presentation on data science with python
•Download as PPTX, PDF•
0 likes•104 views
The document discusses a seminar on data science with Python. It defines data science as using insights from data to help business leaders make better decisions. Python is described as a popular and free tool for data analysis, visualization, and machine learning tasks in data science. The seminar covers Python basics like data types, looping, and libraries like NumPy for mathematics and Pandas for working with table-like data. Real-world applications of data science are also mentioned.
Report
Share
Report
Share
Recommended
Traceroute- A Networking Tool
Traceroute is a utility that send an ICMP packets from our computer to user input destination and displays information about what is happening to the packet on each point along the path.
chapter 2 architecture
This document discusses various distributed system architectures including centralized, decentralized, and hybrid architectures. It covers software architectures like layered architectures, object-based architectures, and event-based architectures. It also discusses system architectures including client-server, peer-to-peer, structured P2P (like Chord and CAN), unstructured P2P, and hybrid architectures combining centralized and decentralized elements like edge server systems and collaborative distributed systems. Middleware is described as sitting between applications and distributed platforms to provide distribution transparency. Adaptability techniques like interceptors, separation of concerns, reflection, and feedback control loops are also summarized.
TCP/IP 3-way Handshake
The document describes the TCP 3-way handshake process used to establish a connection between a client and server in a TCP/IP network. It involves 3 steps: 1) the client sends a SYN packet to the server, 2) the server responds with a SYN-ACK packet to acknowledge the client's SYN and identify its own sequence number, and 3) the client sends an ACK packet to the server to acknowledge receiving the SYN-ACK and complete the handshake process, allowing data transfer to begin.
RDM 2020: Python, Numpy, and Pandas
The Princeton Research Data Management workshop, breakout session on Python.
https://github.com/henryiii/pandas-notebook
deadlock avoidance
Deadlock occurs when a set of blocked processes form a circular chain where each process waits for a resource held by the next process. There are four necessary conditions for deadlock: mutual exclusion, hold and wait, no preemption, and circular wait. The banker's algorithm avoids deadlock by tracking available resources and process resource needs, and only allocating resources to a process if it will not cause the system to enter an unsafe state where deadlock could occur. It uses matrices to represent allocation states and evaluates requests to ensure allocating resources does not lead to deadlock.
CS6004 Cyber Forensics
INTRODUCTION TO COMPUTER FORENSICS
Introduction to Traditional Computer Crime, Traditional problems associated with Computer Crime. Introduction to Identity Theft & Identity Fraud. Types of CF techniques – Incident and incident response methodology – Forensic duplication and investigation. Preparation for IR: Creating response tool kit and IR team. – Forensics Technology and Systems – Understanding Computer Investigation – Data Acquisition.
Cpu scheduling
This document discusses various CPU scheduling algorithms such as FCFS, SJF, priority scheduling, and round robin. It covers the basic concepts of scheduling, criteria for evaluating algorithms, examples of single processor and multiprocessor scheduling, and examples of scheduling in operating systems like Windows and Mac OS. The goal of scheduling is to allocate CPU time effectively among competing processes or threads.
TCP/IP – Transmission Control Protocol/ Internet Protocol
TCP/IP – Transmission Control Protocol/ Internet ProtocolWe Learn - A Continuous Learning Forum from Welingkar's Distance Learning Program.
In this presentation, we will discuss in details about the TCP/ IP framework, the backbone of every ebusiness.
To know more about Welingkar School’s Distance Learning Program and courses offered, visit:
http://www.welingkaronline.org/distance-learning/online-mba.html
Recommended
Traceroute- A Networking Tool
Traceroute is a utility that send an ICMP packets from our computer to user input destination and displays information about what is happening to the packet on each point along the path.
chapter 2 architecture
This document discusses various distributed system architectures including centralized, decentralized, and hybrid architectures. It covers software architectures like layered architectures, object-based architectures, and event-based architectures. It also discusses system architectures including client-server, peer-to-peer, structured P2P (like Chord and CAN), unstructured P2P, and hybrid architectures combining centralized and decentralized elements like edge server systems and collaborative distributed systems. Middleware is described as sitting between applications and distributed platforms to provide distribution transparency. Adaptability techniques like interceptors, separation of concerns, reflection, and feedback control loops are also summarized.
TCP/IP 3-way Handshake
The document describes the TCP 3-way handshake process used to establish a connection between a client and server in a TCP/IP network. It involves 3 steps: 1) the client sends a SYN packet to the server, 2) the server responds with a SYN-ACK packet to acknowledge the client's SYN and identify its own sequence number, and 3) the client sends an ACK packet to the server to acknowledge receiving the SYN-ACK and complete the handshake process, allowing data transfer to begin.
RDM 2020: Python, Numpy, and Pandas
The Princeton Research Data Management workshop, breakout session on Python.
https://github.com/henryiii/pandas-notebook
deadlock avoidance
Deadlock occurs when a set of blocked processes form a circular chain where each process waits for a resource held by the next process. There are four necessary conditions for deadlock: mutual exclusion, hold and wait, no preemption, and circular wait. The banker's algorithm avoids deadlock by tracking available resources and process resource needs, and only allocating resources to a process if it will not cause the system to enter an unsafe state where deadlock could occur. It uses matrices to represent allocation states and evaluates requests to ensure allocating resources does not lead to deadlock.
CS6004 Cyber Forensics
INTRODUCTION TO COMPUTER FORENSICS
Introduction to Traditional Computer Crime, Traditional problems associated with Computer Crime. Introduction to Identity Theft & Identity Fraud. Types of CF techniques – Incident and incident response methodology – Forensic duplication and investigation. Preparation for IR: Creating response tool kit and IR team. – Forensics Technology and Systems – Understanding Computer Investigation – Data Acquisition.
Cpu scheduling
This document discusses various CPU scheduling algorithms such as FCFS, SJF, priority scheduling, and round robin. It covers the basic concepts of scheduling, criteria for evaluating algorithms, examples of single processor and multiprocessor scheduling, and examples of scheduling in operating systems like Windows and Mac OS. The goal of scheduling is to allocate CPU time effectively among competing processes or threads.
TCP/IP – Transmission Control Protocol/ Internet Protocol
TCP/IP – Transmission Control Protocol/ Internet ProtocolWe Learn - A Continuous Learning Forum from Welingkar's Distance Learning Program.
In this presentation, we will discuss in details about the TCP/ IP framework, the backbone of every ebusiness.
To know more about Welingkar School’s Distance Learning Program and courses offered, visit:
http://www.welingkaronline.org/distance-learning/online-mba.html
Classical Encryption
The document discusses classical encryption techniques such as the Caesar cipher, monoalphabetic ciphers, the Playfair cipher, and polyalphabetic ciphers. It explains the basic principles of how each technique works to encrypt plaintext into ciphertext and highlights some of their weaknesses, such as being vulnerable to frequency analysis for the monoalphabetic ciphers. The document also introduces block ciphers and stream ciphers as two general categories of encryption algorithms.
Introduction to python
This document provides an overview of the Python programming language. It discusses what Python is, its key features, who uses it, common applications, and how to download and install Python. It then covers Python syntax concepts like identifiers, keywords, multiline statements, docstrings, indentation, comments, and string formatting. The document also introduces Python data types like numbers, strings, lists, tuples, dictionaries, sets and how to work with them. It describes how to convert between number types and access/update strings and lists. Finally, it discusses Python development environments like Anaconda and Spyder.
Classical problem of synchronization
The document discusses three classical synchronization problems: the dining philosophers problem, the readers-writers problem, and the bounded buffer problem. For each problem, it provides an overview of the problem structure, potential issues like deadlock, and example semaphore-based solutions to coordinate access to shared resources in a way that avoids those issues. It also notes some applications where each type of problem could arise, like processes sharing a limited number of resources.
Socket System Calls
This document contains information about TCP/IP sockets and network programming in C, including:
1) It defines the sockaddr_in structure for IPv4 socket addressing with fields for the address family, port number, and 32-bit IPv4 address.
2) It describes the basic socket calls like socket(), bind(), listen(), accept(), connect(), read(), write(), and close() used for network programming.
3) It provides code examples for a simple TCP echo client and server to illustrate how these socket calls are used for communication between networked applications.
Dns2
This document discusses DNS (Domain Name System) name servers and protocols. It begins with an introduction to DNS and its hierarchical database structure. It then describes different types of DNS servers such as primary, secondary, caching, and root servers. The document outlines standard DNS resource record formats and types. It explains DNS protocols, including queries, responses and zone transfers. Finally, it discusses some common DNS attacks such as cache poisoning and DDoS attacks using DNS.
Green Computing
The document discusses green computing and its history and approaches. It describes how green computing aims to efficiently use computing resources while accounting for environmental and social impacts. The document outlines the pathway to greening computing through approaches like virtualization, power management, green design, and telecommuting. It provides examples of green computing initiatives and technologies like Blackle, the Zonbu computer, and Asus Eee PC ultraportables. The conclusion states that consumer adoption of green computing has been slow but materials and efficiency will continue improving over time.
How To List Files on Remote Server - PowerShell
This document provides instructions for using a PowerShell script to list files on a remote server. It describes prerequisites like setting the execution policy and provides the PowerShell code to read user input for a drive and directory and list the first five text files from a remote server. The script outputs whether servers are reachable, paths not found, or lists the files to a text file.
chapter 5 CPU scheduling.ppt
The document discusses different CPU scheduling algorithms used in operating systems. It describes first-come, first-served (FCFS) scheduling, which schedules processes in the order they arrive. Shortest job first (SJF) scheduling prioritizes the shortest jobs. Round-robin (RR) scheduling allocates each process a time slice or quantum to use the CPU before switching to another process. The document also covers shortest remaining time next, preemptive priority scheduling, and some of the criteria used to evaluate scheduling algorithms like CPU utilization, throughput, waiting time and response time.
Basic socket programming
The document discusses network programming with sockets. It outlines basic socket programming concepts like client-server models, TCP and UDP services, and BSD sockets. It then describes key socket functions for creation and setup, establishing connections, sending/receiving data, and tearing down connections.
Best Python Libraries For Data Science & Machine Learning | Edureka
This document provides an overview of popular Python libraries for data science and machine learning tasks. It discusses libraries for statistical analysis (NumPy, SciPy, Pandas, StatsModels), data visualization (Matplotlib, Seaborn, Plotly, Bokeh), machine learning (Scikit-learn, XGBoost, Eli5), deep learning (TensorFlow, Keras, Pytorch), and natural language processing (NLTK, SpaCy, Gensim). For each category, it lists the top libraries and briefly describes their main functionalities. The document serves as an introduction to the Python data science ecosystem.
Cloud Forensics
This document summarizes a project on cloud forensics. It discusses cloud computing models like SaaS, PaaS, and IaaS. It describes implementing a private Eucalyptus cloud and testing live forensics via virtual introspection and recovering ephemeral data from previous cloud tenants. It demonstrates recovering data from a physical disk but not from a new virtual instance due to sparse files. The document concludes ephemeral data is not accessible to new tenants in Eucalyptus clouds due to sparse files and zero-filling.
CPU scheduling
* Using SJF preemptive scheduling:
P2 will execute from time 0 to 5 ms.
P3 will execute from time 5 to 8 ms.
P1 will execute from time 8 to 18 ms.
P4 will execute from time 18 to 38 ms.
P5 will execute from time 38 to 40 ms.
Total waiting time = (10-5) + (8-5) + (18-0) + (38-5) + (40-10) = 5.6 + 3 + 18 + 33 + 30 = 90
Average waiting time = Total waiting time / Number of processes = 90/5 = 5.6 ms
* Using Priority preemptive scheduling
DNS(Domain Name System)
The document discusses the Domain Name System (DNS), which translates domain names to IP addresses. It has three main components: the name space that defines the domain name structure, resolvers that extract information from name servers, and name servers that store information about the domain name structure. The DNS uses a hierarchical and distributed database to map domain names to IP addresses across a network like the internet.
Historia de los compiladores
Este documento describe la historia y características de varios lenguajes de programación como Fortran, Pascal y C, así como los compiladores asociados a cada uno de ellos. Explica que un compilador traduce un programa escrito en un lenguaje de programación a otro equivalente, y que a lo largo de los años los compiladores han evolucionado para ser capaces de crearse más rápidamente, a diferencia de los primeros compiladores que tardaron años en desarrollarse.
First Come First Serve
First come first serve. A simple slide demonstration of FCFS regarding Operating System subject Computer Applications
Network Forensics
Network forensics involves collecting and analyzing network data and traffic to determine how attacks occur. It is important to establish standard forensic procedures and know normal network traffic patterns to detect variations. Tools like packet analyzers, Sysinternals, and honeypots can help monitor traffic and identify intrusions. The Honeynet Project aims to increase security awareness by observing new attacker techniques.
CPU scheduling algorithms in OS
This document discusses different CPU scheduling algorithms. It describes the First Come First Serve (FCFS), Shortest Job First (SJF), Priority Scheduling (PS), and Round Robin (RR) algorithms. Each algorithm is evaluated based on criteria like average turnaround time, waiting time, and CPU utilization. FCFS is found to have the highest CPU utilization but higher average turnaround times. SJF provides the lowest average turnaround times but can cause starvation of longer jobs. RR provides fairness but the time quantum setting impacts efficiency. The best algorithm depends on the specific performance measures and system requirements.
Operating systems chapter 5 silberschatz
This document provides an overview of CPU scheduling algorithms in operating systems. It begins with basic concepts like CPU utilization and I/O burst cycles. It then discusses various scheduling criteria like throughput and turnaround time. Common scheduling algorithms covered include first-come first-served, shortest job first, round robin, priority scheduling, and multilevel queue scheduling. It also addresses thread scheduling, multiprocessor scheduling, and real-time scheduling. The objectives are to describe and evaluate various CPU scheduling algorithms based on scheduling criteria.
Linux Kernel I/O Schedulers
This presentation gives an overview of Linux kernel block I/O susbsystem functionality, importance of I/O schedulers in Block layer. It also describes the different types of I/O Schedulers including the Deadline I/O scheduler, Anticipatory I/O Scheduler, Complete Fair queuing I/O scheduler and Noop I/O scheduler.
Arp and rarp
This document discusses ARP and RARP protocols. ARP associates IP addresses with physical addresses to allow communication on a LAN. RARP performs the inverse, associating physical addresses with IP addresses. The document includes objectives, figures illustrating ARP and RARP operation and positioning in the TCP/IP stack, examples of ARP cache usage, and details on ARP and RARP packet formats and processing. It aims to explain the need, components, and interactions of the ARP and RARP protocols.
intro to python.pptx
Python is a popular programming language created in 1991 by Guido van Rossum. It can be used for web development, software development, mathematics, and system scripting. Python code can be executed immediately as it is written due to its interpreter system, allowing for quick prototyping. It works across different platforms and has a simple, English-like syntax. Common data types in Python include numeric, string, list, and tuple types.
More Related Content
What's hot
Classical Encryption
The document discusses classical encryption techniques such as the Caesar cipher, monoalphabetic ciphers, the Playfair cipher, and polyalphabetic ciphers. It explains the basic principles of how each technique works to encrypt plaintext into ciphertext and highlights some of their weaknesses, such as being vulnerable to frequency analysis for the monoalphabetic ciphers. The document also introduces block ciphers and stream ciphers as two general categories of encryption algorithms.
Introduction to python
This document provides an overview of the Python programming language. It discusses what Python is, its key features, who uses it, common applications, and how to download and install Python. It then covers Python syntax concepts like identifiers, keywords, multiline statements, docstrings, indentation, comments, and string formatting. The document also introduces Python data types like numbers, strings, lists, tuples, dictionaries, sets and how to work with them. It describes how to convert between number types and access/update strings and lists. Finally, it discusses Python development environments like Anaconda and Spyder.
Classical problem of synchronization
The document discusses three classical synchronization problems: the dining philosophers problem, the readers-writers problem, and the bounded buffer problem. For each problem, it provides an overview of the problem structure, potential issues like deadlock, and example semaphore-based solutions to coordinate access to shared resources in a way that avoids those issues. It also notes some applications where each type of problem could arise, like processes sharing a limited number of resources.
Socket System Calls
This document contains information about TCP/IP sockets and network programming in C, including:
1) It defines the sockaddr_in structure for IPv4 socket addressing with fields for the address family, port number, and 32-bit IPv4 address.
2) It describes the basic socket calls like socket(), bind(), listen(), accept(), connect(), read(), write(), and close() used for network programming.
3) It provides code examples for a simple TCP echo client and server to illustrate how these socket calls are used for communication between networked applications.
Dns2
This document discusses DNS (Domain Name System) name servers and protocols. It begins with an introduction to DNS and its hierarchical database structure. It then describes different types of DNS servers such as primary, secondary, caching, and root servers. The document outlines standard DNS resource record formats and types. It explains DNS protocols, including queries, responses and zone transfers. Finally, it discusses some common DNS attacks such as cache poisoning and DDoS attacks using DNS.
Green Computing
The document discusses green computing and its history and approaches. It describes how green computing aims to efficiently use computing resources while accounting for environmental and social impacts. The document outlines the pathway to greening computing through approaches like virtualization, power management, green design, and telecommuting. It provides examples of green computing initiatives and technologies like Blackle, the Zonbu computer, and Asus Eee PC ultraportables. The conclusion states that consumer adoption of green computing has been slow but materials and efficiency will continue improving over time.
How To List Files on Remote Server - PowerShell
This document provides instructions for using a PowerShell script to list files on a remote server. It describes prerequisites like setting the execution policy and provides the PowerShell code to read user input for a drive and directory and list the first five text files from a remote server. The script outputs whether servers are reachable, paths not found, or lists the files to a text file.
chapter 5 CPU scheduling.ppt
The document discusses different CPU scheduling algorithms used in operating systems. It describes first-come, first-served (FCFS) scheduling, which schedules processes in the order they arrive. Shortest job first (SJF) scheduling prioritizes the shortest jobs. Round-robin (RR) scheduling allocates each process a time slice or quantum to use the CPU before switching to another process. The document also covers shortest remaining time next, preemptive priority scheduling, and some of the criteria used to evaluate scheduling algorithms like CPU utilization, throughput, waiting time and response time.
Basic socket programming
The document discusses network programming with sockets. It outlines basic socket programming concepts like client-server models, TCP and UDP services, and BSD sockets. It then describes key socket functions for creation and setup, establishing connections, sending/receiving data, and tearing down connections.
Best Python Libraries For Data Science & Machine Learning | Edureka
This document provides an overview of popular Python libraries for data science and machine learning tasks. It discusses libraries for statistical analysis (NumPy, SciPy, Pandas, StatsModels), data visualization (Matplotlib, Seaborn, Plotly, Bokeh), machine learning (Scikit-learn, XGBoost, Eli5), deep learning (TensorFlow, Keras, Pytorch), and natural language processing (NLTK, SpaCy, Gensim). For each category, it lists the top libraries and briefly describes their main functionalities. The document serves as an introduction to the Python data science ecosystem.
Cloud Forensics
This document summarizes a project on cloud forensics. It discusses cloud computing models like SaaS, PaaS, and IaaS. It describes implementing a private Eucalyptus cloud and testing live forensics via virtual introspection and recovering ephemeral data from previous cloud tenants. It demonstrates recovering data from a physical disk but not from a new virtual instance due to sparse files. The document concludes ephemeral data is not accessible to new tenants in Eucalyptus clouds due to sparse files and zero-filling.
CPU scheduling
* Using SJF preemptive scheduling:
P2 will execute from time 0 to 5 ms.
P3 will execute from time 5 to 8 ms.
P1 will execute from time 8 to 18 ms.
P4 will execute from time 18 to 38 ms.
P5 will execute from time 38 to 40 ms.
Total waiting time = (10-5) + (8-5) + (18-0) + (38-5) + (40-10) = 5.6 + 3 + 18 + 33 + 30 = 90
Average waiting time = Total waiting time / Number of processes = 90/5 = 5.6 ms
* Using Priority preemptive scheduling
DNS(Domain Name System)
The document discusses the Domain Name System (DNS), which translates domain names to IP addresses. It has three main components: the name space that defines the domain name structure, resolvers that extract information from name servers, and name servers that store information about the domain name structure. The DNS uses a hierarchical and distributed database to map domain names to IP addresses across a network like the internet.
Historia de los compiladores
Este documento describe la historia y características de varios lenguajes de programación como Fortran, Pascal y C, así como los compiladores asociados a cada uno de ellos. Explica que un compilador traduce un programa escrito en un lenguaje de programación a otro equivalente, y que a lo largo de los años los compiladores han evolucionado para ser capaces de crearse más rápidamente, a diferencia de los primeros compiladores que tardaron años en desarrollarse.
First Come First Serve
First come first serve. A simple slide demonstration of FCFS regarding Operating System subject Computer Applications
Network Forensics
Network forensics involves collecting and analyzing network data and traffic to determine how attacks occur. It is important to establish standard forensic procedures and know normal network traffic patterns to detect variations. Tools like packet analyzers, Sysinternals, and honeypots can help monitor traffic and identify intrusions. The Honeynet Project aims to increase security awareness by observing new attacker techniques.
CPU scheduling algorithms in OS
This document discusses different CPU scheduling algorithms. It describes the First Come First Serve (FCFS), Shortest Job First (SJF), Priority Scheduling (PS), and Round Robin (RR) algorithms. Each algorithm is evaluated based on criteria like average turnaround time, waiting time, and CPU utilization. FCFS is found to have the highest CPU utilization but higher average turnaround times. SJF provides the lowest average turnaround times but can cause starvation of longer jobs. RR provides fairness but the time quantum setting impacts efficiency. The best algorithm depends on the specific performance measures and system requirements.
Operating systems chapter 5 silberschatz
This document provides an overview of CPU scheduling algorithms in operating systems. It begins with basic concepts like CPU utilization and I/O burst cycles. It then discusses various scheduling criteria like throughput and turnaround time. Common scheduling algorithms covered include first-come first-served, shortest job first, round robin, priority scheduling, and multilevel queue scheduling. It also addresses thread scheduling, multiprocessor scheduling, and real-time scheduling. The objectives are to describe and evaluate various CPU scheduling algorithms based on scheduling criteria.
Linux Kernel I/O Schedulers
This presentation gives an overview of Linux kernel block I/O susbsystem functionality, importance of I/O schedulers in Block layer. It also describes the different types of I/O Schedulers including the Deadline I/O scheduler, Anticipatory I/O Scheduler, Complete Fair queuing I/O scheduler and Noop I/O scheduler.
Arp and rarp
This document discusses ARP and RARP protocols. ARP associates IP addresses with physical addresses to allow communication on a LAN. RARP performs the inverse, associating physical addresses with IP addresses. The document includes objectives, figures illustrating ARP and RARP operation and positioning in the TCP/IP stack, examples of ARP cache usage, and details on ARP and RARP packet formats and processing. It aims to explain the need, components, and interactions of the ARP and RARP protocols.
What's hot (20)
Best Python Libraries For Data Science & Machine Learning | Edureka
Best Python Libraries For Data Science & Machine Learning | Edureka
Similar to presentation on data science with python
intro to python.pptx
Python is a popular programming language created in 1991 by Guido van Rossum. It can be used for web development, software development, mathematics, and system scripting. Python code can be executed immediately as it is written due to its interpreter system, allowing for quick prototyping. It works across different platforms and has a simple, English-like syntax. Common data types in Python include numeric, string, list, and tuple types.
2015 03-28-eb-final
This presentation has slides from a talk that I gave at the annual Experimental Biology meeting, 2015, on our curriculum for Big Data Analytics in the Inland Empire.
Data Science Using Python.pptx
Without analytics on big data, companies are unable to understand their environment and customers, similar to how deer cannot see or hear approaching vehicles on a highway. Presentations are tools that can be used for lectures, reports, and more. They serve various purposes, making presentations powerful tools for convincing and teaching others. Data science uses techniques from multiple fields like mathematics, statistics, and computer science to analyze large amounts of data and extract meaningful insights for business.
Abhishek Training PPT.pptx
This 4-week course on "Python for Data Science" taught the basics of Python programming and libraries for data science. It covered topics like data types, sequence data, Pandas dataframes, data visualization with Matplotlib and Seaborn. Technologies taught included Spyder IDE, NumPy, Jupyter Notebook, Pandas and visualization libraries. The course aimed to equip participants with Python skills for solving data science problems. It examined applications of data science in domains like e-commerce, machine learning, medical diagnosis and more.
Python.pptx
This document provides an overview of Python for data science. It discusses key Python features like being an easy to read, flexible language suitable for both new and experienced programmers. It also covers fundamental Python libraries for data scientists like NumPy, SciPy, Pandas, and Scikit-Learn for tasks like numeric computing, machine learning, and data analysis. The document concludes with an introduction to Python's core concepts like variables, data types, operators, and control flow statements.
Python Demo.pptx
This document provides an overview and introduction to Python programming. It discusses Python basics like variables, data types, operators, conditionals, loops, functions and file handling. It also covers commonly used Python libraries and concepts in data analytics like NumPy, Pandas, Matplotlib and statistics. The document is intended as a whistle-stop tour to cover the most common aspects of Python.
Python programming
Python is an interpreted, object-oriented, high-level programming language with dynamic semantics. It was created by Guido van Rossum in 1991 and named after the BBC show Monty Python's Flying Circus. Python is used for web development, data analysis, scientific computing, and more. It has a simple syntax and is highly readable. Key features of Python include object orientation, dynamic typing, automatic memory management, and a large standard library. Common uses of Python include data science, web development, education, systems administration, and more. Major companies that use Python include Google, Facebook, NASA, and Netflix.
Lecture 3 - Exploratory Data Analytics (EDA), a lecture in subject module Sta...
Lecture 3 - Exploratory Data Analytics (EDA), a lecture in subject module Sta...Maninda Edirisooriya
Exploratory Data Analytics (EDA) is a data Pre-Processing, manual data summarization and visualization related discipline which is an earlier phase of data processing. This was one of the lectures of a full course I taught in University of Moratuwa, Sri Lanka on 2023 second half of the year.Python Demo.pptx
This document provides a high-level summary of an introduction to Python programming course. The summary includes an overview of Python basics like variables, data types, operators, conditionals, loops, functions and file handling. It also discusses commonly used Python libraries and concepts in data analytics like NumPy, Pandas, Matplotlib and statistics.
Python for Data Science: A Comprehensive Guide
Python’s popularity in data science is undeniable, to sum up. It is the best option for data analysts and scientists because of its simplicity, extensive library environment, and community support. The essential Python tools and best practices have been highlighted in this thorough book, enabling data aficionados to succeed in this fast-paced industry.
ch2 DS.pptx
The document provides an overview of key concepts in data science and big data including:
1) It defines data science, data scientists, and their roles in extracting insights from structured, semi-structured, and unstructured data.
2) It explains different data types like structured, semi-structured, unstructured and their characteristics from a data analytics perspective.
3) It describes the data value chain involving data acquisition, analysis, curation, storage, and usage to generate value from data.
4) It introduces concepts in big data like the 3V's of volume, velocity and variety, and technologies like Hadoop and its ecosystem that are used for distributed processing of large datasets.
Introduction of data science
Data science combines fields like statistics, programming, and domain expertise to extract meaningful insights from data. It involves preparing, analyzing, and modeling data to discover useful information. Exploratory data analysis is the process of investigating data to understand its characteristics and check assumptions before modeling. There are four types of EDA: univariate non-graphical, univariate graphical, multivariate non-graphical, and multivariate graphical. Python and R are popular tools used for EDA due to their data analysis and visualization capabilities.
Databases, Web Services and Tools For Systems Immunology
This document provides an overview of databases, web services, tools, and computing resources needed for systems immunology. It discusses the importance of having a clear hypothesis, statistical understanding, large datasets from different levels of biology, software tools, programming expertise, and computing power. Specific databases, tools, and programming languages discussed include ImmPort, Stanford's HIMC database, MySQL, GenePattern, Galaxy, Weka, R, Perl, Python, and Amazon Cloud computing. The document provides recommendations and resources for learning statistics, data mining, programming languages, and using cloud computing resources.
Analysis Mechanical system using Artificial intelligence
This is presentation which is about analyse mechanical system using AI.
Labou "Data Science and the Library at UC San Diego"
Labou "Data Science and the Library at UC San Diego"National Information Standards Organization (NISO)
This presentation was provided by Stephanie Labou of The University of California - San Diego, during part two of the NISO two-part webinar "Building Data Science Skills: Strategic Support for the Work, Part Two" which was held on March 18, 2020.Unit I- Data structures Introduction, Evaluation of Algorithms, Arrays, Spars...
This deals about the topics Introduction, Evaluation of Algorithms, Arrays, Sparse Matrix from Data Structures
Algorithms and Data Structures
This document provides an introduction to the CSC112 Algorithms and Data Structures lecture. It discusses the need for data structures to organize data efficiently and enable more complex applications. Different types of data structures are presented, including linear structures like arrays, lists, queues and stacks, as well as non-linear structures like trees and graphs. Key data structure operations like traversing, searching, inserting and deleting records are also outlined. The document emphasizes that the choice of data structure and algorithm can significantly impact a program's efficiency and performance.
Array computing and the evolution of SciPy, NumPy, and PyData
An invited lecture at Columbia University hosted by the Foundations of Research Computing organization.
Similar to presentation on data science with python (20)
Lecture 3 - Exploratory Data Analytics (EDA), a lecture in subject module Sta...
Lecture 3 - Exploratory Data Analytics (EDA), a lecture in subject module Sta...
Databases, Web Services and Tools For Systems Immunology
Databases, Web Services and Tools For Systems Immunology
Analysis Mechanical system using Artificial intelligence
Analysis Mechanical system using Artificial intelligence
Labou "Data Science and the Library at UC San Diego"
Labou "Data Science and the Library at UC San Diego"
Unit I- Data structures Introduction, Evaluation of Algorithms, Arrays, Spars...
Unit I- Data structures Introduction, Evaluation of Algorithms, Arrays, Spars...
Array computing and the evolution of SciPy, NumPy, and PyData
Array computing and the evolution of SciPy, NumPy, and PyData
Recently uploaded
一比一原版(BCU毕业证书)伯明翰城市大学毕业证如何办理
原版定制【微信:41543339】【(BCU毕业证书)伯明翰城市大学毕业证】【微信:41543339】成绩单、外壳、offer、留信学历认证（永久存档真实可查）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【我们承诺采用的是学校原版纸张（纸质、底色、纹路），我们拥有全套进口原装设备，特殊工艺都是采用不同机器制作，仿真度基本可以达到100%，所有工艺效果都可提前给客户展示，不满意可以根据客户要求进行调整，直到满意为止！】
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信41543339】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信41543339】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
留信网服务项目：
1、留学生专业人才库服务（留信分析）
2、国（境）学习人员提供就业推荐信服务
3、留学人员区块链存储服务
→ 【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！
一比一原版(爱大毕业证书)爱丁堡大学毕业证如何办理
毕业原版【微信:41543339】【(爱大毕业证书)爱丁堡大学毕业证】【微信:41543339】成绩单、外壳、offer、留信学历认证（永久存档真实可查）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【我们承诺采用的是学校原版纸张（纸质、底色、纹路），我们拥有全套进口原装设备，特殊工艺都是采用不同机器制作，仿真度基本可以达到100%，所有工艺效果都可提前给客户展示，不满意可以根据客户要求进行调整，直到满意为止！】
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信41543339】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信41543339】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
留信网服务项目：
1、留学生专业人才库服务（留信分析）
2、国（境）学习人员提供就业推荐信服务
3、留学人员区块链存储服务
→ 【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！
一比一原版(Chester毕业证书)切斯特大学毕业证如何办理
毕业原版【微信:41543339】【(Chester毕业证书)切斯特大学毕业证】【微信:41543339】成绩单、外壳、offer、留信学历认证（永久存档真实可查）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【我们承诺采用的是学校原版纸张（纸质、底色、纹路），我们拥有全套进口原装设备，特殊工艺都是采用不同机器制作，仿真度基本可以达到100%，所有工艺效果都可提前给客户展示，不满意可以根据客户要求进行调整，直到满意为止！】
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信41543339】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信41543339】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
留信网服务项目：
1、留学生专业人才库服务（留信分析）
2、国（境）学习人员提供就业推荐信服务
3、留学人员区块链存储服务
→ 【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！
一比一原版(UofS毕业证书)萨省大学毕业证如何办理
原版定制【微信:41543339】【(UofS毕业证书)萨省大学毕业证】【微信:41543339】成绩单、外壳、offer、留信学历认证（永久存档真实可查）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【我们承诺采用的是学校原版纸张（纸质、底色、纹路），我们拥有全套进口原装设备，特殊工艺都是采用不同机器制作，仿真度基本可以达到100%，所有工艺效果都可提前给客户展示，不满意可以根据客户要求进行调整，直到满意为止！】
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信41543339】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信41543339】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
留信网服务项目：
1、留学生专业人才库服务（留信分析）
2、国（境）学习人员提供就业推荐信服务
3、留学人员区块链存储服务
→ 【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！
State of Artificial intelligence Report 2023
Artificial intelligence (AI) is a multidisciplinary field of science and engineering whose goal is to create intelligent machines.
We believe that AI will be a force multiplier on technological progress in our increasingly digital, data-driven world. This is because everything around us today, ranging from culture to consumer products, is a product of intelligence.
The State of AI Report is now in its sixth year. Consider this report as a compilation of the most interesting things we’ve seen with a goal of triggering an informed conversation about the state of AI and its implication for the future.
We consider the following key dimensions in our report:
Research: Technology breakthroughs and their capabilities.
Industry: Areas of commercial application for AI and its business impact.
Politics: Regulation of AI, its economic implications and the evolving geopolitics of AI.
Safety: Identifying and mitigating catastrophic risks that highly-capable future AI systems could pose to us.
Predictions: What we believe will happen in the next 12 months and a 2022 performance review to keep us honest.
ViewShift: Hassle-free Dynamic Policy Enforcement for Every Data Lake
Dynamic policy enforcement is becoming an increasingly important topic in today’s world where data privacy and compliance is a top priority for companies, individuals, and regulators alike. In these slides, we discuss how LinkedIn implements a powerful dynamic policy enforcement engine, called ViewShift, and integrates it within its data lake. We show the query engine architecture and how catalog implementations can automatically route table resolutions to compliance-enforcing SQL views. Such views have a set of very interesting properties: (1) They are auto-generated from declarative data annotations. (2) They respect user-level consent and preferences (3) They are context-aware, encoding a different set of transformations for different use cases (4) They are portable; while the SQL logic is only implemented in one SQL dialect, it is accessible in all engines.
#SQL #Views #Privacy #Compliance #DataLake
一比一原版(Dalhousie毕业证书)达尔豪斯大学毕业证如何办理
原版定制【微信:41543339】【(Dalhousie毕业证书)达尔豪斯大学毕业证】【微信:41543339】成绩单、外壳、offer、留信学历认证（永久存档真实可查）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【我们承诺采用的是学校原版纸张（纸质、底色、纹路），我们拥有全套进口原装设备，特殊工艺都是采用不同机器制作，仿真度基本可以达到100%，所有工艺效果都可提前给客户展示，不满意可以根据客户要求进行调整，直到满意为止！】
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信41543339】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信41543339】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
留信网服务项目：
1、留学生专业人才库服务（留信分析）
2、国（境）学习人员提供就业推荐信服务
3、留学人员区块链存储服务
→ 【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！
Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You...
This webinar will explore cutting-edge, less familiar but powerful experimentation methodologies which address well-known limitations of standard A/B Testing. Designed for data and product leaders, this session aims to inspire the embrace of innovative approaches and provide insights into the frontiers of experimentation!
一比一原版(GWU,GW文凭证书)乔治·华盛顿大学毕业证如何办理
毕业原版【微信:176555708】【(GWU,GW毕业证书)乔治·华盛顿大学毕业证】【微信:176555708】成绩单、外壳、offer、留信学历认证（永久存档真实可查）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【我们承诺采用的是学校原版纸张（纸质、底色、纹路），我们拥有全套进口原装设备，特殊工艺都是采用不同机器制作，仿真度基本可以达到100%，所有工艺效果都可提前给客户展示，不满意可以根据客户要求进行调整，直到满意为止！】
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信176555708】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信176555708】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
留信网服务项目：
1、留学生专业人才库服务（留信分析）
2、国（境）学习人员提供就业推荐信服务
3、留学人员区块链存储服务
→ 【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！
Predictably Improve Your B2B Tech Company's Performance by Leveraging Data
Harness the power of AI-backed reports, benchmarking and data analysis to predict trends and detect anomalies in your marketing efforts.
Peter Caputa, CEO at Databox, reveals how you can discover the strategies and tools to increase your growth rate (and margins!).
From metrics to track to data habits to pick up, enhance your reporting for powerful insights to improve your B2B tech company's marketing.
- - -
This is the webinar recording from the June 2024 HubSpot User Group (HUG) for B2B Technology USA.
Watch the video recording at https://youtu.be/5vjwGfPN9lw
Sign up for future HUG events at https://events.hubspot.com/b2b-technology-usa/
一比一原版(UMN文凭证书)明尼苏达大学毕业证如何办理
毕业原版【微信:176555708】【(UMN毕业证书)明尼苏达大学毕业证】【微信:176555708】成绩单、外壳、offer、留信学历认证（永久存档真实可查）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【我们承诺采用的是学校原版纸张（纸质、底色、纹路），我们拥有全套进口原装设备，特殊工艺都是采用不同机器制作，仿真度基本可以达到100%，所有工艺效果都可提前给客户展示，不满意可以根据客户要求进行调整，直到满意为止！】
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信176555708】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信176555708】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
留信网服务项目：
1、留学生专业人才库服务（留信分析）
2、国（境）学习人员提供就业推荐信服务
3、留学人员区块链存储服务
→ 【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！
一比一原版(Bradford毕业证书)布拉德福德大学毕业证如何办理
原版定制【微信:41543339】【(Bradford毕业证书)布拉德福德大学毕业证】【微信:41543339】成绩单、外壳、offer、留信学历认证（永久存档真实可查）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【我们承诺采用的是学校原版纸张（纸质、底色、纹路），我们拥有全套进口原装设备，特殊工艺都是采用不同机器制作，仿真度基本可以达到100%，所有工艺效果都可提前给客户展示，不满意可以根据客户要求进行调整，直到满意为止！】
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信41543339】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信41543339】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
留信网服务项目：
1、留学生专业人才库服务（留信分析）
2、国（境）学习人员提供就业推荐信服务
3、留学人员区块链存储服务
→ 【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！
Enhanced Enterprise Intelligence with your personal AI Data Copilot.pdf
Recently we have observed the rise of open-source Large Language Models (LLMs) that are community-driven or developed by the AI market leaders, such as Meta (Llama3), Databricks (DBRX) and Snowflake (Arctic). On the other hand, there is a growth in interest in specialized, carefully fine-tuned yet relatively small models that can efficiently assist programmers in day-to-day tasks. Finally, Retrieval-Augmented Generation (RAG) architectures have gained a lot of traction as the preferred approach for LLMs context and prompt augmentation for building conversational SQL data copilots, code copilots and chatbots.
In this presentation, we will show how we built upon these three concepts a robust Data Copilot that can help to democratize access to company data assets and boost performance of everyone working with data platforms.
Why do we need yet another (open-source ) Copilot?
How can we build one?
Architecture and evaluation
End-to-end pipeline agility - Berlin Buzzwords 2024
We describe how we achieve high change agility in data engineering by eliminating the fear of breaking downstream data pipelines through end-to-end pipeline testing, and by using schema metaprogramming to safely eliminate boilerplate involved in changes that affect whole pipelines.
A quick poll on agility in changing pipelines from end to end indicated a huge span in capabilities. For the question "How long time does it take for all downstream pipelines to be adapted to an upstream change," the median response was 6 months, but some respondents could do it in less than a day. When quantitative data engineering differences between the best and worst are measured, the span is often 100x-1000x, sometimes even more.
A long time ago, we suffered at Spotify from fear of changing pipelines due to not knowing what the impact might be downstream. We made plans for a technical solution to test pipelines end-to-end to mitigate that fear, but the effort failed for cultural reasons. We eventually solved this challenge, but in a different context. In this presentation we will describe how we test full pipelines effectively by manipulating workflow orchestration, which enables us to make changes in pipelines without fear of breaking downstream.
Making schema changes that affect many jobs also involves a lot of toil and boilerplate. Using schema-on-read mitigates some of it, but has drawbacks since it makes it more difficult to detect errors early. We will describe how we have rejected this tradeoff by applying schema metaprogramming, eliminating boilerplate but keeping the protection of static typing, thereby further improving agility to quickly modify data pipelines without fear.
一比一原版(Coventry毕业证书)考文垂大学毕业证如何办理
毕业原版【微信:41543339】【(Coventry毕业证书)考文垂大学毕业证】【微信:41543339】成绩单、外壳、offer、留信学历认证（永久存档真实可查）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【我们承诺采用的是学校原版纸张（纸质、底色、纹路），我们拥有全套进口原装设备，特殊工艺都是采用不同机器制作，仿真度基本可以达到100%，所有工艺效果都可提前给客户展示，不满意可以根据客户要求进行调整，直到满意为止！】
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信41543339】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信41543339】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
留信网服务项目：
1、留学生专业人才库服务（留信分析）
2、国（境）学习人员提供就业推荐信服务
3、留学人员区块链存储服务
→ 【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！
一比一原版(牛布毕业证书)牛津布鲁克斯大学毕业证如何办理
毕业原版【微信:41543339】【(牛布毕业证书)牛津布鲁克斯大学毕业证】【微信:41543339】成绩单、外壳、offer、留信学历认证（永久存档真实可查）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【我们承诺采用的是学校原版纸张（纸质、底色、纹路），我们拥有全套进口原装设备，特殊工艺都是采用不同机器制作，仿真度基本可以达到100%，所有工艺效果都可提前给客户展示，不满意可以根据客户要求进行调整，直到满意为止！】
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信41543339】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信41543339】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
留信网服务项目：
1、留学生专业人才库服务（留信分析）
2、国（境）学习人员提供就业推荐信服务
3、留学人员区块链存储服务
→ 【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！
一比一原版(UO毕业证)渥太华大学毕业证如何办理
UO毕业证录取书【微信95270640】购买（渥太华大学毕业证成绩单硕士学历）Q微信95270640代办UO学历认证留信网伪造渥太华大学学位证书精仿渥太华大学本科/硕士文凭证书补办渥太华大学 diplomaoffer,Transcript购买渥太华大学毕业证成绩单购买UO假毕业证学位证书购买伪造渥太华大学文凭证书学位证书,专业办理雅思、托福成绩单，学生ID卡，在读证明，海外各大学offer录取通知书，毕业证书，成绩单，文凭等材料:1:1完美还原毕业证、offer录取通知书、学生卡等各种在读或毕业材料的防伪工艺（包括 烫金、烫银、钢印、底纹、凹凸版、水印、防伪光标、热敏防伪、文字图案浮雕，激光镭射，紫外荧光，温感光标）学校原版上有的工艺我们一样不会少，不论是老版本还是最新版本，都能保证最高程度还原，力争完美以求让所有同学都能享受到完美的品质服务。
文凭办理流程：
1客户提供办理信息：姓名生日专业学位毕业时间等（如信息不确定可以咨询顾问：微信95270640我们有专业老师帮你查询）；
2开始安排制作毕业证成绩单电子图；
3毕业证成绩单电子版做好以后发送给您确认；
4毕业证成绩单电子版您确认信息无误之后安排制作成品；
5成品做好拍照或者视频给您确认；
6快递给客户（国内顺丰国外DHLUPS等快读邮寄）。
7完成交易删除客户资料
高精端提供以下服务：
一：渥太华大学渥太华大学毕业证文凭证书全套材料从防伪到印刷水印底纹到钢印烫金
二：真实使馆认证（留学人员回国证明）使馆存档
三：真实教育部认证教育部存档教育部留服网站可查
四：留信认证留学生信息网站可查
五：与学校颁发的相关证件1:1纸质尺寸制定（定期向各大院校毕业生购买最新版本毕,业证成绩单保证您拿到的是鲁昂大学内部最新版本毕业证成绩单微信95270640）
A.为什么留学生需要操作留信认证?
留信认证全称全国留学生信息服务网认证,隶属于北京中科院。①留信认证门槛条件更低,费用更美丽,并且包过,完单周期短,效率高②留信认证虽然不能去国企,但是一般的公司都没有问题,因为国内很多公司连基本的留学生学历认证都不了解。这对于留学生来说,这就比自己光拿一个证书更有说服力,因为留学学历可以在留信网站上进行查询!
B.为什么我们提供的毕业证成绩单具有使用价值？
查询留服认证是国内鉴别留学生海外学历的唯一途径但认证只是个体行为不是所有留学生都操作所以没有办理认证的留学生的学历在国内也是查询不到的他们也仅仅只有一张文凭。所以这时候我们提供的和学校颁发的一模一样的毕业证成绩单就有了使用价值。只硕大的蛇皮袋手里拎着长铁钩正站在门口朝黑色的屋内张望不好坏人小偷山娃一怔却也灵机一动立马仰起头双手拢在嘴边朝楼上大喊：“爸爸爸——有人找——那人一听朝山娃尴尬地笑笑悻悻地走了山娃立马“嘭的一声将铁门锁死心却咚咚地乱跳当山娃跟父亲说起这事时父亲很吃惊抚摸着山娃的头说还好醒得及时要不家早被人掏空了到时连电视也没得看啰不过父亲还是夸山娃能临危不乱随机应变有胆有谋山娃笑笑说那都是书上学的看童话和小说时多
Recently uploaded (20)
ViewShift: Hassle-free Dynamic Policy Enforcement for Every Data Lake
ViewShift: Hassle-free Dynamic Policy Enforcement for Every Data Lake
Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You...
Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You...
Predictably Improve Your B2B Tech Company's Performance by Leveraging Data
Predictably Improve Your B2B Tech Company's Performance by Leveraging Data
Enhanced Enterprise Intelligence with your personal AI Data Copilot.pdf
Enhanced Enterprise Intelligence with your personal AI Data Copilot.pdf
End-to-end pipeline agility - Berlin Buzzwords 2024
End-to-end pipeline agility - Berlin Buzzwords 2024
Challenges of Nation Building-1.pptx with more important
Challenges of Nation Building-1.pptx with more important
presentation on data science with python
- 1. GLOBAL INSTITUTE OF TECHNOLOGY Department of Artificial Intelligence and Data Science A SEMINAR TRAINING ON DATA SCIENCE WITH PYTHON Submitted to: Mr. Pradeep Jha Head of Dept. CS/IT/AIDS Presented By: Student Name: Khushbu Jain Reg. No.: 20EGJAD014 Semester and Year – 5th Sem (3rd Year) Session: 2022-23
- 3. TABLE OF CONTENT: • WHAT IS DATA SCIENCE? • WHAT IS PYTHON? • WHY WE USE DATA SCIENCE WITH PYTHON? • DATA TYPES IN PYTHON • PYTHON BASICS : LOOPING • PYTHON LIBRARY: NUMPY AND PANDAS • APPLICATION OF DATA SCIENCE
- 4. • Data science is the process of finding insights/trends/ intelligence that supports the business leaders to make the better decision. • Data science is a relatively new field and deeply rooted to Statistics and Decision Support System. • It is a Multidisciplinary field ( Domain Knowledge, Tools & technology, Mathematics & Statistics, Problem Solving Skills). What is Data Science ?
- 5. WHAT IS PYTHON: • A high-level general-purpose programming language. • A very popular Data Science tool for data analysis, data visualization and Machine Learning tasks • It is a open source and free tool
- 6. WHY WE USE DATA SCIENCE WITH PYTHON ? • Python is object-oriented • The following primary factors cited by Python users seem to be these: • Structure supports such concepts as polymorphism, operation overloading, and multiple inheritance. • .It's free (open source) • Downloading and installing Python is free and easy Source code is easily accessible .
- 7. • It's powerful - Dynamic typing - Built-in types and tools - Library utilities - Third party utilities (e.g. Numeric, NumPy, SciPy) - Automatic memory management • It's portable - Python runs virtually every major platform used today -As long as you have a compatible Python interpreter installed, Python programs will run in exactly the same manner, irrespective of platform.
- 8. DATA TYPES IN PYTHON: • Python has many native data types. Here are the important ones: • Booleans are either True or False. • Numbers can be integers (1 and 2), floats (1.1 and 1.2), fractions (1/2 and 2/3), or even complex numbers. • Strings are sequences of Unicode characters, e.g. an HTML document. • Bytes and byte arrays, e.g. a JPEG image file. • Lists are ordered sequences of values. • Tuples are ordered, immutable sequences of values. • Sets are unordered bags of values.
- 9. LIST • Collection comma-separated values (items) between square brackets • Contain same or different types • Mutable behavior Values can add, remove, update/replace the value, slice and dice the members Example: list1 = ['physics', 'chemistry', 1997, 2000]; list2 = [1, 2, 3, 4, 5 ];
- 10. TUPLE • A tuple is very similar to List A collection of items inside the parenthesis() • Tuple is Immutable ( The value cannot be changed) • Can slice and dice add elements and Delete the entire tuple • Example: • tup2 = (1, 2, 3, 4, 5 ); • tup3 = ("a", "b", "c", "d“); • Accessing Values: print "tup2[1:5]: “ Output: • tup2[1:5]: [2, 3, 4, 5]
- 11. DICTIONARY: • A collection of unordered data values • A dictionary holds key value pairs of data • The items are separated by commas, and the whole thing is enclosed in curly braces • Keys are immutable but the values are mutable - can add modify and Delete values • Example: Dictionary. capitals = {"USA":"Washington D.C.", "France":"Paris", "India":"New Delhi"}
- 13. PYTHON LIBRARY: NUMPY It uses multidimensional arrays and matrices, as well as functions to perform the computation • Allow to perform advanced mathematical and statistical operations on the above objects • It provides vectorization of mathematical operations on arrays and matrices which significantly improves the performance many other python libraries are built on the top of NumPy library • EXAMPLE:
- 14. PYTHON LIBRARY : PANDAS • It adds data structures and tools designed to work with table-like data (similar to table in SQL Server environment) • It provides tools for data manipulation: selecting, reshaping, merging, sorting, slicing, aggregation etc. • It also handles missing data • EXAMPLE: import numpy as np #importing numpy import pandas as pd #importing pandas arr=np.array([1,3,5,7,9]) #create arr array s2=pd.Series(arr) #create pandas series s2 print(s2) #print s2 print(type(s2)) #print type of s2 Output: 0 1 1 3 2 5 3 7 4 9 dtype: int64 <class 'pandas.core.series.Series'>
- 15. APPLICATION OF DATA SCIENCE: