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MY GNS3 NETWORK PROGRAMMABILITY SETUP

INTRODUCTION

This project shows a practical way to get started with network programmability in python using GNS3 network emulator.

GOAL: using python telnet and ssh scripts to configure loopback interfaces and Routing protocol (eigrp) on router, and configure switch vlans and interface loopback. Also shows a simple setup on GNS3.

What is Network programmabilty?

Network programmability means abstracting a computer network such that it appears as a single device that can be manipulated with specialized software, APIs or programming languages, or within existing software.

NB: The Python telnet library/package is called: telnetlib, while the Python ssh libraries are: paramiko and netmiko, but netmiko was used in this project, because it is more simpler and flexible than paramiko. …


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INTRODUCTION

GOAL: This project explains the FLASK sentiment webapp and how it uses the custom Hotel reviews sentiment ML model, the IBM API for sentiments, emotions.. and python Packages/modules for summarization and for word sentiments. Also how to use the flask webapp as an API.

FLASK WEBAPP: https://kingofsentiments.herokuapp.com/

TO BETTER UNDERSTAND THIS FINAL PART ,READ THE PART 1 AND 2 SERIES

PART 1 NLP SERIES: https://juniorboyboy2.medium.com/demystifying-natural-language-processing-nlp-with-webapp-using-custom-ml-model-and-api-built-ec96eb9507bc

PART 2 NLP SERIES : https://juniorboyboy2.medium.com/demystifying-natural-language-processing-nlp-with-flask-webapp-using-custom-ml-model-api-and-891b414bc231

OUTLINE

1. Using Python Vader library for word sentiment in the flask webapp

2. Using IBM Natural Language Understanding API for sentiment, emotions and category of sentence in the flask…


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INTRODUCTION

GOAL: This project explains the API used to get sentence sentiment, emotions and category, and the python modules/ packages used to get word sentiment and summarize text in the flask webapp.

FLASK WEBAPP: https://kingofsentiments.herokuapp.com/

OUTLINE:

1. IBM API USED TO GET ,SENTIMENTS , EMOTIONS , AND CATEGORIES OF SENTENCE KEYWORDS AND ENTITIES IN THE FLASK SENTIMENT WEBAPP:

2. EXPLANING THE PYTHON MODULE USED TO GET WORD SENTIMENT IN THE FLASK WEBAPP

3. EXPLANING THE PYTHON MODULE USED TO SUMMARIZE SENTENCES IN THE FLASK WEBAPP.

1. IBM API USED TO GET ,SENTIMENTS , EMOTIONS , AND CATEGORIES OF SENTENCE KEYWORDS AND ENTITIES IN THE FLASK SENTIMENT WEBAPP:

API

API is the acronym for Application Programming Interface, which is a software intermediary that allows two applications to talk to each other. Each time you use an app like Facebook, send an instant message, or check the weather on your phone, you’re using an API. …


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EXPLAINING THE CUSTOM BUILT HOTEL REVIEWS NLP SENTIMENT MACHINE LEARNING MODEL

INTRODUCTION

GOAL: This project entails the explanation of the custom built hotel reviews NLP ml model for the webapp.

We will explain the key concepts of natural language processing(NLP), and build a NLP classifier for hotel review sentiments based on the hotel reviews dataset, clean the dataset, and use the sklearn nltk library while applying some key NLP concepts like stemming, stopwords, regular expressions… to clean the dataset.

NB: Popular library for natural language processing in python is the NLTK module which contains packages for nlp.

DATASET DESCRIPTION: Dataset is from one of the leading travel site containing hotel reviews provided by customers. …


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End of the year picture collation on #december31st as been a tradition for me for some four-five years 😊

Quite a challenging year, but still had a great year full of self determination, diligence , consistency, and God’s grace.

Accomplished some vital goals this year amidst the pandemic #covid19 and #ASUUSTRIKE .

Looking forward to an awesome #2021

Thank you Lord! 🙌


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1. INTRODUCTION

GOAL: We will use beautiful soup library to scrap static data from wikipedia page that contains Nigeria’s population in 2006 and 2016 in a table format, then visualize by comparing the python libraries: matplotlib, seaborn , plotly with tableau.

Page: https://en.wikipedia.org/wiki/List_of_Nigerian_states_by_population


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  1. INTRODUCTION

Dataset description: Hotel booking demand; This data set contains booking information for a city hotel and a resort hotel, and includes information such as when the booking was made, length of stay, the number of adults, children, and/or babies, and the number of available parking spaces, among other things.

Download Dataset: https://www.kaggle.com/jessemostipak/hotel-booking-demand

GOAL : This project compares Python Pandas Exploratory Data Analysis (EDA)Visualization(using barcharts) and Microsoft PowerBI to determine ease of use and have some data insights. We answer some questions about the dataset to get data insights.

Concepts learnt:

Pivot tables

bar charts ploting

pivot tables (operations)

Powerbi Dashboard. …


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So much beautiful things to describe in the world .

Starting My short writing series, filled with fantastic descriptions of all kind realities , grouped by categories.

FIRST SHORT WRITING CATEGORIES:

  1. Misconceptions,

2. Amazement,

3. Affections,

4. Thoughts,

5. Nature

1 (i) THE STAIRCASE (Misconceptions)

About

oluyede Segun (jr)

Certified I.T specialist | Computer Network Admin | Cloud | Artificial intelligence ( Machine Learning & Data Analysis),& webdev. python/JavaScript language

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