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Netflix Sports Club Podcast


1 America’s Sweethearts: Dallas Cowboys Cheerleaders Season 2 - Tryouts, Tears, & Texas 32:48
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America’s Sweethearts: Dallas Cowboys Cheerleaders is back for its second season! Kay Adams welcomes the women who assemble the squad, Kelli Finglass and Judy Trammell, to the Netflix Sports Club Podcast. They discuss the emotional rollercoaster of putting together the Dallas Cowboys Cheerleaders. Judy and Kelli open up about what it means to embrace flaws in the pursuit of perfection, how they identify that winning combo of stamina and wow factor, and what it’s like to see Thunderstruck go viral. Plus, the duo shares their hopes for the future of DCC beyond the field. Netflix Sports Club Podcast Correspondent Dani Klupenger also stops by to discuss the NBA Finals, basketball’s biggest moments with Michael Jordan and LeBron, and Kevin Durant’s international dominance. Dani and Kay detail the rise of Coco Gauff’s greatness and the most exciting storylines heading into Wimbledon. We want to hear from you! Leave us a voice message at www.speakpipe.com/NetflixSportsClub Find more from the Netflix Sports Club Podcast @NetflixSports on YouTube, TikTok, Instagram, Facebook, and X. You can catch Kay Adams @heykayadams and Dani Klupenger @daniklup on IG and X. Be sure to follow Kelli Finglass and Judy Trammel @kellifinglass and @dcc_judy on IG. Hosted by Kay Adams, the Netflix Sports Club Podcast is an all-access deep dive into the Netflix Sports universe! Each episode, Adams will speak with athletes, coaches, and a rotating cycle of familiar sports correspondents to talk about a recently released Netflix Sports series. The podcast will feature hot takes, deep analysis, games, and intimate conversations. Be sure to watch, listen, and subscribe to the Netflix Sports Club Podcast on YouTube, Spotify, Tudum, or wherever you get your podcasts. New episodes on Fridays every other week.…
The Shared Columns that Pop Up in Many Tables
Manage episode 411341366 series 3112408
תוכן מסופק על ידי Software Engineering. כל תוכן הפודקאסטים כולל פרקים, גרפיקה ותיאורי פודקאסטים מועלים ומסופקים ישירות על ידי Software Engineering או שותף פלטפורמת הפודקאסט שלהם. אם אתה מאמין שמישהו משתמש ביצירה שלך המוגנת בזכויות יוצרים ללא רשותך, אתה יכול לעקוב אחר התהליך המתואר כאן https://he.player.fm/legal.
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Manage episode 411341366 series 3112408
תוכן מסופק על ידי Software Engineering. כל תוכן הפודקאסטים כולל פרקים, גרפיקה ותיאורי פודקאסטים מועלים ומסופקים ישירות על ידי Software Engineering או שותף פלטפורמת הפודקאסט שלהם. אם אתה מאמין שמישהו משתמש ביצירה שלך המוגנת בזכויות יוצרים ללא רשותך, אתה יכול לעקוב אחר התהליך המתואר כאן https://he.player.fm/legal.
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A 671B parameter Mixture-of-Experts language model. It highlights the model's architecture, including its innovative load balancing and multi-token prediction strategies, and its efficient training process using FP8 precision. Benchmark results demonstrate DeepSeek-V3's strong performance compared to other open-source and some closed-source models, particularly in math and code tasks. The document also provides instructions for running DeepSeek-V3 locally using various frameworks and hardware, including NVIDIA and AMD GPUs and Huawei Ascend NPUs. Finally, licensing and contact information are included.…
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1 Paper: Attention is all you need 17:52
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1 Unifying the Dev, Test, and Prod Divide 12:58
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The single-environment paradigm in software development, contrasting it with the traditional multi-environment approach. Consolidating development, testing, and production simplifies processes and reduces deployment risks. This is achieved through strategies like progressive deployment, test-driven development, CI/CD, and carefully managed production testing using techniques such as dry runs, shadow traffic, and canary releases.…
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1 🪓 Design a Parking Lot - System Design Interview Question 11:07
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In a system design interview, you will be asked to design a complex system, such as a website, mobile app, or network infrastructure. The interviewer will evaluate your ability to decompose the problem into smaller subproblems, make trade-offs between different design decisions, and consider the scalability and performance of the final solution. The key to success in a system design interview is to clearly communicate your thought process and trade-offs, rather than getting bogged down in low-level implementation details.…
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Here we discuss some of the most interesting product interview questions in the data area and in the data world
An intro to blockchain technology
What does term frequency means and what is its relationship with inverse document frequency that we use in order to identify categories of documents and in order to find testament and many more applications of this topic
Python dependency management and packaging made easy. ... Poetry comes with all the tools you might need to manage your projects in a deterministic way
In computer networks, rate limiting is used to control the rate of requests sent or received by a network interface controller. It can be used to prevent DoS attacks and limit web scraping
dbt - Transform data in your warehouse What is dbt? dbt is a development framework that combines modular SQL with software engineering best practices to make data transformation reliable, fast,
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HashAggregateExec is a unary physical operator (i.e. with one child physical operator) for hash-based aggregation that is created (indirectly through AggUtils.
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The Spark SQL shuffle is a mechanism for redistributing or re-partitioning data so that the data is grouped differently across partitions
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We have two types of automatic backups in dynamodb one is point in time and another one is snapshots.
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System design
Giorgia Meloni is an Italian politician and journalist. A member of the Chamber of Deputies in Italy since 2006, she has led the Brothers of Italy political party since 2014, and has been the president of the European Conservatives and Reformists Party since 2020.
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Apache spark unit tests
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📚 Book - The Psychology of Money - https://www.amazon.com/Psychology-Money-Timeless-lessons-happiness/dp/0857197681#?&_encoding=UTF8&tag=planetizer0c-20&linkCode=ur2&linkId=c18c78f3d241db79ce045de652b93722&camp=1789&creative=9325
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How can we pivot on spark?
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Why a single file on your repository that describes the project could make life much easier for newcomer programmers
DataFrame.createOrReplaceTempView - Creates or replaces a local temporary view with this DataFrame. The lifetime of this temporary table is tied to the SparkSession that was used to create this DataFrame.
Spark SQL is a Spark module for structured data processing. It provides a programming abstraction called DataFrames and can also act as a distributed SQL query engine. It enables unmodified Hadoop Hive queries to run up to 100x faster on existing deployments and data.
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We will describe how to use Apache Spark to get top 100 words from a file!
📚 Book - https://amzn.to/39ty0Tq - "Terraform: Up & Running: Writing Infrastructure as Code" Terraform init will download all the dependencies needed by the terraform project like when you have a clean maven project, and running almost any mvn command will pull down the dependencies. tags in terraform helps you set the additional tag properties of the resources, if you want to set the name of the resource that would appear in aws then you need to set the tag with specific key and this key is Name actual names of resources, so if you would like to create a vpc resource in aws with name "myvpc" you need to actually set its tags which is different from aws tags you would set the tags { Name = "MyVpc" } and this would set the name of the resource in aws and not the tags in aws. Create EC2 The terraform name aws_instance The 2 mandatory arguments are ami and instance_type Example resource "aws_instance "MyEc2Instance" { ami = "ami_287428346" // some aws ami instance_type = "t2.micro" } Note to reference an id of a terraform instance need to specify ..id so aws_vpc.myvpc.id When we set an "aws_eip" which is elastic ip we have to tell it for which ec2 instance we assign it to, so the resource contains the "instance" property that we have to set. Aws account can give us up to 5 elastic ips. Security group - statefull firewall - stateful means if we allowed some traffic going in it would automatically allow traffic to go out, in stateless we have to set explicitly the input to the firewall and the output. resource "aws_security_group" "MySecurityGroup" { name = "Allow HTTPS" ingress { from_port = 443 to_port = 443 # This is a range of ports from to to is not output. protocol = "TCP" cird_blocks = ["0.0.0.0/0"] # All traffic. } egress { } } Then we can reference this MySecurityGroup from various resources such as ec2 instances. Dynamic Blocks - iterator, for_each var.mylistvar , content = port.value This allows us to use for_each.prefix the block you want to use the list for each in dynamic example variable "ingressrules" { # Here you set the list variable holding the data to be dynamically included. type = list(number) default = [80, 443] } dynamic "ingress" { # Now iterate and use the above list defined above. iterator = port for_each = var.ingressrules content { from_port = port.value } } Terraform dynamic blocks and security groups definition in Terraform and AWS elastic IP definition in Terraform and EC2 We continue also to investigate what does terraform init means.…
AWS elastic IP is not dynamic for itself it's actually a static public IPv4 IP so why is it called elastic because we dynamically assign it to host so if our host or easy to instance is down we can programmatically and dynamically assign such a static public IP into this new host so it's used for resiliency…
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Unresilient World
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With terraform we can use variables for example an integer which is defined as a number or a string or a list of strings and then we can reference these variables further down in the code in order to reuse them you can also output variables to the screen and we could also ask the customer to input interactively variable values into the console In this session - init plan apply destroy - state file - variables - terraform pattern consistent - resource keyword - resource identifier "aws_vpc" - our name "mypc" - in curly braces the parametesrs like cidr_block = "10.0.0.0/16" - `terraform init` - i's like mvn install - Download the plugins to use aws - We can run this command after created main.tf - pull down modules - `terraform plan` - will show what's its going to do - checks state - Get developer style diff before commit - What already created which diff - don't want to loose this state file - `terraform apply` - showing the diff - click `yes` to continue - resources created in aws! - `terraform destroy` - to delete all reources - confirm - `state file` `terraform.tfstate` - we can see locally all that we created with terraform! - this file will have ALL resources created by terraform - visibility! - we want this file to get missing - json format - .bak - track changes we made - used for diff # Variables - define variables - folder `variables` - `default` is like the value - we have `type` and then `default` for default value - `main.tf` create file in that folder ```json variable "vpcname" { type = string (or number boolean list(string) with values ["val1", "val2"] to access 1 [0]) default = "myvpc" } variable "mymap" { type = map default = { key1 = "value1" key2 = "value2" } } variable "mytuple" { type tuple([string, number, string]) default = ["mystr1", 45, "mystr2"] } variable "myobject" { type = object({name = string, port = number}) default { name = "myval1" default = "232" } } ``` - cidr_range would get used multiple times so just put it in var - use variables - `var.myvarname` can also be done with string interpolation - `var.mylist[0]` - `var.mymap["Key1"]` - interactive input variables ```json variable "inputname" { type = string description = "please enter value for input name" } ``` next use this - `var.inputname` as usuall - `terraform plan` will now ask to input the input vars values # Outputs ```json output "myoutput" { value = aws_vpc.myvpc.id } ``` so nw we can print the dynamic id we get when we run terraform. run `terraform plan` will not print the id as it's created only after the apply is run and resources actually run.…
Terraform main operations such as init plan apply and destroy and the state file telephone is a infrastructure as code tool a command line to help us create infrastructure with standard adjacent files and then run telephone apply in order to actually create this infrastructure either in AWS cloud or Google cloud or azure cloud or any other cloud provider even locally and it has many plugins. In this session init plan apply destroy state file variables terraform pattern consistentresource keyword resource identifier "aws_vpc" our name "mypc" in curly braces the parametesrs like cidr_block = "10.0.0.0/16" terraform init i's like mvn install Download the plugins to use aws We can run this command after created main.tf pull down modules terraform plan will show what's its going to do checks stateGet developer style diff before commit What already created which diff don't want to loose this state file terraform apply showing the diff click yes to continue resources created in aws! terraform destroy to delete all reources confirm state file terraform.tfstate we can see locally all that we created with terraform! this file will have ALL resources created by terraform visibility! we want this file to get missing json format .bak track changes we made used for diff Terraform main operations and components are: - [1] init [2] plan [3] apply [4] destroy - State files - variables - terraform pattern consistent - resource keyword - resource identifier "aws_vpc" - our name "mypc" - in curly braces the parametesrs like cidr_block = "10.0.0.0/16" - `terraform init` - i's like mvn install - Download the plugins to use aws - We can run this command after created main.tf - pull down modules - `terraform plan` - will show what's its going to do - checks state - Get developer style diff before commit - What already created which diff - don't want to loose this state file - `terraform apply` - showing the diff - click `yes` to continue - resources created in aws! - `terraform destroy` - to delete all reources - confirm - `state file` `terraform.tfstate` - we can see locally all that we created with terraform! - this file will have ALL resources created by terraform - visibility! - we want this file to get missing - json format - .bak - track changes we made - used for diff…
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Telephone is a language declarative language for defining resources here we will describe their form in it and the command line how to install with regards to interjeed idea plugin and also the visual studio plugin
What are the differences in between the Bernoulli the binomial and the poison distributions and what are they
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Coders Vs Managers
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Dynamo the big global tables allow us to have application of course region of a multi master multi replica database
Netflix stock is down 70% from the top of $600 to $200
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This is going to be how to create a model with pandas very quickly in a few lines a linear regression and random voice and then to fit it to predict the output to separate in between x and y
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The US economy currently has a 30 trillion depth and is trying to fight inflation by rising interest rates and also by doing quantitative tightening
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📚 "Amazon DynamoDB: Developer Guide" - https://amzn.to/37mljbJ
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In machine learning versus statistics and statistics we are trying more to describe things and in machine learning to predict we have supervised and unsupervised learning and supervised is divided further into classification and regression
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Digital Computers
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The Apache Airflow project is an orchestration project for learning jobs offline managing them it has a web UI it has a scheduler.
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He loves some tips about the go programming language such as a go channels go routines how to serialize and deserialize Jsons how to create tests how to want test coverage and more.
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Interest rate, debt, inflation
Everyone says rebalance but it takes time right? Here is my tip on how to make it super easy!!!
What happens to savings
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💲Estimate Earnings
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💲Meta Facebook Stock $384 --> $170
Is Tesla stock a good buy right now
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Inflation money printing and recession
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🃏ReactJs for Backend Programmers
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Skills Vs Goals
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Data Model Pradigms
Loan Economy
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Modern Money Theory
Aws DynamoDb
More on Sql
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What is Metaverse
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Networking for developers
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The Sorrows of Young Werther is a 1774 epistolary novel by Johann Wolfgang von Goethe, which appeared as a revised edition in 1787. It was one of the main novels in the Sturm und Drang period in German literature, and influenced the later Romantic movement
Edge Computing
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Type1 Type2 Errors
Light
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Jurgan Hobernass
Tech Cycles
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Dimensional Modelling
Beyond Good and Evil / Friedrich Nietzsche
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Large Codebases Maintenance
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Media Consumption in Modern Age
Avl Trees
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Active Passive Economy
Cross-Origin Resource Sharing (CORS) - HTTP
Appstores
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1 💰 Investing when everything is at all time high 10:07
10:07
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הפעל מאוחר יותר
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אהבתי10:07
Investing when everything is at all time high or even bubbled
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Component Vs Unit Testing
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pbcopy will allow you to copy the output of a command right into your clipboard. Vice-versa for pbpaste — it will allow you to paste your clipboard
Virus Battle
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Hiring software developers
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MacBook Setup for Developers
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In computer science, a segment tree, also known as a statistic tree, is a tree data structure used for storing information about intervals, or segments. It allows querying which of the stored segments contain a given point
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In computer science, a topological sort or topological ordering of a directed graph is a linear ordering of its vertices such that for every directed edge uv from vertex u to vertex v, u comes before v in the ordering. ... Topological sorting has many applications especially in ranking problems such as feedback arc set…
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The PMF is one way to describe the distribution of a discrete random variable. ... The cumulative distribution function (CDF) of random variable X is defined as FX(x)=P(X≤x), for all x∈R. Note that the subscript X indicates that this is the CDF of the random variable X. Also, note that the CDF is defined for all x∈R.…
Do you document the architecture? How? How do we document it while keeping it from stale? Are the patterns? And what should we write there to help programmers the most?
The principal components of a collection of points in a real coordinate space are a sequence of p unit vectors, where the i-th vector is the direction of a line that best fits the data while being orthogonal to the first i-1 vectors
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Zero is a web framework to simplify modern web development. It allows you to build your application without worrying about package management or routing.
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Jinja Jinja Jinja is a fast, expressive, extensible templating engine. Special placeholders in the template allow writing code similar to Python syntax. Then the template is passed data to render the final document.
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