#csv course

[pharmaconnections]

Pharma Courses Online - Pharma Connections

Unlock your potential in Pharma with Pharma Connections' online courses! Dive into essential topics like CSV, CDM, QMS, and Pharmacovigilance to stay ahead in the dynamic life sciences sector. Enroll now for expert-led training and accelerate your career.

[companysconnectsin]

MES System

Explore our comprehensive MES system, designed to streamline manufacturing processes and enhance production efficiency. Our MES courses cover key aspects of this essential Manufacturing Execution System, providing in-depth knowledge and practical skills for a competitive edge in your industry. Enroll today to master MES.

Get more details at: www.companysconnects.com/manufaturing-execution-system-mes

[skillbeesolution]

SAP S4 Training

Empower your professional journey with SAP S4 Training. Dive into a transformative learning experience, blending theory and practical application. Acquire proficiency in SAP's revolutionary ERP suite, positioning yourself as a sought-after expert in the ever-evolving realm of enterprise solutions.

Read More at: www.skillbee.co.in/certificatation-course-on-sap-s4-hana

[oidheadh-con-culainn]

with memrise winding down their community courses and becoming less viable to use for custom vocab lists, does anyone have any recs for vocab learning/practice apps that allow you to input your own vocab (not just learning from pre-existing lists)?

in particular, an app that will let me input lists from csv files/spreadsheets since that's what i'm extracting my custom memrise lists into

ideally with a low level of gamification -- streaks, points etc. not so much that it overwhelms the language learning side (cf. duolingo), just enough to motivate me to use it consistently

ability to save lists to offline to practise without an internet connection a bonus but not 100% essential. minimal ads/cheap ad-free paid tier preferred.

[augerer]

@girderednerve replied to your post coming out on tumblr as someone whose taught "AI bootcamp" courses to middle school students AMA:

did they like it? what kinds of durable skills did you want them to walk away with? do you feel bullish on "AI"?

It was an extracurricular thing so the students were quite self-selecting and all were already interested in the topic or in doing well in the class. Probably what most interested me about the demographic of students taking the courses (they were online) was the number who were international students outside of the imperial core probably eventually looking to go abroad for college, like watching/participating in the cogs of brain drain.

I'm sure my perspective is influenced because my background is in statistics and not computer science. But I hope that they walked away with a greater understanding and familiarity with data and basic statistical concepts. Things like sample bias, types of data (categorical/quantitative/qualitative), correlation (and correlation not being causation), ways to plot and examine data. Lots of students weren't familiar before we started the course with like, what a csv file is/tabular data in general. I also tried to really emphasize that data doesn't appear in a vacuum and might not represent an "absolute truth" about the world and there are many many ways that data can become biased especially when its on topics where people's existing demographic biases are already influencing reality.

Maybe a bit tangential but there was a part of the course material that was teaching logistic regression using the example of lead pipes in flint, like, can you believe the water in this town was undrinkable until it got Fixed using the power of AI to Predict Where The Lead Pipes Would Be? it was definitely a trip to ask my students if they'd heard of the flint water crisis and none of them had. also obviously it was a trip for the course material to present the flint water crisis as something that got "fixed by AI". added in extra information for my students like, by the way this is actually still happening and was a major protest event especially due to the socioeconomic and racial demographics of flint.

Aside from that, python is a really useful general programming language so if any of the students go on to do any more CS stuff which is probably a decent chunk of them I'd hope that their coding problemsolving skills and familiarity with it would be improved.

do i feel bullish on "AI"? broad question. . . once again remember my disclaimer bias statement on how i have a stats degree but i definitely came away from after teaching classes on it feeling that a lot of machine learning is like if you repackaged statistics and replaced the theoretical/scientific aspects where you confirm that a certain model is appropriate for the data and test to see if it meets your assumptions with computational power via mass guessing and seeing if your mass guessing was accurate or not lol. as i mentioned in my tags i also really don't think things like linear regression which were getting taught as "AI" should be considered "ML" or "AI" anyways, but the larger issue there is that "AI" is a buzzy catchword that can really mean anything. i definitely think relatedly that there will be a bit of an AI bubble in that people are randomly applying AI to tasks that have no business getting done that way and they will eventually reap the pointlessness of these projects.

besides that though, i'm pretty frustrated with a lot of AI hysteria which assumes that anything that is labeled as "AI" must be evil/useless/bad and also which lacks any actual labor-based understanding of the evils of capitalism. . . like AI (as badly formed as I feel the term is) isn't just people writing chatGPT essays or whatever, it's also used for i.e. lots of cutting edge medical research. if insanely we are going to include "linear regression" as an AI thing that's probably half of social science research too. i occasionally use copilot or an LLM for my work which is in public health data affiliated with a university. last week i got driven batty by a post that was like conspiratorially speculating "spotify must have used AI for wrapped this year and thats why its so bad and also why it took a second longer to load, that was the ai generating everything behind the scenes." im saying this as someone who doesnt use spotify, 1) the ship on spotify using algorithms sailed like a decade ago, how do you think your weekly mixes are made? 2) like truly what is the alternative did you think that previously a guy from minnesota was doing your spotify wrapped for you ahead of time by hand like a fucking christmas elf and loading it personally into your account the night before so it would be ready for you? of course it did turned out that spotify had major layoffs so i think the culprit here is really understaffing.

like not to say that AI like can't have a deleterious effect on workers, like i literally know people who were fired through the logic that AI could be used to obviate their jobs. which usually turned out not to be true, but hasn't the goal of stretching more productivity from a single worker whether its effective or not been a central axiom of the capitalist project this whole time? i just don't think that this is spiritually different from retail ceos discovering that they could chronically understaff all of their stores.

[wilderun]

Not the anon, but could you elaborate upon what you said about your WDs being further removed from wild wolves than some purebred dog breeds are?

Yeah sure thing.

Fur farms in North America had trapped wolves in the previous decades and bred them for a few generations in captivity for furs to sell since that was easier than running a trap line. In the 60's and 70's, some of these fur farms realized it was a better investment to sell wolf pups for $500 on the bottle rather than wolf pelts for $500 after raising them for a year or two. So those captive bred lines of wolves entered private ownership, where they were crossed to other lines of wolves from zoos, game farms, etc, as well as to dogs and to existing old time wolfdog lines to create new lines.

Dog breeds like West Siberian Laika have had wolf outcrossing in the registered breed population in the late 70's thru a facility that outcrossed them to a wolf from recent wild stock that was in a zoo. As well as landrace dogs who were registered as new lines and had wolf outcrossing behind them, in more recent decades. For these landrace dogs in particular, the wolf outcrossing comes from wild wolves, not captive breeding, and was done more recently than any wild wolf admixture behind my dog by several decades.

The CSV and Saarloos both come from wolf x GSD crossing to create a new breed, and the wolf stock, to my knowledge, was zoo wolves but from relatively recently wild caught lines. The last wolf used as foundation stock/outcross for CSV was in 1983, but most were in the 1950's and 1960's. Zoo stock, but wild caught ancestors in the last few generations of most of those wolves.

And then some of the traditionally kept LGD breeds in places like the Caucus Mountains still experience introgression to this day from wild wolf x dog breedings. A study done 9 years ago found something like 10% of the sampled dogs had wolf genetic markers and about 3% were F1 wild wolf x dog crosses. These LGD breeds have a registration process for these landrace dogs to contribute to the registered breed population so some of the wolf outcrossing is within the breed as a whole now. Again, more recently than the last wild wolf in my wolfdog's line.

Of course there have been a few cases where wild stock has introgressed into a few particular wolfdog lines thru den robbed pups etc, but 1. Illegal and 2. Doesn't tend to produce ideal temperament that people are looking for, so it's really not done and 3. Even those handful of wild wolves are still decades back in most cases.

[cyberhippieblog]

Course: Data Analysis with Python - freeCodeCamp

Over the past few months, I have been searching for free courses in the field of data analysis and data science, and have discovered a multitude of online resources, among them FreeCodeCamp.

For the next few weeks, I will be posting my learnings from the Data Analysis with Python course. I decided to take inspiration from the content of @xiacodes .

I'll do my best to post something every day, but I can't promise anything for sure. Fingers crossed for me!

The course aims to provide an introduction to data analysis with Python, specifically through the exploration of key libraries such as Numpy, Pandas, Matplotlib, and Seaborn. Students will also learn how to read and save data from various sources, such as CSV files and SQL, while utilizing Jupyter Notebook as the development environment.

Five hands-on projects are included at the end of the course:

Mean-Variance-Standard Deviation Calculator

Demographic Data Analyze

Medical Data Visualizer

Page View Time Series Visualizer

Sea Level Predictor

PS.: As English is not my native language, please let me know if you see any mistakes in my posts so that I can correct them.

[codingcorgi]

Overview of My Experience With my Java Project

I have done my course on Java this semester, and at the end we turn in a project we make that is of our choosing. I made a shopping helper application that tracks spending habits and how your recent shopping trips went. It's useful for keeping track of inflation too hehe.

I used an API to fetch the local area tax rate based on US ZIP codes (sorry to everyone outside the US). I also used GSON to write JSON files to save progress, because sometimes we all have to step away right? It also saves the receipt as a .txt or .csv file.

It's in total 3282 lines of code and the sale types was the worst part giving so many errors due to my dumb ass not knowing how to do math, but other than that I honestly just hate UI with a passion, so that wasn't fun.

Overall despite my initial hatred of Java, I think I can safely say while it is annoying, I will probably be okay working with it again. I don't love it or hate it.

Now next semester is when I'll shine. C# should be a breeze, and hopefully I'll learn something new. HTML/CSS should be okay although I'm debating switching it out for .net (don't ask why C# and .net are in 2 different classes, idk either). C++ with Unreal engine will be the scary one for me since I've heard horror stories about C++.

On a small note I hope we use C# 12 and if I do .net I hope it's .net 8

[nosuchfuture]

Collected on Tezos (shown on Deca), June 2023

Collected on Tezoz, June 2023 (on deca.art)

I remain an avid collector of Tezos NFTs, and sometimes I like to put together galleries on deca.art. But June gave me a problem of scale: I collected ~95 pieces, thanks to a few events that month, including the Generative Architecture show at Verse.

Deca's search mechanism can be finicky, to make sure I included all the pieces I would need a worksheet. I extracted my collecting history from the chain using the TezTok GraphQL API, converted to a CSV sheet and set about getting through it.

It took quite a while, having to search for the occasional smart contract address and of course add all the names. The option to create galleries based on CSV files would be amazing, but it's probably not a feature thousands of users would ask for.

But it's nice to be able to browse work you collected, even in a minimal context like Deca. Let's call it salon style in a browser..

[pharmaconnections01]

Testimonials - Pharma Connections

At Pharma Connections, we're committed to reimagining career growth by nurturing and building future-ready professionals. Explore genuine testimonials from our satisfied customers who have experienced our Clinical Trials Research and CSV courses online, designed to elevate your career in the pharmaceutical industry.

[companysconnectsin]

The Ultimate Guide to SAP MES Implementation

SAP Manufacturing Execution System (MES) is the foundational piece for the modern manufacturing process. It comes with a range of tools that streamline such operations, boosting their overall efficiency. However, the implementation of SAP MES is not a simple task. It requires meticulous planning, strategic execution, and dedicated post-implementation support to ensure seamless integration and maximum benefit realization. This guide will navigate through the key steps involved in SAP MES implementation, from the initial stages of pre-implementation preparation to the crucial post-implementation support phase.

Understanding SAP MES

SAP MES is a comprehensive software solution that empowers organizations with real-time visibility and control over manufacturing operations. By integrating with existing ERP systems and shop floor equipment, SAP MES facilitates the management of production orders, materials, resources, and quality control processes. This holistic approach enables manufacturers to optimize production processes, reduce costs, and enhance product quality, ultimately driving business success. Such achievements in the field can only be achieved through a valid MES certificate.

Your Go-to Guide to SAP MES Implementation

When it comes to SAP MES system implementation, it is common to lose track of the various steps involved in the process. Here is how this works in real-time:

Pre-Implementation Preparation

The journey towards SAP MES implementation begins with thorough pre-implementation preparation during the SAP manufacturing execution training. This phase involves assessing current business processes, identifying pain points, and defining clear project objectives and success criteria. Engaging key stakeholders from across the organization early in the process is essential to ensure alignment with strategic goals and secure buy-in for the project.

Planning for Implementation

Once project objectives are defined, the next step is to develop a comprehensive implementation plan. This plan should outline the project scope, timelines, resource requirements, and deliverables in detail. Collaborating with cross-functional teams representing various departments, including production, IT, quality, and operations, is crucial to ensure a holistic approach to implementation and address diverse business needs.

Execution Of SAP MES Implementation

With the implementation plan in place, the focus of the SAP MES training shifts to executing the project according to the defined timelines and milestones. This involves configuring the SAP MES system to align with specific business requirements, integrating with existing systems, and conducting thorough user acceptance testing to validate system functionality and performance. Effective change management practices, including training and communication initiatives, are vital to ensure smooth adoption by end-users.

Monitoring And Evaluation

Throughout the implementation process, continuous monitoring and evaluation are paramount to track progress, identify potential issues, and make timely adjustments as needed. Regular project status meetings, progress reports, and key performance indicators (KPIs) help keep stakeholders informed and engaged, while proactive risk management ensures potential risks are identified and mitigated promptly.

Post-implementation Support

Even after successful implementation, ongoing support and maintenance are critical to sustain the effectiveness of SAP MES. This includes providing training and support to end-users, addressing any post-implementation issues or enhancements, and continuously optimizing system performance based on feedback and lessons learned. Regular performance reviews and audits help identify areas for improvement and drive continuous innovation and refinement.

Conclusion

SAP MES implementation is a multifaceted endeavor that requires careful planning, strategic execution, and continuous improvement efforts. By following a structured approach, involving key stakeholders, and leveraging best practices, organizations can successfully deploy SAP MES. Experience the best manufacturing execution system course online with Company Connect Consultancy, which is the premier destination for expert certifications.

[skillbeesolution]

Computer System Validation Training

Unlock precision and compliance in your IT systems with our Computer System Validation Training. Equip your team with the skills needed to ensure seamless operations and regulatory adherence in the pharmaceutical industry. Elevate your validation expertise today.

Read More: https://www.skillbee.co.in/courses/certificate-in-computer-system-validation/

[miisinternational]

Manage Email List Aweber 

AWeber is an email marketing software that allows businesses and individuals to create and manage email lists, design and send emails, and track email performance. Managing an email list in AWeber involves several key steps, including:

Creating a new email list: AWeber allows you to create multiple email lists, each with its own set of subscribers. You can create a new list by navigating to the "List Options" menu and selecting "Create a List."

Adding subscribers: You can add subscribers to your email list by importing a CSV file of contacts, copying and pasting email addresses, or by integrating with other tools such as landing pages or web forms. AWeber also allows you to segment your email list based on various criteria, such as subscriber location, interests, or behavior.

Managing subscribers: AWeber provides a range of tools to help you manage your email list and keep your subscribers engaged. For example, you can create automated email sequences, set up RSS-to-email campaigns, or create one-time broadcasts.

Designing and sending emails: AWeber includes a drag-and-drop email editor that allows you to create and design professional-looking emails without needing any coding or design skills. You can also use pre-built templates or create your own custom templates.

Tracking email performance: AWeber provides detailed analytics that allow you to track email performance, including open rates, click-through rates, and conversion rates. You can use this information to optimize your email campaigns and improve engagement.

Overall, managing an email list in AWeber involves creating and organizing a list of subscribers, creating engaging email content, and using analytics to track and optimize your email performance. By following best practices and using the tools and features available in AWeber, you can create successful email campaigns that drive engagement and revenue for your business.

⚡️Manage Email List Aweber Advance Course⚡️For 2023

[letstalkwithani]

Data Management And Visualization - 3/5

I have faced a few problems with this dataset because the dataset that was provided to me, had many blank cells and when I was using the .csv files, I tried dataframe.dtypes() which told me that, all columns are in object form.

But, as we are aware that to have an analysis of this data, we need it in int64 or float form. So, I tried using .to_numerical and astype() funtions but none of them worked.

Because pd.to_numerical can't parse the string. To do that, I used astype("string").astype(int64) but that raised an error as "base 10: "----"' which was basically about all those blank spaces in the .csv file. Now, I was upset and called a few of my friends, Eeman told me that I could use the on_bad_line= function available inside the read_csv file. after using this and a few others, I got to know there are no bad values. Now, comes Rahul Bhaiya's chance, which made me observe that all those blank cells are "String".....

that's why pd.to_numerical and astype("string").astype(int64) weren't working. Hooooo !! So, what to do now?

Somehow, Pushpendra came with ._convert and it worked but how ? You can convert everything which incomprehensible or comprehensible to string, Float, Int, and all. Now, another research of mine is here, I searched about the ._convert, so it's better version is pandas.DataFrame.convert_objects, but it is deprecated and

pandas.to_datetime

.pandas.to_timedelta

.pandas.to_numeric

it has been broken into these three functions, Duh !! It was,t working.

So, I thought there has to be some other function, and well, when I was compiling my thoughts here, I got to know about

pandas.DataFrame.convert_dtypes

Definitely, go read about it, this function is a much better version of ._convert and can understand all those columns' data and change it to respective datatype

[dngrcpckwithmurdericing]

i reblogged this, but also i want to be clear: i do in fact work in a slow paced environment that is mostly consistent. i work 7.5 hours every day (and frankly i usually only spend about 3 hours working, unless i have a lot of meetings). 3-5 times a year i have to work late or go in on a saturday for an event, but i know about those times months in advance and can plan around them.

if you're looking for this, think about getting into fundraising or grant-writing for nonprofits. the bigger the nonprofit, the bigger the team you work with, the slower and more consistent your days will be. (the smaller the nonprofit, the smaller the margin you're working with, so the more stress you'll be under to bring in money.)

usually when i recommend this job to folks, their first response is to tell me they don't like to make phone calls. my guy, neither do i. and if i make two phone calls a week, that's a heavy week for me. last year i had a day during which i had to make 25 phone calls and not a single person answered the call or called me back. i still raised millions of dollars for my organization.

don't like to ask people for money? no problem. major gift officers or chief development officers make the direct asks. grant writers do not. mid-level fundraisers usually do not. you write the emails, find the pictures to illustrate your direct mail, and organize the database.

love data? there are tons of places looking for folks who know how to use Excel/Google Sheets and can process data, and help draw conclusions from the patterns of giving. (let me tell you something: if you can figure out how to upload shit to a database using a CSV, you are 200% ahead of the majority of people i've worked with in the past decade.)

like databases? nonprofits love databases, work with just a few across the whole industry, and always need people who know how to use them or can learn. many nonprofits have a person whose specialty it is to run the database - not the backend, but to run the output for the fundraising officers.

like numbers? finance departments at nonprofits always need people and at the places i've worked, only 1/4 - 1/2 the folks in a finance department are accountants. and when people think of accountants, they usually think of a CPA, but there are so many other jobs someone with a degree in accounting or bookkeeping experience can get, and again if you can use Excel and navigate a database, you have a leg up.

(don't come here and tell me that of course all accountants can use Excel. I spent several years working with a finance department that not only was full of people who could not use excel, but they were furious when i introduced multiple Excel spreadsheets to development's finance processes, and would often refuse to open them, work with them, even just look at them. they also could not use our Salesforce iteration and insisted on using a microsoft access product that had not been updated since 1996. seriously, i wish i were joking, but 1996. when told she would be forced to abandon her 1996 access database for salesforce, the woman who ran the department quit. she quit rather than use salesforce.)

anyway, yeah, look into working for a nonprofit. idealist.org is a decent place to start, to get an idea of what's out there. your favorite nonprofit probably has a careers page, too. don't forget to check glassdoor for reviews, though, because some places are extremely toxic. good luck.

every employer is like "do you want to work in a fast-paced environment? with flexible hours?" where are the slow pace environments with consistency instead

[greydiminishing]

1/15 journal

Day 2 of trying to journal consistently. I only have 2 classes today, psych and music theory. No work today. I have plans to hang with a friend later, but she's helping her neighbors move so might have to reschedule, which I an A OK with. (its not that i dont wanna hang out, i just prefer being alone in my room to literally almost anything and everything else. Its a problem.)

I got to mentally absorb the way each of my courses functions, but I didn't finish writing down all my assignments and due dates. I don't think I have anything due today, but I'll have to check before I leave for class.

I need a way to visually see the days of the week that I have stuff due. I think it might be every day 😭😭😭 that's what I get for taking intro courses. I've tried doing it as events on Google calender but it was ugly and too busy looking. I've looked into notion, but I like using Google calender for my schedule and trello for my to do lists, I don't want to have to use another platform.

What I'm currently trying to do is collect all my assignments and due dates into a csv file and convert that into an excel sheet. Then I can use the excel file to turn each assignment into an item (card) on my trello to do list.

I've had a project in mind for a while where I want to make my own visual assignment tracker, maybe I'll do that and have a project to add to my resume.

Otherwise, I'm gonna look into how I can integrate my trello lists into Google calender. I want something like the Google task function on Google calender, where you can drag and drop list items. Maybe I'd have to go the route of integrating trello with Google tasks?

~~~~

I'm all done with my classes now, and nothing to do (nothing manditory, at least) for the rest of the day until I go hang out with my friend. I have a problem where I use down time like this to do.. nothing. Not things I want to do, not things I need to do, pretty much just sitting around, scrolling, maybe snacking, and just generally being stressed that I'm not being productive. I think I can solve that by time blocking, but my other issue is figuring out what tasks take priority.

I think once I get my assignments and due dates in order, prioritizing will be easier