Introduction to Data Structures & Algorithms CodeWithHarry Course Introduction T

Introduction to Data Structures & Algorithms
CodeWithHarry
Course Introduction
This course is designed for placement preparation and will mainly cover data structures and algorithms using C and C++. Even if you do not know C++, you will still be able to follow along easily. The notes will be made available as a PDF in the description below.
Data Structures and Algorithms
Data structures are used to arrange data in main memory for efficient usage while algorithms are a sequence of steps to solve a given problem. In this course, we will cover arrays, linked lists, and graphs as examples of data structures and dive into solving problems using different algorithms.
Programming Languages
C and C++ will be the primary languages used in this course but Java can also be used to implement the algorithms. I do not recommend Python or JavaScript for beginners but rather suggest learning C to get a solid foundation in programming.
Conclusion
Learning data structures and algorithms is a responsibility and I will teach this course in a way that is easy to understand for beginners. Don’t worry if you make mistakes or have trouble at first, just follow along step by step and everything will become clear.
Data Structures & Algorithms for Placements
This course is primarily for those preparing for placements or job interviews.
Time is limited when preparing for placements, so this course is structured to value your time. A 15-hour video on C with notes is available on the channel, which will be covered first. If you’re an advanced Java user or can program algorithms in Python, then it’s possible to do so. However, it’s recommended to learn C and C++ first.
Data structure is an arrangement of data in main memory, which refers to RAM (Random Access Memory) of 2, 4, 8, 16, or 32 GB. The sequence of RAM usage is important when loading a program like “chrome.exe” for Windows. Fiddling with data occurs in main memory, which must be arranged optimally using data structures to minimize RAM usage.
The theory of databases is not covered in this course, but you should know their basic concepts. When opening a new tab, a large amount of data is stored in a database that must be retrieved and updated regularly. Data warehouses store data permanently for faster retrieval and updation for analysis purposes. Legacy data needs to be stored separately from the main system.
Sorting Algorithms
The example used here is sorting arrays in ascending or descending order. An algorithm is a series of steps to create a process. When sorting an array, steps must be taken to sort in ascending or descending order. The steps taken to sort an algorithm into an array define the algorithm.

Time Complexity and Big O Notation (with notes I have a story to share with you

Time Complexity and Big O Notation (with notes
I have a story to share with you all. One day, I was feeling extremely bored at home, and nothing seemed to interest me. I decided to call up my friend who lives 5km away from me. Let’s refer to my friend as X.
Shubham, okay. And this friend lives 5km away. Listen carefully. Now, what happened was, I was feeling really bored and needed some entertainment. This guy has amazing games like PUBG and GTA5. He has a collection of games and enjoys playing them a lot. You can get every type of game from him, but there is one problem:
He lives 5km away
I also use Jio. He also uses Jio. What does he use? He also uses Jio. We get 1Gb. We get just 1 Gb for one day. And we are not much into broadband internet. And with more internet, we can’t sell files and all. So if I have to take the game from him, So for me
Fastest Way to Obtain a Game
If you are looking to obtain a game quickly, perhaps from a friend, there are a few options to consider:
Ask your friend to share the game with you digitally
Borrow the physical copy of the game from your friend
Purchase the game online for immediate download
Ultimately, the choice will depend on your friend’s willingness to share or lend the game, as well as your own preference for digital or physical copies.
Copy the hard disk and transport it. To accomplish this, I will use my bike.
I am currently going through my bike. I plan to retrieve a game and indulge in it to satisfy my soul. However, you may be wondering why I am telling you this story. I simply want to inquire whether it is worth it for me to retrieve a game that is only 250kb in size. Do I really need to go to the owner’s house and bring it back on a hard disk? Please let me know.
Ways to Share Large Files
If you need to share a large file with someone, there are many options available:
Use Dropbox
Email it using Gmail’s Google Drive (which can handle up to 250kb)
Upload it to any file hosting service and share the link
These are just a few examples, but there are many other ways to share files with others. Don’t hesitate to try out different methods and find the one that works best for you!
Tell me one thing, if I ask you one question: What is the size?
When you need to change your way, to get the game, now look:
How did you acquire the 250kb game? You likely downloaded it from the internet because it was a small size and fast to download. However, what if you needed to download a 60 GB game? In this case, physical media may be the better choice. By visiting a store, you can quickly transfer the game to your hard disk without relying on a slow internet connection. It’s important to consider the size of the file and the speed of your internet when choosing how to obtain it.
It’s also worth noting that internet speeds can vary greatly depending on your location and service provider. If you only have a limited amount of data per day, downloading a large file like a 60 GB game may not be feasible without incurring extra charges or experiencing slow speeds. In this case, physical media may be the only option.

Excel Assignment Instructions for Use: You will create an Excel spreadsheet assi

Excel Assignment
Instructions for Use:
You will create an Excel spreadsheet assignment about food.
Each slide should contain the following information:
Food Name
Total Calories
Calories from fat
Cholesterol
Sodium
Carbohydrates (Carbs)
Protein
Open the assignment provided for you below to see specific directions for the assignment.
B. Due date: Sunday Nov. 20, 2022

Course Introduction This course is designed for placement preparation and will m

Course Introduction
This course is designed for placement preparation and will mainly cover data structures and algorithms using C and C++. Even if you do not know C++, you will still be able to follow along easily. The notes will be made available as a PDF in the description below.
Data Structures and Algorithms
Data structures are used to arrange data in main memory for efficient usage while algorithms are a sequence of steps to solve a given problem. In this course, we will cover arrays, linked lists, and graphs as examples of data structures and dive into solving problems using different algorithms.
Programming Languages
C and C++ will be the primary languages used in this course but Java can also be used to implement the algorithms. I do not recommend Python or JavaScript for beginners but rather suggest learning C to get a solid foundation in programming.
Conclusion
Learning data structures and algorithms is a responsibility and I will teach this course in a way that is easy to understand for beginners. Don’t worry if you make mistakes or have trouble at first, just follow along step by step and everything will become clear.

32 GB. The sequence of RAM usage is important when loading a program like “chrom

32 GB. The sequence of RAM usage is important when loading a program like “chrome.exe” for Windows. Fiddling with data occurs in main memory, which must be arranged optimally using data structures to minimize RAM usage.
The theory of databases is not covered in this course, but you should know their basic concepts. When opening a new tab, a large amount of data is stored in a database that must be retrieved and updated regularly. Data warehouses store data permanently for faster retrieval and updation for analysis purposes. Legacy data needs to be stored separately from the main system.
Sorting Algorithms
The example used here is sorting arrays in ascending or descending order. An algorithm is a series of steps to create a process. When sorting an array, steps must be taken to sort in ascending or descending order. The steps taken to sort an algorithm into an array define the algorithm.

1- The final exam consists of 20 questions, each is worth 1 point. A total of 20

1- The final exam consists of 20 questions, each is worth 1 point. A total of 20 points. Two students work together to solve the exam. If you don’t have a student to work with you, you can work individually.
2- Download the MS Word file “Final_Exam_Summer23.docx”. Type your name(s) in the exam’s MS word file.
3- Execute the provided script “JLDB_Build_Exam” before you start answering the exam questions.
4- Answer the questions. When finished, submit the file to D2L before the exam deadline.

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SearchSummarizeWhat is Data Science? | Free Data Science Course | Data Science for Beginners | codebasics
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What is Data Science?
Data science is the process of extracting insights from data using technology. It involves using advanced tools and programming languages such as Python and R to analyze big data, which is not feasible with traditional tools like Microsoft Excel. A typical data science project involves a business problem, data collection, data cleaning and exploration, building a model, and deploying the model to production.
Example: Restaurant Business
For instance, let’s consider a restaurant business with locations in New York and San Diego. The local managers send monthly sales data in an Excel file to the business owner. By plotting a side-by-side bar chart of the monthly sales numbers, the business owner can identify that the New York restaurant is not performing well during summer months. This visualization can help the owner make a business decision to run a special promotion during the summer in the New York restaurant.
Tools Used in Data Science
For data storage and distributed computing, data scientists use technologies like Apache Hadoop and Apache Spark. For visualization, they use tools like Tableau, Power BI, Matplotlib, and Jupiter Notebook. For deep learning, they might use Tensorflow, PyTorch, or Scikit-learn.
Real-Life Examples
Data science is used heavily in various industries, including:
Amazon: product recommendations and video recommendations
Healthcare: analyzing data from wearable devices to predict heart disease or respiratory problems
Finance: fraud detection using advanced algorithms
Shipping: finding the best route between two destinations
Join the Conversation
We want to hear your definition of data science! Post a comment below with your creative definition, and we might feature it in a future video. Also, check out our Calma campaign and fill out the Google form for a chance to win a phone call with us.
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