Best Data Management Tools to Buy in February 2026

1

Mini Wire Stripper, 6 Pcs Network Wire Stripper Punch Down Cutter for Network Wire Cable, RJ45/Cat5/CAT-6 Data Cable, Telephone Cable and Computer UTP Cable

• COMPACT AND PORTABLE DESIGN: POCKET-SIZED, COLORFUL, AND EASY TO CARRY!

• VERSATILE TOOL: IDEAL FOR UTP/STP CABLES AND VARIOUS ROUND CABLES.

• USER-FRIENDLY AND SAFE: SECURE GRIP AND SHARP BLADE FOR EFFORTLESS STRIPPING.

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2

Hixeto Wire Comb, Network Cable Management Tools, Network Tools for Comb Data Cables or Wires with a Diameter Up to 1/4 ", Cable Management Comb and Ethernet Cable Wire Comb Organizer Tool

• WIDE COMPATIBILITY: FITS VARIOUS CABLES UP TO 1/4 DIAMETER EASILY.

• EFFICIENT DESIGN: QUICKLY SORT AND ACCESS CABLES WITHOUT HASSLE.

• DURABLE QUALITY: HIGH-QUALITY MATERIALS REDUCE WEAR, ENSURING LONGEVITY.

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3

Cable Comb Cat5/Cat6 Data Wire Comb Cable Management Tool Data Cable Comb Wire Comb Network Organizer: Effortless Wire Detangling & Organizing with 5 Magic Zip Ties for Secure Fixing

• DETACHABLE DESIGN ALLOWS QUICK CABLE INSTALLATION AND REMOVAL ANYTIME.
• DURABLE, HIGH-ELASTIC PLASTIC REDUCES WEAR AND ENHANCES LONGEVITY.
• ORGANIZES UP TO 48 CABLES, PERFECT FOR SERVER ROOMS AND LABS.

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4

Network Cable Untwist Tool, Dual Headed Looser Engineer Twisted Wire Separators for CAT5 CAT5e CAT6 CAT7 and Telephone (Black, 1 Piece)

• EFFICIENTLY SEPARATE TWISTED CABLES WITH EASE AND PRECISION.
• PERFECT FOR CAT5 TO CAT7 CABLES-VERSATILE AND PRACTICAL!
• COMPACT DESIGN FITS EASILY IN BAGS-PERFECT FOR ON-THE-GO TASKS.

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Save 20%

5

Hixeto Wire Comb, Network Cable Management Tools, Network Tools for Comb Data Cables or Wires with a Diameter Up to 0.36", Cable Management Comb and Ethernet Cable Wire Comb Organizer Tool

• UNIVERSAL COMPATIBILITY: WORKS WITH CAT 6, 6A, 7 CABLES & MORE.

• EFFICIENT DESIGN: EASY CABLE LOADING/REMOVAL SAVES TIME & EFFORT.

• DURABLE MATERIAL: HIGH-QUALITY NYLON REDUCES WEAR FOR LONG-LASTING USE.

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6

Big Data For Dummies

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Save 51%

7

Data Mining: Practical Machine Learning Tools and Techniques (The Morgan Kaufmann Series in Data Management Systems)

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Save 77%

8

Data Stewardship: An Actionable Guide to Effective Data Management and Data Governance

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Save 45%

9

[20Park]UMUST Silicone Cable Ties,Reusable Cable Management Organizer, Multipurpose Elastic Cord Organizer for Bundling and Fastening Cable Cords Wires(black,white,pink,green)

• DURABLE & REUSABLE: HIGH-QUALITY SILICONE TIES STRETCH UP TO 2.5X LENGTH!

• QUICK & EASY DESIGN: BUTTON FEATURE ENSURES SECURE FASTENINGS ANYTIME.

• VERSATILE USE: ORGANIZE CABLES, FOOD BAGS, AND MORE FOR TIDY SPACES!

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Save 20%

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ONE MORE?

To rename pandas column names by splitting with space, you can use the str.split() method along with the .str accessor to split the column names based on the space character. After splitting the column names, you can assign the new names to the DataFrame's columns attribute. Here's an example:

import pandas as pd

Create a sample DataFrame

data = {'First Name': [1, 2, 3], 'Last Name': [4, 5, 6]} df = pd.DataFrame(data)

Split column names by space

new_columns = df.columns.str.split().str.join('_')

Rename the columns

df.columns = new_columns

print(df)

This will rename the column names 'First Name' and 'Last Name' to 'First_Name' and 'Last_Name' respectively.

How can I rename column names in pandas by splitting them with space in Python?

You can rename column names in a pandas DataFrame by using the rename() function along with a lambda function that splits the column names with space. Here's an example:

import pandas as pd

Sample DataFrame

df = pd.DataFrame({'First Name': ['Alice', 'Bob', 'Charlie'], 'Last Name': ['Smith', 'Jones', 'Brown']})

Rename column names by splitting with space

df.rename(columns=lambda x: x.split()[0] + '_' + x.split()[1], inplace=True)

print(df)

This will rename the column names 'First Name' and 'Last Name' to 'First_Name' and 'Last_Name', respectively. You can modify the lambda function to suit your specific naming convention.

How do I rename pandas column names by splitting with space in Python?

You can rename pandas column names by splitting them with a space using the str.split() method and then assigning the new column names to the columns attribute of the DataFrame. Here's an example:

import pandas as pd

Sample DataFrame

data = {'First Name': [1, 2, 3], 'Last Name': [4, 5, 6]} df = pd.DataFrame(data)

Split column names with space and rename columns

df.columns = df.columns.str.split().str.join('_')

print(df)

This will output:

First_Name Last_Name 0 1 4 1 2 5 2 3 6

In this example, we split the column names with a space and then joined the split parts with an underscore to create the new column names. Finally, we assigned these new column names to the columns attribute of the DataFrame.

How to rename column names in pandas by splitting by space?

You can rename column names in pandas by splitting them using the str.split() method and then joining them back together with a custom separator. Here's an example:

import pandas as pd

Sample DataFrame

data = { 'First Name': [ 'John', 'Jane', 'James'], 'Last Name': ['Doe', 'Smith', 'Brown'], 'Age': [25, 30, 35] }

df = pd.DataFrame(data)

Split and join column names

df.columns = df.columns.str.split().str.join('_')

print(df)

This code will split column names by space and join them back together with an underscore separator, resulting in the following DataFrame:

First_Name Last_Name Age 0 John Doe 25 1 Jane Smith 30 2 James Brown 35

What is the code to change column names in pandas by splitting with space?

You can use the rename method in pandas to change column names by splitting with space. Here is an example code to achieve this:

import pandas as pd

Example dataframe

data = {'First Name': [1, 2, 3], 'Last Name': [4, 5, 6]} df = pd.DataFrame(data)

Split column names by space and rename columns

df.columns = df.columns.str.split().str.join('_')

Display the updated dataframe

print(df)

This code will split the column names by space and join them with an underscore, resulting in column names like First_Name and Last_Name.

What is the result of renaming pandas column names by splitting with space?

The result of renaming pandas column names by splitting with space would be that each column name is split into multiple parts, with each part becoming a separate column name. For example, if the original column name is "First Name", splitting with space would result in two new column names "First" and "Name".