A Python Core Competency Checklist by John Raines via @Medium

Whether Python is your first language or your 10th, here’s a list of basic competencies which, once mastered, will take you far.

I found this really interesting and think it is useful to anyone who codes in Python no matter the level of your competency - in fact, a beginner could use it as a bit of a curriculum of what commands to look up and learn how to use.

WEBINAR: Unlocking Data Value Faster with a Modern Open Data Architecture - 20 January 2022

 

See Dremio Cloud in action and ask our product experts questions. Join Wednesdays at 10:00 AM PT. Register Here.           Unlocking Data Value Faster with a Modern Open Data Architecture       REGISTER             Thursday, January 20, 2022   9:00 a.m. PT 12:00 p.m. ET         Speaker         Matt Aslett VP & Research Director Ventana Research Billy Bosworth Chief Executive Officer Dremio         Ivan Alvarez VP Big Data and Enterprise Analytics NCR Corporation       Hi, A truly modern open data architecture means you can unleash the query engine/s of your choice on the whole dataset in the public cloud of your choice, allowing access for the right data personas in a highly price-performant way. That's how a modern and open architecture shortens the value chain of data while also accelerating the innovation associated with rich open ecosystems. BI and analytics goals can now be achieved directly on this open data architecture - no need to extract, transform, and load (ETL/ELT) the data into proprietary data warehouses. Recent advancements such as these modern & open technologies are making it feasible for organizations that don't have armies of data engineers to use these building blocks of the modern data stack:    Semantic Layer to easily unlock data access for data consumers such as data analysts, business analysts, and data scientists     Apache Arrow Flight, an open source data connectivity technology that provides 10X faster data transfer rates than ODBC, JDBC, and pyodbc     Apache Iceberg that came out of a need Netflix had for a more consistent, performant, and end-user friendly table format for their Amazon S3 environment     Project Nessie, which Dremio open sourced that extends and leverages table formats such as Iceberg, bringing multi-table transactions and Git-like version control to the data lake

WEBINAR: How to Create an IIoT Solution in 30 Minutes or Less - 20 January 2022

Workshop Series Click Here to Register Title: How to Create an IIoT Solution in 30 Minutes or Less Date: Thursday, January 20, 2022 Time: 8:00 am PST/ 4:00 pm UTC Duration: 60 minutes   SUMMARY Does your enterprise need to create an industrial IoT (IIoT) solution? Did you know you can create one in half an hour?    In this IoT Central Workshop you will learn how Telit deviceWISE® enables your devices and applications to communicate with one another. It empowers you to connect your enterprise and IoT applications — without writing custom code. Telit deviceWISE automatically connects devices and applications, so you can start configuring quickly with drag-and-drop logic.     This IIoT platform makes it possible for you to:  Collect and visualize real-time machine data  Build IIoT around existing and legacy equipment  Reduce time to market  Scale from pilot project to complete enterprise solution with ease  Join Telit for a workshop to learn the critical steps to design your IIoT solution. Telit will outline the process and the dependencies and concurrencies. We will show you how to collect data from industrial machines and elaborate your edge logic functions with Telit deviceWISE.  In addition, you will learn:  How to integrate your IIoT solution to external databases  How to create your front-end solution  The top five pitfalls to avoid  Instructors: Ricardo Buranello, SVP, IoT Platforms Business Unit, Telit Matthew Keever, FAE Solutions Engineer, Telit Click Here to Register

5 Lesser-Known Python Libraries for Your Next NLP Project by Michael Markin via @TDataScience

With code examples and explanations.

Very clear and very easy to understand - definitely something to read through especially if you do intend to do anything around NLP.

Query Pandas DataFrame with SQL by Edwin Tan via @TDataScience

Can you use SQL in Pandas? Yes and this is how.

I have to admit having used SQL for years I am far more comfortable using that than any other method.

Improve your Model Performance with Auto-Encoders by Satyam Kumar via @TDataScience

Use Autoencoders as a Feature Extractor.

This was really useful and could potentially save a lot of time and effort if you can get the balance right.

A new Era of SPARK and PANDAS Unification by MA Raza, Ph.D. via @AnalyticsVidhya

Pyspark and Pandas. A PRACTICAL GUIDE: SPARK 3.2.0 A new Era of SPARK and PANDAS Unification Pyspark and Pandas

I found this very interesting even though I didn't understand all of it.