1 Create Python Lists
2 Mutable Lists
3 Traverse a List
4 Slice a List
5 Insert Into a List
6 Append to a List
7 Sort a List
8 Reverse a List
9 Index of an element
10 Delete an Element
11 Aggregate Functions
12 Compare Lists
13 Math Operations On Lists
14 Lists and Strings
15 Join a List
16 Aliasing
Have you ever needed to do arithmetic on every element of a list? Perform complicated list analysis not available in the existing list transformers? Come take a technical look at 3 methods for manipulating lists in FME, their ease of setup and relative efficiency.
Have you ever needed to do arithmetic on every element of a list? Perform complicated list analysis not available in the existing list transformers? Come take a technical look at 3 methods for manipulating lists in FME, their ease of setup and relative efficiency.
Searching is an extremely fascinating and useful computer science technique. It helps to find the desired object with its location and number of occurrences. The presentation includes the basic principles, algorithms and c-language implementation.
Here i am sharing the details of collections classes in C# for learining similar kind of c# interview question you can refer this link http://skillgun.com/csharp/interview-questions-and-answers
This is a presentation on LALR parser. This presentation was created by 6th sem CSE student.
LALR parser is basically used to creating the LR parsing table. LALR parser is used because it is more powerful than SLR and the tables generated by LALR consumes less memory and disk space than CLR parser.
fundamental of python --- vivek singh shekawatshekhawatasshp
# Fundamentals of Python: A Comprehensive Guide
Python is a versatile and powerful programming language that has gained immense popularity in recent years. Known for its simplicity and readability, Python is an ideal choice for beginners and experienced programmers alike. This comprehensive guide covers the fundamentals of Python, providing a solid foundation for anyone looking to learn this dynamic language.
## Introduction to Python
### What is Python?
Python is a high-level, interpreted programming language designed by Guido van Rossum and first released in 1991. Its design philosophy emphasizes code readability and simplicity, making it an excellent language for beginners. Python supports multiple programming paradigms, including procedural, object-oriented, and functional programming.
### Why Learn Python?
Python's popularity stems from its versatility and ease of use. Here are some key reasons to learn Python:
- **Simplicity**: Python's syntax is straightforward and easy to learn, making it accessible to beginners.
- **Versatility**: Python can be used for web development, data analysis, artificial intelligence, machine learning, automation, and more.
- **Community Support**: Python has a large and active community, providing a wealth of resources, libraries, and frameworks.
- **Job Market**: Python skills are in high demand, making it a valuable language to learn for career opportunities.
## Setting Up Python
### Installation
To start coding in Python, you need to install it on your computer. Python is available for various operating systems, including Windows, macOS, and Linux. Follow these steps to install Python:
1. **Download Python**: Visit the official Python website (https://www.python.org) and download the latest version of Python for your operating system.
2. **Run the Installer**: Follow the installation instructions specific to your operating system. Ensure you select the option to add Python to your system PATH during installation.
3. **Verify Installation**: Open a command prompt or terminal and type `python --version` to verify the installation. You should see the installed Python version displayed.
### Integrated Development Environment (IDE)
An Integrated Development Environment (IDE) enhances your coding experience by providing tools and features to write, debug, and manage code efficiently. Some popular Python IDEs include:
- **PyCharm**: A powerful IDE specifically for Python, offering advanced features for professional developers.
- **Visual Studio Code**: A lightweight, versatile code editor with excellent Python support through extensions.
- **Jupyter Notebook**: An interactive web-based environment, ideal for data analysis and visualization.
## Basic Syntax and Data Types
### Hello, World!
The traditional first program in any language is the "Hello, World!" program. In Python, this is straightforward:
```python
print("Hello, World!")
```
The tuple data type is a sequenced data type that can not be modified, offering optimization to your programs by being a kindly swiftly type than lists for Python to reprocess.
Searching is an extremely fascinating and useful computer science technique. It helps to find the desired object with its location and number of occurrences. The presentation includes the basic principles, algorithms and c-language implementation.
Here i am sharing the details of collections classes in C# for learining similar kind of c# interview question you can refer this link http://skillgun.com/csharp/interview-questions-and-answers
This is a presentation on LALR parser. This presentation was created by 6th sem CSE student.
LALR parser is basically used to creating the LR parsing table. LALR parser is used because it is more powerful than SLR and the tables generated by LALR consumes less memory and disk space than CLR parser.
fundamental of python --- vivek singh shekawatshekhawatasshp
# Fundamentals of Python: A Comprehensive Guide
Python is a versatile and powerful programming language that has gained immense popularity in recent years. Known for its simplicity and readability, Python is an ideal choice for beginners and experienced programmers alike. This comprehensive guide covers the fundamentals of Python, providing a solid foundation for anyone looking to learn this dynamic language.
## Introduction to Python
### What is Python?
Python is a high-level, interpreted programming language designed by Guido van Rossum and first released in 1991. Its design philosophy emphasizes code readability and simplicity, making it an excellent language for beginners. Python supports multiple programming paradigms, including procedural, object-oriented, and functional programming.
### Why Learn Python?
Python's popularity stems from its versatility and ease of use. Here are some key reasons to learn Python:
- **Simplicity**: Python's syntax is straightforward and easy to learn, making it accessible to beginners.
- **Versatility**: Python can be used for web development, data analysis, artificial intelligence, machine learning, automation, and more.
- **Community Support**: Python has a large and active community, providing a wealth of resources, libraries, and frameworks.
- **Job Market**: Python skills are in high demand, making it a valuable language to learn for career opportunities.
## Setting Up Python
### Installation
To start coding in Python, you need to install it on your computer. Python is available for various operating systems, including Windows, macOS, and Linux. Follow these steps to install Python:
1. **Download Python**: Visit the official Python website (https://www.python.org) and download the latest version of Python for your operating system.
2. **Run the Installer**: Follow the installation instructions specific to your operating system. Ensure you select the option to add Python to your system PATH during installation.
3. **Verify Installation**: Open a command prompt or terminal and type `python --version` to verify the installation. You should see the installed Python version displayed.
### Integrated Development Environment (IDE)
An Integrated Development Environment (IDE) enhances your coding experience by providing tools and features to write, debug, and manage code efficiently. Some popular Python IDEs include:
- **PyCharm**: A powerful IDE specifically for Python, offering advanced features for professional developers.
- **Visual Studio Code**: A lightweight, versatile code editor with excellent Python support through extensions.
- **Jupyter Notebook**: An interactive web-based environment, ideal for data analysis and visualization.
## Basic Syntax and Data Types
### Hello, World!
The traditional first program in any language is the "Hello, World!" program. In Python, this is straightforward:
```python
print("Hello, World!")
```
The tuple data type is a sequenced data type that can not be modified, offering optimization to your programs by being a kindly swiftly type than lists for Python to reprocess.
Textbook Solutions refer https://pythonxiisolutions.blogspot.com/
Practical's Solutions refer https://prippython12.blogspot.com/
Contiguous memory locations are occupied to store data in memory, this structure of storing data is Array.
Introduction to Lists
Elementary Data Representation Different data structures, Operations on Data structures.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...
Python list functions
1.
2. Python List Functions – The Definitive Guide
Python list is a sequence of values, it can be any type, strings, numbers, floats, mixed
content, or whatever. In this post, we will talk about Python list functions and how to create,
add elements, append, reverse, and many other Python list functions.
Table of Contents [hide]
1 Create Python Lists
2 Mutable Lists
3 Traverse a List
4 Slice a List
5 Insert Into a List
6 Append to a List
7 Sort a List
8 Reverse a List
9 Index of an element
10 Delete an Element
11 Aggregate Functions
12 Compare Lists
13 Math Operations On Lists
3. 14 Lists and Strings
15 Join a List
16 Aliasing
Create Python Lists
To create a python list, enclose your elements in square brackets like this:
Your list could be strings like this:
You can mix the elements types like this:
You can write nested lists, which means lists inside lists live the above example.
Also, you can access any element of the list by its index which is zero based.
mylist = [1, 2, 3, 4, 5]
mylist = ['one', 'two', 'three', 'four', 'five']
mylist = ['one', 20 , 5.5 , [10, 15], 'five']
third_elem = mylist[2]