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#DataFrames

Showing: 37 courses
Devoxx

DataFrame: Kotlin's Innovative Approach to Data Structures

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Explore Kotlin's DataFrame library for efficient data manipulation, analysis, and visualization in both flat and hierarchical structures. Discover its versatility in various project types.
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1 Lesons
51 minutes
On-Demand
Free-Video
Great Learning

Pandas Python Tutorial - Python Programming

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Learn Pandas for efficient data manipulation and analysis in Python, covering series, dataframes, indexing, and essential functions for data science projects.
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16 Lesons
25 minutes
On-Demand
Free-Video
Great Learning

Apache Spark Full Course - Learn Apache Spark 2020

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In this 'Spark Tutorial' you will comprehensively learn all the major concepts of Spark such as Spark RDD, Dataframes, Spark SQL and Spark Streaming.
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14 Lesons
7 hours 44 minutes
On-Demand
Free-Video
Great Learning

Python Pandas Tutorial

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Master Python Pandas for data manipulation and analysis. Learn DataFrames, Series, indexing, and aggregation operations to efficiently handle numerical tables and time series data.
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8 Lesons
1 hour 32 minutes
On-Demand
Free-Video
Learning Journal

Apache Spark Tutorials

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Learn Apache Spark's distributed computing capabilities, architecture, and programming with Scala. Explore DataFrames, SQL, data sources, and advanced features like Delta Lake for efficient big data processing.
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21 Lesons
5 hours
On-Demand
Free-Video
Derek Banas

Pandas Tutorial

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Comprehensive guide to Pandas framework for data manipulation, analysis, and visualization, covering key concepts and practical examples for effective data science workflows.
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19 Lesons
1 hour 40 minutes
On-Demand
Free-Video

Pandas Tutorial - Data Analysis in Python

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Learn data analysis with Python's Pandas library. Covers DataFrame basics, data handling, grouping, merging, pivoting, time series analysis, and memory optimization for large datasets.
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22 Lesons
4 hours 30 minutes
On-Demand
Free-Video
The Julia Programming Language

Statistics with Julia from the Ground Up - JuliaCon 2021 Workshop

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Learn statistical applications in Julia through hands-on examples, covering probability, data manipulation, plotting, and modeling. Ideal for R users transitioning to Julia for data science and machine learning.
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24 Lesons
3 hours
On-Demand
Free-Video
Simon Sez IT

Learn Python Pandas - Pandas Course for Beginners

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Comprehensive introduction to Python Pandas, covering installation, data structures, file operations, data manipulation, and transformation techniques for beginners in data analysis.
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10 Lesons
1 hour 13 minutes
On-Demand
Free-Video

Pandas 팬더스 강의 기초 실습

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Pandas 기초부터 고급 기능까지 실습을 통해 학습하는 강의. 데이터 불러오기, 조작, 분석, 저장 등 다양한 기능을 다룹니다.
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14 Lesons
1 hour 30 minutes
On-Demand
Free-Video
Sundeep Saradhi Kanthety

PYTHON PANDAS TUTORIAL IN TELUGU - COMPLETE PANDAS TUTORIALS IN TELUGU - DATA SCIENCE

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తెలుగులో పూర్తి పాండాస్ ట్యుటోరియల్: డేటాఫ్రేమ్‌లను సృష్టించడం, నిర్వహించడం మరియు విశ్లేషించడం నుండి డేటా ఫిల్టరింగ్ మరియు ఎగుమతి వరకు అన్ని ముఖ్యమైన అంశాలను కవర్ చేస్తుంది.
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12 Lesons
1 hour 33 minutes
On-Demand
Free-Video
CodeWithHarry

Python Pandas Tutorial for Data Analysis and Manipulation - Hindi

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पायथन पांडास का व्यापक परिचय: डेटाफ्रेम, सीरीज़, और डेटा विश्लेषण तकनीकों का अध्ययन। एक्सेल और CSV फाइलों के साथ काम करने की जानकारी शामिल है।
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1 Lesons
1 hour 5 minutes
On-Demand
Free-Video
Databricks

Building a Multimodal Data Lakehouse with the Daft Distributed Python Dataframe

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Explore Daft, a next-gen distributed query engine for processing multimodal data at scale. Learn to build a multimodal data lakehouse using familiar dataframe interfaces on existing infrastructure.
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1 Lesons
18 minutes
On-Demand
Free-Video
Databricks

Sound Data Engineering in Rust - From Bits to DataFrames

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Explore Rust for efficient data engineering, from low-level bit manipulation to high-performance DataFrames using Apache Arrow. Learn optimization techniques and benchmarks for improved data processing.
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15 Lesons
35 minutes
On-Demand
Free-Video
Bryan Cafferky

Azure Databricks with R - Deep Dive

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Explore Azure Databricks using R for big data and machine learning. Learn Spark architecture, APIs, workspaces, and data manipulation techniques for efficient cloud-based analytics.
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31 Lesons
59 minutes
On-Demand
Free-Video
Laith Academy

The Python Pandas Tutorial

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Learn essential Pandas concepts including Series, DataFrames, conditional selection, and groupby operations for efficient data manipulation and analysis in Python.
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6 Lesons
1 hour 12 minutes
On-Demand
Free-Video
Rob Mulla

Learning Pandas - Start Here

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Comprehensive overview of Pandas functionality, covering data I/O, DataFrame operations, filtering, statistics, grouping, and data manipulation techniques for efficient data wrangling and analysis.
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28 Lesons
23 minutes
On-Demand
Free-Video
Keith Galli

Complete Python Pandas Data Science Tutorial - 2024 Updated Edition

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Comprehensive tutorial on Python Pandas for data analysis, covering basics to advanced techniques. Learn to manipulate, filter, and aggregate data efficiently using the latest Pandas features and AI tools.
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28 Lesons
1 hour 34 minutes
On-Demand
Free-Video
The Machine Learning Engineer

Langchain: Working with Structured Data, Databases, and CSV Files

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Explore structured data manipulation using Langchain and OpenAI for data science and machine learning applications.
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1 Lesons
41 minutes
On-Demand
Free-Video

Scientific Computing for Information Security - Forging the Missing Link

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Explore scientific computing's role in information security, focusing on data analytics, automation, and practical examples to enhance effectiveness and solve industry challenges.
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25 Lesons
41 minutes
On-Demand
Free-Video
Scala Days Conferences

Spark 2.0

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Explore Apache Spark 2.0's evolution, new APIs, and optimizations for big data processing. Learn about DataFrames, Datasets, and Structured Streaming for efficient distributed programming.
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43 Lesons
59 minutes
On-Demand
Free-Video

Analyzing Pwned Passwords with Apache Spark

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Learn to analyze compromised passwords using Apache Spark, exploring data visualization, password policies, and big data security challenges for improved cybersecurity practices.
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29 Lesons
38 minutes
On-Demand
Free-Video
PyCon US

Employing NumPy's NPY Format for Faster Than Parquet DataFrame Storage

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Explore faster DataFrame storage using NumPy's NPY format, outperforming Parquet in read/write times while supporting all DataFrame characteristics and NumPy dtypes.
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24 Lesons
28 minutes
On-Demand
Free-Video
PyCon US

Developing on Google Cloud with Python and DataFrames

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Explore Google Cloud's enhanced Python experience for building applications, pipelines, and analytics, focusing on BigQuery integration and DataFrame support for impactful business solutions.
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1 Lesons
40 minutes
On-Demand
Free-Video
EuroPython Conference

Modern Data Science with Vaex - A New Approach to DataFrames and Pipelines

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Explore efficient data processing for large datasets using Vaex, combining computational graphs and lazy evaluations with memory-mapped storage and out-of-core algorithms.
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31 Lesons
51 minutes
On-Demand
Free-Video
MLCon | Machine Learning Conference

Kotlin for Machine Learning

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Explore Kotlin's potential in machine learning projects, from data cleaning to model deployment. Learn about Kotlin tools for data science, including Jupyter notebooks, visualizations, and dataframes.
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1 Lesons
48 minutes
On-Demand
Free-Video
Python Tutorials for Digital Humanities

Create DataFrame Applications with Streamlit and Pandas in Python

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Learn to create interactive DataFrame applications using Streamlit and Pandas with just two lines of Python code, enabling quick data visualization and manipulation.
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9 Lesons
13 minutes
On-Demand
Free-Video
Conf42

Streaming DataFrames: A New Way to Process Streaming Data - Conf42 Python 2024

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Explore streaming DataFrames as a novel approach to process real-time data, enhancing efficiency and simplifying stream processing workflows for Python developers.
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20 Lesons
21 minutes
On-Demand
Free-Video
Devoxx

Dataframes, Collections, and Streams in Java

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Explore dataframes, collections, and streams in Java using built-in features and libraries like Eclipse Collections and Dataframe-EC. Learn to manipulate data efficiently for data science and collection management.
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1 Lesons
41 minutes
On-Demand
Free-Video
PyCon US

Making Beautiful, Publication Quality Tables in Python - 2024 Update

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Explore techniques for creating visually appealing, publication-ready tables in Python, bridging the gap between raw DataFrame output and structured, informative displays.
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1 Lesons
31 minutes
On-Demand
Free-Video
PyCon US

Pandas and Dask DataFrame 2.0 - Comparison to Spark, DuckDB and Polars

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Explore Dask DataFrame 2.0's improvements and performance compared to Spark, DuckDB, and Polars. Learn about new features, benchmarks, and future developments in distributed computing with Python.
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1 Lesons
30 minutes
On-Demand
Free-Video
PyCon US

Python and SQL: Better Together, Powered by DuckDB

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Explore DuckDB's integration with Python for efficient data processing, combining SQL and dataframe capabilities to handle large datasets with ease and speed.
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1 Lesons
39 minutes
On-Demand
Free-Video
NashKnolX

Apache Spark Performance Tuning and Best Practices

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Optimize Apache Spark performance with best practices for production environments, covering system tuning, casting, broadcasting, serialization, and memory management.
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23 Lesons
42 minutes
On-Demand
Free-Video
NashKnolX

Apache Spark Structured APIs Using Databricks

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Master Apache Spark Structured APIs for data manipulation using Databricks. Learn RDD, DataFrame API, data aggregation, and ETL operations in this comprehensive overview.
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17 Lesons
41 minutes
On-Demand
Free-Video
MLOps.community

Dataframes Are All You Need: MLOps on Easy Mode

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Explore the power of dataframes in MLOps with Jay Chia. Learn how this flexible abstraction simplifies complex data processing, analytics, and machine learning pipelines using Daft as an example.
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25 Lesons
57 minutes
On-Demand
Free-Video
PyCon US

Python and SQL: Better Together, Powered by DuckDB

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Explore DuckDB: A powerful database system integrating seamlessly with Python, offering efficient data processing and easy-to-use SQL capabilities for data scientists and analysts.
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1 Lesons
39 minutes
On-Demand
Free-Video
PyCon US

Making Beautiful, Publication Quality Tables in Python - 2024 Update

0 rewiews
Explore techniques for creating visually appealing, publication-ready tables in Python, bridging the gap between raw DataFrame output and structured, informative displays.
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1 Lesons
31 minutes
On-Demand
Free-Video