Python

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Hire Python developers with backgrounds creating Python libraries, with SQL, Power BI and Plotly Dash experience and proficient in Swift or Kotlin and/or KMM. Find Python WFH freelancers on January 21, 2025 who work remotely. Read less

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What are the critical facts about learning to code with Python?

1. Python Is Easy to Learn
Syntax: Python has a straightforward, readable syntax that resembles English, making it an excellent language for beginners. It uses indentation to define code blocks, reducing syntax errors.

2. Versatile
Applications: Python can be used for web development, data analysis, artificial intelligence, machine learning, automation, scientific computations, and more. This versatility makes it a valuable skill across various industries.

3. High-Level Language
Abstraction: Python abstracts many low-level details, allowing developers to focus on logic rather than memory management or system architecture.

4. Interpreted Language
Execution: Python code is executed line by line by an interpreter, which means you can run Python scripts without compiling them first. This supports rapid prototyping and testing.

5. Dynamic Typing
Types: Variables in Python don’t need explicit type declarations; their type is determined at runtime. This can make coding quicker but requires awareness to avoid type-related errors.

6. Large Standard Library
Built-in Tools: Python comes with a comprehensive standard library ("batteries included" philosophy), reducing the need for external libraries for common tasks.

7. Cross-Platform
Compatibility: Python is available on multiple platforms including Windows, macOS, Linux, and even mobile platforms, ensuring your code can run on different systems with minimal changes.

8. Strong Community and Ecosystem
Support: Python has a vast, supportive community. This means there are numerous resources, tutorials, and libraries available, like NumPy, Pandas, Django, Flask, etc.

9. Open Source
Community Involvement: Python is open-source, meaning anyone can contribute to its development, which drives continuous improvement and innovation.

10. Python Enhancement Proposals (PEPs)
Standardization: PEPs guide Python's development, including style guidelines (PEP 8) and major features, ensuring consistency and quality across Python projects.

11. Interactive Shell
REPL: Python's interactive mode (REPL - Read-Eval-Print Loop) allows you to write Python code and see results instantly, which is perfect for learning and debugging.

12. Object-Oriented and Functional
Paradigms: Supports both object-oriented and functional programming paradigms, giving developers flexibility in how they approach problems.

13. Packages and Modules
Modularity: Python's module system allows for code organization, reuse, and sharing. pip, Python's package installer, makes it easy to install third-party libraries.

14. Error Handling
Try-Except: Python has a straightforward way to handle exceptions, teaching new developers about error management early on.

15. Memory Management
Garbage Collection: Python automatically manages memory through a garbage collector, simplifying memory management for beginners.

16. Data Structures
Built-ins: Python includes built-in data structures like lists, dictionaries, sets, and tuples, which are intuitive and easy to use for beginners.

17. Python 2 vs. Python 3
Versions: Python 3 is the current version; Python 2 is no longer maintained. New developers should start with Python 3 for future-proofing their code.

18. Integrated Development Environments (IDEs)
Tools: There are many IDEs like PyCharm, VSCode with Python extensions, or simpler environments like IDLE, which cater to different levels of Python developers.

19. Scripting and Automation
Simplicity: Python's simplicity makes it excellent for scripting and automating repetitive tasks, a great way for beginners to see immediate results from their code.

20. Extensibility
C Extensions: For performance-critical sections, Python can interact with C libraries, allowing for the optimization of code where necessary.

For new developers, Python's balance of ease of use with powerful capabilities makes it an ideal first programming language. It encourages good coding practices, offers immediate feedback, and opens doors to numerous fields of computing and technology.

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