Python Training Courses

Python Training Courses

Local instructor-led live Python training courses in България.

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Python Course Outlines

Име на Kурса
Продължителност
Общ преглед
Име на Kурса
Продължителност
Общ преглед
35 hours
This instructor-led, live training in България (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.
21 hours
Python е скалиращ, гъвкав и широко използван език за програмиране за компютърна наука и машинно обучение. Spark е двигател за обработка на данни, използван за търсене, анализ и трансформация на големи данни, докато Hadoop е софтуерна библиотека рамка за съхранение и обработка на данни в голям мащаб. Това обучение, ръководено от инструктори, е насочено към разработчици, които искат да използват и интегрират Spark, Hadoop, и Python за обработка, анализ и трансформация на големи и сложни набори от данни. В края на обучението участниците ще могат да:
    Създайте необходимата среда, за да започнете обработката на големи данни с Spark, Hadoop, и Python. Разберете характеристиките, основните компоненти и архитектурата на Spark и Hadoop. Научете как да интегрирате Spark, Hadoop, и Python за обработка на големи данни. Разгледайте инструментите в екосистемата Spark (Spark MlLib, Spark Streaming, Kafka, Sqoop, Kafka и Flume). Създайте съвместни системи за филтриране, подобни на Netflix, YouTube, Amazon, Spotify и Google. Използвайте Apache Mahout, за да скалирате алгоритмите за машинно обучение.
Формат на курса
    Интерактивна лекция и дискусия. Много упражнения и упражнения. Изпълнение на ръката в живо лабораторна среда.
Опции за персонализиране на курса
    За да поискате персонализирано обучение за този курс, моля, свържете се с нас, за да организирате.
14 hours
This instructor-led, live training in България (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.
14 hours
This instructor-led, live training in България (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.
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.
28 hours
In this instructor-led, live training in България, 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 България, 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.
14 hours
Този курс е предназначен за тези, които искат да научат Python език за програмиране. Акцентът е върху Python езика, основните библиотеки, както и върху избора на най-добрите и най-полезни библиотеки, разработени от Python общността. Python управлява бизнеса и се използва от учени по целия свят – това е един от най-популярните езици за програмиране.
35 hours
Курсът ще помогне на участниците да се подготвят за разработване на уеб приложения, като използват Python Programming с Data Analytics. Такова визуализиране на данни е чудесен инструмент за Топ Management в вземането на решения.
14 hours
Целта на този курс е да осигури основна компетентност в прилагането на Machine Learning методи в практиката. Чрез използването на Python програмния език и неговите различни библиотеки, и въз основа на множество практически примери този курс учи как да се използват най-важните строителни блокове на Machine Learning, как да се вземат решения за моделиране на данни, да се тълкуват резултатите от алгоритмите и да се валидират резултатите. Нашата цел е да ви предоставим уменията да разберете и използвате най-основните инструменти от Machine Learning инструменталната кутия с увереност и да избягвате често срещаните грешки в приложенията Data Science.
14 hours
This instructor-led, live training in България 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.
21 hours
In this instructor-led, live training in България, 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.
14 hours
Pandas is a Python package that provides data structures for working with structured (tabular, multidimensional, potentially heterogeneous) and time series data.
21 hours
In this instructor-led, live training in България, 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.
14 hours
This instructor-led, live training in България (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.
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.
28 hours
Този курс въвежда лингвисти или програмисти за NLP в Python. По време на този курс ще използваме най-вече nltk.org (Natural Language Tool Kit), но също така ще използваме други библиотеки, които са релевантни и полезни за NLP. В момента можем да извършим този курс в Python 2.x или Python 3.x. Примери са на английски или мандарински (普通话). Други езици също могат да бъдат предоставени, ако са договорени преди резервацията.
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.
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.
35 hours
This is a 5 day introduction to Data Science and Artificial Intelligence (AI). The course is delivered with examples and exercises using Python 
28 hours
Това е 4-дневен курс, който въвежда AI и прилагането му с помощта на Python програмния език. Има възможност да имате допълнителен ден, за да предприемете проект за ИИ при завършване на този курс. 
21 hours
Дълбокото Reinforcement Learning се свързва на способността на артификален агент" да научи чрез процедура и грешка и награда. Изкуството на цел да емулира човешко и#39; способност да получи и създаде познания, пряко от сирови входи като видение. За да се осъзнае подкреплението на учителство, се използва дълбоко учителство и неврални мрежи. Научването на преодоляването е различно от учителството на машини и не се обяви на надзора и не надгледащи подходи за учителство.В този инструктор, живо обучение, участниците ще научат основните на Дълбокото Reinforcement Learning, докато те стъпят през създаването на Deep Learning Агент.До края на този обучение участниците ще могат да:
    Разберете ключовите концепции зад Дълбокото Reinforcement Learning и можете да го разделите от Machine Learning Приложите напредни алгоритми Reinforcement Learning за решаване на проблемите на реално-святно изгради Deep Learning Агент
Слушателство
    Разработчиците данни научници
Формат на курса
    Частична лекция, частни дискусии, упражнения и тежки ръце на практика
14 hours
In this instructor-led, live training in България 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 hours
In this instructor-led, live training in България (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.
14 hours
In this instructor-led, live training in България, 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.
7 hours
This instructor-led, live training in България 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.
21 hours
This instructor-led, live training in България (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.
14 hours
This instructor-led, live training in България (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.
14 hours
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
28 hours
Машинното обучение е отрасъл на изкуствения интелект, в който компютрите имат способността да учат, без да бъдат изрично програмирани. Дълбокото обучение е подполе на машинното обучение, което използва методи, базирани на представления и структури на данни за учене, като например невронни мрежи. Python е високо ниво на програмиране език, известен със своята ясна синтеза и четене на кодове. В това обучение, ръководено от инструктори, участниците ще научат как да внедряват модели за дълбоко обучение за телекомуникации, като стъпват през създаването на модел за дълбоко обучение кредитен риск. В края на обучението участниците ще могат да:
    Разберете основните понятия за дълбоко учене. Научете приложенията и приложенията на дълбокото обучение в телекомуникациите. Използвайте Python, Keras и TensorFlow, за да създадете модели за дълбоко обучение за телекомуникации. Изградете своя собствен модел за предсказване на дълбокото обучение на клиента, като използвате Python.
Формат на курса
    Интерактивна лекция и дискусия. Много упражнения и упражнения. Изпълнение на ръката в живо лабораторна среда.
Опции за персонализиране на курса
    За да поискате персонализирано обучение за този курс, моля, свържете се с нас, за да организирате.

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