DSA-Python
I am a data engineer who is responsible for designing, building, maintaining, and testing the infrastructure and systems that are used to store, process, and analyze data. I work closely with data scientists and analysts to ensure that the data pipelines and systems are able to support the data needs of an organization.
I have a strong background in computer science and software engineering, and skilled in programming languages such as Python, Java, and SQL also familiar with database systems and big data technologies like Hadoop, Spark, and NoSQL databases.
Some of my key responsibilities as a data engineer:
Designing and building data pipelines to extract, transform, and load data from various sources Setting up and maintaining data storage and processing systems, including data warehouses and data lakes Collaborating with data scientists and analysts to understand their data needs and ensure that the data infrastructure can support their requirements Performing data quality checks and troubleshooting any issues that arise Implementing security and privacy measures to protect sensitive data
DSA-Python
We are going to see Data Structures and Algorithms parallel and I will use Python language for code implementations.
Algorithms:
A sequence of finite steps to perform some tasks.
Example : Multiplications of two numbers
Properties of Algorithms:
- It should terminate after finite amount of times.
- Produce at-least one output
- Independent of any programming languages.
- The output should be deterministic
Steps to construct an Algorithm:
- Problem definition
- Design a Algorithm
- Divide and Conquer
- Greedy Algorithm
- Dynamic Programming and many more
- Draw a flow chart
- Testing Phase
- Implementation
- Analysis
while(True):
print("DSA using Python")
The above code is not a valid algorithm why because there is no termination in the code. Lets discuss each topics one by one.
