A special evening in memory of the late Sinn Féin representative Gráinne Mhic Géidigh will take place this Saturday 21st September 2019 at 6pm at the party’s constituency office in Derrybeg.The gathering, which is being organised by Deputy Pearse Doherty, will see a number of special events take place as friends, family and all those who knew Gráinne come together to pay tribute to the party’s first ever female elected representative in Donegal.Speaking ahead of this Saturday’s occasion, Teachta Doherty said “I am delighted and hugely humbled to be able to announce that this Saturday will see friends, family and loved ones of Gráinne Mhic Géidigh gather together for a special event taking place in dedication to her memory. “As many people will recall Gráinne sadly passed away just a few days before Christmas in 2017 following a battle with cancer.“To all who knew her, it’s in no way cliché to say that Gráinne was simply one of a kind.“To her family she was a sister, a mother as well as a loving wife. As for the rest of us she was a truly remarkable woman: a dedicated Republican, a passionate Gaeilgeoir and – speaking personally – a wonderful friend and confidant.“She is someone who will always be foundly remembered for, amongst other things, her inimitable wit, her beautiful singing voice and knowledge of traditional Irish folklore and tradition. “During her lifetime Gráinne made history when she became the first woman elected to the board of Údarás na Gaeltachta, making her Sinn Féin’s first woman elected representative in the county.“Considering the many worthwhile contributions she made over the years to promote the Irish language and the Gaeltacht region, it’s only fitting that a special event like this takes place to celebrate the mark she left on the lives of all who knew her.“On the night a commissioned portrait of Gráinne by local artist Annette Curran will be unveiled, while the ‘Gráinne Mhic Géidigh Scholarship’ will be launched which aims to assist young people attend Irish Colleges in the Gaeltacht to learn the language.“Separately, the ‘Corn Ghráinne’ award for participants of the ‘An Beál Binn’ recitation festival will also be launched while food and drinks will be served on the night.“I’d therefore like to extend an open invitation to everyone who knew Gráinne to ask that they join us this Saturday in Gaoth Dobhair for an evening of celebration, conversation and refreshments all in loving memory of a true patriot, Gráinne Mhic Géidigh.” Ócáid Speisialta á Reachtáil i gCuimhne Gráinne Mhic Géidigh*Leagan Béarla Thíos / English Version Below*Cuirfear ócáid speisialta ar bun i gcuimhne an tIar-ionadaí Shinn Féin Gráinne Mhic Géidigh ag 6 i.n. ar an Satharn 21ú Meán Fómhair 2019 in Oifig Shinn Féin, Doirí Beaga.Tá an tionól á éagrú ag Teachta aitiúil Pearse Doherty agus beidh roinnt imeachtaí ar súil ar an oíche mar a dtiocfaidh cairde, baill dá teaghlach agus daoine a raibh aithne acu ar Gráinne le chéile chun ómós a thabhairt don chéad ionadaí ban an pháirtí i nDún na nGall. Ag caint roimh an ócáid, Dúirt Teachta Doherty:“Is mór an ónóir dom a rá go dtiocfaidh cairde, gaolta agus daoine muinteartha Ghráinne Mhic Géidigh le cheile Dé Satharn chun freastáil ar ócáid speisialta atá á reachtáil i ndilchuimhne uirthi.“Cuimhneoidh daoine go bhfuair Gráinne bás le hailse go brónach cúpla lá roimh Nollaig i 2017.“Ní haon áibhéil a rá nach mbeidh leithéid Ghráinne ann arís.“Ba bhean chéile ghrámhar í, máthair gheanúil agus deirfiúr iontach. Bean iontach ab ea í gan amhras: bhí sí ina Poblachtánach an-díograiseach, Gaeilgeoir paiseanta agus – ag caint go pearsanta – cara dílis agus rúnchara.“Bhí féith an ghrinn inti leoga agus bhí clú agus cáil uirthi de bharr a guth álainn agus an t-eolas leathan a bhí aici ar an bhéaloideas agus an seantraidisiúin.“Rinneadh stair nuair a thoghadh Gráinne mar bhall de bord Údarás na Gaeltachta: an chéad bean a bhí tofa air agus an chéad ionadaí ban Shinn Féin sa chontae.“Chuaigh Gráinne go mór i bhfeidhm ar achan duine a raibh aithne uirthi agus silím gur comhartha ómóis cuí é go mbeidh ócáid speisialta mar seo ar súil chun comóradh a dhéanamh ar a saol go háirithe nuair a chuimnítear go ndéarna sí obair mhór ar son na Gaeilge agus na Gaeltachta.“Nochtfar portráid choimisiúnaithe do Ghráinne le healaíontóir aitiúil Annette Curran ar an oíche, agus seolfar ‘Scoláireacht Ghráinne Mhic Géidigh’ atá á bhonnadh d’fhonn cuidiú le daoine óga freastail ar Choláistí Gaeilge sa Ghaeltacht.“Chan amháin sin ach beidh an ‘Corn Ghráinne’ lainseáilte agus é atá le bronnadh ar rannpháirtí sa chomórtas aithriseoireachta, An Beál Binn agus cuirfear bia agus deoch ar fáil fosta.“Mar sin ba mhaith liom cuireadh oscailte a thabhairt d’achan duine a raibh aithne acu ar Gráinne chun a bheith inár gcuideachta Dé Sathairn i nGaoth Dobhair fá choinne tráthnóna ceiliúradh, cainte agus sólaistí i ndilchuimhne ar fíor-thírghráthóir, Gráinne Mhic Géidigh.”Special event to remember the late Gráinne Mhic Géidigh was last modified: September 18th, 2019 by Staff WriterShare this:Click to share on Facebook (Opens in new window)Click to share on Twitter (Opens in new window)Click to share on LinkedIn (Opens in new window)Click to share on Reddit (Opens in new window)Click to share on Pocket (Opens in new window)Click to share on Telegram (Opens in new window)Click to share on WhatsApp (Opens in new window)Click to share on Skype (Opens in new window)Click to print (Opens in new window)
YouCaring, the world’s trusted leader in free crowdfunding for personal, medical, and charitable causes, has announced that Houston Texans defensive end JJ Watt’s Houston Flood Relief Fund reached $10 million, officially becoming the largest and fastest-growing charitable crowdfunding campaign in the industry’s 10-year history.JJ Watt kicked off the campaign on Sunday afternoon with a personal contribution of $100,000. With the help of over 100,000 donors across the US, including recording artist Drake, who issued a video message of support to the city, Tom Brady, Ellen DeGeneres, Walmart, Tennessee Titans owner Amy Adams Strunk and Houston Rockets’ Chris Paul, the campaign surpassed its initial $200,000 goal in less than two hours, and has now surpassed $11 million. The vast majority of donations are under $100 each from Americans across the country.As a certified B-Corporation with a focus on helping people faced with hardship, YouCaring does not take a cut of each donation, but instead relies on voluntary donor tips to fund operations.“We’re a small team of about 50 people,” said Dan Saper, YouCaring’s CEO. “The influx of donations and support has been overwhelming, and we’re proud to announce that we are giving back $50,000 of donor tips to JJ’s fundraiser to help the victims of Hurricane Harvey.”“Unlike other crowdfunding platforms, we have always been free to use, ensuring more money goes to the people who need it most,” said YouCaring’s CMO, Maly Ly. “I am amazed and humbled by the many tens of thousands of individual donations that have been coming in since Sunday, and which testify to Americans’ ability to empathize with those in need and their willingness to help however they can.”In addition to JJ Watt’s campaign, YouCaring is now supporting over 1,000 active Hurricane Harvey relief fundraisers.Watch a video timeline of the JJ Watt campaign.Click here to donate to his fundraiser and support the victims of Hurricane Harvey.
SAGAR ISLAND: Mahant Gyan Das, the chief priest of Kapil Muni Ashram in Sagar Island, wants to see Mamata Banerjee as the Prime Minister of India. He was addressing a gathering at Sagar Island here on Friday afternoon.He said Prime Minister Narendra Modi is dividing the society on the basis of religion and is inciting one community against the other. Mahant has been visiting Sagar Island ahead of the holy dip by the pilgrims. “The Prime Minister is dividing the society on the basis of caste, creed and religion and inciting one group against the other. This is not our culture. Our culture teaches us to maintain peace and harmony. People belonging to different religions are staying in India for generations and any attempt to divide the society will be detrimental. If our Didi (Banerjee) becomes the Prime Minister there will be peace, prosperity and development and people in the country will live happily,” the chief priest said. Also Read – Rain batters Kolkata, cripples normal lifeHe also said that BJP is bringing in Ram to do politics. “Whenever there is an election they say that Ram Mandir will be constructed just to win votes. They said this in 2014 and once the government was formed no attempt was made to construct the temple. If voted to power, Didi will construct Ram temple herself,” he added. Das had voiced his protest against the Narendra Modi government on Wednesday as well, saying that it has failed to deliver its promise regarding the construction of Ram Mandir. The chief priest came down heavily on BJP, saying that the party ‘has been using Lord Ram for narrow politics’. The Chief Minister is on a visit to Gangasagar to oversee the arrangements ahead of the Mela. During her trip to the district she met the priest and held a media interaction on Wednesday. “Didi becoming the Prime Minister is in the nation’s interest. Ram Mandir would be constructed if someone like her becomes Prime Minister. It is the desire of the sages and saints of India to see Ram temple. BJP only promises it before elections but forgets later,” Das said.
As a category manager, I manage the data science portfolio of product ideas for Packt Publishing, a leading tech publisher. In simple terms, I place informed bets on where to invest, what topics to publish on etc. While I have a decent idea of where the industry is heading and what data professionals are looking forward to learn and why etc, it is high time I walked in their shoes for a couple of reasons. Basically, I want to understand the reason behind Data Science being the ‘Sexiest job of the 21st century’, and if the role is really worth all the fame and fortune. In the process, I also wanted to explore the underlying difficulties, challenges and obstacles that every data scientist has had to endure at some point in his/her journey, or still does, maybe. The cherry on top, is that I get to use the skills I develop, to supercharge my success in my current role that is primarily insight-driven. This is the first of a series of posts on how I got started with Data Science. Today, I’m sharing my experience with devising a learning path and then gathering appropriate learning resources. Devising a learning path To understand the concepts of data science, I had to research a lot. There are tons and tons of resources out there, many of which are very good. Once you seperate the good from the rest, it can be quite intimidating to pick the options that suit you the best. Some of the primary questions that clouded my mind were: What should be my programming language of choice? R or Python? Or something else? What tools and frameworks do I need to learn? What about the statistics and mathematical aspects of machine learning? How essential are they? Two videos really helped me find the answers to the questions above: If you don’t want to spend a lot of your time mastering the art of data science, there’s a beautiful video on how to become a data scientist in six months What are the questions asked in a data science interview? What are the in-demand skills that you need to master in order to get a data science job? This video on 5 Tips For Getting a Data Science Job really is helpful. After a lot of research that included reading countless articles and blogs and discussions with experts, here is my learning plan: Learn Python Per the recently conducted Stack Overflow Developer Survey 2018, Python stood out as the most-wanted programming language, meaning the developers who do not use it yet want to learn it the most. As one of the most widely used general-purpose programming languages, Python finds large applications when it comes to data science. Naturally, you get attracted to the best option available, and Python was the one for me. The major reasons why I chose to learn Python over the other programming languages: Very easy to learn: Python is one of the easiest programming languages to learn. Not only is the syntax clean and easy to understand, even the most complex of data science tasks can be done in a few lines of Python code. Efficient libraries for Data Science: Python has a vast array of libraries suited for various data science tasks, from scraping data to visualizing and manipulating it. NumPy, SciPy, pandas, matplotlib, Seaborn are some of the libraries worth mentioning here. Python has terrific libraries for machine learning: Learning a framework or a library which makes machine learning easier to perform is very important. Python has libraries such as scikit-learn and Tensorflow that makes machine learning easier and a fun-to-do activity. To make the most of these libraries, it is important to understand the fundamentals of Python. My colleague and good friend Aaron has put out a list of top 7 Python programming books which helped as a brilliant starting point to understand the different resources out there to learn Python. The one book that stood out for me was Learn Python Programming – Second Edition – This is a very good book to start Python programming from scratch. There is also a neat skill-map present on Mapt, where you can progressively build up your knowledge of Python – right from the absolute basics to the most complex concepts. Another handy resource to learn the A-Z of Python is Complete Python Masterclass. This is a slightly long course, but it will take you from the absolute fundamentals to the most advanced aspects of Python programming. Task Status: Ongoing Learn the fundamentals of data manipulation After learning the fundamentals of Python programming, the plan is to head straight to the Python-based libraries for data manipulation, analysis and visualization. Some of the major ones are what we already discussed above, and the plan to learn them is in the following order: NumPy – Used primarily for numerical computing pandas – One of the most popular Python packages for data manipulation and analysis matplotlib – The go-to Python library for data visualization, rivaling the likes of R’s ggplot2 Seaborn – A data visualization library that runs on top of matplotlib used for creating visually appealing charts, plots and histograms Some very good resources to learn about all these libraries: Python Data Analysis Python for Data Science and Machine Learning – This is a very good course with a detailed coverage on the machine learning concepts. Something to learn later. The aim is to learn these libraries upto a fairly intermediate level, and be able to manipulate, analyze and visualize any kind of data, including missing, unstructured data and time-series data. Understand the fundamentals of statistics, linear algebra and probability In order to take a step further and enter into the foray of machine learning, the general consensus is to first understand the maths and statistics behind the concepts of machine learning. Implementing them in Python is relatively easier once you get the math right, and that is what I plan to do. I shortlisted some very good resources for this as well: Statistics for Machine Learning Stanford University – Machine Learning Course at Coursera Task Status: Ongoing Learn Machine Learning (Sounds odd I know) After understanding the math behind machine learning, the next step is to learn how to perform predictive modeling using popular machine learning algorithms such as linear regression, logistic regression, clustering, and more. Using real-world datasets, the plan is to learn the art of building state-of-the-art machine learning models using Python’s very own scikit-learn library, as well as the popular Tensorflow package. To learn how to do this, the courses I mentioned above should come in handy: Stanford University – Machine Learning Course at Coursera Python for Data Science and Machine Learning Python Machine Learning, Second Edition Task Status: To be started During the course of this journey, websites like Stack Overflow and Stack Exchange will be my best friends, along with the popular resources such as YouTube. As I start this journey, I plan to share my experiences and knowledge with you all. Do you think the learning path looks good? Is there anything else that I should include in my learning path? I would really love to hear your comments, suggestions and experiences. Stay tuned for the next post where I seek answers to questions such as ‘How much of Python should I learn in order to be comfortable with Data Science?’, ‘How much time should I devote per day or week to learn the concepts in Data Science?’ and much more.. Read more Why is data science important? 9 Data Science Myths Debunked 30 common data science terms explained