Hands-On Data Analysis with NumPy and pandas: Implement Python packages from data manipulation to processing
bGet to grips with the most popular Python packages that make data analysis possible/bh2About This Book/h2ulliExplore the tools you need to become a data analyst/liliDiscover practical examples to help you grasp data processing concepts/liliWalk through hierarchical indexing and grouping for data an...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Birmingham
Packt Publishing Limited
2018
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| Ausgabe: | 1 |
| Schlagworte: | |
| Online-Zugang: | UER01 |
| Zusammenfassung: | bGet to grips with the most popular Python packages that make data analysis possible/bh2About This Book/h2ulliExplore the tools you need to become a data analyst/liliDiscover practical examples to help you grasp data processing concepts/liliWalk through hierarchical indexing and grouping for data analysis/li/ulh2Who This Book Is For/h2Hands-On Data Analysis with NumPy and Pandas is for you if you are a Python developer and want to take your first steps into the world of data analysis. No previous experience of data analysis is required to enjoy this book.h2What You Will Learn/h2ulliUnderstand how to install and manage Anaconda/liliRead, sort, and map data using NumPy and pandas/liliFind out how to create and slice data arrays using NumPy/liliDiscover how to subset your DataFrames using pandas/liliHandle missing data in a pandas DataFrame/liliExplore hierarchical indexing and plotting with pandas/li/ulh2In Detail/h2Python, a multi-paradigm programming language, has become the language of choice for data scientists for visualization, data analysis, and machine learning.Hands-On Data Analysis with NumPy and Pandas starts by guiding you in setting up the right environment for data analysis with Python, along with helping you install the correct Python distribution. In addition to this, you will work with the Jupyter notebook and set up a database. Once you have covered Jupyter, you will dig deep into Python's NumPy package, a powerful extension with advanced mathematical functions. You will then move on to creating NumPy arrays and employing different array methods and functions. You will explore Python's pandas extension which will help you get to grips with data mining and learn to subset your data. Last but not the least you will grasp how to manage your datasets by sorting and ranking them.By the end of this book, you will have learned to index and group your data for sophisticated data analysis and manipulation.h2Style and approach/h2A step-by-step approach, taking you through the different concepts and features of Data Analysis using Python libraries and tools |
| Beschreibung: | 1 Online-Ressource (168 Seiten) |
| ISBN: | 9781789534245 |
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| 520 | |a Once you have covered Jupyter, you will dig deep into Python's NumPy package, a powerful extension with advanced mathematical functions. You will then move on to creating NumPy arrays and employing different array methods and functions. You will explore Python's pandas extension which will help you get to grips with data mining and learn to subset your data. Last but not the least you will grasp how to manage your datasets by sorting and ranking them.By the end of this book, you will have learned to index and group your data for sophisticated data analysis and manipulation.h2Style and approach/h2A step-by-step approach, taking you through the different concepts and features of Data Analysis using Python libraries and tools | ||
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| spelling | Miller, Curtis Verfasser aut Hands-On Data Analysis with NumPy and pandas Implement Python packages from data manipulation to processing Miller, Curtis 1 Birmingham Packt Publishing Limited 2018 1 Online-Ressource (168 Seiten) txt rdacontent c rdamedia cr rdacarrier bGet to grips with the most popular Python packages that make data analysis possible/bh2About This Book/h2ulliExplore the tools you need to become a data analyst/liliDiscover practical examples to help you grasp data processing concepts/liliWalk through hierarchical indexing and grouping for data analysis/li/ulh2Who This Book Is For/h2Hands-On Data Analysis with NumPy and Pandas is for you if you are a Python developer and want to take your first steps into the world of data analysis. No previous experience of data analysis is required to enjoy this book.h2What You Will Learn/h2ulliUnderstand how to install and manage Anaconda/liliRead, sort, and map data using NumPy and pandas/liliFind out how to create and slice data arrays using NumPy/liliDiscover how to subset your DataFrames using pandas/liliHandle missing data in a pandas DataFrame/liliExplore hierarchical indexing and plotting with pandas/li/ulh2In Detail/h2Python, a multi-paradigm programming language, has become the language of choice for data scientists for visualization, data analysis, and machine learning.Hands-On Data Analysis with NumPy and Pandas starts by guiding you in setting up the right environment for data analysis with Python, along with helping you install the correct Python distribution. In addition to this, you will work with the Jupyter notebook and set up a database. Once you have covered Jupyter, you will dig deep into Python's NumPy package, a powerful extension with advanced mathematical functions. You will then move on to creating NumPy arrays and employing different array methods and functions. You will explore Python's pandas extension which will help you get to grips with data mining and learn to subset your data. Last but not the least you will grasp how to manage your datasets by sorting and ranking them.By the end of this book, you will have learned to index and group your data for sophisticated data analysis and manipulation.h2Style and approach/h2A step-by-step approach, taking you through the different concepts and features of Data Analysis using Python libraries and tools COMPUTERS / Data Modeling & Design COMPUTERS / Data Visualization |
| spellingShingle | Miller, Curtis Hands-On Data Analysis with NumPy and pandas Implement Python packages from data manipulation to processing COMPUTERS / Data Modeling & Design COMPUTERS / Data Visualization |
| title | Hands-On Data Analysis with NumPy and pandas Implement Python packages from data manipulation to processing |
| title_auth | Hands-On Data Analysis with NumPy and pandas Implement Python packages from data manipulation to processing |
| title_exact_search | Hands-On Data Analysis with NumPy and pandas Implement Python packages from data manipulation to processing |
| title_exact_search_txtP | Hands-On Data Analysis with NumPy and pandas Implement Python packages from data manipulation to processing |
| title_full | Hands-On Data Analysis with NumPy and pandas Implement Python packages from data manipulation to processing Miller, Curtis |
| title_fullStr | Hands-On Data Analysis with NumPy and pandas Implement Python packages from data manipulation to processing Miller, Curtis |
| title_full_unstemmed | Hands-On Data Analysis with NumPy and pandas Implement Python packages from data manipulation to processing Miller, Curtis |
| title_short | Hands-On Data Analysis with NumPy and pandas |
| title_sort | hands on data analysis with numpy and pandas implement python packages from data manipulation to processing |
| title_sub | Implement Python packages from data manipulation to processing |
| topic | COMPUTERS / Data Modeling & Design COMPUTERS / Data Visualization |
| topic_facet | COMPUTERS / Data Modeling & Design COMPUTERS / Data Visualization |
| work_keys_str_mv | AT millercurtis handsondataanalysiswithnumpyandpandasimplementpythonpackagesfromdatamanipulationtoprocessing |