Lokala instruktionsledda Python-kurser visar genom handson övning av olika aspekter av Pythons programmeringsspråk Några av de ämnen som omfattas är grunden för Python programmering, avancerad Python programmering, Python för testautomatisering, Python scripting och automation samt Python för Data Analysis och Big Data applikationer inom områden som Finance, Banking and Insurance NobleProg Python-kurser omfattar också början och avancerade kurser i användningen av Python-bibliotek och ramverk för maskinlärning och djupt lärande Python-träning finns som "live-träning på plats" eller "fjärr-live-träning" Utbildning på plats kan genomföras lokalt på kundlokaler i Sverige eller i NobleProgs företagsutbildningscenter i Sverige Fjärrutbildning sker genom en interaktiv fjärrskrivbord NobleProg Din lokala utbildningsleverantör.
Machine Translated
Vittnesmål
Jag föredrog träningen och lära mig om Python krokar och krokar
Connor Brierley-Green
Kurs: Python Programming
Machine Translated
Joey har en smittsam entusiasm om programmering. Och han var väldigt bra på att anpassa sig till våra behov och intressen på flugan.
Randy Enkin
Kurs: Python Programming
Machine Translated
Många exempel gjorde mig lätt att förstå.
Lingmin Cao
Kurs: Python Programming
Machine Translated
Den omfattande kunskapen i guiden till alla våra frågor gav svar överväldigande Mina förväntningar ... Föreläsaren genomför stora diskussioner ... Han saknar tålamod ...
Łukasz Matulewicz
Kurs: Programowanie w języku Python
Machine Translated
Stor kunskap om föreläsaren, mångfald av verktyg och praktisk inriktning på ämnet M
Magdalena Stupak
Kurs: Programowanie w języku Python
Machine Translated
stor kunskap om tränaren, hur man översätter
Renata Cylejowska
Kurs: Programowanie w języku Python
Machine Translated
Fakta att anpassningen togs på allvar.
jurgen linsen
Kurs: Python Programming
Machine Translated
Som jag var den enda deltagaren kunde träningen anpassas till mina behov.
Kevin THIERRY
Kurs: Web Development with Web2Py
Machine Translated
Jag tyckte om övningarna.
Office for National Statistics
Kurs: Natural Language Processing with Python
Machine Translated
Jag gillade den hjälpsamma och väldigt snälla.
Natalia Machrowicz
Kurs: Python Programming
Machine Translated
Vi gjorde praktiska övningar (de skript vi skrev kan användas i vårt dagliga arbete). Det gjorde kursen väldigt intressant. Jag gillade också hur tränaren delade sin kunskap. Han gjorde det på ett mycket tillgängligt sätt.
Malwina Sawa
Kurs: Python Programming
Machine Translated
Mycket bra sätt att memorera / upprepa nyckelämnena. Mycket trevliga uppvärmningsövningar.
Kurs: Python Programming
Machine Translated
* Trevliga övningar. * Flyttade snabbt till mer avancerade ämnen. * Trainer var vänlig och lätt att gå vidare med. * Anpassad kurs för behov av team.
Matthew Lucas
Kurs: Python Programming
Machine Translated
Jag tyckte om felixibility att lägga till specifika ämnen i kursen / lektionerna.
Marc Ammann
Kurs: Python Programming
Machine Translated
Alla gillar det
蒙 李
Kurs: Machine Learning Fundamentals with Python
Machine Translated
tränaren tittade på och hjälpte varje person individuellt
Szymon Wolny
Kurs: Programowanie w języku Python
Machine Translated
En uppsättning övningar som är idealiska för ämnet. Övningar enkelt och "med en stjärna" Mot
Motorola Solutions Systems Polska Sp. z o.o
Kurs: Programowanie w języku Python
Machine Translated
Bra balans teori / övningar, justering av föreläsningar till lyssnare mindre och mer erfarna, ett mycket stort plus för att använda Jupiter Notebook och visa teorin i praktiken. Jag gillade också att samla anonym anonymitet efter träningens första del nästa dag allt var förberedt enligt våra förslag och trots att det redan var mycket bra så var det ännu bättre :)
Motorola Solutions Systems Polska Sp. z o.o
Kurs: Programowanie w języku Python
Machine Translated
lärarens engagemang, förberedelse, tillvägagångssätt för lyssnare, vilja att förklara alla tvetydigheter Mał
Małgorzata Konior
Kurs: Programowanie w języku Python
Machine Translated
Att ledaren närmar sig alla, även när han inte kräver hjälp och kontrollerar träningsnivån. Agn
Agnieszka Bielak
Kurs: Programowanie w języku Python
Machine Translated
Tränaren presenterade en mycket kort teori om en given fråga och vi gick genast till träning. Ett bra sätt att hänga ut kort, vilket ger tränaren information om hur mycket tid han måste spendera på en viss uppgift, och vem som annars har problem med lösningen. Motor
Motorola Solutions Systems Polska Sp. z o.o
Kurs: Programowanie w języku Python
Machine Translated
Att även om någon inte begärde det, men du kunde se att han inte gick framåt med uppgiften kom Krzysztof upp och kunde ge råd M
Motorola Solutions Systems Polska Sp. z o.o
Kurs: Programowanie w języku Python
Machine Translated
Sättet att genomföra, övningarna, allt som allt gillade, jag är väldigt glad att jag kom till en sådan tränare Mak
Maksym Kolodiy
Kurs: Programowanie w języku Python
Machine Translated
Verkliga exempel på övningar
Motorola Solutions Systems Polska Sp. z o.o
Kurs: Programowanie w języku Python
Machine Translated
Tillgänglighet av träningsmaterial (Jupyter), skapat kontinuerligt uppdatering av anteckningsboken beroende på frågorna som föll under kursen. Dispelling tvivel, svar på alla frågor. Mot
Motorola Solutions Systems Polska Sp. z o.o
Kurs: Programowanie w języku Python
Machine Translated
Tillgänglighet och ett intressant sätt att leverera läromedel.
Motorola Solutions Systems Polska Sp. z o.o
Kurs: Programowanie w języku Python
Machine Translated
Arbeta på xlsx och csv-filer
Łukasz Olczyk
Kurs: Python: Automate the boring stuff
Machine Translated
Fördjupad täckning av maskininlärning, särskilt neurala nätverk. Demystified mycket av ämnet.
Sacha Nandlall
Kurs: Python for Advanced Machine Learning
Machine Translated
Jag gillade den anpassade, in-house filhanteringen och dataanalysen.
Glycom A/S
Kurs: Data Analysis in Python using Pandas and Numpy
Machine Translated
Fallstudierna hjälpte oss att förstå hur vi kan tillämpa Python i branschen. Uppskattade verkligen tränarens hjälp under övningarna
Rajiv Dhingra - TCS
Kurs: Python Programming
Machine Translated
Eftersom vi är PHP utvecklare, förstod han situationen och tillät oss att sakta kartlägga saker mellan. Jag gillade exemplen och den humor han tilllade.
Soumya Tyagi - TCS
Kurs: Python Programming
Machine Translated
Jag tyckte om att vi har använt vår egen data som exempel.
Glycom A/S
Kurs: Data Analysis in Python using Pandas and Numpy
Machine Translated
Allt
MTU Aero Engines Polska Sp. z o. o.
Kurs: Programowanie w języku Python
Machine Translated
Intressanta frågor
MTU Aero Engines Polska Sp. z o. o.
Kurs: Programowanie w języku Python
Machine Translated
Olika beredda problem och exempel
MTU Aero Engines Polska Sp. z o. o.
Kurs: Programowanie w języku Python
Machine Translated
träningen är inte presentationsstilad. Vi kodade med han tränare ..
Bhutan Telecom
Kurs: Web Development with Django
Machine Translated
Jag åtnjöt mestadels allt.
Thukten Dendup - Bhutan Telecom
Kurs: Web Development with Django
Machine Translated
Det är en ny erfarenhet, en ny ram och ser fram emot att göra någonting med hjälp av lektionen lärd i klasserna ..
Jigme - Bhutan Telecom
Kurs: Web Development with Django
Machine Translated
Jag njöt verkligen av massor av laboratorier och metoder.
Vivian Feng - Destination Canada
Kurs: Data Analysis with SQL, Python and Spotfire
Machine Translated
Övningarna / laboratorierna skräddarsys för våra egna organisatoriska behov.
Destination Canada
Kurs: Data Analysis with SQL, Python and Spotfire
Machine Translated
Jag gillade i allmänhet ämnet.
Destination Canada
Kurs: Data Analysis with SQL, Python and Spotfire
Machine Translated
Tränaren delade verkliga ordupplevelser, det är trevligt att lära av verklig professionell.
Fednot
Kurs: Python Programming
Machine Translated
Tränaren var utmärkt, han var alltid redo att svara på mina frågor och dela så mycket kunskap som han kunde.
Fahad Malalla - Tatweer Petroleum
Kurs: Advanced Python
Machine Translated
1: 1 mycket intensiv men lärde sig mycket.
Karen Dyke - BT
Kurs: Python: Automate the Boring Stuff
Machine Translated
betoning på exempel med kodning "på projektorn" är definitivt på + för Tom.
ADVA OPTICAL NETWORKING SP. ZO O.
Kurs: Advanced Python
Machine Translated
Jag tyckte mest om ämnet.
Proximus
Kurs: Python Programming
Machine Translated
Hur övningarna organiserades: allt i eget tempo och Antonio där för att hjälpa dig vidare.
Proximus
Kurs: Python Programming
Machine Translated
Jag gillade den tillräckliga och mycket detaljerade läsning material och exempel (dia bilder).
HC Consumer Finance Philippines, Inc.
Kurs: Python Programming
Machine Translated
Jag gillade verkligen na.
HC Consumer Finance Philippines, Inc.
Kurs: Python Programming
Machine Translated
Vad jag gillar mest med utbildningen är att allt i kurs dispositionen är något som kommer att vara användbart för våra projekt.
Joanna Marie Escueta - Aarki, Inc.
Kurs: Python Programming
Machine Translated
Mycket bra sätt att memorera / upprepa nyckelämnena. Mycket trevliga uppvärmningsövningar.
Kurs: Python Programming
Machine Translated
Python läroplaner
Kurs Namn
Varaktighet
Översikt
Kurs Namn
Varaktighet
Översikt
28 timmar
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.
28 timmar
In this instructor-led, live training in Sverige, 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 timmar
In this instructor-led, live training in Sverige, 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 timmar
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 timmar
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 timmar
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 timmar
This instructor-led, live training in Sverige 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 timmar
In this instructor-led, live training in Sverige, 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 timmar
Pandas is a Python package that provides data structures for working with structured (tabular, multidimensional, potentially heterogeneous) and time series data.
21 timmar
In this instructor-led, live training in Sverige, 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.
14 timmar
This instructor-led, live training in Sverige (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.
28 timmar
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 timmar
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 timmar
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 timmar
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.
35 timmar
This is a 5 day introduction to Data Science and Artificial Intelligence (AI).
The course is delivered with examples and exercises using Python
The course is delivered with examples and exercises using Python
28 timmar
This is a 4 day course introducing AI and it's application using the Python programming language. There is an option to have an additional day to undertake an AI project on completion of this course.
21 timmar
Deep Reinforcement Learning refers to the ability of an "artificial agent" to learn by trial-and-error and rewards-and-punishments. An artificial agent aims to emulate a human's ability to obtain and construct knowledge on its own, directly from raw inputs such as vision. To realize reinforcement learning, deep learning and neural networks are used. Reinforcement learning is different from machine learning and does not rely on supervised and unsupervised learning approaches.
In this instructor-led, live training, participants will learn the fundamentals of Deep Reinforcement Learning as they step through the creation of a Deep Learning Agent.
By the end of this training, participants will be able to:
- Understand the key concepts behind Deep Reinforcement Learning and be able to distinguish it from Machine Learning
- Apply advanced Reinforcement Learning algorithms to solve real-world problems
- Build a Deep Learning Agent
Audience
- Developers
- Data Scientists
Format of the course
- Part lecture, part discussion, exercises and heavy hands-on practice
In this instructor-led, live training, participants will learn the fundamentals of Deep Reinforcement Learning as they step through the creation of a Deep Learning Agent.
By the end of this training, participants will be able to:
- Understand the key concepts behind Deep Reinforcement Learning and be able to distinguish it from Machine Learning
- Apply advanced Reinforcement Learning algorithms to solve real-world problems
- Build a Deep Learning Agent
Audience
- Developers
- Data Scientists
Format of the course
- Part lecture, part discussion, exercises and heavy hands-on practice
14 timmar
In this instructor-led, live training in Sverige 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.
14 timmar
In this instructor-led, live training in Sverige (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.
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.
14 timmar
In this instructor-led, live training in Sverige, 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.
Format of the Course
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
7 timmar
This instructor-led, live training in Sverige 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.
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.
21 timmar
This instructor-led, live training in Sverige (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.
14 timmar
This instructor-led, live training in Sverige (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.
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.
14 timmar
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
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
28 timmar
In this instructor-led, live training in Sverige, participants will learn how to implement deep learning models for telecom using Python as they step through the creation of a deep learning credit risk model.
By the end of this training, participants will be able to:
- Understand the fundamental concepts of deep learning.
- Learn the applications and uses of deep learning in telecom.
- Use Python, Keras, and TensorFlow to create deep learning models for telecom.
- Build their own deep learning customer churn prediction model using Python.
By the end of this training, participants will be able to:
- Understand the fundamental concepts of deep learning.
- Learn the applications and uses of deep learning in telecom.
- Use Python, Keras, and TensorFlow to create deep learning models for telecom.
- Build their own deep learning customer churn prediction model using Python.
28 timmar
This instructor-led, live training in Sverige (online or onsite) is aimed at persons who wish to learn just enough Python to begin crunching numbers from sales data, traffic analytics, customer interactions, etc..
By the end of this training, participants will be able to:
- Install and configure the necessary software, libraries and development environment to begin writing Python code for data analysis.
- Analyze data from sources such as Excel, CSV, JSON files and databases.
- Clean data to improve its usefulness before analyzing it.
- Perform simple statistical analysis.
- Generate reports that present the desired data in just the right format, from straight numbers to data visualizations.
- Gain valuable insight from data, including trends in performance, problematic areas.
By the end of this training, participants will be able to:
- Install and configure the necessary software, libraries and development environment to begin writing Python code for data analysis.
- Analyze data from sources such as Excel, CSV, JSON files and databases.
- Clean data to improve its usefulness before analyzing it.
- Perform simple statistical analysis.
- Generate reports that present the desired data in just the right format, from straight numbers to data visualizations.
- Gain valuable insight from data, including trends in performance, problematic areas.
7 timmar
In this instructor-led, live training, 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.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- If you wish to add, remove or customize any section or topic within this course, please contact us to arrange.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- If you wish to add, remove or customize any section or topic within this course, please contact us to arrange.
14 timmar
This instructor-led, live training in Sverige (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 timmar
This instructor-led, live training in Sverige (online or onsite) is aimed at developers who wish to use Python to automate the process of crawling many websites to extract data for processing and analysis.
By the end of this training, participants will be able to:
- Install and configure Python and all relevant packages.
- Retrieve and parse data stored across many different websites.
- Understand how websites work and how their HTML is structured.
- Construct spiders to crawl the web at scale.
- Use Selenium to crawl AJAX-driven web pages.
By the end of this training, participants will be able to:
- Install and configure Python and all relevant packages.
- Retrieve and parse data stored across many different websites.
- Understand how websites work and how their HTML is structured.
- Construct spiders to crawl the web at scale.
- Use Selenium to crawl AJAX-driven web pages.
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