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In PYTHON + SQL Master Program, you are going to Learn Many things

  • Core Python
  • Adv. Python
  • SQL
  • Real-Time Scenarios
  • Real-Time Projects
  • Softcopy Material
  • Mock Interviews
  • Resume Preparation Support
  • Interview Preparation
  • Interview Cracking Tips
  • FAQ'S
  • 100% Placement Assistance

Core Python

Python is an interpreted, high-level, general-purpose programming language that emphasizes code readability. It's a dynamically typed and garbage-collected language that supports structured, object-oriented, and functional programming.

What is core and advanced Python?

Python is a core programming language in the field of data analytics and data science. Performing statistical analysis and calculations, automating tasks, creating visual data models, building software, and developing machine learning algorithms are just a few of the many things engineers can use Python for.

Expertise in Core Python

This forms the stepping stone for becoming a Python developer, In order to become one you should have a good hold on the core Python concepts which include the following aspects: Data Structures. OOPs concepts. Variables and data types. File handling concepts.

Advanced Python
Aside from the Lambda functions, advanced Python skills include understanding iterators and generators and the zip function. Some of the other advanced Python skills that candidates of this level should demonstrate include sorting and map and filter functions.
Is Python an advanced language?
Python is an object-oriented, high-level programming language. Object-oriented means this language is based around objects (such as data) rather than functions, and high-level means it's easy for humans to understand.
Is it hard to learn advanced Python?
Python is widely considered among the easiest programming languages for beginners to learn. If you're interested in learning a programming language, Python is a good place to start. It's also one of the most widely used.

Can I use SQL in Python?

Data scientists use SQL in Python in a variety of instances, dictated by the use case at hand or by personal preference. SQL is primarily used for organizing data, especially in training queries, as well as for ad-hoc analysis of model results.

Why use Python for SQL?

Functionality. Python offers a broader range of functionality than SQL with its ecosystem of third-party libraries, making it applicable to many applications like Machine Learning, exploratory data analysis, and API development. For SQL, there are limited packages to help improve functionality.

Should I learn Python first or SQL?

SQL is certainly an easier language to learn than Python. It has a very basic syntax that has the sole purpose of communicating with relational databases. Since a great amount of data is stored in relational databases, retrieving data using SQL queries is often the first step in any data analysis project.


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