What is Python Lambda Function? Python Tutorial | EdurekaEdureka!
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This Edureka PPT on 'Python Lambda' is to educate you about the Lambda functions of Python and help you understand how to use them in various scenarios. Below are the topics covered in this PPT:
What are Python Lambda functions?
Why are they used?
How to write anonymous functions?
Lambda functions within user-defined functions
Using Anonymous functions within
- filter()
- map()
- reduce()
Solving algebric expressions using Lambda
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This document discusses Green's theorem, which relates a line integral around a simple closed curve C to a double integral over the plane region D bounded by C. It presents the statement of Green's theorem, which equates the line integral of P dx + Q dy around C to the double integral of (∂Q/∂x - ∂P/∂y) over D. An example problem demonstrates using Green's theorem to evaluate a line integral by transforming it into a double integral. Verifying the equality of the two approaches confirms Green's theorem for the given region.
This is the basic introduction of the pandas library, you can use it for teaching this library for machine learning introduction. This slide will be able to help to understand the basics of pandas to the students with no coding background.
NumPy is a Python library used for working with multidimensional arrays and matrices for scientific computing. It allows fast operations on arrays through optimized C code and is the foundation of the Python scientific computing stack. NumPy arrays can be created in many ways and support operations like indexing, slicing, broadcasting, and universal functions. NumPy provides many useful features for linear algebra, Fourier transforms, random number generation and more.
Verbal communication includes both oral and written communication. Oral communication involves speaking to convey messages, such as conversations, presentations, and speeches. It allows for immediate feedback but lacks records and can lead to misunderstandings. Written communication involves using the written word to share messages through letters, emails, manuals, and other documents. It provides accuracy, permanent records, and legal evidence but is more time-consuming and impersonal than oral communication. Both oral and written communication are essential forms of verbal communication.
The document discusses Python's four main collection data types: lists, tuples, sets, and dictionaries. It provides details on lists, including that they are ordered and changeable collections that allow duplicate members. Lists can be indexed, sliced, modified using methods like append() and insert(), and have various built-in functions that can be used on them. Examples are provided to demonstrate list indexing, slicing, changing elements, adding elements, removing elements, and built-in list methods.
In this PDF you will find the basics of Turbo Prolog 2.0 with some good program and it's output. Also it's second part is coming in next month or week.
For any query ------------------> [email protected]
For programs ----------------> https://github.com/UltraHopeful/Turbo-Prolog-2.0
This document discusses validating user input in ASP.NET applications. It describes using validation controls on both the client-side using JavaScript and server-side using C# to check fields for errors like empty values, values outside a specified range, or values that do not match a regular expression. The key validation controls covered are RequiredFieldValidator, RangeValidator, RegularExpressionValidator, CompareValidator, and CustomValidator. It emphasizes best practices of using both client-side and server-side validation for security and usability.
Python lambda functions with filter, map & reduce functionARVIND PANDE
Lambda functions allow the creation of small anonymous functions and can be passed as arguments to other functions. The map() function applies a lambda function to each element of a list and returns a new list. The filter() function filters a list based on the return value of a lambda function. The reduce() function iteratively applies a lambda function to consecutive pairs in a list and returns a single value. User-defined functions in Python can perform tasks like converting between temperature scales, finding max/min/average of lists, generating Fibonacci series, reversing strings, summing digits in numbers, and calculating powers using recursion.
This document discusses strings and string buffers in Java. It defines strings as sequences of characters that are class objects implemented using the String and StringBuffer classes. It provides examples of declaring, initializing, concatenating and using various methods like length(), charAt() etc. on strings. The document also introduces the StringBuffer class for mutable strings and lists some common StringBuffer functions.
The document discusses various concepts related to functions in Python including defining functions, passing arguments, default arguments, arbitrary argument lists, lambda expressions, function annotations, and documentation strings. Functions provide modularity and code reusability. Arguments can be passed by value or reference and default values are evaluated once. Keyword, arbitrary and unpacked arguments allow flexible calling. Lambda expressions define small anonymous functions. Annotations provide type metadata and docstrings document functions.
Chapter 02: Classes Objects and Methods Java by Tushar B KuteTushar B Kute
The lecture was condcuted by Tushar B Kute at YCMOU, Nashik through VLC orgnanized by MSBTE. The contents can be found in book "Core Java Programming - A Practical Approach' by Laxmi Publications.
Basics of Object Oriented Programming in PythonSujith Kumar
The document discusses key concepts of object-oriented programming (OOP) including classes, objects, methods, encapsulation, inheritance, and polymorphism. It provides examples of classes in Python and explains OOP principles like defining classes with the class keyword, using self to reference object attributes and methods, and inheriting from base classes. The document also describes operator overloading in Python to allow operators to have different meanings based on the object types.
Java abstract class & abstract methods,Abstract class in java
Abstract classes are classes that contain one or more abstract methods. An abstract method is a method that is declared, but contains no implementation. Abstract classes may not be instantiated, and require subclasses to provide implementations for the abstract methods.
This document provides an overview of object-oriented programming concepts in Python including objects, classes, inheritance, polymorphism, and encapsulation. It defines key terms like objects, classes, and methods. It explains how to create classes and objects in Python. It also discusses special methods, modules, and the __name__ variable.
This document discusses classes, objects, and methods in Java. It defines a class as a user-defined data type that contains fields and methods. Objects are instances of classes that allocate memory at runtime. Methods define behaviors for objects and are declared within classes. The document covers defining classes, creating objects, accessing members, constructors, method overloading and overriding, static members, passing objects as parameters, recursion, and visibility control.
This presentation introduces Java packages, including system packages that are part of the Java API and user-defined packages. It discusses how packages organize related classes and interfaces, the structure of package names and directories, and how to create and access packages. Packages provide advantages like grouping related code, preventing name collisions, and improving reusability.
This document discusses classes and objects in C++. It defines a class as a user-defined data type that implements an abstract object by combining data members and member functions. Data members are called data fields and member functions are called methods. An abstract data type separates logical properties from implementation details and supports data abstraction, encapsulation, and hiding. Common examples of abstract data types include Boolean, integer, array, stack, queue, and tree structures. The document goes on to describe class definitions, access specifiers, static members, and how to define and access class members and methods.
This document discusses I/O streams in Java. It defines streams as sequences of bytes that flow from a source to a destination. Streams can be categorized as character streams for text data or byte streams for raw binary data. Streams are also categorized as data streams that act as sources or destinations, or processing streams that alter or manage stream information. The Java IO package contains classes for defining input and output streams of different types.
Static Data Members and Member FunctionsMOHIT AGARWAL
Static data members and static member functions in C++ classes are shared by all objects of that class. Static data members are initialized to zero when the first object is created and shared across all instances, while static member functions can only access other static members and are called using the class name and scope resolution operator. The example program demonstrates a class with a static data member "count" that is incremented and accessed by multiple objects to assign increasing code values, and a static member function "showcount" that prints the shared count value.
Modules allow grouping of related functions and code into reusable files. Packages are groups of modules that provide related functionality. There are several ways to import modules and their contents using import and from statements. The document provides examples of creating modules and packages in Python and importing from them.
This document provides an introduction to object oriented programming in Python. It discusses why OOP is useful, defines some key concepts like classes, objects, methods, and variables. It provides an example of modeling a Taxi using a Taxi class with attributes like driver name and methods like pickUpPassenger. It shows how to define a class, create objects from the class, and call methods on those objects. It also introduces the concept of class variables that are shared among all objects versus instance variables that are unique to each object.
The tutorial will introduce you to Python Packages. This Python basic tutorial will help you understand creating a Python package. You will understand the example of a Python Package. After that, you will understand different ways to access Python Packages. Further, the demonstration will educate you on how to create Python Package.
Operator overloading allows user-defined types in C++ to behave similarly to built-in types when operators are used on them. It allows operators to have special meanings depending on the context. Some key points made in the document include:
- Operator overloading enhances the extensibility of C++ by allowing user-defined types to work with operators like addition, subtraction, etc.
- Common operators that can be overloaded include arithmetic operators, increment/decrement, input/output, function call, and subscript operators.
- To overload an operator, a member or friend function is declared with the same name as the operator being overloaded. This function performs the desired operation on the class type.
-
The document discusses access specifiers in C++ classes. There are three access specifiers: public, private, and protected. Private restricts access to class members to only within the class, public allows access from anywhere, and protected is used for inheritance but not discussed here. By default, members are private. Public members can be accessed from outside the class, while private members can only be accessed within class functions. Access specifiers control the scope and accessibility of class members.
Lambda functions in Python are anonymous functions that can take any number of arguments but can only have a single expression. They are defined using the lambda keyword followed by arguments and an expression. Lambda functions can be used wherever function objects are required and are useful for passing functions as arguments. For example, a lambda function can double an input argument or add two arguments and return the result.
This document discusses lambda functions and the import keyword in Python. It defines lambda functions as small anonymous functions that can take any number of arguments but only have one expression. Examples are provided to demonstrate lambda functions that add, multiply, and return values. The import keyword is used to import libraries into code. Syntax for importing a whole library, a single method, or all methods using wildcards is described. Examples import the os, matplotlib, scikit-learn, and cryptography libraries.
Python lambda functions with filter, map & reduce functionARVIND PANDE
Lambda functions allow the creation of small anonymous functions and can be passed as arguments to other functions. The map() function applies a lambda function to each element of a list and returns a new list. The filter() function filters a list based on the return value of a lambda function. The reduce() function iteratively applies a lambda function to consecutive pairs in a list and returns a single value. User-defined functions in Python can perform tasks like converting between temperature scales, finding max/min/average of lists, generating Fibonacci series, reversing strings, summing digits in numbers, and calculating powers using recursion.
This document discusses strings and string buffers in Java. It defines strings as sequences of characters that are class objects implemented using the String and StringBuffer classes. It provides examples of declaring, initializing, concatenating and using various methods like length(), charAt() etc. on strings. The document also introduces the StringBuffer class for mutable strings and lists some common StringBuffer functions.
The document discusses various concepts related to functions in Python including defining functions, passing arguments, default arguments, arbitrary argument lists, lambda expressions, function annotations, and documentation strings. Functions provide modularity and code reusability. Arguments can be passed by value or reference and default values are evaluated once. Keyword, arbitrary and unpacked arguments allow flexible calling. Lambda expressions define small anonymous functions. Annotations provide type metadata and docstrings document functions.
Chapter 02: Classes Objects and Methods Java by Tushar B KuteTushar B Kute
The lecture was condcuted by Tushar B Kute at YCMOU, Nashik through VLC orgnanized by MSBTE. The contents can be found in book "Core Java Programming - A Practical Approach' by Laxmi Publications.
Basics of Object Oriented Programming in PythonSujith Kumar
The document discusses key concepts of object-oriented programming (OOP) including classes, objects, methods, encapsulation, inheritance, and polymorphism. It provides examples of classes in Python and explains OOP principles like defining classes with the class keyword, using self to reference object attributes and methods, and inheriting from base classes. The document also describes operator overloading in Python to allow operators to have different meanings based on the object types.
Java abstract class & abstract methods,Abstract class in java
Abstract classes are classes that contain one or more abstract methods. An abstract method is a method that is declared, but contains no implementation. Abstract classes may not be instantiated, and require subclasses to provide implementations for the abstract methods.
This document provides an overview of object-oriented programming concepts in Python including objects, classes, inheritance, polymorphism, and encapsulation. It defines key terms like objects, classes, and methods. It explains how to create classes and objects in Python. It also discusses special methods, modules, and the __name__ variable.
This document discusses classes, objects, and methods in Java. It defines a class as a user-defined data type that contains fields and methods. Objects are instances of classes that allocate memory at runtime. Methods define behaviors for objects and are declared within classes. The document covers defining classes, creating objects, accessing members, constructors, method overloading and overriding, static members, passing objects as parameters, recursion, and visibility control.
This presentation introduces Java packages, including system packages that are part of the Java API and user-defined packages. It discusses how packages organize related classes and interfaces, the structure of package names and directories, and how to create and access packages. Packages provide advantages like grouping related code, preventing name collisions, and improving reusability.
This document discusses classes and objects in C++. It defines a class as a user-defined data type that implements an abstract object by combining data members and member functions. Data members are called data fields and member functions are called methods. An abstract data type separates logical properties from implementation details and supports data abstraction, encapsulation, and hiding. Common examples of abstract data types include Boolean, integer, array, stack, queue, and tree structures. The document goes on to describe class definitions, access specifiers, static members, and how to define and access class members and methods.
This document discusses I/O streams in Java. It defines streams as sequences of bytes that flow from a source to a destination. Streams can be categorized as character streams for text data or byte streams for raw binary data. Streams are also categorized as data streams that act as sources or destinations, or processing streams that alter or manage stream information. The Java IO package contains classes for defining input and output streams of different types.
Static Data Members and Member FunctionsMOHIT AGARWAL
Static data members and static member functions in C++ classes are shared by all objects of that class. Static data members are initialized to zero when the first object is created and shared across all instances, while static member functions can only access other static members and are called using the class name and scope resolution operator. The example program demonstrates a class with a static data member "count" that is incremented and accessed by multiple objects to assign increasing code values, and a static member function "showcount" that prints the shared count value.
Modules allow grouping of related functions and code into reusable files. Packages are groups of modules that provide related functionality. There are several ways to import modules and their contents using import and from statements. The document provides examples of creating modules and packages in Python and importing from them.
This document provides an introduction to object oriented programming in Python. It discusses why OOP is useful, defines some key concepts like classes, objects, methods, and variables. It provides an example of modeling a Taxi using a Taxi class with attributes like driver name and methods like pickUpPassenger. It shows how to define a class, create objects from the class, and call methods on those objects. It also introduces the concept of class variables that are shared among all objects versus instance variables that are unique to each object.
The tutorial will introduce you to Python Packages. This Python basic tutorial will help you understand creating a Python package. You will understand the example of a Python Package. After that, you will understand different ways to access Python Packages. Further, the demonstration will educate you on how to create Python Package.
Operator overloading allows user-defined types in C++ to behave similarly to built-in types when operators are used on them. It allows operators to have special meanings depending on the context. Some key points made in the document include:
- Operator overloading enhances the extensibility of C++ by allowing user-defined types to work with operators like addition, subtraction, etc.
- Common operators that can be overloaded include arithmetic operators, increment/decrement, input/output, function call, and subscript operators.
- To overload an operator, a member or friend function is declared with the same name as the operator being overloaded. This function performs the desired operation on the class type.
-
The document discusses access specifiers in C++ classes. There are three access specifiers: public, private, and protected. Private restricts access to class members to only within the class, public allows access from anywhere, and protected is used for inheritance but not discussed here. By default, members are private. Public members can be accessed from outside the class, while private members can only be accessed within class functions. Access specifiers control the scope and accessibility of class members.
Lambda functions in Python are anonymous functions that can take any number of arguments but can only have a single expression. They are defined using the lambda keyword followed by arguments and an expression. Lambda functions can be used wherever function objects are required and are useful for passing functions as arguments. For example, a lambda function can double an input argument or add two arguments and return the result.
This document discusses lambda functions and the import keyword in Python. It defines lambda functions as small anonymous functions that can take any number of arguments but only have one expression. Examples are provided to demonstrate lambda functions that add, multiply, and return values. The import keyword is used to import libraries into code. Syntax for importing a whole library, a single method, or all methods using wildcards is described. Examples import the os, matplotlib, scikit-learn, and cryptography libraries.
following is work on Advance Python part 1 Functional Programming in Python
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The document discusses lambda expressions in Java. It defines a lambda expression as a concise representation of an anonymous function that can be passed around. Lambda expressions allow for passing functions as arguments or returning them. They make code shorter and cleaner compared to anonymous classes. Functional interfaces are required for lambda expressions, where a functional interface defines a single abstract method that lambda expressions can implement.
Lambda expressions in Java 8 enable functional programming and allow code blocks to be treated as values. They provide a more readable and concise syntax than traditional anonymous classes. Lambdas improve APIs and support parallel processing. Functional programming separates code from objects and allows independent functions. Lambda expressions infer types from functional interfaces and can implement interfaces like Runnable more concisely than anonymous classes. Java 8 defines functional interfaces to have a single abstract method to be compatible with lambdas. Common functional interfaces include Predicate and Consumer. Streams and Optional are new classes that work with lambdas to support functional-style operations on collections and optional values.
Functions are blocks of reusable code that perform specific tasks. There are three types of functions in Python: built-in functions, anonymous lambda functions, and user-defined functions. Functions help organize code by breaking programs into smaller, modular chunks. They reduce code duplication, decompose complex problems, improve clarity, and allow code reuse. Functions can take arguments and return values. Built-in functions are pre-defined to perform operations and return results when given the required arguments.
Lambda expressions were added in Java 8 as a way to implement functional programming. They allow short, anonymous blocks of code to be passed around as parameters or returned from methods. A lambda expression takes parameters and returns a value without needing a name or class. They provide a concise way to represent method interfaces via expressions and simplify software development by providing implementations for functional interfaces.
This Lambda Expression C# Tutorial will acquaint you with a clear understanding of the fundamentals of LINQ C#. In this C# Tutorial for beginners, you will get a better understanding of are Lambda Expression C# tutorial. We will begin our session with a discussion on Linq. Then we will discuss the Lambda Expression and Async Lambda. After that, we will look into Lambda in the standard query operators with an implementation. Now we will dive into the Type Interface. Then we will discuss the Variable scope. After that, we will have a look at the Expression tree. Finally, we will wind up this session with a conclusion.
Cover Basic concept for Functional Programming in Java. Define new functional interfaces, lambda expressions, how to translate lambda expression, JVM deal with new byte code etc. This is not the perfect slides for functional programming, but trying cover simple basic functional programming.
Eclipse and Java 8 - Eclipse Day India 2013Noopur Gupta
This document discusses new features in Java 8 related to lambda expressions, including functional interfaces, lambda syntax, method references, and interface improvements like default and static methods. It provides examples and explanations of how lambda expressions reduce overhead compared to anonymous classes by using invokedynamic bytecode and JRE optimizations. It also covers type annotations which allow annotations on type uses in addition to declarations to enable improved static analysis.
This document discusses functional interfaces and method references in Java. It covers the main functional interfaces in the java.util.function package like Function, Predicate, and Consumer. It explains how to compose functions using andThen() and how method references provide a compact way to refer to existing methods rather than defining anonymous methods. Examples are provided to demonstrate method references with Thread, Runnable, and filtering a list.
This document discusses lambda expressions in Java. It defines lambda as an anonymous function without a name. Lambda expressions allow functional programming by defining classes or functions with a single method using a simple syntax. Functional interfaces are interfaces with only one abstract method, and some examples are Runnable, Callable, Comparator. The document shows examples of using lambda expressions with these built-in interfaces and traversing collections. It also demonstrates defining a new functional interface and using it with lambda expressions.
World war-1(Causes & impacts at a glance) PPT by Simanchala Sarab(BABed,sem-4...larencebapu132
This is short and accurate description of World war-1 (1914-18)
It can give you the perfect factual conceptual clarity on the great war
Regards Simanchala Sarab
Student of BABed(ITEP, Secondary stage)in History at Guru Nanak Dev University Amritsar Punjab 🙏🙏
Title: A Quick and Illustrated Guide to APA Style Referencing (7th Edition)
This visual and beginner-friendly guide simplifies the APA referencing style (7th edition) for academic writing. Designed especially for commerce students and research beginners, it includes:
✅ Real examples from original research papers
✅ Color-coded diagrams for clarity
✅ Key rules for in-text citation and reference list formatting
✅ Free citation tools like Mendeley & Zotero explained
Whether you're writing a college assignment, dissertation, or academic article, this guide will help you cite your sources correctly, confidently, and consistent.
Created by: Prof. Ishika Ghosh,
Faculty.
📩 For queries or feedback: [email protected]
A measles outbreak originating in West Texas has been linked to confirmed cases in New Mexico, with additional cases reported in Oklahoma and Kansas. The current case count is 795 from Texas, New Mexico, Oklahoma, and Kansas. 95 individuals have required hospitalization, and 3 deaths, 2 children in Texas and one adult in New Mexico. These fatalities mark the first measles-related deaths in the United States since 2015 and the first pediatric measles death since 2003.
The YSPH Virtual Medical Operations Center Briefs (VMOC) were created as a service-learning project by faculty and graduate students at the Yale School of Public Health in response to the 2010 Haiti Earthquake. Each year, the VMOC Briefs are produced by students enrolled in Environmental Health Science Course 581 - Public Health Emergencies: Disaster Planning and Response. These briefs compile diverse information sources – including status reports, maps, news articles, and web content– into a single, easily digestible document that can be widely shared and used interactively. Key features of this report include:
- Comprehensive Overview: Provides situation updates, maps, relevant news, and web resources.
- Accessibility: Designed for easy reading, wide distribution, and interactive use.
- Collaboration: The “unlocked" format enables other responders to share, copy, and adapt seamlessly. The students learn by doing, quickly discovering how and where to find critical information and presenting it in an easily understood manner.
How to track Cost and Revenue using Analytic Accounts in odoo Accounting, App...Celine George
Analytic accounts are used to track and manage financial transactions related to specific projects, departments, or business units. They provide detailed insights into costs and revenues at a granular level, independent of the main accounting system. This helps to better understand profitability, performance, and resource allocation, making it easier to make informed financial decisions and strategic planning.
CBSE - Grade 8 - Science - Chemistry - Metals and Non Metals - WorksheetSritoma Majumder
Introduction
All the materials around us are made up of elements. These elements can be broadly divided into two major groups:
Metals
Non-Metals
Each group has its own unique physical and chemical properties. Let's understand them one by one.
Physical Properties
1. Appearance
Metals: Shiny (lustrous). Example: gold, silver, copper.
Non-metals: Dull appearance (except iodine, which is shiny).
2. Hardness
Metals: Generally hard. Example: iron.
Non-metals: Usually soft (except diamond, a form of carbon, which is very hard).
3. State
Metals: Mostly solids at room temperature (except mercury, which is a liquid).
Non-metals: Can be solids, liquids, or gases. Example: oxygen (gas), bromine (liquid), sulphur (solid).
4. Malleability
Metals: Can be hammered into thin sheets (malleable).
Non-metals: Not malleable. They break when hammered (brittle).
5. Ductility
Metals: Can be drawn into wires (ductile).
Non-metals: Not ductile.
6. Conductivity
Metals: Good conductors of heat and electricity.
Non-metals: Poor conductors (except graphite, which is a good conductor).
7. Sonorous Nature
Metals: Produce a ringing sound when struck.
Non-metals: Do not produce sound.
Chemical Properties
1. Reaction with Oxygen
Metals react with oxygen to form metal oxides.
These metal oxides are usually basic.
Non-metals react with oxygen to form non-metallic oxides.
These oxides are usually acidic.
2. Reaction with Water
Metals:
Some react vigorously (e.g., sodium).
Some react slowly (e.g., iron).
Some do not react at all (e.g., gold, silver).
Non-metals: Generally do not react with water.
3. Reaction with Acids
Metals react with acids to produce salt and hydrogen gas.
Non-metals: Do not react with acids.
4. Reaction with Bases
Some non-metals react with bases to form salts, but this is rare.
Metals generally do not react with bases directly (except amphoteric metals like aluminum and zinc).
Displacement Reaction
More reactive metals can displace less reactive metals from their salt solutions.
Uses of Metals
Iron: Making machines, tools, and buildings.
Aluminum: Used in aircraft, utensils.
Copper: Electrical wires.
Gold and Silver: Jewelry.
Zinc: Coating iron to prevent rusting (galvanization).
Uses of Non-Metals
Oxygen: Breathing.
Nitrogen: Fertilizers.
Chlorine: Water purification.
Carbon: Fuel (coal), steel-making (coke).
Iodine: Medicines.
Alloys
An alloy is a mixture of metals or a metal with a non-metal.
Alloys have improved properties like strength, resistance to rusting.
This chapter provides an in-depth overview of the viscosity of macromolecules, an essential concept in biophysics and medical sciences, especially in understanding fluid behavior like blood flow in the human body.
Key concepts covered include:
✅ Definition and Types of Viscosity: Dynamic vs. Kinematic viscosity, cohesion, and adhesion.
⚙️ Methods of Measuring Viscosity:
Rotary Viscometer
Vibrational Viscometer
Falling Object Method
Capillary Viscometer
🌡️ Factors Affecting Viscosity: Temperature, composition, flow rate.
🩺 Clinical Relevance: Impact of blood viscosity in cardiovascular health.
🌊 Fluid Dynamics: Laminar vs. turbulent flow, Reynolds number.
🔬 Extension Techniques:
Chromatography (adsorption, partition, TLC, etc.)
Electrophoresis (protein/DNA separation)
Sedimentation and Centrifugation methods.
*Metamorphosis* is a biological process where an animal undergoes a dramatic transformation from a juvenile or larval stage to a adult stage, often involving significant changes in form and structure. This process is commonly seen in insects, amphibians, and some other animals.
How to Customize Your Financial Reports & Tax Reports With Odoo 17 AccountingCeline George
The Accounting module in Odoo 17 is a complete tool designed to manage all financial aspects of a business. Odoo offers a comprehensive set of tools for generating financial and tax reports, which are crucial for managing a company's finances and ensuring compliance with tax regulations.
APM event hosted by the Midlands Network on 30 April 2025.
Speaker: Sacha Hind, Senior Programme Manager, Network Rail
With fierce competition in today’s job market, candidates need a lot more than a good CV and interview skills to stand out from the crowd.
Based on her own experience of progressing to a senior project role and leading a team of 35 project professionals, Sacha shared not just how to land that dream role, but how to be successful in it and most importantly, how to enjoy it!
Sacha included her top tips for aspiring leaders – the things you really need to know but people rarely tell you!
We also celebrated our Midlands Regional Network Awards 2025, and presenting the award for Midlands Student of the Year 2025.
This session provided the opportunity for personal reflection on areas attendees are currently focussing on in order to be successful versus what really makes a difference.
Sacha answered some common questions about what it takes to thrive at a senior level in a fast-paced project environment: Do I need a degree? How do I balance work with family and life outside of work? How do I get leadership experience before I become a line manager?
The session was full of practical takeaways and the audience also had the opportunity to get their questions answered on the evening with a live Q&A session.
Attendees hopefully came away feeling more confident, motivated and empowered to progress their careers
How to manage Multiple Warehouses for multiple floors in odoo point of saleCeline George
The need for multiple warehouses and effective inventory management is crucial for companies aiming to optimize their operations, enhance customer satisfaction, and maintain a competitive edge.
Understanding P–N Junction Semiconductors: A Beginner’s GuideGS Virdi
Dive into the fundamentals of P–N junctions, the heart of every diode and semiconductor device. In this concise presentation, Dr. G.S. Virdi (Former Chief Scientist, CSIR-CEERI Pilani) covers:
What Is a P–N Junction? Learn how P-type and N-type materials join to create a diode.
Depletion Region & Biasing: See how forward and reverse bias shape the voltage–current behavior.
V–I Characteristics: Understand the curve that defines diode operation.
Real-World Uses: Discover common applications in rectifiers, signal clipping, and more.
Ideal for electronics students, hobbyists, and engineers seeking a clear, practical introduction to P–N junction semiconductors.
2. Lambda Function
Lambda functions are also called anonymous
functions. An anonymous function is a function
defined without a name. As we know to define
a normal function in python, we need to use
the def keyword. But in this case of anonymous
functions, we use the lambda keyword to
define the functions.
3. The characteristics of lambda function
The lambda function can take many
arguments but can return only one
expression.
Syntactically, lambda functions are
restricted to only a single expression.
We can use them as an anonymous
function inside other functions.
Lambda function is reusable.
4. Why should we use lambda functions?
Lambda functions are used when we need a
function for a short period of time. This is
commonly used when we want to pass a
function as an argument to higher-order
functions, that is, functions that take other
functions as their arguments.
5. Basic Syntax of Lambda Function
lambda arguments : expression
Every lambda
begins with the
“lambda” keyword
A lambda can have
multiple arguments
A colon precedes
the expression
The expression always
returns a object
6. Example
double = lambda x : x * 2
print(double(5))
Output:
10
Function object that accepts and
stores the result of the expression