By Chet Hosmer
Python Forensics presents many never-before-published confirmed forensic modules, libraries, and ideas that may be used correct out of the field. furthermore, distinctive guideline and documentation supplied with the code samples will permit even amateur Python programmers so as to add their very own certain twists or use the types provided to construct new solutions.
Rapid improvement of latest cybercrime research instruments is a vital component in nearly each case and atmosphere. even if you're appearing autopsy research, executing dwell triage, extracting proof from cellular units or cloud providers, otherwise you are amassing and processing facts from a community, Python forensic implementations can fill within the gaps.
Drawing upon years of useful event and utilizing a variety of examples and illustrative code samples, writer Chet Hosmer discusses the way to:
- Develop new forensic strategies self reliant of enormous seller software program free up schedules
- Participate in an open-source workbench that allows direct involvement within the layout and implementation of latest tools that increase or change present instruments
- Advance your profession through growing new strategies besides the development of state-of-the-art automation strategies to unravel outdated problems
- Provides hands-on instruments, code samples, and targeted guideline and documentation that may be positioned to take advantage of immediately
- Discusses find out how to create a Python forensics workbench
- Covers potent forensic looking out and indexing utilizing Python
- Shows the way to use Python to envision cellular machine working platforms: iOS, Android, and home windows eight
- Presents entire insurance of the way to exploit Python scripts for community investigation
By Andrew Collette
Gain hands-on event with HDF5 for storing clinical information in Python. This sensible advisor quick will get you on top of things at the information, most sensible practices, and pitfalls of utilizing HDF5 to archive and proportion numerical datasets ranging in measurement from gigabytes to terabytes.
Through real-world examples and sensible routines, you’ll discover themes resembling clinical datasets, hierarchically equipped teams, user-defined metadata, and interoperable documents. Examples are acceptable for clients of either Python 2 and Python three. If you’re conversant in the fundamentals of Python facts research, this can be an excellent creation to HDF5.
- Get manage with HDF5 instruments and create your first HDF5 file
- Work with datasets through studying the HDF5 Dataset object
- Understand complicated gains like dataset chunking and compression
- Learn the best way to paintings with HDF5’s hierarchical constitution, utilizing groups
- Create self-describing documents by means of including metadata with HDF5 attributes
- Take benefit of HDF5’s sort method to create interoperable files
- Express relationships between info with references, named varieties, and measurement scales
- Discover how Python mechanisms for writing parallel code engage with HDF5
By Mark Lutz
Google and YouTube use Python simply because it truly is hugely adaptable, effortless to keep up, and enables swift improvement. so as to write top of the range, effective code that is simply built-in with different languages and instruments, this hands-on booklet might help you be efficient with Python speedy -- no matter if you are new to programming or simply new to Python. it really is an easy-to-follow self-paced instructional, in accordance with writer and Python specialist Mark Lutz's well known education direction.
Each bankruptcy features a stand-alone lesson on a key part of the language, and features a distinct try out Your wisdom part with sensible routines and quizzes, so that you can perform new talents and attempt your knowing as you move. you can find plenty of annotated examples and illustrations that will help you start with Python 3.0.
Learn approximately Python's significant integrated item varieties, reminiscent of numbers, lists, and dictionariesCreate and technique gadgets utilizing Python statements, and research Python's normal syntax modelStructure and reuse code utilizing capabilities, Python's uncomplicated procedural toolLearn approximately Python modules: programs of statements, capabilities, and different instruments, geared up into better componentsDiscover Python's object-oriented programming software for structuring codeLearn concerning the exception-handling version, and improvement instruments for writing higher programsExplore complicated Python instruments together with decorators, descriptors, metaclasses, and Unicode processing
Unleash the possibility of BeagleBone utilizing Python
About This Book
- Configure and customise your BeagleBone to seamlessly attach it to exterior utilizing Python
- Learn to jot down courses that interface with the genuine international utilizing GPIO ports
- Clear and step by step examples, entire with part lists, circuit diagrams, and Python code
Who This booklet Is For
If you've got event with the Python language and have an interest in getting begun with electronics, then BeagleBone Black is the correct platform for you and this ebook gives you the data you need.
What you'll Learn
- Set up BeagleBone Black for improvement with the PyBBIO and Adafruit_BBIO Python libraries
- Understand how each one of BeagleBone Black's interface subsystems work
- Connect many differing types of to BeagleBone Black
- Use Python code to manage and speak with exterior hardware
- Write courses that engage with the actual global round you
BeagleBone is a barebone desktop that may be configured and customised for various functions and is sort of part the cost of a typical machine. This e-book will conceal the fundamentals of ways BeagleBone Black's interface subsystems paintings, and will be managed utilizing well known Python libraries for BeagleBone Black. you'll be brought to BeagleBone Black's GPIO, PWM, ADC, UART, SPI, I2C, and eQEP subsystems. we'll then dive deep into extra complicated integrated peripherals, demonstrating other ways to obtain enter from a person together with buttons, potentiometers, and rotary encoders with the eQEP module. we are going to additionally find out about interfacing with exterior units; this can be established utilizing the serial modules to interface with exterior units reminiscent of temperature sensors and accelerometers. in the direction of the top of the publication, we are going to current a few real-world difficulties and display how you can remedy them with the talents you've gotten acquired.
By Kiran R Karkera
Solve computing device studying difficulties utilizing probabilistic graphical versions carried out in Python with real-world applications
About This Book
- Stretch the boundaries of computer studying via studying how graphical versions supply an perception on specific difficulties, specifically in excessive size parts equivalent to photo processing and NLP
- Solve real-world difficulties utilizing Python libraries to run inferences utilizing graphical models
- A useful, step by step consultant that introduces readers to illustration, inference, and studying utilizing Python libraries most fitted to every task
Who This booklet Is For
If you're a facts scientist who is familiar with approximately computer studying and need to augment your wisdom of graphical types, resembling Bayes community, for you to use them to resolve real-world difficulties utilizing Python libraries, this ebook is for you.This ebook is meant should you have a few Python and computing device studying adventure, or are exploring the computer studying field.
What you'll Learn
- Create Bayesian networks and make inferences
- Learn the constitution of causal Bayesian networks from data
- Gain an perception on algorithms that run inference
- Explore parameter estimation in Bayes nets with PyMC sampling
- Understand the complexity of operating inference algorithms in Bayes networks
- Discover why graphical versions can trump robust classifiers in yes problems
With the expanding prominence in computing device studying and knowledge technological know-how purposes, probabilistic graphical types are a brand new software that computer studying clients can use to find and learn constructions in advanced difficulties. the range of instruments and algorithms lower than the PGM framework expand to many domain names reminiscent of traditional language processing, speech processing, picture processing, and affliction diagnosis.
You've most likely heard of graphical versions sooner than, and you are willing to attempt out new landscapes within the laptop studying region. This e-book promises adequate history info to start on graphical versions, whereas holding the mathematics to a minimum.
The e-book includes dialogue on raster and vector facts processing utilizing Python binding of GDAL/OGR library. additionally, diversified ways of representing spatial reference procedure are enumerated. there's a dialogue on LIDAR info processing utilizing Python binding of libLAS library. except processing geospatial information, the booklet additionally covers plotting of geospatial info. The final bankruptcy bargains with freely to be had geospatial info, comparable to ASTER GDEM, SRTM facts and so on.
Python Algorithms, moment Edition explains the Python method of set of rules research and layout. Written via Magnus Lie Hetland, writer of Beginning Python, this ebook is sharply thinking about classical algorithms, however it additionally provides a pretty good knowing of primary algorithmic problem-solving strategies.
The e-book bargains with essentially the most very important and difficult components of programming and laptop technological know-how in a hugely readable demeanour. It covers either algorithmic conception and programming perform, demonstrating how thought is mirrored in actual Python courses. recognized algorithms and knowledge buildings which are outfitted into the Python language are defined, and the person is proven how you can enforce and evaluation others.
By Trent Hauck
Over 50 recipes to include scikit-learn into each step of the knowledge technological know-how pipeline, from function extraction to version development and version evaluation
About This Book
- Learn find out how to deal with a number of initiatives with Scikit-Learn with fascinating recipes that express you the way the library particularly works
- Use Scikit-Learn to simplify the programming facet facts so that you can specialise in thinking
- Discover the right way to practice algorithms in a number of situations
Who This publication Is For
If you are a information scientist already accustomed to Python yet now not Scikit-Learn, or are acquainted with different programming languages like R and wish to make the leap with the foremost of Python desktop studying libraries, then this can be the e-book for you.
What you are going to Learn
- Address algorithms of assorted degrees of complexity and find out how to examine information on the related time
- Handle universal facts difficulties comparable to function extraction and lacking data
- Understand the way to assessment your types opposed to themselves and the other model
- Discover barely enough math had to the right way to take into consideration the connections among numerous algorithms
- Customize the computer studying set of rules to suit your challenge, and tips on how to alter it whilst the placement demands it
- Incorporate different applications from the Python atmosphere to munge and visualize your dataset
Python is readily changing into the go-to language for analysts and knowledge scientists as a result of its simplicity and suppleness, and in the Python info area, scikit-learn is the unequivocal selection for computer studying. Its constant API and plethora of positive aspects support resolve any desktop studying challenge it comes across.
The e-book starts off by means of strolling via assorted how to organize your data—be it a dataset with lacking values or textual content columns that require the types to be become indicator variables. After the information is prepared, you are going to research diversified suggestions aligned with diversified objectives—be it a dataset with identified results similar to revenues by way of kingdom, or extra complex difficulties similar to clustering related shoppers. ultimately, you will polish your set of rules to make sure that it is either exact and resilient to new datasets.
By Jacqueline Kazil
How do you're taking your facts research talents past Excel to the subsequent point? through studying barely enough Python to get stuff performed. This hands-on advisor exhibits non-programmers such as you tips on how to procedure details that’s at first too messy or tough to entry. you do not need to understand something concerning the Python programming language to get started.
Through quite a few step by step workouts, you’ll the right way to gather, fresh, study, and current information successfully. You’ll additionally become aware of tips on how to automate your facts strategy, agenda dossier- enhancing and clean-up initiatives, method higher datasets, and create compelling tales with facts you obtain.
- Quickly study easy Python syntax, facts kinds, and language concepts
- Work with either machine-readable and human-consumable data
- Scrape web pages and APIs to discover a bounty of priceless information
- Clean and layout facts to get rid of duplicates and error on your datasets
- Learn whilst to standardize information and whilst to check and script facts cleanup
- Explore and learn your datasets with new Python libraries and techniques
- Use Python ideas to automate all your data-wrangling process
By Josiah L. Carlson
Redis in Action introduces Redis and walks you thru examples that display the best way to use it successfully. you are going to commence through getting Redis arrange competently after which exploring the key-value version. Then, you are going to dive into actual use circumstances together with uncomplicated caching, dispensed advert concentrating on, and extra. you will the best way to scale Redis from small jobs to large datasets. skilled builders will enjoy chapters on clustering and inner scripting to make Redis more uncomplicated to exploit.
About the Technology
When you would like near-real-time entry to a fast-moving facts circulation, key-value shops like Redis are how to cross. Redis expands at the key-value trend through accepting a wide selection of information varieties, together with hashes, strings, lists, and different buildings. It presents lightning-fast operations on in-memory datasets, and likewise makes it effortless to persist to disk at the fly. Plus, it really is loose and open resource.
About this book
Redis in Action introduces Redis and the key-value version. you will quick dive into genuine use circumstances together with uncomplicated caching, disbursed advert focusing on, and extra. you will the way to scale Redis from small jobs to giant datasets and notice tips to combine with conventional RDBMS or different NoSQL shops. skilled builders will take pleasure in the in-depth chapters on clustering and inner scripting.
Written for builders conversant in database ideas. No earlier publicity to NoSQL database ideas nor to Redis itself is needed. applicable for structures directors ok with programming.
Purchase of the print booklet encompasses a loose book in PDF, Kindle, and ePub codecs from Manning guides.
- Redis from the floor up
- Preprocessing real-time data
- Managing in-memory datasets
- Pub/sub and configuration
- Persisting to disk
About the Author
Dr. Josiah L. Carlson is a professional database expert and an energetic contributor to the Redis group.
Table of Contents
- Getting to grasp Redis
- Anatomy of a Redis internet application
- Commands in Redis
- Keeping information secure and making sure performance
- Using Redis for program support
- Application parts in Redis
- Search-based applications
- Building an easy social network
- Reducing reminiscence use
- Scaling Redis
- Scripting Redis with Lua