Python Počítačové Kurzy

This instructor-led, live training in České republice (online or onsite) is aimed at data analysts and anyone who is interested to learn how to use and integrate Tableau, Python, R, and SQL for data visualization and analysis. By the end of this training, participants will be able to:

• Perform data analysis using Python, R, and SQL.
• Create insights through data visualization with Tableau.
• Make data-driven decisions for business operations.

Python je měřitelný, flexibilní a široce používaný programovací jazyk pro datovou vědu a strojové učení. Spark je datový procesor používaný při vyhledávání, analýze a transformaci velkých dat, zatímco Hadoop je rámec knihovny softwaru pro ukládání a zpracování velkých dat. Tento výcvik vedený instruktorem (online nebo on-site) je zaměřen na vývojáře, kteří chtějí používat a integrovat Spark, Hadoop, a Python k zpracování, analýze a transformaci velkých a složitých datových souborů. Po ukončení tohoto tréninku budou účastníci schopni:

Vytvořte nezbytné prostředí k zahájení zpracování velkých dat pomocí Spark, Hadoop, a Python. Pochopte vlastnosti, klíčové složky a architekturu Spark a Hadoop. Naučte se, jak integrovat Spark, Hadoop, a Python pro zpracování velkých dat. Prozkoumejte nástroje v ekosystému Spark (Spark MlLib, Spark Streaming, Kafka, Sqoop, Kafka a Flume). Vytvořte společné systémy doporučení pro filtrování podobné Netflix, YouTube, Amazon, Spotify a Google. Použijte Apache Mahout pro skalování algoritmů strojového učení.

Formát kurzu

Interaktivní přednáška a diskuse. Mnoho cvičení a praxe. Hands-on implementace v živém laboratoři prostředí.

Možnosti personalizace kurzu

Chcete-li požádat o přizpůsobené školení pro tento kurz, kontaktujte nás, abyste uspořádali.

This instructor-led, live training in České republice (online or onsite) is aimed at data scientists and developers who wish to use and integrate SQL, Python, and Tableau to perform complex data analysis, processing, and visualization. By the end of this training, participants will be able to:

• Set up the necessary environment to perform data analysis with SQL, Python, and Tableau.
• Understand the key concepts of software integration (data, servers, clients, APIs, endpoints, etc.).
• Get a refresher on the fundamentals of Python and SQL.
• Perform data pre-processing techniques in Python.
• Learn how to connect Python and SQL for data analysis.
• Create insightful data visualizations and charts with Tableau.

This instructor-led, live training in České republice (online or onsite) is aimed at developers who wish to use the FARM (FastAPI, React, and MongoDB) stack to build dynamic, high-performance, and scalable web applications. By the end of this training, participants will be able to:

• Set up the necessary development environment that integrates FastAPI, React, and MongoDB.
• Understand the key concepts, features, and benefits of the FARM stack.
• Learn how to build REST APIs with FastAPI.
• Learn how to design interactive applications with React.
• Develop, test, and deploy applications (front end and back end) using the FARM stack.

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.

In this instructor-led, live training in České republice, 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.

In this instructor-led, live training in České republice, 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.

Tento kurz je určen pro ty, kteří se chtějí naučit Python programovací jazyk. Důraz je kladen na Python jazyk, základní knihovny, stejně jako na výběr nejlepších a nejvhodnější knihovny vyvinuté komunitou Python. Python provozuje společnost a je používán vědci po celém světě – je jedním z nejpopulárnějších programovacích jazyků.

Kurz školení pomůže účastníkům připravit se na vývoj webových aplikací pomocí Python Programming s Data Analytics. Taková vizualizace dat je skvělým nástrojem pro Top Management v rozhodování.

Cílem tohoto kurzu je poskytnout základní dovednosti při uplatňování Machine Learning metod v praxi. Prostřednictvím používání Python programovacího jazyka a jeho různých knihoven a na základě mnoha praktických příkladů se tento kurz učí, jak používat nejdůležitější stavební bloky Machine Learning, jak činit data modelování rozhodnutí, interpretovat výstupy algoritmů a validovat výsledky. Naším cílem je poskytnout vám dovednosti k pochopení a důvěryhodnému používání nejzákladnějších nástrojů z nástrojové krabice Machine Learning a vyhnout se běžným úderům aplikací Data Science.

This instructor-led, live training in České republice 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.

In this instructor-led, live training in České republice, 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.

Pandas is a Python package that provides data structures for working with structured (tabular, multidimensional, potentially heterogeneous) and time series data.

In this instructor-led, live training in České republice, 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.

This instructor-led, live training in České republice (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.

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.

Tento kurz představuje lingvisty nebo programátory k NLP v Python. Během tohoto kurzu budeme většinou používat nltk.org (Natural Language Tool Kit), ale také budeme používat další knihovny relevantní a užitečné pro NLP. V současné době můžeme tento kurz provádět v Python 2.x nebo Python 3.x. Příklady jsou v angličtině nebo mandarině (普通话). Další jazyky mohou být také k dispozici v případě dohody před rezervací.

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.

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.

Toto je 5denní úvod do Data Science a AI. Kurz je dodáván s příklady a cvičeními využívajícími Python

Jedná se o 4denní kurz, který zavádí AI a jeho aplikaci pomocí Python programovacího jazyka. Existuje možnost mít další den k zahájení projektu AI po dokončení tohoto kurzu. 

Hlubka Reinforcement Learning se odkazuje na schopnost & quot; artificial agent", aby se naučil zkušením a chybam a výhrady. Umělný agent cílí emulaci lidského ' schopnost získat a vytvořit svůj vlastní znalost, přímo z surovéch vstupů, například vize. Aby se zjistili povzbuzení učiní, jsou používány hlubokou učenství a neurální sítě. Učení povzbuzení je jiné od vyučených strojů a nezáleží na nadzorných a nevzájemných přístupů učit.V tomto instruktorům budou účastníci naučit základní základy Hluby Reinforcement Learning, když přes vytvoření agentu Deep Learning.Až do konce tohoto školy budou účastníci umožni:

Porozumět klíčové koncepce za Hlubkou Reinforcement Learning a bude možné je rozdělit od Machine Learning Použijte pokročené algoritmy Reinforcement Learning k řešení problémů reálního světa Stvořit Deep Learning Agent

Slušenství

Vývojci Data vědeců

Formatu práce

Částní předmět, částní diskusie, vztahů a těžké rukové praxi

In this instructor-led, live training in České republice participants combine the power of Python with Selenium to automate the testing of a sample web application. By combining theory with practice in a live lab environment, participants will gain the knowledge and practice needed to automate their own web testing projects using Python and Selenium.

In this instructor-led, live training in České republice (onsite or remote), participants will learn how to combine the capabilities of Python and Excel. By the end of this training, participants will be able to:

• Install and configure packages for integrating Python and Excel.
• Read, write, and manipulate Excel files using Python.
• Call Python functions from Excel.

In this instructor-led, live training in České republice, participants will learn three different approaches for accessing, analyzing and visualizing data. We start with an introduction to RDMS databases; the focus will be on accessing and querying an Oracle database using the SQL language. Then we look at strategies for accessing an RDMS database programmatically using the Python language. Finally, we look at how to visualize and present data graphically using TIBCO Spotfire.  Format of the Course
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.

This instructor-led, live training in České republice begins with a discussion of BDD and how the Behave framework can be used to carry out BDD testing for web applications. Participants are given ample opportunity to interact with the instructor and peers while implementing the concepts and tactics learned in this hands-on, practice-based lab environment. By the end of this training, participants will have a firm understanding of BDD and Behave, as well as the necessary practice to implement these techniques and tools in real-world test scenarios.

This instructor-led, live training in České republice (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.

This instructor-led, live training in České republice (online or onsite) is aimed at Matlab users who wish to explore and or transition to Python for data analytics and visualization. By the end of this training, participants will be able to:

• Install and configure a Python development environment.
• Understand the differences and similarities between Matlab and Python syntax.
• Use Python to obtain insights from various datasets. 
• Convert existing Matlab applications to Python. 
• Integrate Matlab and Python applications.

Object-Oriented Programming (OOP) is a programming paradigm based around the concept of objects. OOP is more data-focused rather than logic-focused. Python is a high-level programming language famous for its clear syntax and code readibility. In this instructor-led, live training, participants will learn how to get started with Object-Oriented Programming using Python. By the end of this training, participants will be able to:

• Understand the fundamental concepts of Object-Oriented Programming
• Understand the OOP syntax in Python
• Write their own object-oriented program in Python

Audience

• Beginners who would like to learn about Object-Oriented Programming
• Developers interested in learning OOP in Python
• Python programmers interested in learning OOP

Format of the course

• Part lecture, part discussion, exercises and heavy hands-on practice

Machine learning je odvětví umělé inteligence, ve kterém mají počítače schopnost učit se bez výslovného programování. Hluboké učení je podzemí strojového učení, které využívá metody založené na vzdělávacích údajích a strukturách, jako jsou neurální sítě. Python je programovací jazyk vysoké úrovně známý pro jeho jasný syntax a čitelnost kódu. V tomto instruktorově vedeném, živém tréninku se účastníci naučí, jak implementovat modely hlubokého učení pro telekomunikace pomocí Python jak postupují prostřednictvím vytvoření modelu hlubokého učení úvěrového rizika. Po ukončení tohoto tréninku budou účastníci schopni:

Pochopte základní pojmy hlubokého učení. Naučte se aplikace a využití hlubokého učení v telekomunikacích. Použijte Python, Keras a TensorFlow k vytvoření hlubokých modelů učení pro telekom. Vytvořte si vlastní model předpovědi hlubokého učení zákazníků pomocí Python.

Formát kurzu

Interaktivní přednáška a diskuse. Mnoho cvičení a praxe. Hands-on implementace v živém laboratoři prostředí.

Možnosti personalizace kurzu

Chcete-li požádat o přizpůsobené školení pro tento kurz, kontaktujte nás, abyste uspořádali.