exam. Free Mock Test will help you to analysis your performance in the Examination. GATE Computer Science Online Mock Test : Available Now GATE Computer Science MCQs and Paper Buy the question bank or online quiz of GATE Computer Science Exam Going through the GATE Computer Science Exam Question Bank is a must for aspirants to both understand the exam structure as well as be well prepared to attempt the exam. The first step towards both preparation as well as revision is to practice from GATE Computer Science Exam with the help of Question Bank or Online quiz. We will provide you the questions with detailed answer. GATE Computer Science MCQs and Paper : Available Now GATE Computer Science Books : Click Here GATE Computer Science Syllabus GENERAL APTITUDE Verbal Ability : English Grammar, Sentence Completion, Verbal Analogies, World Groups Instructions, Critical Reasoning, and Verbal Deduction, etc. Numerical Ability : Numerical Computation, Numerical Estimation, Numerical Reasoning and Data Interpretation, etc. Computer Science and Information Syllabus Discrete Mathematics : Propositional and first-order logic. Sets, relations, functions, partial orders and lattices. Groups. Graphs : connectivity, matching, coloring. Combinatorics: counting, recurrence relations, generating functions. Linear Algebra : Matrices, determinants, system of linear equations, eigenvalues and eigenvectors, LU decomposition. Calculus : Limits, continuity, and differentiability. Maxima and minima. Mean value theorem. Integration. Probability : Random variables. Uniform, normal, exponential, Poisson and Binomial distributions. Mean, median, mode and standard deviation. Conditional probability and Bayes theorem. DIGITAL LOGIC : Boolean algebra, Combinational and sequential circuits. Minimization. Number representations and computer arithmetic (fixed and floating point). COMPUTER ORGANIZATION AND ARCHITECTURE : Machine instructions and addressing modes. ALU, data‐path and control unit. Instruction pipelining. Memory hierarchy: cache, main memory, and secondary storage; I/O interface (interrupt and DMA mode). PROGRAMMING AND DATA STRUCTURES : Programming in C, Recursion. Arrays, stacks, queues, linked lists, trees, binary search trees, binary heaps, graphs. ALGORITHMS : Searching, sorting, hashing. Asymptotic worst-case time and space complexity. Algorithm design techniques: greedy, dynamic programming and divide‐and‐conquer Graph search, minimum spanning trees, shortest paths. THEORY OF COMPUTATION : Regular expressions and finite automata. Context-free grammars and push-down automata. Regular and context-free languages, pumping lemma. Turing machines and undecidability. COMPILER DESIGN : Lexical analysis, parsing, syntax-directed translation. Runtime environments. Intermediate code generation. OPERATING SYSTEM : Processes, threads, inter‐process communication, concurrency, and synchronization. Deadlock. CPU scheduling. Memory management and virtual memory. File systems. DATABASESER : model. Relational model: relational algebra, tuple calculus, SQL. Integrity constraints, normal forms. File organization, indexing (e.g., B and B+ trees). Transactions and concurrency control. COMPUTER NETWORKS : Concept of layering. LAN technologies (Ethernet). Flow and error control techniques, switching. IPv4/IPv6, routers and routing algorithms (distance vector, link state). TCP/UDP and sockets, congestion control. Application layer protocols (DNS, SMTP, POP, FTP, HTTP). Basics of Wi-Fi. Network security: authentication, basics of public key and private key cryptography, digital signatures and certificates, firewalls. GATE 2021 Computer Science Exam Pattern Duration : 180 Mint Negative Mark : 0.66 SectionNo. of QuestionsMarksMarks/QuestionsTotal Marks General Aptitude5 55 51 25 10 Technical, Engineering, Mathematics25 3025 301 225 60 Total65 100 #GATEComputerScience #GATEComputerScience2020 #GATEComputerScienceExam #FreeTestSeries #QuestionsBank #GATEComputerScienceSyllabus #OnlineTestSeries #OnlineMockTest #ImportantQuestionPaper #ImportantQuestion #ImportantQuestion

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its-veso · 6 years ago

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GBP/USD Forecast June 17-21 – Investors eye consumer numbers, Bank of England decision

GBP/USD[1] continues to show volatility. The pair reversed directions last week, falling 1.1%. It’s a very busy week, with the U.K. releasing consumer inflation and retail sales. As well, the BoE is expected to maintain the benchmark rate at 0.75%. Here is an outlook for the highlights of the upcoming week and an updated technical analysis for GBP/USD.

British data was dismal at the start of the week. GDP declined by 0.4% in April, marking a second straight contraction. This was followed by manufacturing production, which plunged 3.9%, its sharpest drop since 2002. Employment data was mixed. Wage growth dropped from 3.2% to 3.1%, but managed to beat the forecast of 2.9%. Unemployment claims came in at 23.2 thousand, much higher than the estimate of 12.3 thousand.

In the U.S., the spotlight was on consumer inflation and spending data. May inflation numbers were soft, as CPI and core CPI came in at 0.1%. As expected, U.S. consumer spending data improved sharply in May. Core retail sales climbed 0.5%, matching the estimate. Retail sales also improved to 0.5%, but fell shy of the forecast of 0.7%. These consumer inflation and consumer spending numbers could play a crucial role in the Federal Reserve’s forward guidance for rates. The markets are prepared for rate cuts in the second half of the year. The CME Group has set the odds of a July cut at 62% and another cut in September at 55%. Lower interest rates make the U.S. dollar less attractive to investors, which could help boost the pound.

GBP/USD daily graph with resistance and support lines on it. Click to enlarge:

Inflation Data: Wednesday, 8:30. CPI, the primary gauge of consumer spending, climbed to 2.1% in April. This is the first time in four months that inflation pushed above the BoE target of 2.0%. The forecast for the May release stands at 2.1%. Core CPI is projected to dip to 1.6%, after posting gains of 1.8% for three straight months.

CBI Industrial Order Expectations: Wednesday, 10:00. Manufacturing orders decreased sharply in May, with a reading of -10. This was the sharpest decline since October 2016. No relief is expected in June, with an estimate of -11.

Retail Sales: Thursday, 8:30. Retail sales has been showing sharp swings, making accurate predictions a tricky task. In April, the indicator slowed to 0.0% and the downward trend is expected to continue, with an estimate of -0.5% for May.

BoE Decision: Thursday, 11:00. The BOE is set to maintain the benchmark rate at 0.75% (raised to this level back in August) and the QE program at 435 billion pounds. The Monetary Policy Committee (MPC) voted unanimously to maintain this policy in the previous meeting and the same voting pattern will probably be repeated. If the Monetary Policy summary is on the dovish side, the pound could lose ground.

Public Sector Net Borrowing: Friday, 8:30. The U.K. deficit ballooned to GBP 5.0 billion in April, but this was below the forecast of GBP 5.2 billion. The deficit is expected to fall to GBP 3.3 billion in May.

* All times are GMT

GBP/USD Technical analysis

Technical lines from top to bottom:

We start with the round number of 1.30. 1.2910 (mentioned last [2]week[3]) is next.

1.2850 capped recovery attempts in late November.

1.2728 was active in the first half of January.

1.2660 remained relevant during the week. 1.2590 was a swing low in September 2017. It was breached late in the week.

Lower, 1.25 is a round number and also worked as support in early 2017. Further down is 1.2420.

1.2330 has provided support since March 2017.

1.2214 is the final support line for now.

I am bearish on GBP/USD

Weak GDP and manufacturing numbers this week underlined weakness in the British economy. Add to the mix the political instability in London and the Brexit deadlock with the EU, and there could be more turbulence for the pound.

Further reading:

Safe trading!

Get the 5 most predictable currency pairs[4]

References

^ GBP/USD (www.forexcrunch.com)

^ last (www.forexcrunch.com)

^ eek (www.forexcrunch.com)

^ Get the 5 most predictable currency pairs (www.forexcrunch.com)

from Forex Crunch http://feedproxy.google.com/~r/ForexCrunch/~3/W6p91UJy1Bo/

#Forex News #Forex Crunch

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studyabroadaide · 7 years ago

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UGC NET Computer Science and Applications Syllabus 2018

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UGC NET Computer Science and Applications Syllabus 2018

UNIVERSITY GRANTS COMMISSION NET BUREAU Code No. : 87 Subject: COMPUTER SCIENCE AND APPLICATIONS

SYLLABUS Note: There will be two question papers, Paper-II and Paper-Ill (Part-A & B). Paper-II will cover 50 Objective Type Questions (Multiple choice, Matching type, True/False, Assertion-Reasoning type) carrying 100 marks. Paper’-Ill will have two Parts-A and B: Paper-iii (A) will have 10 short essay type questions (300 words) carryIng 16 marks each. In it there will be one question with Internal choice from each unit (i.e. 10 questions from 10 units: Total marks will be 160). Paper-III (B) will be compulsory and there will be one question from each of the Electives. The candidate will attempt only one question (one elective only In 800 words) carrying 40 marks. Total marks of Paper-III will be 200.

Best book for UGC NET Computer Science and Applications

UGC NET Computer Science and Applications Syllabus 2018

PAPER-II

1. Discrete Structures

Sets, Relations, Functions. Pigeonhole Principle, Inclusion-Exclusion Principle, Equivalence and Partial Orderings, Elementary Counting Techniques, Probability. Measure(s) for Information and Mutual Information. Computability: Models of computation—Finite Automata, Pushdown Automata, Non-determinism and NFA. DPDA and PDAs and Languages accepted by these structures. Grammars, Languages, Non-computability and Examples of non-computable problems. Graph: DefInition, walks, paths, trails, connected graphs, regular and bipartite graphs, cycles and circuits. Tree and rooted tree. Spanning trees. Eccentricity of a vertex radius and diameter of a graph. Central Graphs. Centre(s) of a tree. Hamiltonlan and Eulerlan graphs, Planar graphs. Groups: Finite fields and Error correcting/detecting codes.

2. Computer Arithmetic

Propositional (Boolean) Logic, Predicate Logic, Well-formed-formulae (WFF), Satisfiability and Tautology. Logic Families : TTl, ECL and C-MOS gates. Boolean algebra and Minimization of Boolean functions, Flip-flops—-types, race condition and comparison. Design of computational and sequential circuits. Representation of Integers: Octal, Hex. Decimal, and Binary. 2’s complement and l’s complement arithmetic. Floating point representation.

3. Programming in C and C++

Programming in C: Elements of C—Tokens, Identifiers, data types In C. Control structures In C. Sequence, selection and Iteration(s). Structured data types In C—arrays, struct, union, string, and pointers, 0-0 Programming Concepts : Class, object, instantiation. Inheritance, polymorphism and overloading. C++ Programming : Elements of C++ —Tokens, identifiers. Variables and constants, Data types, Operators, Control statements. Functions parameter passing. Class and objects. Constructors and destructors. Overloading, Inheritance, Templates, Exception handling.

4. Relational Database Design and SQL

E-R diagrams and their transformation to relational design, normalizatlon—1NF, 2NF. 3NF, BCNF and 4NF. Limitations of 4NF and BCNF. SQL: Data Definition Language (DDL), Data Manipulation Language (DML), Data Control Language (DCL) commands. Database objects like—Views, Indexes, sequences, synonyms, data dictionary.

5. Data and File structures

Data, Information, Definition of data structure. Arrays, stacks, queues, linked lists, trees, graphs, priority queues and heaps. File Structures: Fields, records and files. Sequential, direct, Index-sequential and relative files. Hashing, inverted lists and multi-lists. B trees and B trees. 6. Computer Networks Network fundamentals : Local Area Networks (LAN). Metropolitan Area Networks (MAN), Wide Area Networks (WAN), Wireless Networks, Inter Networks. Reference Models : The OSI model, TCP/IP model.

Data Communication: Channel capacity. Transmission media—twisted pair, coaxial cables, fibre-optic cables, wireless transmission—radio, microwave, infrared and millimeter waves. Lightwave transmission. Thelephones—local loop, trunks, multiplexing, switching, narrowband ISDN, broadband ISDN, ATM. High speed LANS. Cellular adio. Communication satellites—geosynchronous and low-orbit. Intemetworking: Switch/Hub, Bridge, Router, Gateways, Concatenated virtual circuits, Tunnelling. Fragmentation, Firewalls. Routing : Virtual circuits and datagrams. Routing algorithms. Conjestion control. Network Security: Cryptography—public key, secret key. Domain Name System (DNS)—Electronic Mail and Worldwide Web (WWW). The DNS, Resource Records, Name servers. E-mail-architecture and Serves. 7. System Software and Compilers Assembly language fundamentals (8085 based assembly language programming). Assemblers—2-pass and single-pass. Macros and macroprocessors. Loading, linking, relocation, program relocatabifity. Linkage editing. Text editors. Programming Environments. Debuggers and program generators. Compilation and Interpretation. Bootstrap compilers. Phases of compilation process. Lexical analysis. Lex package on Unix system. Context free grammars. Parsing and parse trees. Representation of parse (derivation) trees as rightmost and leftmost derivations. Bottom up parsers—shift-reduce. operator precedence, and LR. YACC package on Unix system. Topdown parsers—left recursion and its removal. Recursive descent parser. Predictive parser, Intermediate codes—Quadruples, Triples. Intermediate code generation, Code generation, Code optimization. 8. Operating Systems (with Case Study of Unix) Main functions of operating systems. Multiprogramming. multiprocessing, and multitasking. Memory Management: Virtual memory, paging, fragmentation. Concurrent Processing: Mutual exclusion. Critical regions, lock and unlock. Scheduling: CPU scheduling. I/O scheduling, Resource scheduling, Deadlock and scheduling algorithms. Banker’s algorithm for deadlock handling.

UMX The Unix System: File system, process management. bourne shell, shell variables, command line programming. Filters and Commands: Pr, head, tail, cut, paste, sort, unlq. tr, join. etc., grep, egrep, fgrep, etc., sed, awk, etc. System Calls (like): Creat, open, close, read, write, Iseek, link, unlink, stat, fstat, umask, chmod. exec, fork, wait, system. 9. Software Engineering System Development Life Cycle (SDLC): Steps, Water fall model, Prototypes. Spiral model. Software Mefrics: Software Project Management. Software Design: System design, detailed design, function oriented design, object oriented design, user interface design. Design level metrics. Coding and Testing : Testing level metrics. Software quality and reliability. Clean room approach, software reengineering. 10. Current Trends and Technologies The topics of current interest In Computer Science and Computer Applications shall be covered. The experts shall use their judgement from time to time to Include the topics of popular Interest, which are expected to be known for an application development software professional, currently, they include Parallel Computing Parallel virtual machine (pvm) and message passing interface (mpi) libraries and calls. Advanced architectures. Today’s fastest computers. Mobile Contputing Mobile connectivity—CeUs, Framework, wireless delivery technology and switching methods, mobile Information access devices, mobile data internetworking standards, cellular data communication protocols, mobile computing applications. Mobile databases—protocols, scope, tools and technology. M-business. E-Technologies Electronic Commerce : Framework, Media Convergence of Applications, Consumer Applications. Organisation Applications.

Electronic Payment Systems: Digital Token, Smart Cards, Credit Cards, Risks In Electronic Payment System, Designing Electronic Payment Systems. Electronic Data Interchwige (EDI) : Concepts, Applications, (Legal, Security and Privacy) Issues, EDT and Electronic Commerce, Standardization and EDT, EDI Software Implementation, EDT Envelope for Message Transport, Internet-Based EDI. Digital Libraries and Data Warehousing: Concepts. Types of Digital documents, Issues behind document Infrastructure, Corporate Data Warehouses. Software Agents : Characteristics and Properties of Agents, Technology behind Software Agents (Applets, Browsers and Software Agents) Broadband Telecommunications: Concepts, Frame Relay, Cell Relay, Switched Multlmegablt Data Service. Asynchronous Transfer Mode. Main concepts In Geographical Information System (GIS), E-cash, E-Buslness, ERP packages. Data Warehousing: Data Warehouse environment, architecture of a data warehouse methodology, analysis, design, construction and administration. Data Mining: Extracting models and patterns from large databases, data mining techniques, classification, regression, clustering, summarization, dependency modelling, link analysis, sequencing analysis, mining scientific and business data. Windows Programming Introduction to Windows programmlng—W1n32, Microsoft Foundation Classes (MFC), Documents and views, Resources, Message handling in windows. Simple Applications (in windows) Scrolling, splitting views, docking toolbars. status bars, common dialogs. Advanced Windows Programming Multiple Document Interface (MDI), Multithreading. Object linking and Embedding (OLE). Active X controls. Active Template Library (Am). Network programming.

Best book for UGC NET Computer Science and Applications

UGC NET Computer Science and Applications Syllabus 2018

PAPER-III(A) CORE GROUP

Unit—I Combinational Circuit Design. Sequential Circuit Design. Hardwlred and Microprogrammed processor design. Instruction formats, Addressing modes. Memory types and organisation, Interfacing peripheral devices, Interrupts. Microprocessor architecture. Instruction set and Programming (8085, p-Iu/P-IV). Microprocessor applications. Unit—Il Database Concepts. ER diagrams, Data Models, Design of Relational Database. NormalisatiOfl, SQL and QBE. Query Processing and Optimisatlon. Centralised and Distributed Database, Security. Concurrency and Recovery In Centra]lsed and Distributed Database Systems. Object Oriented Database Management Systems (Concepts. Composite objects, Integration with RDBMS applications), ORACLE. Unit—Ill Display systems, Input devices, 2D Geometry, Graphic operations. 3D Graphics. Animation. Graphic standard, Applications. Concepts. Storage Devices. Input Tools, Authoring Tools. Application. Files. Unlt—IV Programming language concepts, paradigms and models. Data. Data types, Operators, Expressions, Assignment. Flow of Control—Control structures. I/O statements, User-defined and built-in functions, Parameter passing. Principles, classes, Inheritance, class hierarchies, polymorphism. dynamic binding, reference semantics and their implementation. Principles, functions, lists, types and polymorphisms. higher order functions, lazy evaluation, equations and pattern matching. Principles, horn clauses and their execution, logical variables, relations, data structures, controlling the search order, program development In prolog, implementation of prolog. example programs In prolog.

Principles of parallelism, coroutines, communication and execution. Parallel Virtual Machine (PVM) and Message Passing Interface (MPI) routines and calls. Parallel programs In PVM paradigm as well as MPI paradigm for simple problems like matrix multiplication. Preconditions, post-conditions, axiomatic approach for semantics, correctness, denotationa] semantics. Compiler structure, compiler construction tools, compilation phases. Finite Automata, Pushdown Automata. Non-determinism and NFA. DPDA, and PDAS and languages accepted by these structures. Grammars, Languages—types of grammars—type 0, type 1, type 2, and type 3. The relationship between types of grammars, and finite machines. Pushdown automata and Context Free Grammars. Lexical Analysis—regular expressions and regular languages. LEX package on Unix. Conversion of NFA to DFA. Minimizing the number of states In a DFA. Compilation and Interpretation. Bootstrap compilers. Context free grammars. Parsing and parse trees. Representation of parse (derivation) trees as rightmost and leftmost derivations. Bottom up parsers—shift-reduce, operator precedence, and LR. YACC package on Unix system. Topdown parsers—left recursion and its removal. Recursive descent parser. Predictive parser, Intermediate codes—Quadruples, triples. Intermediate code generation, code generation. Code optimization. Unit—V Analog and Digital transmission, Asynchronous and Synchronous transmission, Transmission media, Multiplexing and Concentration, Switching techniques, Polling. Topologies, Networking Devices, OS Reference Model, Protocols for—(i) Data link layer, (Ii) Network layer, and (lii) Transport layer. TCP/IP protocols, Networks security. Network administration. Unit—VI – Definition, Simple and Composite structures, Arrays. Lists. Stacks queues, Priority queues. Binary trees, B-trees, Graphs. Sorting and Searching Algorithms, Analysis of Algorithms, Interpolation and Binary Search. Asymptotic notations—big ohm, omega and theta. Average case analysis of simple programs like finding of a maximum of rt elements. Recursion and its systematic removal. Quicksort—Non-recursive implementation with minimal stack storage. Design of Algorithms (Divide and Conquer. Greedy method. Dynamic programming, Back tracking, Branch and Bound). Lower bound theory, Non-deterministic algorithm—Non-deterministic programming constructs. Simple non-deterministic programs. NP—hard and NP—complete problems.

Unit—VII Object, messages, classes, encapsulation. Inheritance, polymorphism. aggregation, abstract classes, generalization as extension and restriction. Object oriented design. Multiple inheritance, metadata. HTML. DHTML, XML, Scripting. Java, Servelets. Applets. Unit—VIII Software development models. Requirement analysis and specifications. Software design. Programming techniques and tools. Software validation and quality assurance techniques. Software maintenance and advanced concepts. Software management. Unit—IX Introduction. Memory management. Support for concurrent process, Scheduling. System deadlock, Multiprogramming system. I/O management, Distributed operating systems. Study of Unix and Windows NT. Unit—X Definitions, Al approach for solving problems. Automoted Reasonthg with propositional logic and predicate logic—fundamental proof procedure. refutation, resolution, refinements to resolution (ordering! prunlngf restriction strategies). State space representation of problems. bounding functions, breadth first, depth first, A. A’. A0, etc. Performance comparison of various search techniques. Frames, scripts, semantic nets, production systems. procedural representations. Prolog programming. Components of an expert system. Knowledge representation and Acquisition techniques. Building expert system and Shell. RTNs, ATNs, Parsing of Ambiguous CFGs. Tree Adjoining Grammars CrAGs). Systems approach to planning. Designing. Development, Implementation and Evaluation of MIS. Decision-making processes. evaluation of DSS, Group decision support system and case studies, Adaptive design approach to DSS development. Cognitive style in DSS. Integrating expert and Decision support systems.

UGC NET Computer Science and Applications Syllabus 2018

PAPER-III(B) ELECTIVE/OPTIONAL

Elective—I Theory of Computation : Formal language. Need for formal computational models, Non-computational problems, diagonal argument and Russel’s paradox. Deterministic Finite Automaton (DFA), Non-deterministic Finite Automaton (NFA), Regular languages and regular sets, Equivalence of DFA and NFA. Minimizing the number of states of a DFA. Non-regular languages, and Pumping lemma. Pushdown Automaton (PDA), Deterministic Pushdown Automaton (DPDA). Non-equfivalence of PDA and DPDA. Conteict free Grammars: Greibach Normal Form (GNF) and Chomsky Normal Form (CNF), Ambiguity. Parse Tree Representation of Derivations. Equivalence of PDA’s and CFG’s. Parsing techniques for parsing of general CFG’s—Early’s, Cook-Kassarni-Younger (CKY). and Tomita’s parsing. Linear Bounded Automata (LBA): Power of LBA. Closure properties. Thring Machine (1M): One tape, multitape. The notions of thne and space complexity in terms of TM. Construction of TM for simple problems. Computational complexity. Chonzsky Hierarchy of languages : Recursive and recursively-enumerable languages.

Elective—II Models for Information Channel : Discrete Memoryless Channel, Binary Symmetric Channel (BSC). Burst Channel. Bit-error rates. Probabffity, Entropy and Shannon’s measure of Information. Mutual information. Channel capacity theorem. Rate and optimality of Information transmission. Variable Length Codes: Prefix Codes, Huffmann Codes, Lempel-Ziev (12) Codes. Optimality of these codes. Information content of these codes. Error Correcting and Detecting Codes: Finite fields, Hamming distance, Bounds of codes, Linear (Parity Check) codes. Parity check matrix. Generator matrix, Decoding of linear codes, Hamming codes. Image Processing: Image Registration, Spatial Fourier Transforms, Discrete Spatial (2-dimensional) Fourier Transforms, Restoration, Lossy Compression of Images (pictures). Data Compression Techniques: Representation and compression of text, sound, picture, and video flies (based on the JPEG and MPEG standards).

Elective—Ill Linear Programming Problem (LPP) in the standard form, LPP In Canonical form. Conversion of LPP in Standard form to LPP in Canonical form. Simplex—Prevention of cyclic computations In Simplex and Tableau, Big-M method, dual simplex and revised simplex. Complexity of simplex algorithm(s). Exponential behaviour of simplex. Ellpso1d method and Karmakar’s method for solving LPPs. Solving simple LPPs through. these methods. Comparison of complexity of these methods. Assignment and Thmsportatlon Problems: Simple algorithms like Hungarian method, etc. Shortest Path Problems: DiJkstra’s and Moore’s method. Complexity. Network Flow Problem: Formulation. Max-Flow Mm-Cut theorem. Ford and Fulkerson’s algorithm. Exponential behaviour of Ford and Fulkerson’s algorithm. Ma1hotraPramodkumar-MaheShw (MPM) Polynomial algorithm for solving Network flow problem. Bipartite Graphs and Matchings: Solving matching problems using Network flow problems. Matroids: Definition. Graphic and Cographic matrolds. Matroid Intersection problem. Non-linear Programming : Kuhn-Tucker conditions. Convex functions and Convex regions. Convex programming problems. Algorithms for solving convex programming problems—Rate of convergence of iterative methods for solving these problems. Elective—IV Neuro.L Networks: Perceptron model. Linear separability and XOR problem. Two and three layered neural nets. BackpropagatiOfl_COflVergeflce. HopfIeld nets. Neural net learning. Applications. Fuzzy Systems: Definition of a Fuzzy set, Fuzzy relations, Fuzzy functions, Fuzzy measures, Fuzzy reasoning. Applications of Fuzzy systems. Elective-V Unix : Operating System. Structure of Unix Operating System. Unix Commands. Interfacing with Unix. Editors and Compilers for Unix, L,EX and YACC, File system. System calls. Filters. Shell programming. Windows : Windows environment, Urticode. Documents and Views. Drawing in a window, Message handling. Scrolling and Splitting views, Docking toolbars and Status bars, Common dialogs and Controls, MDI. Multlthreadlng. OLE, Active X controls, ATh. Database access, Network programming.

UGC NET Computer Science and Applications Syllabus 2018-DOWNLOAD

Best book for UGC NET Computer Science and Applications

UGC NET Computer Science and Applications Syllabus 2018

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lewisgabriel84z31 · 7 years ago

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Another round of selling, Cryptocurrency Price Analysis for 24-25 February

February began with a lot of selling and major dips across all cryptocurrencies. After a week prices started to go up slow and steady. Since then all major cryptocurrencies had an upward momentum. Last few days we saw that they struggle to keep this momentum and another round of selling has taken place.

Top 10 cryptocurrencies by market capitalization have almost identical graphs and price movement with small exceptions. However the price volatility tells us that there is excess selling right now. The price movement does not correlate to the technology improvements and the increasing user activity.

Few days ago GDAX and Coinbase implemented Segregated Witness (SegWit) to their networks which is a big solution for Bitcoin transaction prices and a big step forward. With the Lightning Network, privacy solutions like Bulletproofs and other fundamental developments coming up it will be interesting to see how they will influence the whole market.

Bitcoin (BTC)

Bitcoin has fallen below the 10 000$ mark. It had very strong support and was the last of the major cryptocurrencies to dip. For this week, Bitcoin peaked at just under 12 000$. At the lowest point it hovered just above the 9.500$ mark but this proved to be a critical support level for Bitcoin. It shows that Bitcoin

After that there was an encouraging bounce, but today Bitcoin went through the 9 500$ mark and dipped to just above 9 400$. The cryptocurrency is seeing great support at this price point and is currently holding its own. Going up Bitcoin needs to break key support levels at the 10 000$ and 11 000$. At 11 000$ will be the real test and the strongest resistance for Bitcoin.

The road up will be volatile as always with the same dips happening. Most likely, after Bitcoin breaks above the 10 000$ mark, strong support will emerge to strengthen the price above this mark. If the price falls below this mark again, the market will become bearish on Bitcoin.

Earlier this year, Bitcoin’s dominance index reached an all-time low at around 32%. This index measures Bitcoin’s market cap to the overall market cap of cryptocurrencies. On the way to 11 500$, this dominance index increased again to 39%. Bitcoin did perform better than Ethereum last weeks.

Ethereum (ETH)

Ethereum has struggled to stay above 900$. Currently at this price point is the most important action and the strongest resistance level for Ethereum. Again we expect a volatile road to the 1000$ mark with other rounds of selling maybe dipping again to the 800$ mark or below.

Last week Ethereum broke below the 800$ mark with key support emerging to quickly take Ethereum’s price above the water. We will keep our eyes on the action around the 900$ mark as it will be one of the key indicators on where the price will go after. Never the less, Bitcoin and Ethereum volumes are huge with a lot of trading taking place.

Ripple (XRP)

Ripple continues to sign new partners to its xRapid and xCurrent networks. These advancements however do not reflect on Ripple’s token at all. As of writing this guide, Ripple’s price is over 0.92$. The price was starting to dip below the 0.90$ mark, but just as the price started to fall huge volumes came in to float the price and to stabilize it above 0.92$.

Last week Ripple was doing great with a price between 1.10$ and 1.17$ but this new rounds of selling hit Ripple as hard as the other cryptocurrencies. We should expect Ripple to return to the strong levels above the 1$ mark. The greatest resistance will be faced above 1.20$ with huge selling orders being placed there. During the volatility Ripple will most likely move between the 0.90$ and 1.10$ levels before it can break out upwards.

Few words about altcoin price

Bitcoin Cash (BCH) also fell to the mass selling. Last week it had highs of above 1 500$ but fell to 1100$ last few days. As of writing this article the price is just above the 1 100$ mark and it looks like Bitcoin Cash has big support on this current level. The price in the next few days will probably play around this price point before it can break out with a lot of resistance being formed at the 1 400$ level. If the support fails we may see big dips below the 900$ mark.

Stellar Lumens (XLM) is currently outperforming Cardano (ADA). Cardano seems to be stuck in a deadlock of being oversold. The road going down is slippery with support levels thinning. Stellar on the other side is doing fairly good. In this round of selling XLM was hit like the rest of the major cryptocurrencies. However Stellar seems to have a stronger support level than Cardano. Bulls will most likely try to hold the 0.30$-0.35$ price range. If they manage to do so we can expect a breakout above with the next strong resistance level will be faced at just above 0.40$. If they do break it we may see Stellar with a quick rally to around 0.49$.

The last cryptocurrency i am going to talk about is Litecoin (LTC). Litecoin did have a stronger support than the other major cryptocurrencies. Litecoin’s price followed the selling action but was the quickest to recover alongside IOTA. Big volumes of support have emerged to quickly stabilize Litecoin above 210$. If Litecoin breaks the 200$ mark we may see further sinking to the 160$-170$ mark. However the cryptocurrency looks the strongest from the leaders and if it breaks the above resistance we may see Litecoin rise to 250$ before the other leaders.

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awesomejohnnyhifive · 8 years ago

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Empowering teams with Architectural Tools

If you haven’t had a chance to go back and read Jeff Darcy’s article on scalable server design, think about whether you have time. It’s good.

One of the things I got from that article that I have not ready elsewhere is the methodology he uses to find deadlock or resource contention in server products. If you didn’t pick it out or read the article, it’s pretty simple and I’ll repeat it here as succinctly as I can.

His advice is to draw a simple XY chart, and put along the X axis stages of your message processing. On the Y axis resources that your system can access that are contended or finite. Draw X’s in the graph where you have intersections. Your goal as a developer / architect is to design systems that have a straight line of X’s top to bottom, in a clean diagonal line. If you don’t then consider breaking up stages or resources to eliminate the bottle neck. If you have a perfect line, no contention, and you can look at your other scalability issues.

I have used that methodology successfully for years ... it’s simple, clean and it models your software architecture in a way that communicates to people both what their system looks like, and what you are trying to achieve. It’s part of what I’ve learned the hard way over time, diagrams that both communicate and are working tools are very hard to come by. In my experience people don’t make a lot of meaningful decisions on classic ‘layers & boxes’ diagrams over time. They make more in sequence diagrams when they take the time, and they make a lot of them on whiteboards with erasers ...

Coming back to the topic of complexity, why would this be relevant to my posts on complexity ? The first thing is it provides a diagram in an architectural sense that is sequential and easy to follow with teams. Teams could look at the diagram, and realize what they needed to do to reduce complexity and why, and as importantly where.

In my experience, that is huge. I’ve always believed that empowering teams to achieve is the surest and sometimes surprising path to success. This is a step a slightly different direction, providing a tool that teams can use to drive down complexity that isn’t a metric from a static analysis tool does not happen all that often. And you can do it on a ‘napkin’ with anyone that has a rudimentary understanding of how their software works.

The second impact of that tool on my thinking is going to take another post, it’s a bit more involved. The very first bit of training I did as an engineer out of school was on reliability engineering coupled with a bit of six sigma, and it’s strongly influenced how I think about software engineering and problems in general. The tool is one of the first sequentially focused architectural tools out there I’ve seen in software architecture, which makes it very susceptible to reliability modeling and analysis.

I’ll pick that one up another night.

#architecture

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its-veso · 6 years ago

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GBP/USD Forecast June 3-7 – Pound woes continues

GBP/USD[1] resumed its losing ways, posting considerable losses. There are five events on the calendar. Here is an outlook for the highlights of the upcoming week and an updated technical analysis for GBP/USD.

Elections to the European Parliament showed a surge in support for far-right parties across Europe, and the U.K. Brexit party was one of the big winners. The party won 29 seats, compared to 10 for Labour and just 4 for the Conservatives. A chastised Prime Minister May tweeted that it “was a very disappointing night for the Conservatives”. British voters sent a stinging message to the Conservatives and Labour for their handling of Brexit, which has dragged on past the original deadline, with no solution in sight. For investors, the worst-case scenario is a no-deal exit, which could undermine the economy and send the British pound sharply lower.

Tensions between the U.S. and China remain high, with no talks scheduled between the sides. On Friday, President Trump threatened to slap tariffs on all Mexican products, due to the illegal immigration problem. Although Trump said that tariffs would be set at just 5%, stock markets reacted with sharp losses, and a trade war between the U.S. and Mexico could hurt the pound if investors prefer the safety of the U.S. dollar.

GBP/USD daily graph with resistance and support lines on it. Click to enlarge:

Manufacturing PMI: Monday, 8:30. The PMI continues to indicate expansion, but has been slowing in recent months. The PMI dropped to 53.1 in April and the estimate for March stands at 52.5.

BRC Retail Sales Monitor: Monday, 23:01. The shop spending indicator posted a strong gain of 3.7% in April, after a decline of 1.1% a month earlier. The forecast for May stands at 0.9%.

Construction PMI: Tuesday, 8:30. The construction sector continues to struggle, as the PMI came in at 50.5 in April, which points to stagnation. The estimate for May stands at 50.6.

Services PMI: Wednesday, 8:30. The services industry is also pointing to stagnation, and the PMI came in at 50.4 in April. Little change is expected in May, with an estimate of 50.6.

Consumer Inflation Expectations: Friday, 8:30. This official gauge from the Bank of England is released each quarter. The indicator has been steady, posting two straight gains of 3.2%.

GBP/USD Technical analysis

Technical lines from top to bottom:

1.3170 was a swing high in early November.

1.3070 was a high point in mid-November.

The round number of 1.30 follows. 1.2910 (mentioned last [2]week[3]) is next.

1.2850 capped recovery attempts in late November.

1.2728 was active in the first half of January.

1.2660 remained relevant during the week. 1.2590 was a swing low in September 2017.

Lower, 1.25 is a round number and also worked as support in early 2017. Further down, 1.2420 and 1.2330 are notable.

1.2206 is the final support level for now.

I am bearish on GBP/USD

Rising trade tensions and a deadlock over Brexit is not a winning recipe for the pound, which fell 3.10% in the month of May. With the U.S. economy posting Q1 growth above 3%, the U.S. dollar should remain attractive to investors.

Further reading:

Safe trading!

Get the 5 most predictable currency pairs[4]

References

^ GBP/USD (www.forexcrunch.com)

^ last (www.forexcrunch.com)

^ eek (www.forexcrunch.com)

^ Get the 5 most predictable currency pairs (www.forexcrunch.com)

from Forex Crunch http://feedproxy.google.com/~r/ForexCrunch/~3/UWM8bMoYv-0/

#Forex News #Forex Crunch

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its-veso · 6 years ago

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GBP/USD Forecast April 15-19 – Brexit extended, but still unresolved

GBP/USD[1] showed little movement last week. It’s a busy week in the U.K, with employment, inflation and retail sales reports. Here is an outlook for the highlights of this week and an updated technical analysis for GBP/USD.

Britain and the EU agreed to extend Brexit until October, but with Britain hopelessly divided on what happens next, does the extension really change things? The monthly British GDP report showed that the economy slowed to 0.2% in February, compared to 0.5% a month earlier. There was better news on the manufacturing front, as manufacturing production jumped 0.9%, crushing the estimate of 0.2%.

In the U.S., inflation levels pointed higher in March. CPI, the key gauge of consumer spending, climbed to 0.4%, its highest gain since January 2018. The producer price index also looked strong, climbing 0.6%, marking a 5-month high.

GBP/USD daily graph with resistance and support lines on it. Click to enlarge:

Employment Data: Tuesday, 8:30. Wage growth has been steady, posting three straight gains of 3.4%. The February estimate stands at 3.5%. Unemployment rolls climbed to 27.0 in February, well above the estimate of 13.1 thousand. A lower reading is expected for March, with an estimate of 17.3 thousand. The unemployment rate is expected to remain pegged at 3.9%.

Inflation Data: Wednesday, 8:30. After losing ground in the second half of 2018, CPI has reversed directions in 2019, and improved to 1.9% in February. The upward trend is expected to continue in March, with a forecast of 2.0%. Core CPI came in at 1.8% in February, and is expected to improve to 1.9% in March.

Retail Sales: Thursday, 8:30. Retail sales is the primary gauge of consumer spending, a key driver of economic growth. The indicator slowed to 0.4% in February and the markets are bracing for a decline of -0.3% in March.

BOE Credit Conditions Survey: Thursday, 8:30. This quarterly report details lending data to consumers and small businesses. An upbeat survey points to stronger economic activity and is bullish for the pound.

GBP/USD Technical analysis

Technical lines from top to bottom:

The round number of 1.34 has held in resistance since June 2018.

1.3375 was a high point in July. It is followed by the round number of 1.3300 which saw activity during the week. It is currently a weak resistance line.

1.3217 was the high point of the pound rally in late January.

1.3170 was a swing high in early November.

1.3070 was a high point in mid-November.

Late in the week, the pair broke through support at the round number of 1.3000 (mentioned last [2]week[3]).

1.2910 has held in support since mid-February,

1.2850 capped recovery attempts in late November.

1.2728 was active in the first half of January.

1.2616 is the final support level for now.

I remain bearish on GBP/USD

Brexit has been extended, but the deadlock in parliament remains, and investors will remain concerned over the political turmoil and uncertainty. The British economy is showing signs of strain, and the pound could lose ground if economic data is not stronger than expected.

Further reading:

Safe trading!

Get the 5 most predictable currency pairs[4]

References

^ GBP/USD (www.forexcrunch.com)

^ last (www.forexcrunch.com)

^ eek (www.forexcrunch.com)

^ Get the 5 most predictable currency pairs (www.forexcrunch.com)

from Forex Crunch http://feedproxy.google.com/~r/ForexCrunch/~3/Ohn1hLBBKt0/

#Forex News #Forex Crunch

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its-veso · 6 years ago

Text

GBP/USD Forecast April 8-12 – Pound steady but Brexit headwinds ahead

GBP/USD was unchanged last week, after sustaining sharp losses a week earlier. Investors will be keeping a close eye on GDP and Manufacturing Production. Here is an outlook for the highlights of this week and an updated technical analysis for GBP/USD.

The Brexit deadline has been extended to April 12, but the deadlock over Britain’s withdrawal has not eased. PMI reports were a mixed bag. Manufacturing PMI improved to 55.1, its highest level in a year. However, Services and Construction PMI both came in under 50, which points to contraction.

U.S. numbers started the week on a sour note, as retail sales and durable goods orders posted declines and missed their forecasts. On Friday, employment data was mixed. Nonfarm payrolls came in at 196 thousand, easily beating the estimate of 172 thousand in March. Still, this reading was significantly lower than the December and January releases, both of which were above the 300-thousand level. Wage growth dipped to 0.1%, shy of the estimate of 0.3%.

GBP/USD daily graph with resistance and support lines on it. Click to enlarge:

Consumer Inflation Expectations: Monday, Tentative. Inflation expectations help analysts track actual inflation figures. The indicator climbed to 3.2% in the third quarter, its highest level in more than five years.

BRC Retail Sales Monitor: Monday, 23:01. The British Retail Consortium release has posted three declines in the past four months, pointing to weakness in consumer spending. Will we see a positive reading for March?

GDP: Wednesday, 8:30. This indicator provides a monthly breakdown of GDP data. In February, the economy posted a strong gain of 0.5%, above the estimate of 0.2%. However, with the Brexit turmoil weighing on the economy, the markets are expecting a weak gain of 0.2% in March.

Manufacturing Production: Wednesday, 8:30. The manufacturing production has struggled in recent months. The indicator surprised with a strong gain of 0.8% in January, after three straight declines. The forecast for February stands at 0.2%.

NIESR GDP Estimate: Wednesday, Tentative. This indicator, released monthly, helps analysts track GDP, which is posted quarterly. The indicator has been slowing and dropped to 0.1% in February.

RICS House Price Balance: Wednesday, 23:01. The Royal Institution of Chartered Surveyors indicator is pointing to deflation in house prices, with most surveyors showing a drop in house prices.

CB Leading Index: Friday, 13:30. The Conference Board release is based on 7 economic indicators. In January, the indicator declined 0.4%. Will see a rebound in the February release?

GBP/USD Technical analysis

Technical lines from top to bottom:

The round number of 1.34 has held in resistance since June 2018.

1.3375 was a high point in July. It is followed by the round number of 1.3300 which saw activity during the week. It is currently a weak resistance line.

1.3217 was the high point of the pound rally in late January.

1.3170 was a swing high in early November.

1.3070 was a high point in mid-November.

Late in the week, the pair broke through support at the round number of 1.3000 (mentioned last [1]week[2]).

1.2910 has held in support since mid-February,

1.2850 capped recovery attempts in late November.

1.2728 was active in the first half of January.

1.2616 is the final support level for now.

I remain bearish on GBP/USD

The Brexit crisis shows no signs of being resolved, as Prime Minister May has been unable to push her withdrawal agreement through parliament. This means that a hard Brexit, which would hurt the economy, remains a strong possibility. GDP and manufacturing production are expected to post weak gains, which could sour investors on the British currency.

Further reading:

Safe trading!

Get the 5 most predictable currency pairs[3]

References

^ last (www.forexcrunch.com)

^ eek (www.forexcrunch.com)

^ Get the 5 most predictable currency pairs (www.forexcrunch.com)

from Forex Crunch http://feedproxy.google.com/~r/ForexCrunch/~3/V6m9XL4GCZY/

#Forex News #Forex Crunch

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