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Advanced Python training course description This course caters to network engineers aiming to enhance both their Python proficiency and network automation skills. Delving deeper into key areas such as netmiko, Nornir, and ncclient, we also focus on automating network testing and validation. Participants gain greater confidence working with Python functions, classes, objects, and error handling. The course additionally introduces more libraries like Scrapli, TTP, pyATS, Genie, pybatfish, and Suzieq, which cover parsing strategies, automation testing, validation, network analysis, observability, and telemetry. The curriculum also encompasses concurrency techniques. What will you learn Write Python modules and functions. Evaluate techniques to parse unstructured data. Use NETCONF filters. Handle Python errors effectively (try, assert…). Use postman. Automate testing and validation of the network. Use scrapli, Genie, batfish and Suzieq. Advanced Python training course details Who will benefit: Network engineers. Prerequisites: Python for network engineers Duration 5 days Advanced Python training course contents Review CLI, NETCONF, RESTCONF, structured versus unstructured data, gNMI and when to use which. PEP 8. Naming conventions. Packages, modules, Classes and methods. The scrapli library. Netmiko versus scrapli. Hands on: scrapli, Dictionaries versus Regular Expressions. Modules and Functions Writing your own modules, containers versus packages, virtual environments. Best practices, calling functions, writing your own functions. Parameters, arguments. Named arguments, dictionaries as arguments. Builtins. Docstrings. Main. __name__, __main__ . Program arguments. Hands on: Getting interfaces, showing interface status using Netmiko and functions. Using dictionaries as arguments. Writing your own modules. Parsing strategies Turning unstructured data into structured data. textfsm, PyATS Genie parser, NAPALM getters, Template Text Parser. Hands on: Genie parser, TTP. Accessing structured data with lists and dictionaries. Classes, objects and Python Python classes in Genie, PyEZ and others . Hands on: studying network automation classes, objects, methods and attributes. Configuration management - more nornir, ncclient, requests Nornir tasks. Nornir results, Nornir functions, Nornir plugins. Nornir processors. YANG, YANG models, pyang. NETCONF hello. Capabilities. Schemas. Filters. Subtrees. XPATH. Exploring available YANG data models. NETCONF and network wide transactions. Asserting NETCONF capabilities. Configuration types. Locking configurations, commits. NETCONF data stores. Netconf-console. RESTCONF differences from NETCONF. URI construction. Postman. More XML and JSON. Git and configuration versions. Hands on: Nornir and Jinja2. Exploring available models, NETCONF filters. Using postman. Python error handling and debugging Context handlers, try, assert, logging, pdb, pytest, unit testing, chatgpt. Hands on: Writing code with each of the error handling methods, investigating what happens on an error. Use chatgpt to debug your code. Python Automation Testing Testing and validation. pyATS, Genie. Testbed file. Genie parse, genie learn, genie diff. Genie conf, Genie ops, Genie SDK, Genie harness. Xpresso. Hands on: Using Genie for state comparisons of the network. Network analysis Batfish, pybatfish, configuration analysis, analysing routing, analysing ACLs. Pandas. Pandas dataframe. Filtering and selecting values of interest. Hands on: Use Batfish to analyse network snapshots, find network adjacencies, flow path analysis. Network observability Suzieq, using docker, using as a package. Sqpoller, suzieq-gui, suzieq-cli, sq-rest-server. Namespaces and seeing devices, network state and Asserts. Time based analysis, snapshots and changes. Hands on: Suzieq: Gathering data from the network, analysing data from the network. Network state assertion. Telemetry gRPC, gNMI. CAP, GET, SET. Subscriptions. Model Driven telemetry. Hands on: Analysing telemetry data with Python. Concurrency asyncio, threads, processes. Nornir concurrency. Scrapli and netmiko concurrency. Hands on: Multiple SSH connections to devices at same time. Scarpli asyncio.

This workshop offers an opportunity for asking all questions regarding Gestalt Therapy and the experiential use of some of the tools/experiments associated with it.  There will be an opportunity for an in-depth exploration of how to work with clients and your own process, with the use of some of the classic skills and tools offered within Gestalt Therapy. This could include some 2 Chair Work, working with a Sensation, Dream Work, Stones, Russian Dolls, Objects, Drawing and much more; guided and influenced by what you, the attendees, might want.  The Gestalt Cycle of Awareness will be covered (which some refer to it as a wave) – I refer to as the sea, because there are many waves in the sea at the same time. Some starting and some ending. All will be linked to the core emotions through the lens of my book - ‘The Penny Model’, to help make Gestalt Therapy more accessible and comprehensible. The session will be suitable for all practitioners; whichever modality you have been trained in.  Workshop details: Duration: 3 HoursTime: 2 PM (PKT)Date: June 17th 2023Location: Online (Zoom)Cost: 15,000/- PKR (Discount available of members of The Grower’s Circle)Certificate of Participation: Yes  About Stefan Charidge Stefan Charidge is the originator of The Penny Model, and the author of "The Penny Model: an explanation of where depression comes from and how to overcome it". Stefan is a Psychotherapist, Counsellor, and Supervisor by profession.

https://www.transmedia.co.uk/course/google-google-analytics-introduction A true understanding of Google Analytics will help dramatically with your knowledge of what digital content your users engage with most and what web pages and app features provide the best results. It will help you to know who your audiences are, where your web traffic comes from and whether your online campaigns are delivering the results you expect. This one day, hands on course is designed for those with no previous experience of Google Analytics or those with experience of Universal Analytics and who now want to upgrade to GA4 and gain thorough knowledge of what GA4 can do and how it differs from prior versions. Topics covered include Introduction, the GA4 data model, the interface, Understanding the data, Reporting in GA4, How users engage with your content and Analysis techniques.

Step into the fascinating world of deep learning with our Deep Learning Projects - Handwritten Digit Recognition Using Neural Network course. This course takes you through the power of neural networks by using one of the most iconic machine learning challenges—digit recognition. Whether you're brushing up on your AI knowledge or taking your first step into neural networks, this course simplifies the complexity without watering it down. Expect clear, jargon-free explanations that give neural networks a human touch. Learn how digits are recognised, how machines learn from data, and what goes on inside those layers of artificial intelligence—without sounding like a maths textbook. From data input to prediction output, the entire pipeline is broken down in a logical, structured, and thoroughly digestible way. If you're into machine learning, this project will speak your language—digitally. Learning Outcomes: Gain a solid understanding of the principles of deep learning and neural networks. Learn how to use Google Collab to import and preprocess data for deep learning projects. Discover how to create your own neural network model to recognise handwritten digits. Understand how to train your model, make predictions, and evaluate its performance. Learn how to create your own convolutional neural network model for even more advanced recognition tasks. The Deep Learning Projects - Handwritten Digit Recognition Using Neural Network course is designed to provide you with the skills and knowledge you need to build your own neural network for handwritten digit recognition. Using Google Collab, you'll learn how to import and preprocess data for deep learning projects, create your own neural network model, and train it to recognize handwritten digits with high accuracy. You'll also discover how to evaluate the performance of your model and create a convolutional neural network model for even more advanced recognition tasks. Deep Learning Projects - Handwritten Digit Recognition Using Neural Network Course Curriculum Lesson 01: Introduction to Project Lesson 02: Google Collab Lesson 03: Importing Packages and Data Lesson 04: Preprocessing and Model Creation Lesson 05: Training the Model and Prediction Lesson 06: Model Creation using CNN Lesson 07: CNN Model Prediction How is the course assessed? Upon completing an online module, you will immediately be given access to a specifically crafted MCQ test. For each test, the pass mark will be set to 60%. Exam & Retakes: It is to inform our learners that the initial exam for this online course is provided at no additional cost. In the event of needing a retake, a nominal fee of £9.99 will be applicable. Certification Upon successful completion of the assessment procedure, learners can obtain their certification by placing an order and remitting a fee of __ GBP. £9 for PDF Certificate and £15 for the Hardcopy Certificate within the UK ( An additional £10 postal charge will be applicable for international delivery). CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Data analysts who want to expand their skills in deep learning and neural networks. Programmers who want to learn how to build their own neural network models for advanced recognition tasks. Entrepreneurs who want to develop their own deep learning-based applications. Students who want to enhance their skills in deep learning and prepare for a career in the field. Anyone who wants to explore the world of deep learning and neural networks. Career path Data Analyst: £24,000 - £45,000 Machine Learning Engineer: £28,000 - £65,000 Software Engineer: £28,000 - £60,000 Technical Lead: £40,000 - £90,000 Chief Technology Officer: £90,000 - £250,000 Certificates Certificate of completion Digital certificate - £9 You can apply for a CPD Accredited PDF Certificate at the cost of £9. Certificate of completion Hard copy certificate - £15 Hard copy can be sent to you via post at the expense of £15.

This course is perfect for the beginner but also delves into building a SAS Model and intermediate topics. Learn SAS Data Step, SQL Step, Macros, SAS Model Building, Predictive Analytics, SAS and ML. If you are using SAS Enterprise Guide and want to learn how to code/program instead of using the point-and-click interface, this course is ideal!

Addiction is a curse for human society. It can ruin a whole society easily. The Psychology and Therapy of Addictions course is designed for the people who want to help the addicted people and their family. Throughout the course, you will explore the techniques of counselling and therapy for people with addictions. You will learn about the Alcoholic parents and their children and how to deal with them. As the course proceeds, you will be familiarised with the treatments for drug addiction. The course also illustrates how to become a 'substance misuse worker'. You will know about co-dependency and relapse. By finishing the course, you will be able to start your counselling career and ready to help addicted people to their recovery. What Will I Learn? Work as a 'helper' who specialises in alcohol- and drug addictions Help someone they know who is struggling with their addiction Requirements Have an interest in helping to people with addictions Internet connection for taking this cours Who is the target audience? A beginner with an interest in 'Addiction therapies' or 'Addiction psychology' No previous academic experience is required, only genuine desire to learn! About Introduction: About instructor & the course FREE 00:02:00 Theories of Addiction The Moral Model FREE 00:06:00 The Psychological Model FREE 00:07:00 The Medical / Disease Model 00:09:00 The Socio-Cultural Model 00:05:00 Addiction Treatments Pharmacotherapy 00:03:00 The Minnesota Model 00:04:00 Counselling and Therapy 00:07:00 Harm Reduction Model 00:05:00 Treatments in Practice 00:05:00 Addiction in Society Drug policies, Legislation and Decriminalisation 00:09:00 Community change, Outreach, Harm Reduction or Abstinence 00:06:00 Alcohol and Drug education 00:06:00 Alcohol- and drug related issues in the workplace 00:05:00 Addiction in Families Codependency, Children of alcoholic families, parenting styles, family factors 00:08:00 Relapse for families, 'letting go', dependent attitudes and dependent behaviours 00:05:00 Al-Anon 00:05:00 The Intervention Approach 00:05:00 Working with Addiction Why be a 'helper' 00:03:00 'Helper' qualities and attitudes 00:04:00 Counselling / 'helping' skills 00:04:00

Arranging AND THE CONCEPT OF THE THREE P'S Arranging is a key deals expertise that can have a significant effect to finalizing or losing a negotiation. Arrangement is something of a work of art, however with training and tolerance any salesman can learn it. This course will show you the standards behind fruitful arrangement and give you viable tips that will hone your abilities. You will figure out how to utilize your passionate and psychological insight to strike the most ideal arrangement with a customer, and realize when you should surrender endeavors at additional exchange. We will likewise take a gander at the "3 P's" model and how it can facilitate your comprehension of the selling interaction. You Will Learn: Why you need to comprehend the nature and reason for exchange, and seven essential principles you need to follow Five exchange systems that will upgrade your compatibility with a possibility and increment your odds of finalizing a negotiation Six traps to stay away from while haggling with a possibility How the "3 P's" model can assist you with exploring the business interaction Advantages of Taking This Course: In the event that you work in deals, this course will help you use exchange abilities to support your change rate In the event that your job involves any type of exchange or intervention between at least two gatherings, you will actually want to utilize the adaptable abilities laid out in this course By learning the "3 P's" model, you will actually want to enter exchange circumstances realizing that you have a dependable design to count on, making you a more certain communicator In the event that you are keen on buyer brain research, this course will extend your insight into the purchaser dynamic cycle in light of outside pressure