Slides for Lecture 5 of the course: Introduction to Programming with Python offered at ICCBS.
It covers the following topics:
1.)Python Modules
2.)File I/O
3.)Exceptions & Error Handling
Python Session - 2
Install Python
Run Python
Python Keyword
Python Identifiers
Python Variables
Python Literals
Python Comments
By default Python installed on following path in Windows
C:\Users\user\AppData\Local\Programs\Python\Python37
Removing the MAX_PATH Limitation :
Windows historically has limited path lengths to 260 characters. This meant that paths longer than this would not resolve and errors would result.
In the latest versions of Windows, this limitation can be expanded to approximately 32,000 characters. Your administrator will need to activate the “Enable Win32 long paths” group policy, or set the registry value HKEY_LOCAL_MACHINE\SYSTEM\CurrentControlSet\Control\FileSystem@LongPathsEnabled to 1.
Python Modules
Python Package
Python File I/O
Modules refer to a file containing Python statements and definitions.
A file containing Python code, for e.g.: filename.py, is called a module and its module name would be filename.
We use modules to break down large programs into small manageable and organized files. Furthermore, modules provide reusability of code.
We can define our most used functions in a module and import it, instead of copying their definitions into different programs.
Python Session - 3
Escape Sequence
Data Types
Conversion between data types
Operators
Python Numbers
Python List
Python Tuple
Python Strings
Python Set
Python Dictionary
This document provides an overview of Java I/O streams and how to open, use, and close them. It discusses how opening a stream creates a connection to external data, using a stream involves reading or writing data, and closing streams is important to release resources. It then gives examples of opening a FileReader stream, reading lines with a BufferedReader, and closing streams. The document also introduces LineReader and LineWriter classes that simplify reading and writing text files line-by-line in Java.
This document provides an introduction to the Python programming language. It discusses that Python is a popular general-purpose programming language created by Guido van Rossum in 1980. It is commonly used for web development, artificial intelligence, and software development. The document outlines how to set up a Python environment, including using an integrated development environment (IDE). It also introduces key Python concepts like variables, data types, arithmetic operations, user input, comments, conditions, loops, and functions.
This Python 45 Minutes hangout covers data types, functions, sorting, exceptions, and code organization. It discusses containers like lists, tuples, sets and dictionaries, defining functions, exception handling with try-except blocks, and organizing code into modules and namespaces. The hangout provides an introduction to these core Python concepts and encourages participants to ask questions.
This document provides an overview of Java I/O including different types of I/O, how Java supports I/O through streams and classes like File, serialization, compression, Console, and Properties. It discusses byte and character streams, buffered streams, reading/writing files, and preferences. Key points are that Java I/O uses streams as an abstraction, byte streams operate on bytes while character streams use characters, and buffered streams improve efficiency by buffering reads/writes.
Mohamed Essam teaches about various Python data structures including strings, lists, tuples, sets, and dictionaries. Some key points:
- Lists are ordered and changeable collections that can contain elements of different data types and allow duplicates. They use indexes to access elements.
- Tuples are ordered and unchangeable collections that can contain duplicates. They have fewer methods than lists.
- Sets are unordered and unindexed collections that do not allow duplicates. Items cannot be accessed by index and sets cannot be changed after creation, but new items can be added.
- Dictionaries store elements in key-value pairs and are ordered, changeable collections that do not allow duplicate keys. Items
The document discusses various Java I/O streams including input streams, output streams, byte streams, character streams, buffered streams, properties class, print stream, file locking, serialization and print writer class. It provides examples of reading and writing files using FileInputStream, FileOutputStream, FileReader, FileWriter and other stream classes. Methods of different stream classes are also explained along with their usage.
The document discusses various Java I/O stream classes:
- FileInputStream and FileOutputStream are used for reading and writing raw bytes to files.
- InputStreamReader and OutputStreamWriter bridge byte streams to character streams using a specified character encoding.
- FileReader and FileWriter are built on top of InputStreamReader and OutputStreamWriter respectively, and are used for reading and writing character streams from files.
Java I/O (Input and Output) is used to process the feedback and produce the outcome based on the feedback. Java uses the idea of circulation to make I/O function fast. The java.io package contains all the sessions required for feedback and outcome functions.
This document provides information about Python classes offered in Mumbai by Vibrant Technologies & Computers. It lists the address and contact details for Vibrant Technologies in Navi Mumbai. It then outlines 13 modules that will be covered in the Python classes, including topics like an overview of Python, running Python scripts, flow control, sequence data, defining functions, working with files, dictionaries and sets, errors and exception handling, using modules, regular expressions, the standard library, and an introduction to Python classes.
The document discusses techniques, challenges, and best practices for handling input/output (I/O) operations in Java. It covers the different types of I/O, how Java supports I/O through streams and readers/writers, issues with streams, alternatives like NIO that support non-blocking I/O using buffers and channels, and "Hiranya's Laws" with guidelines for proper I/O handling.
The document discusses files, streams, and different classes in Java for reading and writing files and streams. It explains that files exist on a local file system while streams represent a flow of characters. It also discusses the process of opening, reading from, and closing files, as well as using classes like FileReader, FileWriter, FileInputStream and FileOutputStream for reading/writing characters and bytes. It recommends using BufferedReader and BufferedWriter for more efficient reading of lines and writing of strings.
Streams are used for reading and writing data in Java. The Scanner class is used for reading text files by constructing a Scanner from a File object. The PrintStream class is used for writing to text files by specifying the file name and encoding. Exceptions may occur during I/O operations and should be handled using try-catch blocks to prevent program errors.
Introduction to Python for Data Science and Machine Learning ParrotAI
This document provides an introduction and overview of Python for data science and machine learning. It covers basics of Python including what Python is, its features, why it is useful for data science. It also discusses installing Python, using the IDLE and Jupyter Notebook environments. The document then covers Python basics like variables, data types, operators, decision making and loops. Finally, it discusses collection data types like lists, tuples and dictionaries and functions in Python.
Bt0067 c programming and data structures2Techglyphs
The document discusses various data structures and file input/output functions in C programming. It defines pointers and their advantages, describes the fread() function syntax, differentiates between linear and nonlinear data structures, discusses stack applications and operations, defines linked lists and their operations, and provides examples for each topic.
Python strings are sequences of characters that can be accessed and manipulated using various string methods. Strings can be declared using either single or double quotes and support escape characters. Strings are immutable and concatenation creates a new string. Common string methods include len() to get the length, lower()/upper() to case conversion, strip() to remove whitespace, and startswith()/endswith() to check substrings.
This document provides an overview of file handling in C++. It discusses different file types like text files and binary files. It introduces classes like ofstream, ifstream, and fstream for file stream operations like opening, closing, reading, and writing to files. It also covers error handling functions and manipulating file pointers using functions like seekg(), seekp(), tellg(), and tellp().
This document discusses file handling in C++. It begins by introducing files and streams as interfaces between programs and files for input/output. It then covers the various file stream classes like ifstream, ofstream and fstream and their functions. The document details text files versus binary files and various file opening modes. It provides examples of reading from and writing to both text and binary files using classes and functions like get(), put(), read(), write() and more. Finally, it briefly discusses the file pointer and its role in positioning within a file.
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.
Python is an interpreted, object-oriented programming language created by Guido van Rossum in 1990. It has a clear, readable syntax and is designed to be highly extensible. Python code is often much shorter than equivalent code in other languages like C++ or Java due to features like indentation-based blocks and dynamic typing. It is used for web development, scientific computing, and more.
The document discusses the reasons for Python's transition to Python 3 from Python 2. It argues that Python 3 is more consistent, separates concerns better, and reduces redundancy compared to Python 2. It also notes that Python 3 is now production-ready, and provides tools like 2to3 to help with the migration, though some refactoring may still be needed. Overall it makes the case that now is the time for the Python community to transition to Python 3.
The document provides an overview of file handling in C++. It discusses key concepts such as streams, file types (text and binary), opening and closing files, file modes, input/output operations, and file pointers. Functions for reading and writing to text files include put(), get(), and getline(). Binary files use write() and read() functions. File pointers can be manipulated using seekg(), seekp(), tellg(), and tellp() to move through files.
The document discusses Python programming language. Some key points:
- Python was invented by Guido Van Rossum and is a combination of various programming languages.
- It is a general purpose, high-level programming language that is interpreted, interactive, object-oriented and extensible.
- Python can be used for web applications, desktop applications, data analysis, artificial intelligence, and more. Popular companies that use Python include Google, YouTube, and NASA.
- Python code is portable and can run on various platforms. It has a simple syntax and is easy to learn.
This document is a Stanford Online Statement of Accomplishment certifying that Syed Farjad Zia Zaidi successfully completed with distinction an online Introduction to Databases course offered through OpenEdX. However, it does not confer any Stanford University course credit, grade, or degree and only verifies completion, not the student's identity.
Mohamed Essam teaches about various Python data structures including strings, lists, tuples, sets, and dictionaries. Some key points:
- Lists are ordered and changeable collections that can contain elements of different data types and allow duplicates. They use indexes to access elements.
- Tuples are ordered and unchangeable collections that can contain duplicates. They have fewer methods than lists.
- Sets are unordered and unindexed collections that do not allow duplicates. Items cannot be accessed by index and sets cannot be changed after creation, but new items can be added.
- Dictionaries store elements in key-value pairs and are ordered, changeable collections that do not allow duplicate keys. Items
The document discusses various Java I/O streams including input streams, output streams, byte streams, character streams, buffered streams, properties class, print stream, file locking, serialization and print writer class. It provides examples of reading and writing files using FileInputStream, FileOutputStream, FileReader, FileWriter and other stream classes. Methods of different stream classes are also explained along with their usage.
The document discusses various Java I/O stream classes:
- FileInputStream and FileOutputStream are used for reading and writing raw bytes to files.
- InputStreamReader and OutputStreamWriter bridge byte streams to character streams using a specified character encoding.
- FileReader and FileWriter are built on top of InputStreamReader and OutputStreamWriter respectively, and are used for reading and writing character streams from files.
Java I/O (Input and Output) is used to process the feedback and produce the outcome based on the feedback. Java uses the idea of circulation to make I/O function fast. The java.io package contains all the sessions required for feedback and outcome functions.
This document provides information about Python classes offered in Mumbai by Vibrant Technologies & Computers. It lists the address and contact details for Vibrant Technologies in Navi Mumbai. It then outlines 13 modules that will be covered in the Python classes, including topics like an overview of Python, running Python scripts, flow control, sequence data, defining functions, working with files, dictionaries and sets, errors and exception handling, using modules, regular expressions, the standard library, and an introduction to Python classes.
The document discusses techniques, challenges, and best practices for handling input/output (I/O) operations in Java. It covers the different types of I/O, how Java supports I/O through streams and readers/writers, issues with streams, alternatives like NIO that support non-blocking I/O using buffers and channels, and "Hiranya's Laws" with guidelines for proper I/O handling.
The document discusses files, streams, and different classes in Java for reading and writing files and streams. It explains that files exist on a local file system while streams represent a flow of characters. It also discusses the process of opening, reading from, and closing files, as well as using classes like FileReader, FileWriter, FileInputStream and FileOutputStream for reading/writing characters and bytes. It recommends using BufferedReader and BufferedWriter for more efficient reading of lines and writing of strings.
Streams are used for reading and writing data in Java. The Scanner class is used for reading text files by constructing a Scanner from a File object. The PrintStream class is used for writing to text files by specifying the file name and encoding. Exceptions may occur during I/O operations and should be handled using try-catch blocks to prevent program errors.
Introduction to Python for Data Science and Machine Learning ParrotAI
This document provides an introduction and overview of Python for data science and machine learning. It covers basics of Python including what Python is, its features, why it is useful for data science. It also discusses installing Python, using the IDLE and Jupyter Notebook environments. The document then covers Python basics like variables, data types, operators, decision making and loops. Finally, it discusses collection data types like lists, tuples and dictionaries and functions in Python.
Bt0067 c programming and data structures2Techglyphs
The document discusses various data structures and file input/output functions in C programming. It defines pointers and their advantages, describes the fread() function syntax, differentiates between linear and nonlinear data structures, discusses stack applications and operations, defines linked lists and their operations, and provides examples for each topic.
Python strings are sequences of characters that can be accessed and manipulated using various string methods. Strings can be declared using either single or double quotes and support escape characters. Strings are immutable and concatenation creates a new string. Common string methods include len() to get the length, lower()/upper() to case conversion, strip() to remove whitespace, and startswith()/endswith() to check substrings.
This document provides an overview of file handling in C++. It discusses different file types like text files and binary files. It introduces classes like ofstream, ifstream, and fstream for file stream operations like opening, closing, reading, and writing to files. It also covers error handling functions and manipulating file pointers using functions like seekg(), seekp(), tellg(), and tellp().
This document discusses file handling in C++. It begins by introducing files and streams as interfaces between programs and files for input/output. It then covers the various file stream classes like ifstream, ofstream and fstream and their functions. The document details text files versus binary files and various file opening modes. It provides examples of reading from and writing to both text and binary files using classes and functions like get(), put(), read(), write() and more. Finally, it briefly discusses the file pointer and its role in positioning within a file.
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.
Python is an interpreted, object-oriented programming language created by Guido van Rossum in 1990. It has a clear, readable syntax and is designed to be highly extensible. Python code is often much shorter than equivalent code in other languages like C++ or Java due to features like indentation-based blocks and dynamic typing. It is used for web development, scientific computing, and more.
The document discusses the reasons for Python's transition to Python 3 from Python 2. It argues that Python 3 is more consistent, separates concerns better, and reduces redundancy compared to Python 2. It also notes that Python 3 is now production-ready, and provides tools like 2to3 to help with the migration, though some refactoring may still be needed. Overall it makes the case that now is the time for the Python community to transition to Python 3.
The document provides an overview of file handling in C++. It discusses key concepts such as streams, file types (text and binary), opening and closing files, file modes, input/output operations, and file pointers. Functions for reading and writing to text files include put(), get(), and getline(). Binary files use write() and read() functions. File pointers can be manipulated using seekg(), seekp(), tellg(), and tellp() to move through files.
The document discusses Python programming language. Some key points:
- Python was invented by Guido Van Rossum and is a combination of various programming languages.
- It is a general purpose, high-level programming language that is interpreted, interactive, object-oriented and extensible.
- Python can be used for web applications, desktop applications, data analysis, artificial intelligence, and more. Popular companies that use Python include Google, YouTube, and NASA.
- Python code is portable and can run on various platforms. It has a simple syntax and is easy to learn.
This document is a Stanford Online Statement of Accomplishment certifying that Syed Farjad Zia Zaidi successfully completed with distinction an online Introduction to Databases course offered through OpenEdX. However, it does not confer any Stanford University course credit, grade, or degree and only verifies completion, not the student's identity.
Syed Farjad Zia Zaidi completed a 5 week online course on emerging trends and technologies in virtual K-12 classrooms through Coursera with distinction. The course was authorized by University of California, Irvine and Syed's identity and participation in the course was verified by Coursera.
Programming Mobile Applications for Android Handheld Systems 2014Syed Farjad Zia Zaidi
My Verified Certificate for Programming Mobile Applications for Android Handheld Systems 2014 offered by University of Maryland, College Park and offered through Coursera
The document discusses the difference between sight and vision. Sight is limited to what the eyes can see, while vision is unlimited by the imagination and looks to the future. True visionary leadership comes from pursuing a noble vision that inspires others to submit their energies and skills towards achieving that vision through the leader's character and influence. The source of all vision ultimately comes from God, who imparted purpose and reason for creation.
A brief overview of using HDF5 with Python and Andrew Collette's h5py module will be presented, including examples which show how and why Python can be used in the place of HDF5 tools. Extensions to the HDF5 API will be proposed which would further improve the utility of Python/h5py.
Understand programming through a pseudo-code example with PRPL Senior Engineer Renee Blunt. Accompanies video found here: https://youtu.be/RHrLGJP7AmI
Slides for Lecture 1 of the course: Introduction to Programming with Python offered at ICCBS.
It covers the following topics:
1.) Variables, Statements and Expressions
2.) Functions
3.) Flow Control
From a talk by Andrew Collette to the Boulder Earth and Space Science Informatics Group (BESSIG) on November 20, 2013.
This talk explores how researchers can use the scalable, self-describing HDF5 data format together with the Python programming language to improve the analysis pipeline, easily archive and share large datasets, and improve confidence in scientific results. The discussion will focus on real-world applications of HDF5 in experimental physics at two multimillion-dollar research facilities: the Large Plasma Device at UCLA, and the NASA-funded hypervelocity dust accelerator at CU Boulder. This event coincides with the launch of a new O’Reilly book, Python and HDF5: Unlocking Scientific Data.
As scientific datasets grow from gigabytes to terabytes and beyond, the use of standard formats for data storage and communication becomes critical. HDF5, the most recent version of the Hierarchical Data Format originally developed at the National Center for Supercomputing Applications (NCSA), has rapidly emerged as the mechanism of choice for storing and sharing large datasets. At the same time, many researchers who routinely deal with large numerical datasets have been drawn to the Python by its ease of use and rapid development capabilities.
Over the past several years, Python has emerged as a credible alternative to scientific analysis environments like IDL or MATLAB. In addition to stable core packages for handling numerical arrays, analysis, and plotting, the Python ecosystem provides a huge selection of more specialized software, reducing the amount of work necessary to write scientific code while also increasing the quality of results. Python’s excellent support for standard data formats allows scientists to interact seamlessly with colleagues using other platforms.
This document provides an introduction to using lists in Python. It defines what lists are in Python, how to create, access, update, and delete list elements, and some common list operations. It also provides examples of creating lists, accessing values at different indices, updating and deleting elements, and using basic operators like addition and multiplication. Finally, it proposes three exercises involving lists to practice these concepts.
This document describes UBI (Unsorted Block Images), a volume management system for flash devices in Linux. It provides static and dynamic volumes, wear-leveling across the entire flash device, bad block management, and read disturbance handling. The key components of UBI are the kernel API, EBA (Erase Block Association) subsystem, wear-leveling subsystem, and scanning subsystem. The wear-leveling subsystem manages PEBs (Physical Erase Blocks) using RB-trees and a queue to perform wear leveling and scrubbing.
This document provides an overview of using Python and the Geoprocessor object to automate geoprocessing tasks in ArcGIS. It discusses:
1) Converting multiple ASCII files to rasters, merging the rasters, reclassifying the data, and converting it to polygon and polyline shapefiles involves many manual steps.
2) Scripting can automate this repetitive process and save time compared to performing the tasks manually each time.
3) The Geoprocessor object in ArcGIS provides a single access point to the toolbox and its methods/properties can be used to programmatically run geoprocessing tools from Python scripts.
An introduction to the Python programming language and its numerical abilities will be presented. With this background, Andrew Collette's H5Py module--an HDF5-Python interface--will be explained highlighting the unique and useful similarities between Python data structures and HDF5.
La mecánica es la ciencia que estudia el movimiento y reposo de los cuerpos bajo la acción de fuerzas. Se divide en mecánica de cuerpos rígidos, deformables y fluidos. La mecánica de cuerpos rígidos se subdivide en estática, que estudia cuerpos en reposo, y dinámica, que estudia cuerpos en movimiento. La mecánica se remonta a Aristóteles y Newton y utiliza conceptos como fuerza, masa, espacio y tiempo.
This document discusses using Python with the H5py module to interact with HDF5 files. Some key points made include:
- H5py allows HDF5 files to be manipulated as if they were Python dictionaries, with dataset names as keys and arrays as values.
- NumPy provides array manipulation capabilities to work with the dataset values retrieved from HDF5 files.
- Examples demonstrate reading and writing HDF5 datasets, comparing contents of datasets between files, and recursively listing contents of an HDF5 file.
- Using Python with H5py is more concise than other languages like C/Fortran, reducing development time and potential for errors.
This tutorial is designed for anyone who needs to work with data stored in HDF5 files. The tutorial will cover functionality and useful features of the HDF5 utilities h5dump, h5diff, h5repack, h5stat, h5copy, h5check and h5repart. We will also introduce a prototype of the new h52jpeg conversion tool and recently released h5perf_serial tool used for performance studies. We will briefly introduce HDFView. Details of the HDFView and HDF-Java will be discussed in a separate tutorial.
Here are the answers to the quiz questions:
1. def read_file(file_name):
lines = []
with open(file_name, 'r') as f:
for line in f:
lines.append(line)
return lines
2. def input_list():
n = int(input("Enter number of elements : "))
list1 = []
for i in range(0, n):
ele = float(input())
list1.append(ele)
return list1
def output_list(list1):
for i in list1:
print(i)
3. def display_file(filename):
with open(filename
File handling in Python allows programs to work with files stored on disk by performing operations like opening, reading, writing, and modifying files. The open() function is used to open a file and return a file object, which can then be used to read or write to the file. There are different file access modes like 'r' for read-only, 'w' for write-only, and 'a' for append. Common methods for reading files include read() to read characters, readline() to read one line, and readlines() to read all lines into a list. Files can be written to using write() and writelines() methods and deleted using functions in the os, shutil, or pathlib modules.
This document discusses files and exception handling in Python. It begins by defining files and describing different types of files like data, text, and program files. It then covers topics like sequential and random file access, opening and closing files, reading and writing to files, and using file dialogs. The document also discusses retrieving data from the web using functions like urlopen. Finally, it defines exceptions and different types of errors like syntax, runtime, and logical errors. It explains how to handle exceptions in Python using try/except blocks and predefined or user-defined exceptions.
This document discusses file handling in Python. It begins by explaining that files allow permanent storage of data, unlike standard input/output which is volatile. It then covers opening files in different modes, reading files line-by-line or as a whole, and modifying the file pointer position using seek(). Key points include opening files returns a file object, reading can be done line-by-line with for loops or using read()/readlines(), and seek() allows changing the file pointer location.
This document discusses file handling in Python. It begins by explaining that files allow permanent storage of data, unlike standard input/output which is volatile. It then covers opening files in different modes, reading and writing file contents using methods like read(), readline(), readlines(), seeking to different positions, and closing files. Examples are provided to illustrate reading temperature data from one file and writing converted values to another file. The document also discusses creating, deleting and renaming files and folders using OS module functions.
The document discusses file handling in C++. It covers:
1) Using input/output files by opening, reading from, and writing to files. Files are interpreted as sequences of bytes and can be text or binary.
2) General file I/O steps which include declaring a file name variable, associating it with a disk file, opening the file, using it, and closing it.
3) Predefined console streams like cin, cout, cerr, and clog which are used for standard input, output, error output, and buffered error output respectively.
The document discusses file handling in C++. It covers:
1) Using input/output files by opening, reading from, and writing to files using streams. Streams act as an interface between files and programs.
2) General file I/O steps which include declaring a file name variable, associating it with a disk file, opening the file, using it, and closing it.
3) Predefined console streams like cin, cout, cerr, and clog which are opened automatically and connected to the keyboard, display, and error output respectively.
The document discusses input/output files in Java. It covers the key classes used for reading and writing files in Java, including FileInputStream, FileOutputStream, FileReader, and FileWriter. It also discusses byte streams versus character streams, and provides examples of reading and writing to files in Java using these classes. Standard input/output streams like System.in and System.out are also covered.
the slide about Exception handling in java and the file and io handling in java .inbuilt java packages in for java exception.for beginner in programming
This document discusses file handling in Python. File handling allows Python programs to read from and write data to disk files for permanent storage. The open() function is used to open a file and return a file object, which has methods like read(), write(), close() to interact with the file. Files can be opened in different modes like read, write, append. The read() method reads from the file while write() writes to it. Files must be closed using close() after processing to flush buffers and close the file properly.
This file contains the first steps any beginner can take as he/she starts a journey into the rich and beautiful world of Python programming. From basics such as variables to data types and recursions, this document touches briefly on these concepts. It is not, by any means, an exhaustive guide to learn Python, but it serves as a good starting point and motivation.
The document discusses Python's built-in functions and methods for reading, writing, and manipulating files and directories. It explains how to open and close files, read and write file contents, check file positions, rename and delete files, create and remove directories, and get the current working directory using functions like open(), close(), read(), write(), tell(), seek(), os.rename(), os.remove(), os.mkdir(), os.chdir(), and os.getcwd(). It also covers the different modes for opening files and lists attributes of file objects.
The document discusses file handling in Python. It explains that the open() function is key for working with files in Python and takes a filename and mode as parameters. It describes different modes for opening files, including 'r' for reading, 'a' for appending, and 'w' for writing. The document also covers getting file attributes after opening and the close() method for closing files.
My Statement of Accomplishment for Introduction to Systematic Program Design - Part 1 by The University of British Columbia and offered through Coursera.
This document is a Statement of Accomplishment from Coursera.org dated November 13, 2013 for Syed Farjad Zia Zaidi who completed the introductory course "Beginning Game Programming with C#" taught by Tim "Dr. T" Chamillard, an Associate Professor of Computer Science and Program Director for the Bachelor of Innovation in Game Design and Development at the University of Colorado Colorado Springs. The course teaches beginning programming concepts in the context of game development.
This document certifies that Syed Farjad Zia Zaidi successfully completed the free online course Computer Science 101 provided by Stanford University. It notes that the online course is not equivalent to an on-campus course and does not confer any Stanford University credits, grades, or degrees. The statement also cautions that it does not verify the identity of the student.
This document is a software requirements specification for a custom installer called "Software Pack Solution 14" created by Syed Farjad Zia Zaidi. The installer will allow users to install and uninstall common software packages with a single click, saving technicians time. It will display brief system information and install selected software silently using default settings. The document outlines functional requirements for installation and uninstallation, as well as performance goals, system requirements, and provides data flow diagrams to illustrate the installation process.
This document proposes a custom installer software project. The software will automatically install common software applications like web browsers, anti-virus software, and media players with default settings to save technicians and home users time during the installation process. It will have a simple user interface and install selections quickly while allowing the user to do other tasks. The project will be developed using C# and .NET frameworks in Visual Studio. It aims to benefit computer repair shops and technicians by reducing the time spent installing software on computers as well as help home users avoid lengthy manual installations.
This document provides instructions for creating a database diagram in Microsoft SQL Server Management Studio. It outlines opening an existing project, expanding the database tree, right clicking on "Database Diagrams" and selecting "New Database Diagram" to start a new diagram. From there, it describes selecting tables to add to the diagram, copying the diagram to the clipboard, and pasting into paint to save it.
Slides for Lecture 3 of the course: Introduction to Programming with Python offered at ICCBS.
It covers the following topics:
Strings useful string operations.
This document presents the requirements for a gym management software system called MindMuscle-Xtreme. It provides an overview of the purpose and scope, which is to design a user-friendly system to efficiently manage all aspects of running a gym. The document describes high-level requirements including user interfaces, database and system requirements. It also provides details on the proposed system design, including entity relationship diagrams, data flow diagrams and screenshots of example interfaces.
How to connect database file to a 3-Tier Architecture Application and obtain ...Syed Farjad Zia Zaidi
This is a tutorial for connecting the database file to a 3 Layer Architecture Project and obtain the connection string on the run time so that you can deploy your project
This document outlines the key administrative functions of a gym owner including managing member, employee, and instructor accounts and data; setting and collecting fees from members; paying salaries to employees and instructors; selling supplements and medicines; overseeing training programs; and handling finances like expenses, salaries, and fees. The owner is responsible for the overall management and operations of the gym.
This document appears to be a menu or navigation system for a gym management software. It includes options for tracking members, inventory of supplements and medicine, instructors, gym equipment and weights, employee log-in, and tracking miscellaneous expenses. The document provides a high-level overview of the key functional areas and data that can be managed through the gym management software system.
This document outlines the roles and responsibilities within a gym or fitness facility. It shows that the owner/admin manages the facility, sells supplements and medicines, and trains employees/instructors. Employees/instructors then train members, who buy supplements, pay fees, and use the machines and weights in the facility.
Virtual education, and Future of Virtual education in Pakistan.Syed Farjad Zia Zaidi
Virtual education has evolved significantly from early distance learning methods using print materials and video/audio recordings. Today, virtual education commonly refers to online learning delivered via the internet with teachers and students separated geographically. Major online learning platforms like Coursera, Codecademy, edX, and Udacity provide free university-level courses. While virtual education increases access to education, future research is still needed to better support online students and improve teaching methods using new technologies. Overall, virtual education is growing and will continue to be important for expanding educational opportunities worldwide.
Key AI Technologies Used by Indian Artificial Intelligence CompaniesMypcot Infotech
Indian tech firms are rapidly adopting advanced tools like machine learning, natural language processing, and computer vision to drive innovation. These key AI technologies enable smarter automation, data analysis, and decision-making. Leading developments are shaping the future of digital transformation among top artificial intelligence companies in India.
For more information please visit here https://www.mypcot.com/artificial-intelligence
Top 5 Task Management Software to Boost Productivity in 2025Orangescrum
In this blog, you’ll find a curated list of five powerful task management tools to watch in 2025. Each one is designed to help teams stay organized, improve collaboration, and consistently hit deadlines. We’ve included real-world use cases, key features, and data-driven insights to help you choose what fits your team best.
How Insurance Policy Administration Streamlines Policy Lifecycle for Agile Op...Insurance Tech Services
A modern Policy Administration System streamlines workflows and integrates with core systems to boost speed, accuracy, and customer satisfaction across the policy lifecycle. Visit https://www.damcogroup.com/insurance/policy-administration-systems for more details!
Build Smarter, Deliver Faster with Choreo - An AI Native Internal Developer P...WSO2
Enterprises must deliver intelligent, cloud native applications quickly—without compromising governance or scalability. This session explores how an internal developer platform increases productivity via AI for code and accelerates AI-native app delivery via code for AI. Learn practical techniques for embedding AI in the software lifecycle, automating governance with AI agents, and applying a cell-based architecture for modularity and scalability. Real-world examples and proven patterns will illustrate how to simplify delivery, enhance developer productivity, and drive measurable outcomes.
Learn more: https://wso2.com/choreo
In a tight labor market and tighter economy, PMOs and resource managers must ensure that every team member is focused on the highest-value work. This session explores how AI reshapes resource planning and empowers organizations to forecast capacity, prevent burnout, and balance workloads more effectively, even with shrinking teams.
Providing Better Biodiversity Through Better DataSafe Software
This session explores how FME is transforming data workflows at Ireland’s National Biodiversity Data Centre (NBDC) by eliminating manual data manipulation, incorporating machine learning, and enhancing overall efficiency. Attendees will gain insight into how NBDC is using FME to document and understand internal processes, make decision-making fully transparent, and shine a light on underlying code to improve clarity and reduce silent failures.
The presentation will also outline NBDC’s future plans for FME, including empowering staff to access and query data independently, without relying on external consultants. It will also showcase ambitions to connect to new data sources, unlock the full potential of its valuable datasets, create living atlases, and place its valuable data directly into the hands of decision-makers across Ireland—ensuring that biodiversity is not only protected but actively enhanced.
Integrating Survey123 and R&H Data Using FMESafe Software
West Virginia Department of Transportation (WVDOT) actively engages in several field data collection initiatives using Collector and Survey 123. A critical component for effective asset management and enhanced analytical capabilities is the integration of Geographic Information System (GIS) data with Linear Referencing System (LRS) data. Currently, RouteID and Measures are not captured in Survey 123. However, we can bridge this gap through FME Flow automation. When a survey is submitted through Survey 123 for ArcGIS Portal (10.8.1), it triggers FME Flow automation. This process uses a customized workbench that interacts with a modified version of Esri's Geometry to Measure API. The result is a JSON response that includes RouteID and Measures, which are then applied to the feature service record.
In today's world, artificial intelligence (AI) is transforming the way we learn.
This talk will explore how we can use AI tools to enhance our learning experiences, by looking at some (recent) research that has been done on the matter.
But as we embrace these new technologies, we must also ask ourselves:
Are we becoming less capable of thinking for ourselves?
Do these tools make us smarter, or do they risk dulling our critical thinking skills?
This talk will encourage us to think critically about the role of AI in our education. Together, we will discover how to use AI to support our learning journey while still developing our ability to think critically.
Bonk coin airdrop_ Everything You Need to Know.pdfHerond Labs
The Bonk airdrop, one of the largest in Solana’s history, distributed 50% of its total supply to community members, significantly boosting its popularity and Solana’s network activity. Below is everything you need to know about the Bonk coin airdrop, including its history, eligibility, how to claim tokens, risks, and current status.
https://blog.herond.org/bonk-coin-airdrop/
FME as an Orchestration Tool - Peak of Data & AI 2025Safe Software
Processing huge amounts of data through FME can have performance consequences, but as an orchestration tool, FME is brilliant! We'll take a look at the principles of data gravity, best practices, pros, cons, tips and tricks. And of course all spiced up with relevant examples!
Meet You in the Middle: 1000x Performance for Parquet Queries on PB-Scale Dat...Alluxio, Inc.
Alluxio Webinar
June 10, 2025
For more Alluxio Events: https://www.alluxio.io/events/
Speaker:
David Zhu (Engineering Manager @ Alluxio)
Storing data as Parquet files on cloud object storage, such as AWS S3, has become prevalent not only for large-scale data lakes but also as lightweight feature stores for training and inference, or as document stores for Retrieval-Augmented Generation (RAG). However, querying petabyte-to-exabyte-scale data lakes directly from S3 remains notoriously slow, with latencies typically ranging from hundreds of milliseconds to several seconds.
In this webinar, David Zhu, Software Engineering Manager at Alluxio, will present the results of a joint collaboration between Alluxio and a leading SaaS and data infrastructure enterprise that explored leveraging Alluxio as a high-performance caching and acceleration layer atop AWS S3 for ultra-fast querying of Parquet files at PB scale.
David will share:
- How Alluxio delivers sub-millisecond Time-to-First-Byte (TTFB) for Parquet queries, comparable to S3 Express One Zone, without requiring specialized hardware, data format changes, or data migration from your existing data lake.
- The architecture that enables Alluxio’s throughput to scale linearly with cluster size, achieving one million queries per second on a modest 50-node deployment, surpassing S3 Express single-account throughput by 50x without latency degradation.
- Specifics on how Alluxio offloads partial Parquet read operations and reduces overhead, enabling direct, ultra-low-latency point queries in hundreds of microseconds and achieving a 1,000x performance gain over traditional S3 querying methods.
Automating Map Production With FME and PythonSafe Software
People still love a good paper map, but every time a request lands on a GIS team’s desk, it takes time to create that perfect, individual map—even when you're ready and have projects prepped. Then come the inevitable changes and iterations that add even more time to the process. This presentation explores a solution for automating map production using FME and Python. FME handles the setup of variables, leveraging GIS reference layers and parameters to manage details like map orientation, label sizes, and layout elements. Python takes over to export PDF maps for each location and template size, uploading them monthly to ArcGIS Online. The result? Fresh, regularly updated maps, ready for anyone to grab anytime—saving you time, effort, and endless revisions while keeping users happy with up-to-date, accessible maps.
Join the Denver Marketo User Group, Captello and Integrate as we dive into the best practices, tools, and strategies for maintaining robust, high-performing databases. From managing vendors and automating orchestrations to enriching data for better insights, this session will unpack the key elements that keep your data ecosystem running smoothly—and smartly.
We will hear from Steve Armenti, Twelfth, and Aaron Karpaty, Captello, and Frannie Danzinger, Integrate.
Code and No-Code Journeys: The Coverage OverlookApplitools
Explore practical ways to expand visual and functional UI coverage without deep coding or heavy maintenance in this session. Session recording and more info at applitools.com
NTRODUCTION TO SOFTWARE TESTING
• Definition:
• Software testing is the process of evaluating and
verifying that a software application or system meets
specified requirements and functions correctly.
• Purpose:
• Identify defects and bugs in the software.
• Ensure the software meets quality standards.
• Validate that the software performs as intended in
various scenarios.
• Importance:
• Reduces risks associated with software failures.
• Improves user satisfaction and trust in the product.
• Enhances the overall reliability and performance of
the software
Invited Talk at RAISE 2025: Requirements engineering for AI-powered SoftwarE Workshop co-located with ICSE, the IEEE/ACM International Conference on Software Engineering.
Abstract: Foundation Models (FMs) have shown remarkable capabilities in various natural language tasks. However, their ability to accurately capture stakeholder requirements remains a significant challenge for using FMs for software development. This paper introduces a novel approach that leverages an FM-powered multi-agent system called AlignMind to address this issue. By having a cognitive architecture that enhances FMs with Theory-of-Mind capabilities, our approach considers the mental states and perspectives of software makers. This allows our solution to iteratively clarify the beliefs, desires, and intentions of stakeholders, translating these into a set of refined requirements and a corresponding actionable natural language workflow in the often-overlooked requirements refinement phase of software engineering, which is crucial after initial elicitation. Through a multifaceted evaluation covering 150 diverse use cases, we demonstrate that our approach can accurately capture the intents and requirements of stakeholders, articulating them as both specifications and a step-by-step plan of action. Our findings suggest that the potential for significant improvements in the software development process justifies these investments. Our work lays the groundwork for future innovation in building intent-first development environments, where software makers can seamlessly collaborate with AIs to create software that truly meets their needs.
4. Python Modules
Definition:
A module is a file containing Python definitions and
statements. The file name is the module name with the
suffix .py appended.
5. Import Statement
You can use any Python source file as a module by executing an import
statement in some other Python source file. The import has the following
syntax:
import module1[, module2[,... moduleN]
6. Python Files I/O
Until now, you have been reading and writing to the standard input and
output. Now, we will see how to play with actual data files.
Python provides basic functions and methods necessary to manipulate files
by default. You can do your most of the file manipulation using a file object.
7. The open() Function
Before you can read or write a file, you have to open it using Python's built-in
open() function. This function creates a file object, which would be utilized
to call other support methods associated with it.
Syntax:
file object = open(file_name [, access_mode][, buffering])
8. File attributes
Attribute Description
file.closed Returns true if file is closed, false
otherwise.
file.mode Returns access mode with which file was
opened.
file.name Returns name of the file.
file.softspace Returns false if space explicitly required
with print, true otherwise.
9. The close() Method:
The close() method closes the file, and then no more operations on that file
object can be performed.
10. The read() & write() method
read() write()
The read() method reads a string from an
open file.
The write() method writes any string to an
open file.
fileObject.read([count]); fileObject.write(string);
11. Exceptions
In general, when a Python script encounters a situation that it can't cope
with, it raises an exception. An exception is a Python object that represents
an error.
When a Python script raises an exception, it must either handle the
exception immediately otherwise it would terminate and come out.
12. Handling exception
If you have some suspicious code that may raise an exception, you can
defend your program by placing the suspicious code in a try: block. After
the try: block, include an except: statement, followed by a block of code
which handles the problem as elegantly as possible.
13. Syntax for handling exceptions
try:
You do your operations here;
......................
except ExceptionI:
If there is ExceptionI, then execute this block.
except ExceptionII:
If there is ExceptionII, then execute this block.
......................
else:
If there is no exception then execute this block.
14. Assignment
Link to Facebook Group:
https://www.facebook.com/groups/introtopython.iccbs/