The document discusses for loops in Python. It explains that for loops are used to iterate over sequences like lists, tuples, and strings. There are two types of for loops: 1) Getting each element of the sequence, and 2) Using the range() function to generate a sequence of numbers to use as indexes. The document provides examples of iterating over lists and strings using for loops, and using break and continue statements to control loop behavior. It also explains how to use the range() function to generate a sequence of numbers for iteration.
This document discusses strings in Python. It shows how to create strings, concatenate strings using the + operator, use print() to output strings, and run Python scripts. It also covers string slicing to access parts of a string, string indices, the len() function, and calculating string halfway points using integer division.
This document discusses loops in Python. It introduces loops as a way to repeat instructions multiple times until a condition is met. The two main types of loops in Python are for loops, which iterate over a sequence, and while loops, which execute statements as long as a condition is true. It provides examples of for and while loops and covers else statements, loop control statements like break and continue, and some key points about loops in Python.
Types of Statements in Python Programming LanguageExplore Skilled
The slide describes the types of flow control statements in Python including conditional statement , loop statement , control statement such as break and continue .
The document provides an overview of pandas series including:
- Creation of series from arrays, dictionaries, scalar values
- Mathematical operations on series like addition, subtraction
- Functions to access series data like head(), tail(), indexing, slicing
- Examples of arithmetic operations on series using operators and methods
Modules in Python allow organizing classes into files to make them available and easy to find. Modules are simply Python files that can import classes from other modules in the same folder. Packages allow further organizing modules into subfolders, with an __init__.py file making each subfolder a package. Modules can import classes from other modules or packages using either absolute or relative imports, and the __init__.py can simplify imports from its package. Modules can also contain global variables and classes to share resources across a program.
The document discusses for loops in Python. It explains that for loops are used to iterate over sequences like lists, tuples, and strings. There are two types of for loops: 1) Getting each element of the sequence, and 2) Using the range() function to generate a sequence of numbers to use as indexes. The document provides examples of iterating over lists and strings using for loops, and using break and continue statements to control loop behavior. It also explains how to use the range() function to generate a sequence of numbers for iteration.
This document discusses strings in Python. It shows how to create strings, concatenate strings using the + operator, use print() to output strings, and run Python scripts. It also covers string slicing to access parts of a string, string indices, the len() function, and calculating string halfway points using integer division.
This document discusses loops in Python. It introduces loops as a way to repeat instructions multiple times until a condition is met. The two main types of loops in Python are for loops, which iterate over a sequence, and while loops, which execute statements as long as a condition is true. It provides examples of for and while loops and covers else statements, loop control statements like break and continue, and some key points about loops in Python.
Types of Statements in Python Programming LanguageExplore Skilled
The slide describes the types of flow control statements in Python including conditional statement , loop statement , control statement such as break and continue .
The document provides an overview of pandas series including:
- Creation of series from arrays, dictionaries, scalar values
- Mathematical operations on series like addition, subtraction
- Functions to access series data like head(), tail(), indexing, slicing
- Examples of arithmetic operations on series using operators and methods
Modules in Python allow organizing classes into files to make them available and easy to find. Modules are simply Python files that can import classes from other modules in the same folder. Packages allow further organizing modules into subfolders, with an __init__.py file making each subfolder a package. Modules can import classes from other modules or packages using either absolute or relative imports, and the __init__.py can simplify imports from its package. Modules can also contain global variables and classes to share resources across a program.
Python modules allow code reuse and organization. A module is a Python file with a .py extension that contains functions and other objects. Modules can be imported and their contents accessed using dot notation. Modules have a __name__ variable that is set to the module name when imported but is set to "__main__" when the file is executed as a script. Packages are collections of modules organized into directories, with each directory being a package. The Python path defines locations where modules can be found during imports.
Python is an open source programming language created by Guido van Rossum in 1991. It is named after the comedy group Monty Python and is based on the ABC language. Python supports both procedural and object-oriented programming and can be used for web development, data analysis, artificial intelligence, and more. It has a simple syntax and large standard library that make it easy to learn and use for various applications.
This document contains information about a mentoring program run by Baabtra-Mentoring Partner. It includes:
- A disclaimer that this is not an official Baabtra document
- A table showing a mentee's typing speed progress over 5 weeks
- An empty table to track jobs applied to by the mentee
- An explanation of sets in Python, including how to construct, manipulate, perform operations on, and iterate over sets
- Contact information for Baabtra
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 the Python programming language. It describes Python as a multi-purpose, object-oriented language that is interpreted, dynamically typed and focuses on readability. It lists several major organizations that use Python. It then provides examples of basic Python programs and covers key Python concepts like variables, data types, strings, comments, functions and more in under 3 sentences each.
Functions allow programmers to organize code into reusable blocks. A function is defined using the def keyword and can accept parameters. The body of a function contains a set of statements that run when the function is called. Functions can return values and allow code to be reused, reducing errors and improving readability. Parameters allow information to be passed into functions, while return values allow functions to provide results.
This document discusses Python namespaces and modules. It explains that namespaces prevent name conflicts and modules are the basic unit of code reuse. Functions, classes, and modules each have their own namespace. Importing modules adds their names to the global namespace. The document recommends importing modules using 'import' to avoid potential name conflicts or namespace pollution. It also describes how scopes resolve which definition to use when the same name is defined in multiple scopes.
C# - Constants and Literals. The constants refer to fixed values that the program may not alter during its execution. These fixed values are also called literals. Constants can be of any of the basic data types like an integer constant, a floating constant, a character constant, or a string literal.
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.
This document discusses using Python and SQLite3 to interact with a SQLite database. It shows how to connect to a database using sqlite3.connect(), get a cursor object using conn.cursor(), execute SQL statements like CREATE TABLE and INSERT using the cursor's execute method, and retrieve data using fetch methods. The goal is to demonstrate basic SQLite database operations in Python like creating tables, inserting data, and querying data.
This document discusses various Python functions concepts including defining simple functions, functions with arguments, default arguments, lambda functions, generators, and decorators. It provides examples of defining functions that take positional and keyword arguments, using lambda functions, creating generators using yield, and applying decorators to functions. Various introspection methods like type(), dir(), and callable() are also covered.
This document discusses files in Python. It begins by defining what a file is and explaining that files enable persistent storage on disk. It then covers opening, reading from, and writing to files in Python. The main types of files are text and binary, and common file operations are open, close, read, and write. It provides examples of opening files in different modes, reading files line by line or in full, and writing strings or lists of strings to files. It also discusses searching files and handling errors when opening files. In the end, it presents some exercises involving copying files, counting words in a file, and converting decimal to binary.
in this how the split() function work with string in python is discussed
TO DOWNLOAD MORE INFORMATION:
https://computerassignmentsforu.blogspot.com/p/stringinpythonsplit.html
VIDEO TUTORIAL LINK:
https://youtu.be/6BvslDmk1Z8
This document discusses functions in Python. It defines a function as a block of reusable code that has a name. The function header includes the name, parameters in parentheses, and return type. The function body contains the code within curly braces. Functions are called by their name and parameters are passed within parentheses. Examples are provided of defining, calling, and returning values from functions in Python.
This document discusses Python data types. It explains that Python can determine data types and everything is an object with an identity and type. The main data types covered are numbers, strings, lists, tuples, sets, and dictionaries. It provides examples and descriptions of each data type, including that numbers, strings and tuples are immutable while lists and dictionaries are mutable. It also discusses Boolean values and built-in functions related to numeric data types.
Python programming language provides the following types of loops to handle looping requirements:
1. While
2. Do While
3. For loop
Python provides three ways for executing the loops. While all the ways provide similar basic functionality, they differ in their syntax and condition-checking time.
Loops allow blocks of code to be executed repeatedly. The two main types of loops in Python are for loops and while loops. For loops are used to iterate over an iterable object like a list or string, while while loops continue executing until a condition is no longer true. Loop control statements like continue, break, and pass can change the normal execution flow of loops. Nested loops involve having a loop inside the body of another loop.
Python uses indentation to define code blocks for decision making statements like if, elif and else. The if statement executes code if a condition is true, elif allows checking multiple conditions, and else runs code if all conditions are false. Loops like while and for repeat code, with while looping until a condition is false and for iterating over a sequence. Nested loops can run inner loops multiple times during outer loop iterations. The else block after a for runs if all iterations complete without breaking from the loop.
Python modules allow code reuse and organization. A module is a Python file with a .py extension that contains functions and other objects. Modules can be imported and their contents accessed using dot notation. Modules have a __name__ variable that is set to the module name when imported but is set to "__main__" when the file is executed as a script. Packages are collections of modules organized into directories, with each directory being a package. The Python path defines locations where modules can be found during imports.
Python is an open source programming language created by Guido van Rossum in 1991. It is named after the comedy group Monty Python and is based on the ABC language. Python supports both procedural and object-oriented programming and can be used for web development, data analysis, artificial intelligence, and more. It has a simple syntax and large standard library that make it easy to learn and use for various applications.
This document contains information about a mentoring program run by Baabtra-Mentoring Partner. It includes:
- A disclaimer that this is not an official Baabtra document
- A table showing a mentee's typing speed progress over 5 weeks
- An empty table to track jobs applied to by the mentee
- An explanation of sets in Python, including how to construct, manipulate, perform operations on, and iterate over sets
- Contact information for Baabtra
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 the Python programming language. It describes Python as a multi-purpose, object-oriented language that is interpreted, dynamically typed and focuses on readability. It lists several major organizations that use Python. It then provides examples of basic Python programs and covers key Python concepts like variables, data types, strings, comments, functions and more in under 3 sentences each.
Functions allow programmers to organize code into reusable blocks. A function is defined using the def keyword and can accept parameters. The body of a function contains a set of statements that run when the function is called. Functions can return values and allow code to be reused, reducing errors and improving readability. Parameters allow information to be passed into functions, while return values allow functions to provide results.
This document discusses Python namespaces and modules. It explains that namespaces prevent name conflicts and modules are the basic unit of code reuse. Functions, classes, and modules each have their own namespace. Importing modules adds their names to the global namespace. The document recommends importing modules using 'import' to avoid potential name conflicts or namespace pollution. It also describes how scopes resolve which definition to use when the same name is defined in multiple scopes.
C# - Constants and Literals. The constants refer to fixed values that the program may not alter during its execution. These fixed values are also called literals. Constants can be of any of the basic data types like an integer constant, a floating constant, a character constant, or a string literal.
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.
This document discusses using Python and SQLite3 to interact with a SQLite database. It shows how to connect to a database using sqlite3.connect(), get a cursor object using conn.cursor(), execute SQL statements like CREATE TABLE and INSERT using the cursor's execute method, and retrieve data using fetch methods. The goal is to demonstrate basic SQLite database operations in Python like creating tables, inserting data, and querying data.
This document discusses various Python functions concepts including defining simple functions, functions with arguments, default arguments, lambda functions, generators, and decorators. It provides examples of defining functions that take positional and keyword arguments, using lambda functions, creating generators using yield, and applying decorators to functions. Various introspection methods like type(), dir(), and callable() are also covered.
This document discusses files in Python. It begins by defining what a file is and explaining that files enable persistent storage on disk. It then covers opening, reading from, and writing to files in Python. The main types of files are text and binary, and common file operations are open, close, read, and write. It provides examples of opening files in different modes, reading files line by line or in full, and writing strings or lists of strings to files. It also discusses searching files and handling errors when opening files. In the end, it presents some exercises involving copying files, counting words in a file, and converting decimal to binary.
in this how the split() function work with string in python is discussed
TO DOWNLOAD MORE INFORMATION:
https://computerassignmentsforu.blogspot.com/p/stringinpythonsplit.html
VIDEO TUTORIAL LINK:
https://youtu.be/6BvslDmk1Z8
This document discusses functions in Python. It defines a function as a block of reusable code that has a name. The function header includes the name, parameters in parentheses, and return type. The function body contains the code within curly braces. Functions are called by their name and parameters are passed within parentheses. Examples are provided of defining, calling, and returning values from functions in Python.
This document discusses Python data types. It explains that Python can determine data types and everything is an object with an identity and type. The main data types covered are numbers, strings, lists, tuples, sets, and dictionaries. It provides examples and descriptions of each data type, including that numbers, strings and tuples are immutable while lists and dictionaries are mutable. It also discusses Boolean values and built-in functions related to numeric data types.
Python programming language provides the following types of loops to handle looping requirements:
1. While
2. Do While
3. For loop
Python provides three ways for executing the loops. While all the ways provide similar basic functionality, they differ in their syntax and condition-checking time.
Loops allow blocks of code to be executed repeatedly. The two main types of loops in Python are for loops and while loops. For loops are used to iterate over an iterable object like a list or string, while while loops continue executing until a condition is no longer true. Loop control statements like continue, break, and pass can change the normal execution flow of loops. Nested loops involve having a loop inside the body of another loop.
Python uses indentation to define code blocks for decision making statements like if, elif and else. The if statement executes code if a condition is true, elif allows checking multiple conditions, and else runs code if all conditions are false. Loops like while and for repeat code, with while looping until a condition is false and for iterating over a sequence. Nested loops can run inner loops multiple times during outer loop iterations. The else block after a for runs if all iterations complete without breaking from the loop.
The document provides an overview of the basics of the Python programming language. It discusses that Python is an interpreted, interactive, object-oriented scripting language. It also covers Python's history and describes it as being easy to learn and read, easy to maintain, portable, and extensible. The document then details Python's core data types including numbers, strings, lists, tuples, and dictionaries. It provides examples of how to define and manipulate variables of each data type in Python.
The document discusses Python control structures including if-else statements, indentation, and loops. It provides examples of if statements, if-else statements, nested if statements, and elif statements to test conditions and execute code blocks accordingly. It also discusses for loops and the range() function to iterate through sequences and generate number sequences to repeat code. Loops simplify problems by allowing code to repeat without rewriting and help traverse data structures.
This document contains notes from a Python class covering functions, lists, strings, and their methods. It discusses built-in functions like len(), range(), and type conversions. It also covers control flow structures like if/else, for loops, exceptions, modules, and functions in more detail including defining functions, parameters, arguments, returning values, docstring, and variable scopes. Assignments include writing functions to process lists and check for palindromes in strings.
This document discusses control flow statements and loops in Python programming. It covers decision control statements like if, if-else and if-elif-else and loops like for and while loops. It provides examples of using these statements to make decisions and iterate over sequences. It also discusses concepts like break, continue and pass statements used to control program flow. The document concludes with some lab assignments involving applying control flow statements and loops to solve problems.
The document provides information on various decision making and looping constructs in Python like if, else, elif, for, while loops. It explains the syntax and usage of these statements with examples. Key decision making constructs covered include if-else, if-elif-else statements. Looping constructs covered include for loops over sequences, range function to generate sequences, while loops, break and continue keywords in loops. Nested if statements and usage of else block with for and while loops are also discussed.
This document provides an overview of Python basics including statements, expressions, loops, strings, functions, and more. It discusses what a program is and how it runs. It explains how to get input from the user, import modules like math, use assignment statements, and print output. It also covers syntax, side effects vs returns, whitespace, operators, loops, range function, strings, indexes, basic string operations, len function, and functions. The document is from a Python training institute in Bangalore and is intended to teach Python fundamentals.
A program is a sequence of instructions that are run by the processor. To run a program, it must be compiled into binary code and given to the operating system. The OS then gives the code to the processor to execute. Functions allow code to be reused by defining operations and optionally returning values. Strings are sequences of characters that can be manipulated using indexes and methods. Common string methods include upper() and concatenation using +.
A program is a sequence of instructions that are run by the processor. To run a program, it must be compiled into binary code and given to the operating system. The OS then gives the code to the processor to execute. Functions allow code to be reused by defining operations and returning values. Strings are sequences of characters that can be manipulated using indexes and methods. Common string methods include upper() and concatenation using +.
A program is a sequence of instructions that are run by the processor. To run a program, it must be compiled into binary code and given to the operating system. The OS then tells the processor to execute the program. Functions allow code to be reused by defining operations that take in arguments and return values. Strings are sequences of characters that can be accessed by index and manipulated with methods like upper() that return new strings.
A program is a sequence of instructions that are run by the processor. To run a program, it must be compiled into binary code and given to the operating system. The OS then gives the code to the processor to execute. Functions allow code to be reused by defining operations and returning values. Strings are sequences of characters that can be manipulated using indexes and methods. Common string methods include upper() and concatenation using +.
A program is a sequence of instructions that are run by the processor. To run a program, it must be compiled into binary code and given to the operating system. The OS then gives the code to the processor to execute. Functions allow code to be reused by defining operations and returning values. Strings are sequences of characters that can be manipulated using indexes and methods. Common string methods include upper() and concatenation using +.
A program is a sequence of instructions that are run by the processor. To run a program, it must be compiled into binary code and given to the operating system. The OS then gives the code to the processor to execute. Functions allow code to be reused by defining operations and returning values. Strings are sequences of characters that can be accessed by index and manipulated with methods like upper() that return new strings.
A program is a sequence of instructions that are run by the processor. To run a program, it must be compiled into binary code and given to the operating system. The OS then gives the code to the processor to execute. Functions allow code to be reused by defining operations and returning values. Strings are sequences of characters that can be accessed by index and manipulated with methods like upper() that return new strings.
Basic Python Programming: Part 01 and Part 02Fariz Darari
This document discusses basic Python programming concepts including strings, functions, conditionals, loops, imports and recursion. It begins with examples of printing strings, taking user input, and calculating areas of shapes. It then covers variables and data types, operators, conditional statements, loops, functions, imports, strings, and recursion. Examples are provided throughout to demonstrate each concept.
Looping Statements and Control Statements in PythonPriyankaC44
This document discusses looping statements and control statements in Python. It explains while loops, for loops, and the use of break, continue, else and pass statements. Some key points:
- While loops repeatedly execute statements as long as a condition is true. For loops iterate over a sequence.
- Break and continue statements can alter loop flow - break exits the entire loop, continue skips to the next iteration.
- The else block in loops runs when the condition becomes false (while) or the sequence is complete (for).
- Pass is a null operation used when syntax requires a statement but no operation is needed.
Several examples of loops and control statements are provided to demonstrate their usage.
Iterators in Python allow iteration over iterable objects like lists, tuples, dicts and sets. An iterator is initialized using the iter() method and iterates using the next() method. For loops internally use iter() and next() to iterate. Custom iterators can also be defined by implementing the __iter__() and __next__() methods. Some key differences between recursion and iteration are that recursion involves function calls while iteration uses loops, and recursion has greater overhead. Common algorithms like factorial, Fibonacci sequence and Tower of Hanoi can be implemented using both recursion and iteration.
This document provides an overview of the basics of the Python programming language. It discusses Python's history and features, data types like numbers, strings, lists, tuples and dictionaries. It also covers Python concepts like variables, operators, control flow statements and functions. Specific topics covered include Python interpreters, comments, variables and scopes, data structures, conditional statements like if/else, and exceptions handling.
The document contains 60 interview questions and answers related to Java. Some key topics covered include:
- The Java Virtual Machine (JVM) and differences between JDK and JVM
- Platform independence and access modifiers in Java
- Inheritance, polymorphism, and abstraction
- Exceptions and exception handling
- Threads and concurrency
- JDBC and database connectivity
- Servlets, JSP, and web technologies
- Object-oriented programming concepts like classes, objects, methods, and constructors.
The questions progress from basic Java concepts to more advanced topics like RMI, EJBs, and memory management.
Modifiers types are keywords that set access levels for classes, variables, methods, and constructors. There are 4 types of access modifiers: default, public, private, and protected. The default access modifier allows access within the same package only. The public access modifier allows access from anywhere in the program. The private access modifier allows access only within the class. The protected access modifier allows access within the same package or subclasses in different packages.
There are three types of variables in Java: local, instance, and class/static variables. Local variables are declared within methods and can only be accessed within that method. Instance variables are declared within a class but outside of methods, and can be accessed by any non-static method of that class. Class/static variables are also declared within a class but with the static keyword, and can be accessed from both static and non-static contexts.
This document discusses basic Java datatypes. It explains that datatypes are used to create variables which reserve memory locations to store values. There are two main categories of datatypes - primitive and reference/object. The 8 primitive datatypes are byte, short, int, long, float, double, boolean and char. Reference datatypes refer to class objects and arrays. The document provides details on the typical size, range and usage of each primitive datatype. It also covers notation characters used to represent special characters in strings and chars.
1. The document contains 44 questions and answers about database management systems (DBMS). It covers topics like what is a database, DBMS, data models, normalization, SQL, and more.
2. The questions range from basic definitions to more advanced concepts in database design like functional dependencies, various normal forms, and distributed database architectures.
3. Key areas covered include data definition language (DDL), data manipulation language (DML), database security, concurrency control, and distributed database architectures.
C is a widely used programming language developed in the 1970s. It is efficient and commonly used for system software and applications. Variables in C have automatic, static, or allocated storage classes. Static variables retain their value between function calls. Hashing is used to convert data into integers to enable fast searching when there is no inherent ordering. Include files can be nested and precompiled headers improve compilation speed. Pointers can have a null value to represent no target. calloc() allocates memory for an array and initializes elements to 0 while malloc() only allocates raw memory.
This document contains 15 technical interview questions and answers about various programming concepts in C/C++. The questions cover topics such as the differences between String, StringBuffer and StringBuilder classes, access modifiers like public, private and protected, pointers, friend functions, constructors, operator overloading, function overloading, inline functions, inheritance, abstraction, encapsulation, recursion, structures, nested structures, and pointers to pointers.
This document contains 35 PHP interview questions and their answers. Some key details include:
- Rasmus Lerdorf is the father of PHP.
- $name is a variable while $$name is a reference variable.
- Forms can be submitted via GET and POST methods.
- Sessions are used to store temporary data across page requests and are closed when the browser closes.
- Variables can be passed between pages via the session, cookies, or URL parameters.
- Sizeof() and count() can be used to find the number of elements in an array.
- Functions like mysql_create_db() can be used to create databases from PHP.
Computer memory stores data and instructions either temporarily or permanently. It comes in various types and sizes, from bits to yottabytes. Primary memory, also called main memory, is internal and integral to the CPU, providing the main working space. It is volatile and temporary. Secondary memory is external and permanent backup storage, including floppy disks, hard disks, optical disks, USB drives, and memory cards.
The document lists over 100 branches of science, including archeology, aerodynamics, jurisprudence, odontology, lexicography, biology, geology, optics, aeronautics, astronomy, ecology, physiology, zoology, botany, cryptography, and more. It covers sciences related to the study of history, humanities, life sciences, earth sciences, physical sciences, technology, and their various applications and subdisciplines.
This slide is special for master students (MIBS & MIFB) in UUM. Also useful for readers who are interested in the topic of contemporary Islamic banking.
ISO/IEC 27001, ISO/IEC 42001, and GDPR: Best Practices for Implementation and...PECB
Denis is a dynamic and results-driven Chief Information Officer (CIO) with a distinguished career spanning information systems analysis and technical project management. With a proven track record of spearheading the design and delivery of cutting-edge Information Management solutions, he has consistently elevated business operations, streamlined reporting functions, and maximized process efficiency.
Certified as an ISO/IEC 27001: Information Security Management Systems (ISMS) Lead Implementer, Data Protection Officer, and Cyber Risks Analyst, Denis brings a heightened focus on data security, privacy, and cyber resilience to every endeavor.
His expertise extends across a diverse spectrum of reporting, database, and web development applications, underpinned by an exceptional grasp of data storage and virtualization technologies. His proficiency in application testing, database administration, and data cleansing ensures seamless execution of complex projects.
What sets Denis apart is his comprehensive understanding of Business and Systems Analysis technologies, honed through involvement in all phases of the Software Development Lifecycle (SDLC). From meticulous requirements gathering to precise analysis, innovative design, rigorous development, thorough testing, and successful implementation, he has consistently delivered exceptional results.
Throughout his career, he has taken on multifaceted roles, from leading technical project management teams to owning solutions that drive operational excellence. His conscientious and proactive approach is unwavering, whether he is working independently or collaboratively within a team. His ability to connect with colleagues on a personal level underscores his commitment to fostering a harmonious and productive workplace environment.
Date: May 29, 2024
Tags: Information Security, ISO/IEC 27001, ISO/IEC 42001, Artificial Intelligence, GDPR
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Training: ISO/IEC 27001 Information Security Management System - EN | PECB
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Main Java[All of the Base Concepts}.docxadhitya5119
This is part 1 of my Java Learning Journey. This Contains Custom methods, classes, constructors, packages, multithreading , try- catch block, finally block and more.
LAND USE LAND COVER AND NDVI OF MIRZAPUR DISTRICT, UPRAHUL
This Dissertation explores the particular circumstances of Mirzapur, a region located in the
core of India. Mirzapur, with its varied terrains and abundant biodiversity, offers an optimal
environment for investigating the changes in vegetation cover dynamics. Our study utilizes
advanced technologies such as GIS (Geographic Information Systems) and Remote sensing to
analyze the transformations that have taken place over the course of a decade.
The complex relationship between human activities and the environment has been the focus
of extensive research and worry. As the global community grapples with swift urbanization,
population expansion, and economic progress, the effects on natural ecosystems are becoming
more evident. A crucial element of this impact is the alteration of vegetation cover, which plays a
significant role in maintaining the ecological equilibrium of our planet.Land serves as the foundation for all human activities and provides the necessary materials for
these activities. As the most crucial natural resource, its utilization by humans results in different
'Land uses,' which are determined by both human activities and the physical characteristics of the
land.
The utilization of land is impacted by human needs and environmental factors. In countries
like India, rapid population growth and the emphasis on extensive resource exploitation can lead
to significant land degradation, adversely affecting the region's land cover.
Therefore, human intervention has significantly influenced land use patterns over many
centuries, evolving its structure over time and space. In the present era, these changes have
accelerated due to factors such as agriculture and urbanization. Information regarding land use and
cover is essential for various planning and management tasks related to the Earth's surface,
providing crucial environmental data for scientific, resource management, policy purposes, and
diverse human activities.
Accurate understanding of land use and cover is imperative for the development planning
of any area. Consequently, a wide range of professionals, including earth system scientists, land
and water managers, and urban planners, are interested in obtaining data on land use and cover
changes, conversion trends, and other related patterns. The spatial dimensions of land use and
cover support policymakers and scientists in making well-informed decisions, as alterations in
these patterns indicate shifts in economic and social conditions. Monitoring such changes with the
help of Advanced technologies like Remote Sensing and Geographic Information Systems is
crucial for coordinated efforts across different administrative levels. Advanced technologies like
Remote Sensing and Geographic Information Systems
9
Changes in vegetation cover refer to variations in the distribution, composition, and overall
structure of plant communities across different temporal and spatial scales. These changes can
occur natural.
Exploiting Artificial Intelligence for Empowering Researchers and Faculty, In...Dr. Vinod Kumar Kanvaria
Exploiting Artificial Intelligence for Empowering Researchers and Faculty,
International FDP on Fundamentals of Research in Social Sciences
at Integral University, Lucknow, 06.06.2024
By Dr. Vinod Kumar Kanvaria
This presentation was provided by Steph Pollock of The American Psychological Association’s Journals Program, and Damita Snow, of The American Society of Civil Engineers (ASCE), for the initial session of NISO's 2024 Training Series "DEIA in the Scholarly Landscape." Session One: 'Setting Expectations: a DEIA Primer,' was held June 6, 2024.
Executive Directors Chat Leveraging AI for Diversity, Equity, and InclusionTechSoup
Let’s explore the intersection of technology and equity in the final session of our DEI series. Discover how AI tools, like ChatGPT, can be used to support and enhance your nonprofit's DEI initiatives. Participants will gain insights into practical AI applications and get tips for leveraging technology to advance their DEI goals.
How to Build a Module in Odoo 17 Using the Scaffold MethodCeline George
Odoo provides an option for creating a module by using a single line command. By using this command the user can make a whole structure of a module. It is very easy for a beginner to make a module. There is no need to make each file manually. This slide will show how to create a module using the scaffold method.
Walmart Business+ and Spark Good for Nonprofits.pdfTechSoup
"Learn about all the ways Walmart supports nonprofit organizations.
You will hear from Liz Willett, the Head of Nonprofits, and hear about what Walmart is doing to help nonprofits, including Walmart Business and Spark Good. Walmart Business+ is a new offer for nonprofits that offers discounts and also streamlines nonprofits order and expense tracking, saving time and money.
The webinar may also give some examples on how nonprofits can best leverage Walmart Business+.
The event will cover the following::
Walmart Business + (https://business.walmart.com/plus) is a new shopping experience for nonprofits, schools, and local business customers that connects an exclusive online shopping experience to stores. Benefits include free delivery and shipping, a 'Spend Analytics” feature, special discounts, deals and tax-exempt shopping.
Special TechSoup offer for a free 180 days membership, and up to $150 in discounts on eligible orders.
Spark Good (walmart.com/sparkgood) is a charitable platform that enables nonprofits to receive donations directly from customers and associates.
Answers about how you can do more with Walmart!"
Strategies for Effective Upskilling is a presentation by Chinwendu Peace in a Your Skill Boost Masterclass organisation by the Excellence Foundation for South Sudan on 08th and 09th June 2024 from 1 PM to 3 PM on each day.
A workshop hosted by the South African Journal of Science aimed at postgraduate students and early career researchers with little or no experience in writing and publishing journal articles.
How to Manage Your Lost Opportunities in Odoo 17 CRMCeline George
Odoo 17 CRM allows us to track why we lose sales opportunities with "Lost Reasons." This helps analyze our sales process and identify areas for improvement. Here's how to configure lost reasons in Odoo 17 CRM
2. Python Loop
• Python provides three ways for executing the loops.
• While loop
• For loop
3. Python – While Loop
• In python, while loop is used to
execute a block of statements
repeatedly until a given a condition is
satisfied
• When the condition becomes false, the
line immediately after the loop in
program is executed.
count = 0
while (count < 3):
count = count + 1
print("Hello Zooming")
Hello Zooming
Hello Zooming
Hello Zooming
4. Python – While Loop
# while like else statement
count = 0
while (count < 3):
count = count + 1
print("Hello Zooming")
else:
print("In Else Block")
Hello Zooming
Hello Zooming
Hello Zooming
In Else Block
# Single statement while block
count = 0
while (count == 0): print("Hello Zooming")
No result
5. Python – For Loop
# Iterating over a list
print("List Iteration")
l = ["geeks", "for", "geeks"]
for i in l:
print(i)
# Iterating over a tuple (immutable)
print("nTuple Iteration")
t = ("geeks", "for", "geeks")
for i in t:
print(i)
# Iterating over a String
print("nString Iteration")
s = "Geeks"
for i in s :
print(i)
# Iterating over dictionary
print("nDictionary Iteration")
d = dict()
d['xyz'] = 123
d['abc'] = 345
for i in d :
print("%s %d" %(i, d[i]))
6. Python – For Loop with index sequence
list = ["geeks", "for", "geeks"]
for index in range(len(list)):
print list[index]
else:
print("In Else Block")
• We can also use the index of elements in
the sequence to iterate.
• The key idea is to first calculate the
length of the list and in iterate over the
sequence within the range of this length.
geeks
for
geeks
Inside Else Block
7. Python – Nested For Loop
• Python programming language allows to
use one loop inside another loop.
• A final note on loop nesting is that we
can put any type of loop inside of any
other type of loop
for i in range(1, 5):
for j in range(i):
print(i, end=' ')
print()
1
2 2
3 3 3
4 4 4 4
8. Python – Loop Control Statement
# Continue statement
for letter in 'geeksforgeeks':
if letter == 'e' or letter == 's':
continue
print 'Current Letter :', letter
# Break statement
for letter in 'geeksforgeeks':
if letter == 'e' or letter == 's':
break
print 'Current Letter :', letter
Current Letter : g
Current Letter : k
Current Letter : f
Current Letter : o
Current Letter : r
Current Letter : g
Current Letter : k
Current Letter : e