Discover the power of Python, a versatile and beginner-friendly programming language. Whether you’re a novice coder or experienced developer, find out recent development, resources and guides about Python.
Starburst unifies siloed data, simplifies AI workflows with Trino, and boosts LLM accuracy using RAG, governance, and open architecture.
Startups and tech giants across India are actively seeking Python and Java-proficient developers to drive their AI initiatives.
With Grok Studio, users can now generate and execute code, create documents and browser games, and even collaborate in real time through a dedicated content window.
The Starlark project seems like writing left-handed if you’re right-handed.
Conda hasn’t gathered enough widespread acclaim to make its use seem inevitable.
The platform has hosted 518 million projects, with a 25% year-over-year growth, leading to a total of 5.2 billion contributions to all projects on GitHub in 2024.
With the help of AI you can now learn coding
Python cannot handle two different versions of the same package which leads to “dependency hell”, causing entire installations to fail.
Bython is Python with braces because Python is awesome, but whitespace is awful.
Whether you’re a novice web developer or an experienced coder, a solid understanding of HTML remains crucial to building the foundation
The introduction of new and modern languages has made C++ superfluous. Its little use in AI research hasn’t helped either.
TORAX incorporates modular physics-based and machine-learning models, leveraging JAX for fast runtimes with JIT compilation and automatic differentiation, enabling gradient-based optimisation workflows, Jacobian-based PDE solvers, and coupling to machine-learning surrogate models of physics.
“Seems 100% true, Python is based and will be based.”
The evolution of PyPI’s security measures has the maintainers constantly keeping up to threats and scammers.
Created by Charlie Marsh, Ruff is also taking the Python community by storm with its speed and features.
It simplifies the creation of models that understand complex relationships within data, from social networks to logistics.
OCR tools enable LLMs to process and understand textual content from various sources
Python 3.13 adds a JIT compiler, enhancing performance by converting code to machine code at runtime, boosting the performance by 2-9%.
GPT-4 not just helps you code in Python but also teaches you Python coding
LLM360 releases Amber and CrystalCoder models that are built on Meta’s Llama architecture
It boasts an open-source programming model that seamlessly integrates quantum processor units (QPUs), GPUs, and CPUs.
Java has flexible capabilities, vast libraries, and with endorsements from major tech companies the language is gaining traction in Machine learning.
Python still remains a dominant force in AI development, with more than 275,495 companies using it.
Meta is back with Python-based auto-fixing linter Fixit 2 to help you write codes better, but is it better than Rust-based Ruff?
Just like C++ is considered a “dying language”, prompt engineering is regarded as a passing fad.
The library now includes a new method in TabularModel for enabling feature importance
Developers! You might have heard of “upskilling”, ever heard of “downskilling”?
ML Engineers have the know-how to deploy these models into production environments, ensuring their stability, scalability, and robustness.
Who knows? Mojo might be just another ‘Julia moment’ in the making, or might actually be the language of the future
JP Morgan & Chase, Bosch, PayPal, LSEG, PwC, Walmart are among the top companies seeking talented individuals to join their workforce
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