Programming
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New answer posted
5 months agoContributor-Level 10
A strong hold over programming languages is very important to excel in the practical world of deep learning for the implementation and deployment of Deep Learning models. Python is one such important language to gain mastery over because of its libraries and frameworks like TensorFlow and PyTorch. Programming languages are important for working with artificial neural networks and understanding underlying codes to effectively make sense of complex data.
New answer posted
5 months agoContributor-Level 10
Some of the top career opportunities in the field of C+ language in various industries include game development, system/software engineering, embedded systems, financial services, and real-time simulation applications. Advanced C+ skills are also in demand in high-performance computing and competitive programming.
New answer posted
5 months agoContributor-Level 10
Some of the most important advanced level concepts in C+ programming language courses are as follows-
- Advanced Template
- Metaprogramming
- Move Semantics
- Lambda Expressions and Functional Programming
- Concurrency and Parallelism
- Custom Memory Management
- Compiler intrinsic
- Design Patterns and Architecture
- Optimizing for Low-Latency and Real-Time Systems
- Modular Programming
- Advanced I/O and Networking
New answer posted
5 months agoContributor-Level 10
Both of the languages - C+ and Java are object-oriented languages, on one hand C+ is known for providing more control over system resources and hardware due to its low-level capabilities. Java, on the other hand, runs on a virtual machine which provides platform independence at the expense of direct hardware interaction.
New answer posted
5 months agoContributor-Level 10
In Python, "branching" refers to the action of executing blocks of code based on whether certain conditions are met or not. This allows programs to take decisions and respond dynamically to various inputs or states.
Python contains only one kind of branch, the 'if' statement. If the predicate given is true, it executes a block of code and not execute it if the predicate is false.
New answer posted
5 months agoContributor-Level 10
After completing the Python course, one can acquire the skills of data science, web applications, and rapid application development. The main Python subjects are -
Python fundamentals and programming: It comprises functions, conditional execution, and loops, strings, lists and tuples, scopes and namespaces, modules, dictionaries, and sets
Intermediate Python: It includes file handling, object-oriented programming, iterators, generators, decorators, and lambda expressions.
Advanced Python subjects comprise C code in Python, writing library, closure, method chaining, function factory, building framework, Python in C#, Python in Java,
New answer posted
5 months agoContributor-Level 10
Key Concepts in Python
Below are the essential concepts that you must know while learning Python.
| Key Concepts | Description |
|---|---|
| Variables | Store data values in the program. |
| Data Types | Built-in types of data like numbers, strings, lists, etc. |
| Operators | Special symbols in Python that carry out arithmetic or logical computation. |
| Conditional Statements | These are decision-making structures used to execute code based on certain conditions. |
| Loops | Control structures are used to repeat a block of code a certain number of times or until a certain condition is met. |
| Functions | A block of code that can be called multiple times in a program. |
| Classes and Objects | Classes are templates for creating objects, which are instances of a class. |
| Exception Handling | A mechanism to handle errors and exceptions that may occur in a program. |
| Modules and Packages | A way to organize code into reusable and separate units. |
New answer posted
5 months agoContributor-Level 10
Well, yes. A strong hold over programming languages is very important for data engineers because they are involved in building data pipelines, working with complex datasets, and data cleaning, processing and automation tasks. None of this is possible without mastery in programming languages like Java, Python, Scala, etc., which are important for strategic and scalable business solutions.
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