How to respond when asked about your weaknesses during an interview?
๐กSample answer: โฌ๏ธ
I struggled with time management and procrastination in my last role because I was taking on too many tasks at once. To improve, I started using a daily planner to schedule priorities and block off time for deep work. This helps me stay focused and meet deadlines. Being proactive about managing my time has really helped me become more productive. ๐ช
๐กSample answer: โฌ๏ธ
I struggled with time management and procrastination in my last role because I was taking on too many tasks at once. To improve, I started using a daily planner to schedule priorities and block off time for deep work. This helps me stay focused and meet deadlines. Being proactive about managing my time has really helped me become more productive. ๐ช
4 LIFE - CHANGING IDEAS THAT WE SHOULD ALL KNOW ABOUT โฌ๏ธ
1. Murphy's Law: Anything that can go wrong, will go wrong.
2. Kridlin's Law: If you write a problem clearly and specifically, you have solved half of it.
3. Wilson's Law: If you prioritize knowledge and intelligence, money will continue to come.
4. Falkland's Law: If you donโt have to make a decision about something, then donโt decide.
P.S. What principles guide your approach to life and business?
Let me know in the comments!
1. Murphy's Law: Anything that can go wrong, will go wrong.
2. Kridlin's Law: If you write a problem clearly and specifically, you have solved half of it.
3. Wilson's Law: If you prioritize knowledge and intelligence, money will continue to come.
4. Falkland's Law: If you donโt have to make a decision about something, then donโt decide.
P.S. What principles guide your approach to life and business?
Let me know in the comments!
โณ๏ธSQL CLAUSES:
SQL clause helps us to retrieve a set or bundles of records from the table.
SQL clause helps us to specify a condition on the columns or the records of a table.
There are generally five kinds of SQL Clauses . They are listed as follows:
1-WHERE Clause
2-ORDER BY clause
3-HAVING Clause
4-TOP Clause
5-GROUP BY Clause
1. SQL WHERE Clause:
we use the SQL SELECT statement to select data from a table in the database. Here, the WHERE clause allows filtering certain records that exactly match a specified condition. Thus, it helps us to fetch only the necessary data from the database that satisfies the given expressional conditions. The WHERE clause is used with SELECT statement as well as with UPDATE, DELETE type statements and aggregate functions to restrict the no. of records to be retrieved by the table. We can also use logical or comparison operators such as LIKE,<,>,=, etc. with WHERE clause to fulfill certain conditions.
Query:
SELECT BookName, Price, Lang From Books WHERE CatID >1;
2. SQL ORDER BY Clause:
The ORDER BY clause is used in SQL for sorting records. It is used to arrange the result set either in ascending or descending order. When we query using SELECT statement the result is not in an ordered form. Hence, the result rows can be sorted when we combine the SELECT statement with the ORDER BY clause.
Query:
SELECT BookName, Price From Books ORDER BY Price ASC;
3. SQL GROUP BY Clause:
The GROUP BY clause is used to group rows that have the same values in the result set. Like if we find the names of books from the table grouped by CatID.
Query:
SELECT COUNT(BookName), CatID From Books GROUP BY CatID;
This clause is generally used with aggregate functions that allow grouping the query result rows by multiple columns. The aggregate functions are COUNT, MAX, MIN, SUM, AVG, etc.
4. SQL HAVING Clause:
Actually, this clause is introduced to apply functions in the query with the WHERE clause. In SQL, the HAVING clause was added because the WHERE clause could not be applied with aggregate functions.
Query:
SELECT COUNT (CatID), Lang From Books GROUP BY Lang HAVING COUNT(CATID) <3;
5. SQL TOP Clause:
The TOP clause is used to determine the number of record rows to be shown in the result. This TOP clause is used with SELECT statement specially implemented on large tables with many records. But the clause is not supported in many database systems, like MySQL supports the LIMIT clause to select limited no. of rows and in Oracle ROWNUM is used.
Query:
SELECT TOP 3 * FROM Books;
SELECT * FROM Books LIMIT 3;
SELECT * FROM Books WHERE ROWNUM <= 3;
SQL clause helps us to retrieve a set or bundles of records from the table.
SQL clause helps us to specify a condition on the columns or the records of a table.
There are generally five kinds of SQL Clauses . They are listed as follows:
1-WHERE Clause
2-ORDER BY clause
3-HAVING Clause
4-TOP Clause
5-GROUP BY Clause
1. SQL WHERE Clause:
we use the SQL SELECT statement to select data from a table in the database. Here, the WHERE clause allows filtering certain records that exactly match a specified condition. Thus, it helps us to fetch only the necessary data from the database that satisfies the given expressional conditions. The WHERE clause is used with SELECT statement as well as with UPDATE, DELETE type statements and aggregate functions to restrict the no. of records to be retrieved by the table. We can also use logical or comparison operators such as LIKE,<,>,=, etc. with WHERE clause to fulfill certain conditions.
Query:
SELECT BookName, Price, Lang From Books WHERE CatID >1;
2. SQL ORDER BY Clause:
The ORDER BY clause is used in SQL for sorting records. It is used to arrange the result set either in ascending or descending order. When we query using SELECT statement the result is not in an ordered form. Hence, the result rows can be sorted when we combine the SELECT statement with the ORDER BY clause.
Query:
SELECT BookName, Price From Books ORDER BY Price ASC;
3. SQL GROUP BY Clause:
The GROUP BY clause is used to group rows that have the same values in the result set. Like if we find the names of books from the table grouped by CatID.
Query:
SELECT COUNT(BookName), CatID From Books GROUP BY CatID;
This clause is generally used with aggregate functions that allow grouping the query result rows by multiple columns. The aggregate functions are COUNT, MAX, MIN, SUM, AVG, etc.
4. SQL HAVING Clause:
Actually, this clause is introduced to apply functions in the query with the WHERE clause. In SQL, the HAVING clause was added because the WHERE clause could not be applied with aggregate functions.
Query:
SELECT COUNT (CatID), Lang From Books GROUP BY Lang HAVING COUNT(CATID) <3;
5. SQL TOP Clause:
The TOP clause is used to determine the number of record rows to be shown in the result. This TOP clause is used with SELECT statement specially implemented on large tables with many records. But the clause is not supported in many database systems, like MySQL supports the LIMIT clause to select limited no. of rows and in Oracle ROWNUM is used.
Query:
SELECT TOP 3 * FROM Books;
SELECT * FROM Books LIMIT 3;
SELECT * FROM Books WHERE ROWNUM <= 3;
๐1
๐ฅ๐๐๐๐๐๐๐ ๐๐๐๐๐๐๐๐๐๐ ๐๐๐๐๐๐๐๐๐๐ ๐๐๐๐๐๐๐๐๐๐๐
Excited to share this handy cheatsheet on Sorting Algorithms' Time Complexity! ๐ Whether you're a coding enthusiast or a tech professional, understanding sorting algorithms' efficiency is key.โก๏ธ Here's a quick reference guide to help you navigate through different algorithms and their time complexitie.๐
๐ Here's a detailed cheatsheet to help you grasp the time complexities of various sorting algorithms:
๐ ๐๐๐ฏ๐ฏ๐น๐ฒ ๐ฆ๐ผ๐ฟ๐ ๐ซง
๐นBest Case: O(n)
๐นAverage Case: O(n^2)
๐นWorst Case: O(n^2)
๐ ๐๐ป๐๐ฒ๐ฟ๐๐ถ๐ผ๐ป ๐ฆ๐ผ๐ฟ๐ ๐ฅ
๐นBest Case: O(n)
๐นAverage Case: O(n^2)
๐นWorst Case: O(n^2)
๐ ๐ฆ๐ฒ๐น๐ฒ๐ฐ๐๐ถ๐ผ๐ป ๐ฆ๐ผ๐ฟ๐ โ
๐นBest Case: O(n^2)
๐นAverage Case: O(n^2)
๐นWorst Case: O(n^2)
๐ ๐ ๐ฒ๐ฟ๐ด๐ฒ ๐ฆ๐ผ๐ฟ๐ ๐ค
๐นBest Case: O(n log n)
๐นAverage Case: O(n log n)
๐นWorst Case: O(n log n)
๐ ๐ค๐๐ถ๐ฐ๐ธ ๐ฆ๐ผ๐ฟ๐ โก๏ธ
๐นBest Case: O(n log n)
๐นAverage Case: O(n log n)
๐นWorst Case: O(n^2)
๐ ๐๐ฒ๐ฎ๐ฝ ๐ฆ๐ผ๐ฟ๐ ๐
๐นBest Case: O(n log n)
๐นAverage Case: O(n log n)
๐นWorst Case: O(n log n)
๐ ๐ฅ๐ฎ๐ฑ๐ถ๐ ๐ฆ๐ผ๐ฟ๐ ๐ซ
๐นBest Case: O(nk)
๐นAverage Case: O(nk)
๐นWorst Case: O(nk)
๐ ๐๐ผ๐๐ป๐๐ถ๐ป๐ด ๐ฆ๐ผ๐ฟ๐ ๐
๐นBest Case: O(n + k)
๐นAverage Case: O(n + k)
๐นWorst Case: O(n + k)
๐ ๐๐๐ฐ๐ธ๐ฒ๐ ๐ฆ๐ผ๐ฟ๐ ๐ชฃ
๐นBest Case: O(n + k)
๐นAverage Case: O(n + k)
๐นWorst Case: O(n^2)
๐ ๐๐ผ๐๐ป๐๐ถ๐ป๐ด ๐ฆ๐ผ๐ฟ๐ ๐
๐นBest Case: O(n + k)
๐นAverage Case: O(n + k)
๐นWorst Case: O(n + k)
๐Remember, each algorithm has its strengths and weaknesses. Depending on the size of your data and the specific use case, you can choose the most suitable sorting algorithm to ensure efficient code execution.๐ซ
Excited to share this handy cheatsheet on Sorting Algorithms' Time Complexity! ๐ Whether you're a coding enthusiast or a tech professional, understanding sorting algorithms' efficiency is key.โก๏ธ Here's a quick reference guide to help you navigate through different algorithms and their time complexitie.๐
๐ Here's a detailed cheatsheet to help you grasp the time complexities of various sorting algorithms:
๐ ๐๐๐ฏ๐ฏ๐น๐ฒ ๐ฆ๐ผ๐ฟ๐ ๐ซง
๐นBest Case: O(n)
๐นAverage Case: O(n^2)
๐นWorst Case: O(n^2)
๐ ๐๐ป๐๐ฒ๐ฟ๐๐ถ๐ผ๐ป ๐ฆ๐ผ๐ฟ๐ ๐ฅ
๐นBest Case: O(n)
๐นAverage Case: O(n^2)
๐นWorst Case: O(n^2)
๐ ๐ฆ๐ฒ๐น๐ฒ๐ฐ๐๐ถ๐ผ๐ป ๐ฆ๐ผ๐ฟ๐ โ
๐นBest Case: O(n^2)
๐นAverage Case: O(n^2)
๐นWorst Case: O(n^2)
๐ ๐ ๐ฒ๐ฟ๐ด๐ฒ ๐ฆ๐ผ๐ฟ๐ ๐ค
๐นBest Case: O(n log n)
๐นAverage Case: O(n log n)
๐นWorst Case: O(n log n)
๐ ๐ค๐๐ถ๐ฐ๐ธ ๐ฆ๐ผ๐ฟ๐ โก๏ธ
๐นBest Case: O(n log n)
๐นAverage Case: O(n log n)
๐นWorst Case: O(n^2)
๐ ๐๐ฒ๐ฎ๐ฝ ๐ฆ๐ผ๐ฟ๐ ๐
๐นBest Case: O(n log n)
๐นAverage Case: O(n log n)
๐นWorst Case: O(n log n)
๐ ๐ฅ๐ฎ๐ฑ๐ถ๐ ๐ฆ๐ผ๐ฟ๐ ๐ซ
๐นBest Case: O(nk)
๐นAverage Case: O(nk)
๐นWorst Case: O(nk)
๐ ๐๐ผ๐๐ป๐๐ถ๐ป๐ด ๐ฆ๐ผ๐ฟ๐ ๐
๐นBest Case: O(n + k)
๐นAverage Case: O(n + k)
๐นWorst Case: O(n + k)
๐ ๐๐๐ฐ๐ธ๐ฒ๐ ๐ฆ๐ผ๐ฟ๐ ๐ชฃ
๐นBest Case: O(n + k)
๐นAverage Case: O(n + k)
๐นWorst Case: O(n^2)
๐ ๐๐ผ๐๐ป๐๐ถ๐ป๐ด ๐ฆ๐ผ๐ฟ๐ ๐
๐นBest Case: O(n + k)
๐นAverage Case: O(n + k)
๐นWorst Case: O(n + k)
๐Remember, each algorithm has its strengths and weaknesses. Depending on the size of your data and the specific use case, you can choose the most suitable sorting algorithm to ensure efficient code execution.๐ซ
๐What is Database Management System?
Data:
"Collection of quantitative and qualitative variables is known as data".
Type of Data:
1-Raw Data
2-Processed data(Information)
๐What is DBMS?
DBMS consist of two parts
1-Data base
2-Management System.
Database is a collection of interrelated files and the basic management operations are
Searching,
Addition,
Deletion,
Updation,
A DBMS consist of collection of related data and a set of programs to access and manipulate those data.
"The database management system is a general purpose software system that facilitates the process of defining, constructing, manipulating and sharing database among, various user and application".
The primary objective of DBMS is to provides an environment that is convenient and efficient to use in retrieving and storing data in database. The DBMS should use minimum set of computing resources to provides maximum throughout.
Basic terminology of DBMS .
๐ฅField:
"fields are in the form of rows".
๐ฅRecords:
"Data organized in meaningful way to known as Records".
๐ฅFile:
"Collection of similar records is known as file".
๐ฅDatabase:
"collection of interrelated files is called database".
following are basic facilities provided by DBMS.
โกcreation,
โกinsertion,
โกdeletion,
โกmodification and
โกretrieval,
โกprotecting of data and โกmaintaining integrity,
โกreport generation,
โกmathematical operation.
Subscribe my channel
๐@CoderBaba
https://www.youtube.com/coderbaba
Data:
"Collection of quantitative and qualitative variables is known as data".
Type of Data:
1-Raw Data
2-Processed data(Information)
๐What is DBMS?
DBMS consist of two parts
1-Data base
2-Management System.
Database is a collection of interrelated files and the basic management operations are
Searching,
Addition,
Deletion,
Updation,
A DBMS consist of collection of related data and a set of programs to access and manipulate those data.
"The database management system is a general purpose software system that facilitates the process of defining, constructing, manipulating and sharing database among, various user and application".
The primary objective of DBMS is to provides an environment that is convenient and efficient to use in retrieving and storing data in database. The DBMS should use minimum set of computing resources to provides maximum throughout.
Basic terminology of DBMS .
๐ฅField:
"fields are in the form of rows".
๐ฅRecords:
"Data organized in meaningful way to known as Records".
๐ฅFile:
"Collection of similar records is known as file".
๐ฅDatabase:
"collection of interrelated files is called database".
following are basic facilities provided by DBMS.
โกcreation,
โกinsertion,
โกdeletion,
โกmodification and
โกretrieval,
โกprotecting of data and โกmaintaining integrity,
โกreport generation,
โกmathematical operation.
Subscribe my channel
๐@CoderBaba
https://www.youtube.com/coderbaba