Sarah Kelly (@sarakelly) - Deepstash

Sarah Kelly

@sarakelly

Product designer

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SQL was a go-to tool when you needed to get a quick-and-dirty look at some data, and draw preliminary conclusions that might, eventually, lead to a report or an application being written. This is called exploratory analysis.

These days, data comes in many shapes and forms, and it’s not synonymous with “relational database” anymore. You may end up with CSV files, plain text, Parquet, HDF5, and who knows what else. This is where Pandas library shines.

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Using existing talent

Using the employees already within your business and investing in employee development will be crucial for businesses looking to build their workforces for tomorrow. It also allows leaders to understand which skills are most in-demand across the business and identify where any areas need intervention.

Over time, and as projects progress, trends in these gaps will likely occur meaning HR and leadership teams are able to understand exactly when and where internal talent needs to be developed in good time in order to fill those gaps that come up most often.

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Data Trees: Definition

Trees are well-known as a non-linear data structure. They don’t store data in a linear way. They organize data hierarchically.

A tree is a collection of entities called nodes. Nodes are connected by edges. Each node contains a value or data, and it may or may not have a child node .

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Writing Code Without Planning

Writing quality programs is a process with a flow:
Think. Research. Plan. Write. Validate. Modify.

One of the biggest mistakes you can make as a beginner programmer is to start writing code right away without much thinking and researching. While this might work for a small stand-alone application, it has a big, negative effect on larger applications.

Just like you need to think before saying anything you might regret, you need to think before you code anything you might regret. Coding is also a way to communicate your thoughts.

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