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Category: "Python"

Python

  1. From Pandas to PySpark DataFrame
    From Pandas to PySpark DataFrame
    A Quick Reference Guide to Pyspark DataFrame API for Experienced Pandas User
    MrDataPsycho

    You already know Pandas? But it is not enough, for your big data analysis? This book will help you to get started quickly with PySpark DataFrame API if you already know Pandas.

  2. Python od podstaw
    Python od podstaw
    zacznij swoją przygodę z programowaniem
    Marcin Moskała

    Książka pomagająca wejść w świat programowania od języka Python. Zachęca i pokazuje jak uczyć się skutecznie.

  3. The little book of Kubernetes Operators
    The little book of Kubernetes Operators
    Learn how to write a Kubernetes Operator from scratch using Go Language and Python.
    Oz Tiram

    Whether you know Go or not, if you use Kubernetes, you can extend it to automate all sort of administrative tasks. This book is going to take you from zero knowledge to building a basic operator in BASH shell, rewriting it Go and giving you enough material to extend Kubernetes using Python too!

  4. Create GUI Applications with Python & Qt6 (5th Edition, PyQt6)
    Create GUI Applications with Python & Qt6 (5th Edition, PyQt6)
    The hands-on guide to building desktop apps with Python.
    Martin Fitzpatrick

    The hands-on guide to building desktop apps with Python and Qt.

  5. Automating and Provisioning to Amazon AWS using boto3 SDK for Python 3
    Automating and Provisioning to Amazon AWS using boto3 SDK for Python 3
    Code written for boto3 Python3 SDK v.1.20
    Carles Mateo

    Deploy to Amazon AWS with Python boto3 SDK (EC2, EBS, VPC, S3, CloudWatch, DynamoDB and Ansible deployment to Amazon AWS covered)

  6. Learn Python with Jupyter

    More about the book at www.learnpythonwithjupyter.com

  7. Matplotlib for Storytellers
    Matplotlib for Storytellers
    Python Data Visualization
    Alexander Clark
    No Description Available
  8. Deep Learning in Production
    Deep Learning in Production
    Sergios Karagiannakos

    Build, train, deploy, scale and maintain deep learning models. Understand ML infrastructure and MLOps using hands-on examples.

  9. Tango With Django 4
    Tango With Django 4
    A beginner's guide to web development with Django 4
    Leif Azzopardi and David Maxwell

    If you want to learn how to use Django to build web applications, then Tango with Django provides an all round end-to-end guide for beginners. Eleven chapters are now available at a lower introductory price to get you started on creating apps in Django!

  10. Docker Combat Guide (2022)
    Docker Combat Guide (2022)
    The Docker Guide for Software Developers
    Carles Mateo

    Docker and Docker Python 3 SDK through practical examples for Software Developers

  11. Operations Cookbook: DevOps, DataOps and MLOps
    Operations Cookbook: DevOps, DataOps and MLOps
    Learn to operationalize data, machine learning and software
    Noah Gift, Alfredo Deza, and Kennedy Behrman

    Learn the foundations of data engineering with Bash, Git, and Python techniques.

  12. PowerShell & Python on AWS
    PowerShell & Python on AWS
    Learn How to use PowerShell and Python on AWS
    Rahul Sawant

    Learn How to use PowerShell and Python on AWS

  13. Python Programming from Beginner to Paid Professional Part 1
    Python Programming from Beginner to Paid Professional Part 1
    Learn Python for Automation & IT with Video Tutorials
    Bolakale Aremu

    This is not just another Python programming book. It is an intensive and practical Python programming course. This course has 6 modules spread out over 25 chapters of both rich text and visual tutorials. You’re not in this alone. I’m going to help you through it.

  14. 入門 日本語自然言語処理
    入門 日本語自然言語処理
    Masato Hagiwara and Paul O'Leary McCann

    日本語テキストを処理したい全てのプログラマ・エンジニアの方へ。分かち書きなどの基本から、自然言語生成などの最新の話題までをカバー。動かして学べるコードや、参照文献も付いています。言語学や機械学習の知識が無くても問題ありません。

  15. Introduction to Japanese Natural Language Processing
    Introduction to Japanese Natural Language Processing
    Masato Hagiwara and Paul O'Leary McCann

    A thorough guide for programmers working with Japanese text, covering fundamental issues like tokenization and recent research topics like generating natural language texts. Working examples are accompanied by extensive reference to allow problem solving even without a background in Japanese or Machine Learning.