A helyi, oktatott élő Python tanfolyamok a handson gyakorlat segítségével demonstrálják a Python programnyelvének különböző aspektusait A témák között szerepelnek a Python programozás alapjai, a fejlett Python programozás, Python a tesztautomatizáláshoz, a Python scripting és az automatizálás, valamint a Python for Data Analysis és Big Data alkalmazások olyan területeken, mint a pénzügy, bankügyletek és biztosítás A NobleProg Python tanfolyamok kiterjednek a Python könyvtárak és a gépi tanulás és a mély tanulás keretrendszerének kezdeti és továbbképzésére is A Python képzés elérhető "helyszíni élő képzésként" vagy "távoli élő képzésként" A helyszíni élő képzés helyi szinten valósulhat meg az ügyfél telephelyén Magyarország vagy a NobleProg vállalati oktatóközpontjaiban Magyarország A távoli élőképzés interaktív, távoli asztal segítségével történik NobleProg Az Ön Helyi Képzési Szolgáltatója.
Machine Translated
Vélemények
Inkább a testmozgást és a Python zümmögéseinek és áttöréseinek megismerését részesítettem előnyben
Connor Brierley-Green
Kurzus: Python Programming
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Joey fertőző lelkesedéssel rendelkezik a programozással kapcsolatban. És nagyon jól tudta igazítani igényeinket és érdekeinket.
Randy Enkin
Kurzus: Python Programming
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Számos példa könnyű megérteni.
Lingmin Cao
Kurzus: Python Programming
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A kérdésekre vonatkozó útmutató átfogó ismerete mindenre kiterjedő választ adott a várakozásaimnak ... Az előadó nagy vitákat folytat ... Nem hiányzik a türelme ... Matul
Łukasz Matulewicz
Kurzus: Programowanie w języku Python
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A tanár nagy tudása, az eszközök sokfélesége és a téma gyakorlati megközelítése Magdale
Magdalena Stupak
Kurzus: Programowanie w języku Python
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a tréner nagyszerű ismerete, a fordítás
Renata Cylejowska
Kurzus: Programowanie w języku Python
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Tény, hogy a testreszabást komolyan vették.
jurgen linsen
Kurzus: Python Programming
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Mivel én voltam az egyetlen résztvevő, a képzés az igényeimhez igazodhatott.
Kevin THIERRY
Kurzus: Web Development with Web2Py
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Tetszett a gyakorlatok.
Office for National Statistics
Kurzus: Natural Language Processing with Python
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Tetszett a segítőkész és nagyon kedves.
Natalia Machrowicz
Kurzus: Python Programming
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Gyakorlati gyakorlatokat végeztünk (az általunk írt szkripteket mindennapi munkánkban felhasználhatjuk). Nagyon érdekes volt a tanfolyam. Szerettem úgy is, ahogy az edző megosztotta tudását. Nagyon könnyen elérhető módon csinálta.
Malwina Sawa
Kurzus: Python Programming
Machine Translated
Nagyon jó megközelítés a legfontosabb témák memorizálására / megismételésére. Nagyon szép "bemelegítő" gyakorlatok.
Kurzus: Python Programming
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* Élvezetes gyakorlatok. * Gyorsan bekerült a fejlettebb témákba. * A tréner barátságos és könnyen kezelhető. * Testre szabott kurzus a csapat igényeihez.
Matthew Lucas
Kurzus: Python Programming
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Éreztem a felkészülést arra, hogy konkrét témákat vegyek fel a kurzusba.
Marc Ammann
Kurzus: Python Programming
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Mindenki tetszik
蒙 李
Kurzus: Machine Learning Fundamentals with Python
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az edző minden egyes személyre nézett és segített S
Szymon Wolny
Kurzus: Programowanie w języku Python
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A téma számára ideális megoldások. Gyakorlatok egyszerűek és "csillaggal" Mot
Motorola Solutions Systems Polska Sp. z o.o
Kurzus: Programowanie w języku Python
Machine Translated
Jó egyensúlyelmélet / gyakorlatok, az előadások szintjének a kevésbé tapasztalt hallgatókhoz való igazítása, egy nagyon nagy plusz a Jupiter Notebook használatához, és az elmélet bemutatása a gyakorlatban. Szerettem anonim visszajelzést gyűjteni a képzés első részéről is, másnap mindent elkészítettünk javaslataink szerint, és bár nagyon jó volt, akkor még jobb volt :)
Motorola Solutions Systems Polska Sp. z o.o
Kurzus: Programowanie w języku Python
Machine Translated
a tanár elkötelezettsége, előkészítése, a hallgatók hozzáállása, a félreértések magyarázata
Małgorzata Konior
Kurzus: Programowanie w języku Python
Machine Translated
Hogy a vezető mindenkihez közelít, még akkor is, ha nem hív segítségért és ellenőrzi a gyakorlat szintjét. Agniesz
Agnieszka Bielak
Kurzus: Programowanie w języku Python
Machine Translated
A tréner nagyon rövid elméleteket adott egy adott kérdésről, és azonnal elmentünk a gyakorlatba. Szép módja a kártyák felakasztására, amely tájékoztatja az oktatót arról, hogy mennyi időt töltött egy adott feladatra, és ki más problémákkal szembesül a megoldással.
Motorola Solutions Systems Polska Sp. z o.o
Kurzus: Programowanie w języku Python
Machine Translated
Még akkor is, ha valaki nem kérte, de látta, hogy nem lépett előre a feladattal, Krzysztof felállt, és képes volt ügyesen tanácsot adni Motoro
Motorola Solutions Systems Polska Sp. z o.o
Kurzus: Programowanie w języku Python
Machine Translated
A vezetés módja, a gyakorlatok, mindent egybevéve tetszett, nagyon boldog vagyok, hogy egy ilyen edzőhöz jöttem Ma
Maksym Kolodiy
Kurzus: Programowanie w języku Python
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Valódi gyakorlati példák
Motorola Solutions Systems Polska Sp. z o.o
Kurzus: Programowanie w języku Python
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A képzési anyagok elérhetősége (Jupyter), amelyet folyamatosan fejlesztettek ki a jegyzetfüzet frissítésével a tanfolyam során felmerült kérdések függvényében. Kételyek eloszlatása, minden kérdés megválaszolása.
Motorola Solutions Systems Polska Sp. z o.o
Kurzus: Programowanie w języku Python
Machine Translated
Megközelíthetőség és érdekes módja a tananyagok átadásának. - Mo
Motorola Solutions Systems Polska Sp. z o.o
Kurzus: Programowanie w języku Python
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Az xlsx és csv fájlok feldolgozása
Łukasz Olczyk
Kurzus: Python: Automate the boring stuff
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A gépi tanulási témák részletes ismertetése, különösen a neurális hálózatok. A téma nagy részét feldúsította.
Sacha Nandlall
Kurzus: Python for Advanced Machine Learning
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Tetszett a testreszabott, in-house fájlfeldolgozás és adatelemzés.
Glycom A/S
Kurzus: Data Analysis in Python using Pandas and Numpy
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Az esettanulmányok segítettek megérteni a Python alkalmazását az iparban. Nagyon értékeltem az oktató segítségét a gyakorlatok során
Rajiv Dhingra - TCS
Kurzus: Python Programming
Machine Translated
Mivel PHP fejlesztők vagyunk, megértette a helyzetet, és megengedte, hogy lassan térképezzünk a dolgok között. Tetszett a példák és a humor, amelyet hozzátette.
Soumya Tyagi - TCS
Kurzus: Python Programming
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Élveztem, hogy példáinkat felhasználva saját adatainkat használjuk.
Glycom A/S
Kurzus: Data Analysis in Python using Pandas and Numpy
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Mindent
MTU Aero Engines Polska Sp. z o. o.
Kurzus: Programowanie w języku Python
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Érdekes kérdések
MTU Aero Engines Polska Sp. z o. o.
Kurzus: Programowanie w języku Python
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Különféle felkészített kérdések és példák
MTU Aero Engines Polska Sp. z o. o.
Kurzus: Programowanie w języku Python
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a képzés nem bemutató stílus. Kollégáztunk edzővel.
Bhutan Telecom
Kurzus: Web Development with Django
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Leginkább a mindent élveztem.
Thukten Dendup - Bhutan Telecom
Kurzus: Web Development with Django
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Ez egy új élmény, egy új keret, és várom, hogy tegyen valamit az órákon tanult leckék segítségével.
Jigme - Bhutan Telecom
Kurzus: Web Development with Django
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Igazán élveztem a laborokat és gyakorlatokat.
Vivian Feng - Destination Canada
Kurzus: Data Analysis with SQL, Python and Spotfire
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A gyakorlatokat / laborokat a saját szervezeti igényeinkhez igazítottuk.
Destination Canada
Kurzus: Data Analysis with SQL, Python and Spotfire
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Általában szerettem a témát.
Destination Canada
Kurzus: Data Analysis with SQL, Python and Spotfire
Machine Translated
Az edző valódi szószerző tapasztalatokat osztott meg, jó megtanulni az igazi profitől.
Fednot
Kurzus: Python Programming
Machine Translated
A tréner kiváló volt, mindig kész volt megválaszolni kérdéseimet, és annyi tudást osztott meg, amennyit csak tudott.
Fahad Malalla - Tatweer Petroleum
Kurzus: Advanced Python
Machine Translated
1: 1 nagyon intenzív, de sokat tanultam.
Karen Dyke - BT
Kurzus: Python: Automate the Boring Stuff
Machine Translated
a "a kivetítőre" kódolt példákra való hangsúlyozás feltétlenül + a Tom számára.
ADVA OPTICAL NETWORKING SP. ZO O.
Kurzus: Advanced Python
Machine Translated
Én leginkább élveztem a témát.
Proximus
Kurzus: Python Programming
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Ahogy a gyakorlatokat szervezték: minden a saját tempóját, és Antonio ott, hogy segítsen tovább.
Proximus
Kurzus: Python Programming
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Tetszett a megfelelő és nagyon részletes olvasóanyagok és példák (csúszda).
HC Consumer Finance Philippines, Inc.
Kurzus: Python Programming
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Én valóban tetszett a na.
HC Consumer Finance Philippines, Inc.
Kurzus: Python Programming
Machine Translated
Amit szeretek a legjobban a képzés, hogy mindent során a vázlatot, hogy valami hasznos lesz a projektjeinket.
Joanna Marie Escueta - Aarki, Inc.
Kurzus: Python Programming
Machine Translated
Nagyon jó megközelítés a legfontosabb témák memorizálására / megismételésére. Nagyon szép "bemelegítő" gyakorlatok.
Kurzus: Python Programming
Machine Translated
Python Course Outlines
Kurzusnév
Időtartalma
Összefoglaló
Kurzusnév
Időtartalma
Összefoglaló
28 hours
This course is designed for those wishing to learn the Python programming language. The emphasis is on the Python language, the core libraries, as well as on the selection of the best and most useful libraries developed by the Python community. Python drives businesses and is used by scientists all over the world – it is one of the most popular programming languages.
The course can be delivered using the latest Python version 3.x with practical exercises making use of the full power. This course can be delivered on any operating system (all flavours of UNIX, including Linux and Mac OS X, as well as Microsoft Windows).
The practical exercises constitute about 70% of the course time, and around 30% are demonstrations and presentations. Discussions and questions can be asked throughout the course.
Note: the training can be tailored to specific needs upon prior request ahead of the proposed course date.
The course can be delivered using the latest Python version 3.x with practical exercises making use of the full power. This course can be delivered on any operating system (all flavours of UNIX, including Linux and Mac OS X, as well as Microsoft Windows).
The practical exercises constitute about 70% of the course time, and around 30% are demonstrations and presentations. Discussions and questions can be asked throughout the course.
Note: the training can be tailored to specific needs upon prior request ahead of the proposed course date.
21 hours
Django is a high-level Python Web framework that encourages rapid development and clean, pragmatic design.
Audience
This course is directed at developers and engineers seeking to incorporate Django in their projects
Audience
This course is directed at developers and engineers seeking to incorporate Django in their projects
14 hours
This instructor-led, live training in Magyarország (online or onsite) is aimed at backend developers who wish to build backend REST APIs with Python and Django.
By the end of this training, participants will be able to:
- Create a self documenting REST API.
- Deploy REST APIs onto a cloud based server.
- Implement APIs for application authentication.
- Build a reusable backend for future Python projects.
By the end of this training, participants will be able to:
- Create a self documenting REST API.
- Deploy REST APIs onto a cloud based server.
- Implement APIs for application authentication.
- Build a reusable backend for future Python projects.
14 hours
This instructor-led, live training in Magyarország (online or onsite) is aimed at sysadmins who wish to set up, deploy and manage a Python-based enterprise-grade CMS (content management system).
By the end of this training, participants will be able to:
- Install and configure a production-grade Django CMS website.
- Define user roles and permissions.
- Configure database and perform maintenance operations.
- Secure, monitor, optimize, and troubleshoot a live Django CMS system.
- Peform administration tasks, including backup, restore and site migration.
- Launch multisite instances of Django CMS on-premise or to a public cloud.
- Integrate a Django CMS with third-party applications and systems.
By the end of this training, participants will be able to:
- Install and configure a production-grade Django CMS website.
- Define user roles and permissions.
- Configure database and perform maintenance operations.
- Secure, monitor, optimize, and troubleshoot a live Django CMS system.
- Peform administration tasks, including backup, restore and site migration.
- Launch multisite instances of Django CMS on-premise or to a public cloud.
- Integrate a Django CMS with third-party applications and systems.
21 hours
This instructor-led, live training in Magyarország (online or onsite) is aimed at developers who wish to customize and extend a Python-based enterprise-grade CMS (content management system).
By the end of this training, participants will be able to:
- Set up the necessary development environment to start developing.
- Create custom page templates and plugins.
- Linking functionality from another application with a DJango system.
- Integrate an entire Django web application with a Django CMS website.
By the end of this training, participants will be able to:
- Set up the necessary development environment to start developing.
- Create custom page templates and plugins.
- Linking functionality from another application with a DJango system.
- Integrate an entire Django web application with a Django CMS website.
21 hours
This instructor-led, live training in Magyarország (online or onsite) is aimed at developers who wish to customize and extend a Python-based CMS (content management system).
By the end of this training, participants will be able to:
- Set up the necessary development environment to start developing.
- Create and customize pages, menus, and forms to give personality to a website.
- Test, debug, optimize and deploy a fully functional website.
- Optimize websites for SEO.
By the end of this training, participants will be able to:
- Set up the necessary development environment to start developing.
- Create and customize pages, menus, and forms to give personality to a website.
- Test, debug, optimize and deploy a fully functional website.
- Optimize websites for SEO.
28 hours
Web2py is a python based free open source full-stack framework for rapid development of fast, scalable, secure and portable database-driven web-based applications.
Audience
This course is directed at Engineers and Developers using web2py as a framework for web development
Audience
This course is directed at Engineers and Developers using web2py as a framework for web development
21 hours
This instructor-led, live training in Magyarország (online or onsite) is aimed at persons who wish to program a visually attractive software application using Python and the Qt UI framework.
By the end of this training, participants will be able to:
- Set up a development environment that includes all needed libraries, packages and frameworks.
- Create a desktop or server application whose user interface functions smoothly and is visually appealing.
- Implement various UI elements and effects, including widgets, charts, layers, etc. to achieve maximum effect in usability.
- Implement good UI design and code organization during the design and development phase.
- Test and debug the application.
By the end of this training, participants will be able to:
- Set up a development environment that includes all needed libraries, packages and frameworks.
- Create a desktop or server application whose user interface functions smoothly and is visually appealing.
- Implement various UI elements and effects, including widgets, charts, layers, etc. to achieve maximum effect in usability.
- Implement good UI design and code organization during the design and development phase.
- Test and debug the application.
7 hours
Kivy is an open-source cross-platform graphical user interface library written in Python, which allows multi-touch application development for a wide selection of devices.
In this instructor-led, live training participants will learn how to install and deploy Kivy on different platforms, customize and manipulate widgets, schedule, trigger and respond to events, modify graphics with multi-touching, resize the screen, package apps for Android, and more.
By the end of this training, participants will be able to
- Relate the Python code and the Kivy language.
- Have a solid understanding of how Kivy works and makes use of its most important elements such as, widgets, events, properties, graphics, etc.
- Seamlessly develop and deploy Android apps based on different business and design requirements.
Format of the course
- Part lecture, part discussion, exercises and heavy hands-on practice
In this instructor-led, live training participants will learn how to install and deploy Kivy on different platforms, customize and manipulate widgets, schedule, trigger and respond to events, modify graphics with multi-touching, resize the screen, package apps for Android, and more.
By the end of this training, participants will be able to
- Relate the Python code and the Kivy language.
- Have a solid understanding of how Kivy works and makes use of its most important elements such as, widgets, events, properties, graphics, etc.
- Seamlessly develop and deploy Android apps based on different business and design requirements.
Format of the course
- Part lecture, part discussion, exercises and heavy hands-on practice
14 hours
This instructor-led, live training (onsite or remote) is aimed at web developers who wish to design, develop, and deploy a GUI with Tkinter.
By the end of this training, participants will be able to:
- Use geography managers to lay out the GUI.
- Organize widgets inside of frames.
- Build a GUI application with Python Tkinter.
By the end of this training, participants will be able to:
- Use geography managers to lay out the GUI.
- Organize widgets inside of frames.
- Build a GUI application with Python Tkinter.
14 hours
This instructor-led, live training in Magyarország (online or onsite) is aimed at backend developers who wish to build REST APIs with Python and Flask.
By the end of this training, participants will be able to:
- Implement a REST API to allow a Flask web application to read and write to a database in the backend.
- Develop advanced authentication features like refresh tokens.
- Build a reusable backend for future Python projects.
- Simplify storage of data with SQLAlchemy.
- Deploy REST APIs onto a cloud based server.
By the end of this training, participants will be able to:
- Implement a REST API to allow a Flask web application to read and write to a database in the backend.
- Develop advanced authentication features like refresh tokens.
- Build a reusable backend for future Python projects.
- Simplify storage of data with SQLAlchemy.
- Deploy REST APIs onto a cloud based server.
7 hours
This instructor-led, live training in Magyarország (online or onsite) is aimed at developers who wish to use PyGame to create and build games using Python programming.
By the end of this training, participants will be able to:
- Set up the necessary development environment to start creating game applications with PyGame and Python.
- Learn how to create interactive PyGame applications integrated with animations and multimedia features.
- Run and test game programs with PyGame test suite and convert them into executable files.
By the end of this training, participants will be able to:
- Set up the necessary development environment to start creating game applications with PyGame and Python.
- Learn how to create interactive PyGame applications integrated with animations and multimedia features.
- Run and test game programs with PyGame test suite and convert them into executable files.
7 hours
This instructor-led, live training in Magyarország (online or onsite) is aimed at developers who wish to use SciPy to create advanced scientific computing functions with Python.
By the end of this training, participants will be able to:
- Set up the necessary development environment to start creating scientific computing functions.
- Get the full benefit of SciPy features by performing practical examples of complex operations.
- Implement and optimize mathematical algorithms and functions to solve scientific problems.
- Design data structures and interpolation methods for visualization, processing, and analysis.
By the end of this training, participants will be able to:
- Set up the necessary development environment to start creating scientific computing functions.
- Get the full benefit of SciPy features by performing practical examples of complex operations.
- Implement and optimize mathematical algorithms and functions to solve scientific problems.
- Design data structures and interpolation methods for visualization, processing, and analysis.
14 hours
This instructor-led, live training in Magyarország (online or onsite) is aimed at developers who wish to use FastAPI with Python to build, test, and deploy RESTful APIs easier and faster.
By the end of this training, participants will be able to:
- Set up the necessary development environment to develop APIs with Python and FastAPI.
- Create APIs quicker and easier using the FastAPI library.
- Learn how to create data models and schemas based on Pydantic and OpenAPI.
- Connect APIs to a database using SQLAlchemy.
- Implement security and authentication in APIs using the FastAPI tools.
- Build container images and deploy web APIs to a cloud server.
By the end of this training, participants will be able to:
- Set up the necessary development environment to develop APIs with Python and FastAPI.
- Create APIs quicker and easier using the FastAPI library.
- Learn how to create data models and schemas based on Pydantic and OpenAPI.
- Connect APIs to a database using SQLAlchemy.
- Implement security and authentication in APIs using the FastAPI tools.
- Build container images and deploy web APIs to a cloud server.
14 hours
This instructor-led, live training in Magyarország (online or onsite) is aimed at data scientists and software engineers who wish to use Dask with the Python ecosystem to build, scale, and analyze large datasets.
By the end of this training, participants will be able to:
- Set up the environment to start building big data processing with Dask and Python.
- Explore the features, libraries, tools, and APIs available in Dask.
- Understand how Dask accelerates parallel computing in Python.
- Learn how to scale the Python ecosystem (Numpy, SciPy, and Pandas) using Dask.
- Optimize the Dask environment to maintain high performance in handling large datasets.
By the end of this training, participants will be able to:
- Set up the environment to start building big data processing with Dask and Python.
- Explore the features, libraries, tools, and APIs available in Dask.
- Understand how Dask accelerates parallel computing in Python.
- Learn how to scale the Python ecosystem (Numpy, SciPy, and Pandas) using Dask.
- Optimize the Dask environment to maintain high performance in handling large datasets.
28 hours
In this instructor-led, live training in Magyarország, participants will learn advanced Python programming techniques, including how to apply this versatile language to solve problems in areas such as distributed applications, data analysis and visualization, UI programming and maintenance scripting.
21 hours
In this instructor-led, live training in Magyarország, participants will learn how to use Python and Spark together to analyze big data as they work on hands-on exercises.
By the end of this training, participants will be able to:
- Learn how to use Spark with Python to analyze Big Data.
- Work on exercises that mimic real world cases.
- Use different tools and techniques for big data analysis using PySpark.
By the end of this training, participants will be able to:
- Learn how to use Spark with Python to analyze Big Data.
- Work on exercises that mimic real world cases.
- Use different tools and techniques for big data analysis using PySpark.
14 hours
This course is designed for those wishing to learn the Python programming language. The emphasis is on the Python language, the core libraries, as well as on the selection of the best and most useful libraries developed by the Python community. Python drives businesses and is used by scientists all over the world – it is one of the most popular programming languages.
35 hours
The training course will help the participants prepare for Web Application Development using Python Programming with Data Analytics. Such data visualization is a great tool for Top Management in decision making.
14 hours
The aim of this course is to provide a basic proficiency in applying Machine Learning methods in practice. Through the use of the Python programming language and its various libraries, and based on a multitude of practical examples this course teaches how to use the most important building blocks of Machine Learning, how to make data modeling decisions, interpret the outputs of the algorithms and validate the results.
Our goal is to give you the skills to understand and use the most fundamental tools from the Machine Learning toolbox confidently and avoid the common pitfalls of Data Sciences applications.
Our goal is to give you the skills to understand and use the most fundamental tools from the Machine Learning toolbox confidently and avoid the common pitfalls of Data Sciences applications.
14 hours
This instructor-led, live training in Magyarország is based on the popular book, "Automate the Boring Stuff with Python", by Al Sweigart. It is aimed at beginners and covers essential Python programming concepts through practical, hands-on exercises and discussions. The focus is on learning to write code to dramatically increase office productivity.
By the end of this training, participants will know how to program in Python and apply this new skill for:
- Automating tasks by writing simple Python programs.
- Writing programs that can do text pattern recognition with "regular expressions".
- Programmatically generating and updating Excel spreadsheets.
- Parsing PDFs and Word documents.
- Crawling web sites and pulling information from online sources.
- Writing programs that send out email notifications.
- Use Python's debugging tools to quickly resolve bugs.
- Programmatically controlling the mouse and keyboard to click and type for you.
By the end of this training, participants will know how to program in Python and apply this new skill for:
- Automating tasks by writing simple Python programs.
- Writing programs that can do text pattern recognition with "regular expressions".
- Programmatically generating and updating Excel spreadsheets.
- Parsing PDFs and Word documents.
- Crawling web sites and pulling information from online sources.
- Writing programs that send out email notifications.
- Use Python's debugging tools to quickly resolve bugs.
- Programmatically controlling the mouse and keyboard to click and type for you.
21 hours
In this instructor-led, live training in Magyarország, participants will learn the most relevant and cutting-edge machine learning techniques in Python as they build a series of demo applications involving image, music, text, and financial data.
By the end of this training, participants will be able to:
- Implement machine learning algorithms and techniques for solving complex problems.
- Apply deep learning and semi-supervised learning to applications involving image, music, text, and financial data.
- Push Python algorithms to their maximum potential.
- Use libraries and packages such as NumPy and Theano.
By the end of this training, participants will be able to:
- Implement machine learning algorithms and techniques for solving complex problems.
- Apply deep learning and semi-supervised learning to applications involving image, music, text, and financial data.
- Push Python algorithms to their maximum potential.
- Use libraries and packages such as NumPy and Theano.
14 hours
Pandas is a Python package that provides data structures for working with structured (tabular, multidimensional, potentially heterogeneous) and time series data.
14 hours
This instructor-led, live training in Magyarország (online or onsite) is aimed at data analysts who wish to build analytic applications using Python with Plotly and Dash.
By the end of this training, participants will be able to:
- Set up a real-time interactive dashboard for streaming live updating data.
- Build interactive dashboards using Python for data science solutions.
- Secure interactive dashboards with advanced authentication methods.
By the end of this training, participants will be able to:
- Set up a real-time interactive dashboard for streaming live updating data.
- Build interactive dashboards using Python for data science solutions.
- Secure interactive dashboards with advanced authentication methods.
21 hours
In this instructor-led, live training in Magyarország, participants will learn how to use PyTest to write short, maintainable tests that are elegant, expressive and readable.
By the end of this training, participants will be able to:
- Write readable and maintainable tests without the need for boilerplate code.
- Use the fixture model to write small tests.
- Scale tests up to complex functional testing for applications, packages, and libraries.
- Understand and apply PyTest features such as hooks, assert rewriting and plug-ins.
- Reduce test times by running tests in parallel and across multiple processors.
- Run tests in a continuous integration environment, together with other utilities such as tox, mock, coverage, unittest, doctest and Selenium.
- Use Python to test non-Python applications.
By the end of this training, participants will be able to:
- Write readable and maintainable tests without the need for boilerplate code.
- Use the fixture model to write small tests.
- Scale tests up to complex functional testing for applications, packages, and libraries.
- Understand and apply PyTest features such as hooks, assert rewriting and plug-ins.
- Reduce test times by running tests in parallel and across multiple processors.
- Run tests in a continuous integration environment, together with other utilities such as tox, mock, coverage, unittest, doctest and Selenium.
- Use Python to test non-Python applications.
28 hours
The aim of this course is to provide general proficiency in applying Machine Learning methods in practice. Through the use of the Python programming language and its various libraries, and based on a multitude of practical examples this course teaches how to use the most important building blocks of Machine Learning, how to make data modeling decisions, interpret the outputs of the algorithms and validate the results.
Our goal is to give you the skills to understand and use the most fundamental tools from the Machine Learning toolbox confidently and avoid the common pitfalls of Data Sciences applications.
Our goal is to give you the skills to understand and use the most fundamental tools from the Machine Learning toolbox confidently and avoid the common pitfalls of Data Sciences applications.
28 hours
This course introduces linguists or programmers to NLP in Python. During this course we will mostly use nltk.org (Natural Language Tool Kit), but also we will use other libraries relevant and useful for NLP. At the moment we can conduct this course in Python 2.x or Python 3.x. Examples are in English or Mandarin (普通话). Other languages can be also made available if agreed before booking.
35 hours
Python is a programming language that has gained huge popularity in the financial industry. Adopted by the largest investment banks and hedge funds, it is being used to build a wide range of financial applications ranging from core trading programs to risk management systems.
In this instructor-led, live training, participants will learn how to use Python to develop practical applications for solving a number of specific finance related problems.
By the end of this training, participants will be able to:
- Understand the fundamentals of the Python programming language
- Download, install and maintain the best development tools for creating financial applications in Python
- Select and utilize the most suitable Python packages and programming techniques to organize, visualize, and analyze financial data from various sources (CSV, Excel, databases, web, etc.)
- Build applications that solve problems related to asset allocation, risk analysis, investment performance and more
- Troubleshoot, integrate, deploy, and optimize a Python application
Audience
- Developers
- Analysts
- Quants
Format of the course
- Part lecture, part discussion, exercises and heavy hands-on practice
Note
- This training aims to provide solutions for some of the principle problems faced by finance professionals. However, if you have a particular topic, tool or technique that you wish to append or elaborate further on, please please contact us to arrange.
In this instructor-led, live training, participants will learn how to use Python to develop practical applications for solving a number of specific finance related problems.
By the end of this training, participants will be able to:
- Understand the fundamentals of the Python programming language
- Download, install and maintain the best development tools for creating financial applications in Python
- Select and utilize the most suitable Python packages and programming techniques to organize, visualize, and analyze financial data from various sources (CSV, Excel, databases, web, etc.)
- Build applications that solve problems related to asset allocation, risk analysis, investment performance and more
- Troubleshoot, integrate, deploy, and optimize a Python application
Audience
- Developers
- Analysts
- Quants
Format of the course
- Part lecture, part discussion, exercises and heavy hands-on practice
Note
- This training aims to provide solutions for some of the principle problems faced by finance professionals. However, if you have a particular topic, tool or technique that you wish to append or elaborate further on, please please contact us to arrange.
21 hours
A geographic information system (GIS) is a system designed to capture, store, manipulate, analyze, manage, and present spatial or geographic data. The acronym GIS is sometimes used for geographic information science (GIScience) to refer to the academic discipline that studies geographic information systems and is a large domain within the broader academic discipline of geoinformatics.
The use of Python with GIS has substantially increased over the last two decades, particularly with the introduction of Python 2.0 series in 2000, which included many new programming features that made the language much easier to deploy. Since that time, Python has not only been utilized within commercial GIS such as products by Esri but also open source platforms, including as part of QGIS and GRASS. In fact, Python today is by far the most widely used language by GIS users and programmers.
This program covers the usage of Python and its advance libraries like geopandas, pysal, bokeh and osmnx to implement your own GIS features. The program also covers introductory modules around ArcGIS API, and QGIS toolboox.
The use of Python with GIS has substantially increased over the last two decades, particularly with the introduction of Python 2.0 series in 2000, which included many new programming features that made the language much easier to deploy. Since that time, Python has not only been utilized within commercial GIS such as products by Esri but also open source platforms, including as part of QGIS and GRASS. In fact, Python today is by far the most widely used language by GIS users and programmers.
This program covers the usage of Python and its advance libraries like geopandas, pysal, bokeh and osmnx to implement your own GIS features. The program also covers introductory modules around ArcGIS API, and QGIS toolboox.
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