Dev with Serdar

Learn coding in Python, Go and Rust from Serdar Yegulalp, software dev specialist and senior writer at InfoWorld.

Ep.59

Numba: Faster numerical code in Python made simple

The Numba library for Python makes numerical code faster by way of a just-in-time compiler, as an alternative (or complement) to NumPy and Cython. Often all you need to make existing code faster is a single line of code, with Numba's just-in-time compiler handling most of the work.

Ep.59

Jun 3, 2021 5 mins

Dev with Serdar

Numba: Faster numerical code in Python made simple

Using the goto keyword | Smart Go

What's new in Python 3.10: Pattern matching, better syntax errors, and more

Using the switch/case syntax | Smart Go

Building a toy social network with Python, Part 6: Using the decorator pattern to clean up code

Using the for loop construction | Smart Go

Building a toy social network with Python, Part 5: Deleting posts

How to use the map variable type | Smart Go

Building a toy social network with Python, Part 4: Making and displaying replies

Smart Go: Using the short-form assignment syntax

Building a toy social network with Python, Part 3: Logins and user tokens

Using panic and recover for error handling | Smart Go

Smart Go: Marshaling JSON in Go with structs

Building a toy social network with Python, Part 2: The web interface

Variable formatting with the fmt package | Smart Go

Building a toy social network with Python, Part 1: The database

Smart Go: Goroutines and channels

Using a database ORM in Python

Smart Go: Arrays and slices

Python and the SQLite database: An introduction

Smart Go: Go's base variable types

Exploring Python's bytecode cache files

NumPy, the Python library for faster math and data science apps

Introduction to Go packages

Using memoization in Python

Pyston, an alternate runtime for Python

Smart Go: Introduction to the Go language

Python 32- and 64-bit editions: What's the difference and why does it matter?

Python 3.9: What's new in the latest version of Python

Python's disassembler: How to inspect Python bytecode

Python for loop: How to easily iterate over collections of items

Python lists: Sorting lists, either in-place or by creating new lists

Python lists: Slicing, or obtaining portions of lists from lists

Python lists: The basics of a common way to store groups of objects in Python

How to use Python decorators to modify functions with other functions, simplifying complex code

How Python's context managers help you clean up after yourself

Using Python object properties to write smarter and more concise code

Unleashing the power of Python dictionaries: The basics

Using Python dataclasses to simplify managing class objects

Using f-strings in Python to format output

Using Poetry to manage Python projects

Using Pipenv to manage Python virtual environments and packages

Using Python asynchronously

How-to use PyInstaller to create stand-alone Python programs

Using multiprocessing to speed up Python programs

Using "cProfile" to analyze Python code performance

Using the "py" launcher with Python on Windows

Using the "black" code formatter in Python

Creating a simple website with the Django framework

Using Cython to speed up Python

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