presentation in python programming

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Create Presentations Using RISE in Jupyter Notebook

RISE is an extension of Jupyter Notebook designed to revolutionize the way you create presentations. By seamlessly integrating with Jupyter Notebook, RISE allows you to transform your static code and data into dynamic, interactive presentations. In this guide, we’ll explore how to install RISE, set up presentation slides, view and present your slides, and delve into the additional features of using the RISE chalkboard for enhanced interactivity.

Installation of RISE

Let’s start with the basics. Installing RISE is the first step towards creating engaging presentations in Jupyter Notebook . To install RISE, follow these simple steps:

Open your terminal, use the following command, and press shift+enter to execute the command:

python -m pip install RISE

Steps to Create Presentations using RISE in Jupyter

Now, let’s move on to setting up your presentation slides. You will find the RISE icon on the top of the Jupyter Notebook page.

Setting Up Presentation Slides

Setting up presentation slides involves configuring the slide types and layout for your presentation.

• Open Jupyter Notebook.
• Click on the ‘View’ menu at the top of the notebook.
• Select ‘Cell Toolbar’ from the dropdown menu.
• Choose ‘Slideshow’ from the options available.

Now that you’ve configured your slide types and layout, it’s time to prepare your slides.

Preparing Slides

Creating compelling content for your slides is essential to captivate your audience. Follow these steps to prepare your slides:

• Create new cells in the notebook for each slide’s content.
• Assign different slide types to cells based on their purpose, such as Slide, Subslide, Fragment, Skip, or Notes.

Determine the slide types you’ll use:

• Slide: The content on this slide is self-explanatory. A new slide will start from this cell.
• Subslide: Type of slide that will appear under the current slide
• Fragment: If you want to control the flow of information on your slide, divide it into fragments.
• Skip: skip this cell, it won’t appear on the slide.
• Notes: This cell works as notes.
• “ — ”: Inherit behavior from the cell above.

Example: Here’s an example of slide preparation using different slide types:

Viewing Presentation

Before presenting to your audience, it’s crucial to preview how your presentation will appear. Here’s how you can do it:

• Run the notebook by clicking the ‘Run’ button or pressing Shift + Enter.
• Navigate through the slides using the space bar, arrow keys, or other navigation controls provided by RISE.

Now that you’ve previewed your presentation, Follow these steps to start presenting:

• Utilize the presentation mode by pressing the appropriate shortcut.
• Navigate through your slides seamlessly using the space bar, arrow keys, or other navigation controls.

How to Use RISE Chalkboard

Now, let’s explore the additional feature of RISE: the chalkboard. The chalkboard feature allows you to annotate your slides in real time, adding a layer of interactivity to your presentation. Here’s how you can use the RISE chalkboard:

• Enable the chalkboard mode by clicking on the chalkboard icon in the presentation mode.
• Use your mouse or touchpad to draw or write on the slides.
• Erase or clear annotations as needed to maintain clarity.

With the RISE chalkboard, you can engage your audience and make your presentations more interactive and dynamic.

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Anders Eriksson on April 6, 2020

Hi! Thank you it was well explained, but I miss discussions and examples on the version of Python itself. The actual Python version or “minimum required version” is not generated in the requirements.txt What is happening if for instance I have Python 3.4 and the packages in a requirements.txt is requiring Python 3.6, will pip update the Python version? Thanks, Anders

Dan Bader RP Team on April 6, 2020

Thanks Anders—requirements files are only for pinning packages. But there are tools that make working with specific versions of Python easier. Check out these tutorials here on Real Python:

• realpython.com/intro-to-pyenv/
• realpython.com/python-versions-docker/

Doug Ouverson on Oct. 26, 2020

Great course Dan!

Dipanwita Mallick on Feb. 12, 2021

Thank you Dan!!! Very informative !

ignaciosoteras on April 1, 2022

Thanks Dan! Really nice and direct course.

Become a Member to join the conversation.

Lecture 4. Intro to Python

Monday April 4

Intro to Python

• Video on canvas

📦 Code and Slides

• 4-IntroPython.pdf
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How To Create PowerPoint Presentations With Python From Command Line

Automating the process of creating simple powerpoint slides with python-pptx library..

This Step-by-Step guide demonstrates how to use Python and the python-pptx library to create PowerPoint presentations from command line.

The steps and code provided in this guide are not specific to any particular operating system and should work on all major platforms, including Linux, macOS, and Windows.

Table of Contents

What is Python-pptx, by the way?

The python-pptx library is an open-source Python library that allows you to create, read, and update PowerPoint (.pptx) files.

The python-pptx library is particularly well-suited for generating PowerPoint presentations dynamically from various data sources as listed below:

• Database Queries : By connecting to a database and executing queries, you can fetch data and use the python-pptx library to generate PowerPoint slides with visualizations, charts, or tables based on the queried data. This approach can be useful for creating data-driven presentations or reports.
• Analytics Outputs : If you have analytics software or scripts that generate structured data or insights, you can use the python-pptx library to transform that data into visually appealing PowerPoint slides, complete with charts, graphs, and other visual elements.
• JSON Payloads : With the increasing prevalence of APIs and web services, it's common to receive data in JSON format. The python-pptx library can be used to parse JSON payloads and dynamically create PowerPoint slides based on the structured data contained within them.
• HTTP Requests : By integrating the python-pptx library into a web application or API, you can generate PowerPoint presentations on-the-fly in response to HTTP requests. This allows for the creation of dynamic, customized presentations tailored to specific user inputs or data sources.

The python-pptx library runs on any Python-capable platform, including Linux, macOS, and Windows.

Another significant benefit of the python-pptx library is that it does not require the PowerPoint application to be installed on the system where the code is running.

Now let us discuss how to automate the process of creating simple PowerPoint presentations using python-pptx library .

Create PowerPoint Presentations using Python

The process is divided into three straightforward steps: installing the required software, creating the Python script, and running the script to produce the presentation file.

Step 1 - Installing Prerequisites

Before proceeding, ensure that you have Python installed on your system.

Python is pre-installed in most Linux operating systems. If not, you can install it using the following command on Debian-based systems:

On Red-hat based systems, run:

Next, install the python-pptx library, which provides the necessary functionality to create PowerPoint presentations programmatically. You can install it using pip , Python's package installer:

Step 2 - Creating the Python Script

Create a new Python script (e.g., create_ppt.py ):

and copy the following code into it:

Edit the script and update the title, content of the slides and the output file as you wish. Once done, save the file and close it.

Explanation of the Script:

This script creates a new PowerPoint presentation and adds four slides: a title slide , and three content slides covering the importance of Linux security , common security practices , and security tools .

Title Slide :

The script initializes a new Presentation object and adds a title slide with the main title "Linux Security Automation" and the subtitle "An overview of securing Linux systems".

Content Slides :

The script then adds three content slides, each with a title and bullet points covering different aspects of Linux security:

• Slide 1: Importance of Linux Security (e.g., protecting against unauthorized access, ensuring data integrity, maintaining system availability, and protecting sensitive information).
• Slide 2: Common Security Practices (e.g., regularly updating and patching the system, using strong passwords, enabling firewalls, using antivirus software, and monitoring system logs).
• Slide 3: Security Tools (e.g., SELinux/AppArmor for Mandatory Access Control, ClamAV for antivirus protection, Fail2Ban for preventing brute force attacks, and UFW for an uncomplicated firewall).

Saving the Presentation :

Finally, the script saves the PowerPoint presentation as Linux_Security_Presentation.pptx in the current directory.

Step 3 - Generate PowerPoint Slides

Navigate to the directory containing the script in your terminal and run the following command:

This command will execute the script, and generate a new PowerPoint file named " Linux_Security_Presentation.pptx " in the same directory.

Step 4 - Run or Customize PPTs

As I mentioned, this script will only create simple PowerPoint presentations . They are plain with white background.

Here is a sample PPT slide that I created using this script:

You can open it with any PowerPoint application (For example LibreOffice Impress or MS PowerPoint ) and customize the look of the slides as per your own liking.

Here's how the slide looks like after I changed its background and added our blog's logo on the top of the slide:

This script serves as a basic example, and you can further enhance it by adding more slides, customizing the content, or incorporating additional features, such as adding images, charts, or formatting options.

You get the idea. Use our script as a starting point. Customize it and be creative. You can make the slides more elegant and professional.

• https://pypi.org/project/python-pptx/

Senthilkumar Palani (aka SK) is the Founder and Editor in chief of OSTechNix. He is a Linux/Unix enthusiast and FOSS supporter. He lives in Tamilnadu, India.

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Intro to Python Course

jalexander1/Python_Course_Slideware

Folders and files.

Repository files navigation

#Python Course

Version: 1.2 Original Author: Charles Severance

Derivative work by: John Alexander

This is a content (courseware/slideware) for a 32-40 hour Python programming course.

These course slides were originally written by Charles Severance, a professor at the University of Michigan.

This fork (derivative work) of this Python courseware was done with the following goals in mind:

Provide the highest quality Python courseware possible to help instructors teach Python

Insure that the slides are properly formatted for use with Microsoft PowerPoint and OpenOffice Impress

Insure that the slides work seamlessly with open source presentation software (i.e. OpenOffice Impress)

Make improvements in the original courseware to include:

• Added several slides on the string formatting operator - "%"
• Added several slides to teach "how to import Python modules"
• Added several slides on the "math" module
• Added several slides on the range() function.
• Heavy review of the courseware code and samples to make sure it is as error free as possible

Provide maximum flexibility for the improvement of this courseware

##List of Files

• PythonCourse_01_Intro.ppt
• PythonCourse_02_Expressions.ppt
• PythonCourse_03_Conditional.ppt
• PythonCourse_04_Functions.ppt
• PythonCourse_05_Iterations.ppt
• PythonCourse_06_Strings.ppt
• PythonCourse_07_Files.ppt
• PythonCourse_08_Lists.ppt
• PythonCourse_09_Dictionaries.ppt
• PythonCourse_10_tuples.ppt
• PythonCourse_17_Pickle_and_anydbm.ppt
• README.md -- This ReadMe file.
• LICENSE.txt

##Requirements and Dependencies

• Any software capable of reading and displaying Microsoft PPT files
• Note: This courseware has been specifically used and tested with: Microsoft PowerPoint 2013, PowerPoint 2016, and OpenOffice Impress 3.4.1

##Installation

• Copy all of the PPT files to a directory on your system and use them with any software capable of reading and displaying MS PPT files

##Acknowledgements The project maintainer, John Alexander wishes to thank Charles Severance for authoring the original slides and placing them under the Creative Commons Attribition 3.0 license ("BY" variant). All of my additions and modifications are also under the Creative Commons Attribution 3.0 license ("BY" variant) and I welcome feedback and suggestions for further improvement of this courseware.

I also encourage anyone to fork these slides if they wish, as long as the slides and their changes are also put under the Creative Commons License . The goal is to provide the best possible materials to teach computer programming, with Python as an excellent language for students to learn.

No known issues. If someone would like to further test and QA these slides please contact me. I'd especially be interested in assistance on testing/using these slides on an Apple Mac computer, and on Linux systems (any distributions).

John Alexander - - [email protected]

##Resources

The original set of slides is located at www.pythonlearn.com

The following two open-source books are highly recommended for use with this Python courseware:

"Python for Informatics : Exploring Information", by Charles Severance www.pythonlearn.com

"Think Python : How to Think Like a Computer Scientist", by Allen Downey. Available at: http://www.openbookproject.net/thinkcs/python/english2e/

Basics of Python Programming

Jan 02, 2020

2.18k likes | 3.12k Views

An overview to the basics of python programming language. Basics of Python Programming. Origin of Python. Python is a general-purpose interpreted, interactive, object-oriented, and high-level programming language. It was created by Guido van Rossum during 1985- 1990.

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• membership operators
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• pep python enhancement proposals

Presentation Transcript

An overview to the basics of python programming language Basics of Python Programming

Origin of Python • Python is a general-purpose interpreted, interactive, object-oriented, and high-level programming language. It was created by Guido van Rossum during 1985- 1990. • Python is designed to be highly readable. It uses English keywords frequently where as other languages use punctuation

Basic features • Easy-to-learn: Python has few keywords, simple structure, and a clearly defined syntax • Easy-to-read: Python code is more clearly defined and visible to the eyes • A broad standard library: Python's bulk of the library is very portable and cross-platform compatible on UNIX, Windows, and Macintosh • Interactive Mode: Python has support for an interactive mode

Basic features: Continued • Easy-to-maintain: Python's source code is fairly easy-to-maintain • Portable • Extendable: You can add low-level modules to the Python interpreter • Databases: Python provides interfaces to all major commercial databases • Scalable: Python provides a better structure and support for large programs than shell scripting

Basic features: Continued • IT supports functional and structured programming methods as well as OOP • It can be used as a scripting language or can be compiled to byte-code for building large applications • It provides very high-level dynamic data types and supports dynamic type checking • IT supports automatic garbage collection • It can be easily integrated with C, C++, COM, ActiveX, CORBA, and Java

PEP – Python Enhancement Proposals • 8 Style Guide for Python Code • 20 The Zen of Python • 257 Docstring Conventions • More than thousand proposals • Helps in imporving and evolving the language

Different modes of python programming • Interactive Mode Programming • Script Mode Programming

Python Identifiers • A Python identifier is a name used to identify a variable, function, class, module, or other object. An identifier starts with a letter A to Z or a to z, or an underscore (_) followed by zero or more letters, underscores and digits (0 to 9) • Python does not allow punctuation characters such as @, $, and % within identifiers. • Python is a case sensitive programming language

Naming conventions for python identifiers • Class names start with an uppercase letter. All other identifiers start with a lowercase letter. • Starting an identifier with a single leading underscore indicates that the identifier is private. • Starting an identifier with two leading underscores indicates a strongly private identifier. • If the identifier also ends with two trailing underscores, the identifier is a language-defined special name.

Python Keywords • These are reserved words and you cannot use them as constant or variable or any other identifier names • All the Python keywords contain lowercase letters only. • E.G : and, assert, try, for, if, lambda etc

All the python Keywords And, exec, Not Assert, finally, or Break, for, pass Class, from, print Continue, global, raise Def, if, return Del, import, try Elif, in, while Else, is, with Except, lambda, yield

Lines and Indentation • Python provides no braces to indicate blocks of code for class and function definitions or flow control • Blocks of code are denoted by line indentation, which is rigidly enforced. • The number of spaces in the indentation is variable, but all statements within the block must be indented the same amount • in Python all the continuous lines indented with same number of spaces would form a block

Quotation/Comments in Python • Python accepts single ('), double (") and triple (''' or """) quotes to denote string literals, as long as the same type of quote starts and ends the string • The triple quotes are used to span the string across multiple lines • word = 'word' • sentence = "This is a sentence." • paragraph = """This is a paragraph. It is made up of multiple lines and sentences.""" • Comments start with a #

Variable types • Variables are nothing but reserved memory locations to store values. • This means when you create a variable, you reserve some space in memory. • Based on the data type of a variable, the interpreter allocates memory and decides what can be stored in the reserved memory • Therefore, by assigning different data types to variables, you can store integers, decimals, or characters in these variables

Assigning Values to Variables • Python variables do not need explicit declaration to reserve memory space • The declaration happens automatically when you assign a value to a variable. • The equal sign (=) is used to assign values to variables. • The operand to the left of the = operator is the name of the variable and the operand to the right of the = operator is the value stored in the variable • counter = 100 • miles = 1000.0 • name = "antony"

Multiple Assignment • Python allows you to assign a single value to several variables simultaneously • a = b = c = 1 • Here, an integer object is created with the value 1, and all three variables are assigned to the same memory location. • You can also assign multiple objects to multiple variables. • a, b, c = 1, 2, "antony"

Standard Data Types Python has five standard data types • Numbers • String • List • Tuple • Dictionary

Python Numbers • Number data types store numeric values • Number objects are created when you assign a value to them Python supports four different numerical types • int (signed integers) • long (long integers, they can also be represented in octal and hexadecimal) • float (floating point real values) • complex (complex numbers)

Python Strings • Strings in Python are identified as a contiguous set of characters represented in the quotation marks • Python allows for either pairs of single or double quotes • Subsets • of strings can be taken using the slice operator ([ ] and [:] ) with indexes starting at 0 in the beginning of the string and working their way from -1 at the end • The plus (+) sign is the string concatenation operator and the asterisk (*) is the repetition operator.

Python Lists • Lists are the most versatile of Python's compound data types • A list contains items separated by commas and enclosed within square brackets ([]) • To some extent, lists are similar to arrays in C. One difference between them is that all the items belonging to a list can be of different data type. • The values stored in a list can be accessed using the slice operator ([ ] and [:]) with indexes starting at 0 in the beginning of the list and working their way to end -1 • The plus (+) sign is the list concatenation operator, and the asterisk (*) is the repetition operator.

Python Tuples • A tuple is another sequence data type that is similar to the list • A tuple consists of a number of values separated by commas. Unlike lists, however, tuples are enclosed within parentheses • The main differences between lists and tuples are: Lists are enclosed in brackets ( [] ) and their elements and size can be changed, while tuples are enclosed in parentheses ( ( ) ) and cannot be updated. Tuples can be thought of as readonly lists.

Python Dictionary • Python's dictionaries are kind of hash table type • They work like associative arrays or hashes and consist of key-value pairs. • A dictionary key can be almost any Python type, but are usually numbers or strings. Values, on the other hand, can be any arbitrary Python object. • Dictionaries are enclosed by curly braces ({ }) and values can be assigned and accessed using square braces ([])

BASIC OPERATORS Arithmetic Operators Comparison (Relational) Operators Assignment Operators Logical Operators Bitwise Operators Membership Operators Identity Operators

Python Arithmetic Operator + Addition a + b = 30 - Subtraction a – b = -10 * Multiplication a * b = 200 / Division b / a = 2 % Modulus b % a = 0 ** Exponent a**b =10 to the Power 20 // 9//2 = 4 and 9.0//2.0 = 4.0

Python Comparison Operators == If the values of two operands are equal, then the condition becomes true != If values of two operands are not equal, then condition becomes true. <> If values of two operands are not equal, then condition becomes true. > < >= <=

Python Assignment Operators = Assigns values from right side operands to left side operand += It adds right operand to the left operand and assign the result to left operand -= *= /= %= **= //=

Python Bitwise Operators & Binary AND | Binary OR ^ Binary XOR

Python Logical Operators And Or not

Python Membership Operators Python’s membership operators test for membership in a sequence, such as strings,lists, or tuples in not in

Python Identity Operators is Evaluates to true if the variables on either side of the operator point to the same object and false otherwise is not Evaluates to false if the variables on either side of the operator point to the same object and true otherwise.

DECISION MAKING Decision making is anticipation of conditions occurring while execution of the program and specifying actions taken according to the conditions. Decision structures evaluate multiple expressions which produce TRUE or FALSE as outcome. You need to determine which action to take and which statements to execute if outcome is TRUE or FALSE otherwise. if statements

LOOPS In general, statements are executed sequentially: The first statement in a function is executed first, followed by the second, and so on. There may be a situation when you need to execute a block of code several number of times. Programming languages provide various control structures that allow for more complicated execution paths.

while loop Repeats a statement or group of statements while a given condition is TRUE. It tests the condition before executing the loop body. A while loop statement in Python programming language repeatedly executes a target statement as long as a given condition is true. count = 0 while (count < 9): print 'The count is:', count count = count + 1

Using else Statement with Loops Python supports to have an else statement associated with a loop statement.  If the else statement is used with a for loop, the else statement is executed when the loop has exhausted iterating the list.  If the else statement is used with a while loop, the else statement is executed when the condition becomes false

Loop Control Statements break statement - Terminates the loop statement and transfers execution to the statement immediately following the loop. continue statement - Causes the loop to skip the remainder of its body and immediately retest its condition prior to reiterating pass statement - The pass statement in Python is used when a statement is required syntactically but you do not want any command or code to execute.

DATE AND TIME A Python program can handle date and time in several ways. Converting between date formats is a common chore for computers. Python's time and calendar modules help track dates and times. There is a popular time module available in Python which provides functions for working with times and for converting between representations. The function time.time() returns the current system time in ticks since 12:00am, January 1, 1970

Defining a Function  Function blocks begin with the keyword def followed by the function name and parentheses ( ( ) ).  Any input parameters or arguments should be placed within these parentheses. You can also define parameters inside these parentheses.  The first statement of a function can be an optional statement - the documentation string of the function or docstring.  The code block within every function starts with a colon (:) and is indented.  The statement return [expression] exits a function, optionally passing back an expression to the caller. A return statement with no arguments is the same as return None

CLASSES AND OBJECTS Class: A user-defined prototype for an object that defines a set of attributes that characterize any object of the class. The attributes are data members (class variables and instance variables) and methods, accessed via dot notation.  Class variable: A variable that is shared by all instances of a class. Class variables are defined within a class but outside any of the class's methods. Class variables are not used as frequently as instance variables are.  Data member: A class variable or instance variable that holds data associated with a class and its objects.  Function overloading: The assignment of more than one behavior to a particular function. The operation performed varies by the types of objects or arguments involved.  Instance variable: A variable that is defined inside a method and belongs only to the current instance of a class.  Inheritance: The transfer of the characteristics of a class to other classes that are derived from it.  Instance: An individual object of a certain class. An object obj that belongs to a class Circle, for example, is an instance of the class Circle.  Instantiation: The creation of an instance of a class.  Method: A special kind of function that is defined in a class definition

Creating Classes class Employee: 'Common base class for all employees' empCount = 0 def __init__(self, name, salary): self.name = name self.salary = salary Employee.empCount += 1 def displayCount(self): print "Total Employee %d" % Employee.empCount def displayEmployee(self): print "Name : ", self.name, ", Salary: ", self.salary

Destroying Objects (Garbage Collection) Python deletes unneeded objects (built-in types or class instances) automatically to free the memory space. The process by which Python periodically reclaims blocks of memory that no longer are in use is termed Garbage Collection.

File Handling file object = open(file_name [, access_mode][, buffering]) - file_name: The file_name argument is a string value that contains the name of the file that you want to access - access_mode: The access_mode determines the mode in which the file has to be opened. This is optional parameter and the default file access mode is read (r). - buffering: If the buffering value is set to 0, no buffering takes place. If the buffering value is 1, line buffering is performed while accessing a file. If you specify the buffering value as an integer greater than 1, then buffering action is performed with the indicated buffer size. If negative, the buffer size is the system default (default behavior).

Modes - r - Opens a file for reading only. The file pointer is placed at the beginning of the file. This is the default mode. - rb - Opens a file for reading only in binary format. The file pointer is placed at the beginning of the file. - r+ - Opens a file for both reading and writing. The file pointer is placed at the beginning of the file. - rb+ - Opens a file for both reading and writing in binary format. The file pointer is placed at the beginning of the file. - w - Opens a file for writing only. Overwrites the file if the file exists. If the file does not exist, creates a new file for writing.

Modes - wb - Opens a file for writing only in binary format. Overwrites the file if the file exists. If the file does not exist, creates a new file for writing. - w+ - Opens a file for both writing and reading. Overwrites the existing file if the file exists. If the file does not exist, creates a new file for reading and writing. - wb+ - Opens a file for both writing and reading in binary format. Overwrites the existing file if the file exists. If the file does not exist, creates a new file for reading and writing. - a - Opens a file for appending. The file pointer is at the end of the file if the file exists. That is, the file is in the append mode. If the file does not exist, it creates a new file for writing.

Modes - ab - Opens a file for appending in binary format. The file pointer is at the end of the file if the file exists. That is, the file is in the append mode. If the file does not exist, it creates a new file for writing. - a+ - Opens a file for both appending and reading. The file pointer is at the end of the file if the file exists. The file opens in the append mode. If the file does not exist, it creates a new file for reading and writing. - ab+ - Opens a file for both appending and reading in binary format. The file pointer is at the end of the file if the file exists. The file opens in the append mode. If the file does not exist, it creates a new file for reading and writing

File attributes - 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.

Example # Open a file fo = open("foo.txt", "wb") print "Name of the file: ", fo.name print "Closed or not : ", fo.closed print "Opening mode : ", fo.mode print "Softspace flag : ", fo.softspace

The close() Method The close() method of a file object flushes any unwritten information and closes the file object, after which no more writing can be done. Python automatically closes a file when the reference object of a file is reassigned to another file. It is a good practice to use the close() method to close a file. fileObject.close();

The write() Method - The write() method writes any string to an open file. It is important to note that Python strings can have binary data and not just text. - The write() method does not add a newline character ('\n') to the end of the string - fileObject.write(string); # Open a file fo = open("foo.txt", "wb") fo.write( "Python is a great language.\nYeah its great!!\n"); # Close opend file fo.close()

File positions # Check current position position = fo.tell(); print "Current file position : ", position # Reposition pointer at the beginning once again position = fo.seek(0, 0); str = fo.read(10); print "Again read String is : ", str # Close opend file fo.close()

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Python Programming

Chapter 2: Variables, expressions, and statements. Python Programming. Saad Bani Mohammad Department of Computer Science Al al-Bayt University. 1 st 2011/2012. Values and Types. A value is one of the fundamental things - like a letter or a number - that a program manipulates.

632 views • 17 slides

Chapter 5: Fruitful Functions. Python Programming. Saad Bani Mohammad Department of Computer Science Al al-Bayt University. 1 st 2011/2012. Return Values.

419 views • 17 slides

Python Basics

Python Basics. Python History. Late 1970s: programming language called ABC at the Centrum voor Wiskunde en Informatica in the Netherlands Audience included physicists, social scientists, and linguists 1983: Guido van Rossum joined the ABC team

1.97k views • 18 slides

Python Basics. Tom LeFebvre. Python Language. Very High-Level Language Scripting Language (no compiling) Simple syntax Easy to Learn/Use Slow execution. Indentation. Python uses indentation to identify blocks of code Might be difficult to get used to Code is more readable.

446 views • 18 slides

Python Programming. Installing Python. We are going to use Jython . Install JES ( Jthon Environment for Students) JES: Like a text editor comes with a bunch of built-in stuff that you can use to work on images and sound files by writing small chunks of code. Installation.

616 views • 33 slides

Python Basics. Python History. Late 1970s: programming language called ABC at the Centrum voor Wiskunde en Informatica in the Netherlands Audience included physicists , social scientists , and linguists 1983: Guido van Rossum joined the ABC team

415 views • 18 slides

Python Programming. by Chris Seddon. Python Programming. 13. Exception Handling 14. Unit Test 15. Inheritance 16. Threading 17. Extending and Embedding 18. Meta Classes 19. cx_Oracle 20. Operator Overloading 21. Web Application Frameworks 22. JSON and XML

4.42k views • 337 slides

Python Programming. overview. by. Aliki Muradova. Technical University of Crete. Why Python?. What advantages has it?. Python Programming. The Reasons for Choosing Python. Python is free It is object-oriented It is interpreted It is operating-system independent

1.03k views • 30 slides

Python Programming. Week 3 - Wednesday. Starter. YESTERDAY. Date &amp; Time Library Conditional statements. REMInders. Today. Conditionals &amp; Control flow Understand what control flow is Recognise and practice using 6 comparators (==, !=, &lt;=, &gt;=, &lt;, &gt;) Explain what a comparator is

345 views • 11 slides

Chapter 10: Dictionaries. Python Programming. Saad Bani Mohammad Department of Computer Science Al al-Bayt University. 1 st 2011/2012. Dictionaries.

432 views • 16 slides

Python programming

Python programming. Introduction to the JES environment and basics of Python. Reading: Chapters 1, 2 from “Introduction to Computing and Programming in Python”. Python. The programming language we will be using is called Python http://www.python.org

716 views • 34 slides

Python programming. Introduction to the JES environment and basics of Python. Python. The programming language we will be using is called Python http://www.python.org It’s used by companies like Google, Industrial Light &amp; Magic, Nextel, and others

455 views • 16 slides

python programming

Get the best Python training in Bangalore. Apponix is proud to say that its is one of the top Python training provider in Bangalore, we provide best training experience and results to our valued students, All our trainers are very experienced IT professionals and love to share their practical knowledge with the students.

176 views • 5 slides

Python programming. Using the JES picture functions and defining new functions. Review. Python – what kind of animal? JES environment command area arithmetic print command variables and the assignment statement Functions sqrt() str() showInformation() requestInteger().

315 views • 26 slides

245 views • 18 slides

Chapter 9: Tuples. Python Programming. Saad Bani Mohammad Department of Computer Science Al al-Bayt University. 1 st 2011/2012. Mutability and Tuples.

228 views • 17 slides

Help troubleshooting a program that suddenly exits when it has worked fine for years

Without the code and a traceback, there’s not much we can do to help.

Have you tried running the script with a debugger? Throw in several breakpoints near where it seems to fail, and then step through to get a sense of where things go wrong. This might also help identify any error messages like @MRAB was saying

First, that version of Python is fairly old. We may not always be able to update Python, but using an old Python can cause problems if you are using newer modules. Limiting which modules one can use limits what one can do.

Some modules are not compatible with an old version of Python, and in fact, some need Python 3.8 or higher. Check each module requirements on https://pypi.org .

Second, run the program through the debugger and trap the error and show us the line that causes the error and the exact error, like this:

Use multiple try..except blocks to break up your logic into multiple blocks that make sense. You should not have 200 lines inside the try...except block. Just have up to 20 lines IMO.

• What is the line that is causing the problem? Are you reading from a database? Reading from an Excel file?

Possibilities

Bad/Corrupt Excel file

Once in a while I get a corrupt Excel file and the program reads really weird results, although this seemed to be a problem with the older Perl module I was using. I have not had problems with Python yet but I have only used it since March 2024.

Bad data in database

Sometimes I read data from a database and the field/column that is read will have invisible characters because our less-than-stellar software (that I did not write) allows all kinds of control characters and does not clean those out. And that’s why you need an input routine or read routine that all your programs use that removes odd invisible characters.

I recently found a field with a unique SKU (inventory item number) that had a CRLF in the middle of the SKU! This SKU was used to link 2 completely different databases together in Power BI.

Memory issues

It’s also possible you are running out of memory especially if the program is running on a cloud service. Our cloud service plan has only 1GB of memory for the virtual machine. We have to work within budgetary constraints. That is not enough for when we start using big data. Our minimum machine requirements are 32GB of RAM since we do read some large Excel files of 100MB or a bit more. (The customer doesn’t know how to give us the data in any other way so we have to work with that.)

My point being I have already hit limits of memory with Perl reading spreadsheets (which we don’t use anymore) and with Power BI visuals. I have had no problems with memory and Python.

what is a traceback?

See 8. Errors and Exceptions — Python 3.12.5 documentation

Presumably it’s the thing that you saw here:

To help you we’d need to see what was dumped out as well as the corresponding code (both as formatted text ).

When a Python program stops because of an error, it prints a series of messages saying what the error was and where it occurred. That’s called a “traceback”.

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