#computer programming courses
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thegeorgetelegraph · 9 months ago
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Debugging Techniques: Finding and Fixing Errors: Computer Programming Certificate
In the world of computer programming, debugging is an essential skill that separates proficient coders from novices. Debugging is the process of identifying, isolating, and fixing errors or bugs in code. It ensures that software functions correctly and efficiently. At The George Telegraph Training Institute, our Computer Programming Certificate course equips students with robust debugging…
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wildglitch · 5 months ago
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Today I made a terrible decision!
I've decided to dedicate this summer (At least my nights) to learning coding.
This is a bad idea, wish me luck.
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ihavenomoralsss · 9 months ago
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Python is such a cool name for something that’s actually terrible and mean
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cyberstudious · 11 months ago
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what's it like studying CS?? im pretty confused if i should choose CS as my major xx
hi there!
first, two "misconceptions" or maybe somewhat surprising things that I think are worth mentioning:
there really isn't that much "math" in the calculus/arithmetic sense*. I mostly remember doing lots of proofs. don't let not being a math wiz stop you from majoring in CS if you like CS
you can get by with surprisingly little programming - yeah you'll have programming assignments, but a degree program will teach you the theory and concepts for the most part (this is where universities will differ on the scale of theory vs. practice, but you'll always get a mix of both and it's important to learn both!)
*: there are some sub-fields where you actually do a Lot of math - machine learning and graphics programming will have you doing a lot of linear algebra, and I'm sure that there are plenty more that I don't remember at the moment. the point is that 1) if you're a bit afraid of math that's fine, you can still thrive in a CS degree but 2) if you love math or are willing to be brave there are a lot of cool things you can do!
I think the best way to get a good sense of what a major is like is to check out a sample degree plan from a university you're considering! here are some of the basic kinds of classes you'd be taking:
basic programming courses: you'll knock these out in your first year - once you know how to code and you have an in-depth understanding of the concepts, you now have a mental framework for the rest of your degree. and also once you learn one programming language, it's pretty easy to pick up another one, and you'll probably work in a handful of different languages throughout your degree.
discrete math/math for computer science courses: more courses that you'll take early on - this is mostly logic and learning to write proofs, and towards the end it just kind of becomes a bunch of semi-related math concepts that are useful in computing & problem solving. oh also I had to take a stats for CS course & a linear algebra course. oh and also calculus but that was mostly a university core requirement thing, I literally never really used it in my CS classes lol
data structures & algorithms: these are the big boys. stacks, queues, linked lists, trees, graphs, sorting algorithms, more complicated algorithms… if you're interviewing for a programming job, they will ask you data structures & algorithms questions. also this is where you learn to write smart, efficient code and solve problems. also this is where you learn which problems are proven to be unsolvable (or at least unsolvable in a reasonable amount of time) so you don't waste your time lol
courses on specific topics: operating systems, Linux/UNIX, circuits, databases, compilers, software engineering/design patterns, automata theory… some of these will be required, and then you'll get to pick some depending on what your interests are! I took cybersecurity-related courses but there really are so many different options!
In general I think CS is a really cool major that you can do a lot with. I realize this was pretty vague, so if you have any more questions feel free to send them my way! also I'm happy to talk more about specific classes/topics or if you just want an answer to "wtf is automata theory" lol
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codingcorgi · 1 year ago
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Days 110 to 118 of coding everyday for a year and I've gotten so much done!
I finish both of my finals the C++ and the C#. The C++ final is an adventure game and it wasn't too challenging to make honestly I had fun with it. The C# project was also fun because I got to play with microcharts when creating the statistics page to display collected data! I plan to make the C++ game more fun honestly because I can't just let it die from here. I am going to make the Android and iOS build better on the C# project. I'm really proud of myself today :)
My next adventures will be brushing up on JavaScript since I'm severely out of practice and using what I know to make my portfolio website using Blazor!
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aidenwaites · 2 months ago
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Started a course I found for learning programming earlier and did you guys know. It's all math
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thegeorgetelegraph · 2 years ago
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Why Is C And C++ Important For Our Programming Languages?
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dramas-vs-novels · 3 months ago
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... mu university would have to pull weapons on a professor to get them to teach on a Saturday.
#also I went to a top school and yet never felt like i was drowned in coursework the way these characters are#i never pulled an all-nighter#slept in comfortably most days except for my stupid 7am calculus course#the only project I ever stressed on was my final for advanced featurewriting#i knew from the start it would be an intense revision of the 2nd script draft so i just never stopped lightly renovating it on my own#it would have been a completely breezy final with only a little work to be added after the final scripting session#but the scripting program glitched out#and neither the saved copy nor my backup were clean because it glitched as it was updating saves and corrupted both#so I spent 5 hours having to retype 137 pages of script from scratch on 2 separate computers to ensure it couldnt happen again#thank god i had written all updates on a previous draft so it was mainly transcription#now I save all files in multiple locations and close each program fully after each individual save so multiple files cannot corrupt#but that was a freak incident not a standard working situation#to be fair to my classmates though i had a general habit of looking ahead on archived previous coursework from the last semester#printed out the rubric information and project details on what they had to do#and worked ahead when I had free time so that I had extra time on every assignment#pro tip if you try that- go back at least 5 years bc professors swap stuff around to keep it fresh#and then at most i needed to do small tweaks here and there to meet the new standards#so i was never fully caught by a project and time crunched#love director#paint
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occasionaltouhou · 2 years ago
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what kind of OS does the typical shikigami run on? personally ran gives me big linux vibes, possibly arch.
i know nothing about computers or programming. shikigami operate by suppressing a core soul's nature via a large number of nameless spirits (yukari uses vengeful spirits, but any kind will do) with specific instructions, information, instincts, etc. which are forcibly conglomerated together to create a new entity, which is the shikigami.
any attempt to directly rather than merely metaphorically compare the construction of shikigami to the human programming of machines that do not think for themselves is ultimately futile. although they are both highly complicated tools used to perform calculations and tasks faster than a human would be able to - or at the very least tasks they are unwilling to spend the time on - their fundamental natures are completely different.
i wrote this, with my words, in the thing that i wrote.
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rohinicomputercourses · 4 months ago
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This blog will outline the main advantages of acquiring simple computer skills and explain how they might assist you in life both personally and professionally if you are asking yourself.
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thedrotter · 7 months ago
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we're taking a break from my usual posting so i can show you the goofy images ive created as college assignments for illustrator. my teacher's mistake was letting me have free reign this is how we ended up here (funny enough they still got accepted)
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izicodes · 2 years ago
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Personal Plans on Udemy? | Resources ✨
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I was thinking about Udemy because I haven't visited the site in months. When I logged back in, I noticed a new feature called "Personal Plan" on the homepage. As a web developer, I naturally clicked on the corresponding section and found something interesting~!!!
You can have access to all the listed courses and more for only £15 per month - however it is billed yearly (I hate when they do that...)! I thought, "Oh, that's great!" But, since I'm currently not employed and not earning any income, I don't think I'll enroll just yet. Hopefully, I'll be able to do it in the future!
There are other sections too like Data Science and Ethical Hacking, and even non-tech subjects too!
Link to the Web Developer section link
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⤷ ♡ my shop ○ my mini website ○ pinned ○ navigation ♡
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education43 · 9 months ago
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What Are the Qualifications for a Data Scientist?
In today's data-driven world, the role of a data scientist has become one of the most coveted career paths. With businesses relying on data for decision-making, understanding customer behavior, and improving products, the demand for skilled professionals who can analyze, interpret, and extract value from data is at an all-time high. If you're wondering what qualifications are needed to become a successful data scientist, how DataCouncil can help you get there, and why a data science course in Pune is a great option, this blog has the answers.
The Key Qualifications for a Data Scientist
To succeed as a data scientist, a mix of technical skills, education, and hands-on experience is essential. Here are the core qualifications required:
1. Educational Background
A strong foundation in mathematics, statistics, or computer science is typically expected. Most data scientists hold at least a bachelor’s degree in one of these fields, with many pursuing higher education such as a master's or a Ph.D. A data science course in Pune with DataCouncil can bridge this gap, offering the academic and practical knowledge required for a strong start in the industry.
2. Proficiency in Programming Languages
Programming is at the heart of data science. You need to be comfortable with languages like Python, R, and SQL, which are widely used for data analysis, machine learning, and database management. A comprehensive data science course in Pune will teach these programming skills from scratch, ensuring you become proficient in coding for data science tasks.
3. Understanding of Machine Learning
Data scientists must have a solid grasp of machine learning techniques and algorithms such as regression, clustering, and decision trees. By enrolling in a DataCouncil course, you'll learn how to implement machine learning models to analyze data and make predictions, an essential qualification for landing a data science job.
4. Data Wrangling Skills
Raw data is often messy and unstructured, and a good data scientist needs to be adept at cleaning and processing data before it can be analyzed. DataCouncil's data science course in Pune includes practical training in tools like Pandas and Numpy for effective data wrangling, helping you develop a strong skill set in this critical area.
5. Statistical Knowledge
Statistical analysis forms the backbone of data science. Knowledge of probability, hypothesis testing, and statistical modeling allows data scientists to draw meaningful insights from data. A structured data science course in Pune offers the theoretical and practical aspects of statistics required to excel.
6. Communication and Data Visualization Skills
Being able to explain your findings in a clear and concise manner is crucial. Data scientists often need to communicate with non-technical stakeholders, making tools like Tableau, Power BI, and Matplotlib essential for creating insightful visualizations. DataCouncil’s data science course in Pune includes modules on data visualization, which can help you present data in a way that’s easy to understand.
7. Domain Knowledge
Apart from technical skills, understanding the industry you work in is a major asset. Whether it’s healthcare, finance, or e-commerce, knowing how data applies within your industry will set you apart from the competition. DataCouncil's data science course in Pune is designed to offer case studies from multiple industries, helping students gain domain-specific insights.
Why Choose DataCouncil for a Data Science Course in Pune?
If you're looking to build a successful career as a data scientist, enrolling in a data science course in Pune with DataCouncil can be your first step toward reaching your goals. Here’s why DataCouncil is the ideal choice:
Comprehensive Curriculum: The course covers everything from the basics of data science to advanced machine learning techniques.
Hands-On Projects: You'll work on real-world projects that mimic the challenges faced by data scientists in various industries.
Experienced Faculty: Learn from industry professionals who have years of experience in data science and analytics.
100% Placement Support: DataCouncil provides job assistance to help you land a data science job in Pune or anywhere else, making it a great investment in your future.
Flexible Learning Options: With both weekday and weekend batches, DataCouncil ensures that you can learn at your own pace without compromising your current commitments.
Conclusion
Becoming a data scientist requires a combination of technical expertise, analytical skills, and industry knowledge. By enrolling in a data science course in Pune with DataCouncil, you can gain all the qualifications you need to thrive in this exciting field. Whether you're a fresher looking to start your career or a professional wanting to upskill, this course will equip you with the knowledge, skills, and practical experience to succeed as a data scientist.
Explore DataCouncil’s offerings today and take the first step toward unlocking a rewarding career in data science! Looking for the best data science course in Pune? DataCouncil offers comprehensive data science classes in Pune, designed to equip you with the skills to excel in this booming field. Our data science course in Pune covers everything from data analysis to machine learning, with competitive data science course fees in Pune. We provide job-oriented programs, making us the best institute for data science in Pune with placement support. Explore online data science training in Pune and take your career to new heights!
#In today's data-driven world#the role of a data scientist has become one of the most coveted career paths. With businesses relying on data for decision-making#understanding customer behavior#and improving products#the demand for skilled professionals who can analyze#interpret#and extract value from data is at an all-time high. If you're wondering what qualifications are needed to become a successful data scientis#how DataCouncil can help you get there#and why a data science course in Pune is a great option#this blog has the answers.#The Key Qualifications for a Data Scientist#To succeed as a data scientist#a mix of technical skills#education#and hands-on experience is essential. Here are the core qualifications required:#1. Educational Background#A strong foundation in mathematics#statistics#or computer science is typically expected. Most data scientists hold at least a bachelor’s degree in one of these fields#with many pursuing higher education such as a master's or a Ph.D. A data science course in Pune with DataCouncil can bridge this gap#offering the academic and practical knowledge required for a strong start in the industry.#2. Proficiency in Programming Languages#Programming is at the heart of data science. You need to be comfortable with languages like Python#R#and SQL#which are widely used for data analysis#machine learning#and database management. A comprehensive data science course in Pune will teach these programming skills from scratch#ensuring you become proficient in coding for data science tasks.#3. Understanding of Machine Learning
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small-basic-programming · 7 months ago
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Small Basic meets Python, #29 Map, Filter, Reduce ...
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Post #241: YouTube, Socratica, Python Tutorial, #29 Map, Filter And Reduce Functions, 2024.
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shouldprobablybereading · 8 months ago
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Just sat through a 2 hour introduction lecture that could literally have been an email
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krnetwork · 8 months ago
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Unlock the Power of Python Programming: A Complete Guide
Python programming has become one of the most sought-after skills in the world of technology. Its simplicity, flexibility, and vast ecosystem of libraries make it a top choice for both beginners and experienced developers. In this guide, we will explore various aspects of Python programming, from basic concepts to advanced applications like machine learning and web development.
Python Programming: A Beginner-Friendly Language
Python programming is renowned for its readability and straightforward syntax, making it ideal for beginners. Whether you are just starting to code or transitioning from another language, Python offers a smooth learning curve. Key Python programming concepts include variables, data types, and control structures, which are essential for writing functional code.
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Python Data Structures: Organizing Data Efficiently
One of the core strengths of Python programming is its rich set of data structures. Lists, dictionaries, tuples, and sets help you store and manage data effectively. Understanding Python data structures allows you to create more efficient programs by organizing and manipulating data effortlessly.
Functions in Python Programming: Building Reusable Code
Functions are a fundamental part of Python programming. They allow you to break down complex problems into smaller, reusable chunks of code. Python functions not only promote code reusability but also make your programs more organized and easier to maintain.
Loops in Python Programming: Automating Repeated Tasks
Loops are an essential feature in Python programming, allowing you to perform repeated operations efficiently. With Python loops such as for and while, you can iterate over sequences or perform tasks until a specific condition is met. Mastering loops is a key part of becoming proficient in Python.
Object-Oriented Programming in Python: Structured Development
Python programming supports object-oriented programming (OOP), a paradigm that helps you build structured and scalable software. OOP in Python allows you to work with classes and objects, making it easier to model real-world scenarios and design complex systems in a manageable way.
Python Automation Scripts: Simplify Everyday Tasks
Python programming can be used to automate repetitive tasks, saving you time and effort. Python automation scripts can help with file management, web scraping, and even interacting with APIs. With Python libraries like os and shutil, automation becomes a breeze.
Python Web Development: Creating Dynamic Websites
Python programming is also a popular choice for web development. Frameworks like Django and Flask make it easy to build robust, scalable web applications. Whether you're developing a personal blog or an enterprise-level platform, Python web development empowers you to create dynamic and responsive websites.
APIs and Python Programming: Connecting Services
Python programming allows seamless integration with external services through APIs. Using libraries like requests, you can easily interact with third-party services, retrieve data, or send requests. This makes Python an excellent choice for building applications that rely on external data or services.
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Error Handling in Python Programming: Writing Resilient Code
Python programming ensures that your code can handle unexpected issues using error handling mechanisms. With try-except blocks, you can manage errors gracefully and prevent your programs from crashing. Error handling is a critical aspect of writing robust and reliable Python code.
Python for Machine Learning: Leading the AI Revolution
Python programming plays a pivotal role in machine learning, thanks to powerful libraries like scikit-learn, TensorFlow, and PyTorch. With Python, you can build predictive models, analyze data, and develop intelligent systems. Machine learning with Python opens doors to exciting opportunities in artificial intelligence and data-driven decision-making.
Python Data Science: Turning Data Into Insights
Python programming is widely used in data science for tasks such as data analysis, visualization, and statistical modeling. Libraries like pandas, NumPy, and Matplotlib provide Python programmers with powerful tools to manipulate data and extract meaningful insights. Python data science skills are highly in demand across industries.
Python Libraries Overview: Tools for Every Task
One of the greatest advantages of Python programming is its extensive library support. Whether you're working on web development, automation, data science, or machine learning, Python has a library for almost every need. Exploring Python libraries like BeautifulSoup, NumPy, and Flask can significantly boost your productivity.
Python GUI Development: Building User Interfaces
Python programming isn't just limited to back-end or web development. With tools like Tkinter and PyQt, Python programmers can develop graphical user interfaces (GUIs) for desktop applications. Python GUI development allows you to create user-friendly software with visual elements like buttons, text fields, and images.
Conclusion: Python Programming for Every Developer
Python programming is a versatile and powerful language that can be applied in various domains, from web development and automation to machine learning and data science. Its simplicity, combined with its extensive libraries, makes it a must-learn language for developers at all levels. Whether you're new to programming or looking to advance your skills, Python offers endless possibilities.
At KR Network Cloud, we provide expert-led training to help you master Python programming and unlock your potential. Start your Python programming journey today and take the first step toward a successful career in tech!
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