Deep Learning Prerequisites: The Numpy Stack in Python (V2+)

Course content

  • Welcome and Logistics
  • Numpy (New)
  • Matplotlib (New)
  • Pandas (New)
  • Scipy (New)
  • Bonus Exercises
  • Beginner Troubleshooting
  • Machine Learning Basics
  • Setting Up Your Environment (FAQ by Student Request)
  • Extra Help With Python Coding for Beginners (FAQ by Student Request)

Natural Language Processing (NLP) with Python Training Course

Duration

28 hours (usually 4 days including breaks)

Requirements

Basic Knowledge of Python

Overview

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.

Course Outline

Overview of Python packages related to NLP

Introduction to NLP (examples in Python of course)

  1. Simple Text Manipulation
    1. Searching Text
    2. Counting Words
    3. Splitting Texts into Words
    4. Lexical dispersion
  2. Processing complex structures
    1. Representing text in Lists
    2. Indexing Lists
    3. Collocations
    4. Bigrams
    5. Frequency Distributions
    6. Conditionals with Words
    7. Comparing Words (startswith, endswith, islower, isalpha, etc…)
  3. Natural Language Understanding
    1. Word Sense Disambiguation
    2. Pronoun Resolution
  4. Machine translations (statistical, rule based, literal, etc…)
  5. Exercises

NLP in Python in examples

  1. Accessing Text Corpora and Lexical Resources
    1. Common sources for corpora
    2. Conditional Frequency Distributions
    3. Counting Words by Genre
    4. Creating own corpus
    5. Pronouncing Dictionary
    6. Shoebox and Toolbox Lexicons
    7. Senses and Synonyms
    8. Hierarchies
    9. Lexical Relations: Meronyms, Holonyms
    10. Semantic Similarity
  2. Processing Raw Text
    1. Priting
    2. Struncating
    3. Extracting parts of string
    4. Accessing individual charaters
    5. Searching, replacing, spliting, joining, indexing, etc…
    6. Using regular expressions
    7. Detecting word patterns
    8. Stemming
    9. Tokenization
    10. Normalization of text
    11. Word Segmentation (especially in Chinese)
  3. Categorizing and Tagging Words
    1. Tagged Corpora
    2. Tagged Tokens
    3. Part-of-Speech Tagset
    4. Python Dictionaries
    5. Words to Propertieis mapping
    6. Automatic Tagging
    7. Determining the Category of a Word (Morphological, Syntactic, Semantic)
  4. Text Classification (Machine Learning)
    1. Supervised Classification
    2. Sentence Segmentation
    3. Cross Validation
    4. Decision Trees
  5. Extracting Information from Text
    1. Chunking
    2. Chinking
    3. Tags vs Trees
  6. Analyzing Sentence Structure
    1. Context Free Grammar
    2. Parsers
  7. Building Feature Based Grammars
    1. Grammatical Features
    2. Processing Feature Structures
  8. Analyzing the Meaning of Sentences
    1. Semantics and Logic
    2. Propositional Logic
    3. First-Order Logic
    4. Discourse Semantics
  9. Managing Linguistic Data
    1. Data Formats (Lexicon vs Text)
    2. Metadata

Learn Python With Simple Coding Examples

Towards Excellence!

Requirements

  • A background of computer programming

Description

The course covers basics using the simple coding examples taught in schools particularly for class IX-X-XI-XII levels. It is a good showcase of simple language based learning for programming in Python. A must as a ready reckoner for all who love to code and master the programming skills in particular. Happy Learning Guys! The course covers basics using the simple coding examples taught in schools particularly for class IX-X-XI-XII levels. It is a good showcase of simple language based learning for programming in Python. A must as a ready reckoner for all who love to code and master the programming skills in particular. Happy Learning Guys! The course covers basics using the simple coding examples taught in schools particularly for class IX-X-XI-XII levels. It is a good showcase of simple language based learning for programming in Python. A must as a ready reckoner for all who love to code and master the programming skills in particular. Happy Learning Guys! The course covers basics using the simple coding examples taught in schools particularly for class IX-X-XI-XII levels. It is a good showcase of simple language based learning for programming in Python. A must as a ready reckoner for all who love to code and master the programming skills in particular. Happy Learning Guys!

Happy Learning Guys.

Enjoy the coding journey.

Cheers.

Who this course is for:

  • Students/ Teachers/ Professionals

Course content

1 section • 10 lectures • 51m total length

Python Coding Projects Build a Web App Login Brute-Force

Learn Python step by step and with hands on Project

Requirements

  • Nothing just Patience and Eager to Learn !

Description

Python is a general-purpose interpreted, interactive, object-oriented, and high-level programming language. It was created by Guido van Rossum during 1985- 1990. Like Perl, Python source code is also available under the GNU General Public License (GPL). This tutorial gives enough understanding on Python programming language.

Why to Learn Python?

Python is a high-level, interpreted, interactive and object-oriented scripting language. Python is designed to be highly readable. It uses English keywords frequently where as other languages use punctuation, and it has fewer syntactical constructions than other languages.

Python is a MUST for students and working professionals to become a great Software Engineer specially when they are working in Web Development Domain. I will list down some of the key advantages of learning Python:

  • Python is Interpreted − Python is processed at runtime by the interpreter. You do not need to compile your program before executing it. This is similar to PERL and PHP.
  • Python is Interactive − You can actually sit at a Python prompt and interact with the interpreter directly to write your programs.
  • Python is Object-Oriented − Python supports Object-Oriented style or technique of programming that encapsulates code within objects.
  • Python is a Beginner’s Language − Python is a great language for the beginner-level programmers and supports the development of a wide range of applications from simple text processing to WWW browsers to games.

Characteristics of Python

Following are important characteristics of Python Programming −

  • It supports functional and structured programming methods as well as OOP.
  • It can be used as a scripting language or can be compiled to byte-code for building large applications.
  • It provides very high-level dynamic data types and supports dynamic type checking.
  • It supports automatic garbage collection.
  • It can be easily integrated with C, C++, COM, ActiveX, CORBA, and Java.

Python is one of the most widely used language over the web. I’m going to list few of them here:

  • Easy-to-learn − Python has few keywords, simple structure, and a clearly defined syntax. This allows the student to pick up the language quickly.
  • Easy-to-read − Python code is more clearly defined and visible to the eyes.
  • Easy-to-maintain − Python’s source code is fairly easy-to-maintain.
  • A broad standard library − Python’s bulk of the library is very portable and cross-platform compatible on UNIX, Windows, and Macintosh.
  • Interactive Mode − Python has support for an interactive mode which allows interactive testing and debugging of snippets of code.
  • Portable − Python can run on a wide variety of hardware platforms and has the same interface on all platforms.
  • Extendable − You can add low-level modules to the Python interpreter. These modules enable programmers to add to or customize their tools to be more efficient.
  • Databases − Python provides interfaces to all major commercial databases.
  • GUI Programming − Python supports GUI applications that can be created and ported to many system calls, libraries and windows systems, such as Windows MFC, Macintosh, and the X Window system of Unix.
  • Scalable − Python provides a better structure and support for large programs than shell scripting.

Who this course is for:

  • DevOps Engineers
  • DevSecOps Engineers
  • Developers
  • System Administrator
  • IT Engineers

Course content

2 sections • 23 lectures • 1h 36m total length

Learn Python From Scratch||Learn Python For Beginners

Be a Python Developer

Requirements

  • Internet
  • Laptop

Description

In this course you are going to learn about the python programming language and how to install and how to develop the python source code and getting a prior knowledge on the python programming language and learn the basics of python programming language.here u can learn python features and history of python.

Who this course is for:

  • Beginners Of Python
  • Python Developers

Course content

5 sections • 13 lectures • 33m total length

Introduction to Python – The Basics of Python in 1 Hour

Learn the hottest coding language quickly and easily.

Requirements

  • Have access to a laptop or PC connected to the internet.

Description

Do you want to become a programmer?

Are you interested in coding?

Well, you have come to the right place. In this course, you will learn the basics of the hottest coding languages out there. We will help you understand the logic behind the code, how to implement it, and even some of the practical applications of Python.

Don’t worry if you have never coded before. This course is designed to give you a ground-up overview of the basics of Python and it will be a quick way to understand the major concepts of programming in Python.

This course is a one-stop shop for Python aspirants. We will cover everything from data types, to variables, to functions. We will even go into great detail about conditional statements, exploring if and else statements, for loops, while loops, and more. We will also explain how to set up Python, when to use the online workspace and when you should download the Python terminal.

We encourage you to use this course as a stepping stone in your programming journey and we sincerely ask that if you enjoyed this course, please give us a review.

Get ready to dive into the world of Python with LOGICAL Minds.

Who this course is for:

  • Beginner Python developers who are interested in learning the programming language and creating projects using Python or just coders who want to refresh their basic Python knowledge.
  • Professionals looking to boost their resume by adding Python as a skill set.
  • Coding teachers
  • Freelance coders
  • Teenagers interested in learning Python

Course content

3 sections • 15 lectures • 53m total length

Python Coding Projects Build a Web App Directory Discovery

Learn Python step by step and with hands on Project

Requirements

  • Nothing just Patience and Eager to Learn !

Description

Python is a general-purpose interpreted, interactive, object-oriented, and high-level programming language. It was created by Guido van Rossum during 1985- 1990. Like Perl, Python source code is also available under the GNU General Public License (GPL). This tutorial gives enough understanding on Python programming language.

Why to Learn Python?

Python is a high-level, interpreted, interactive and object-oriented scripting language. Python is designed to be highly readable. It uses English keywords frequently where as other languages use punctuation, and it has fewer syntactical constructions than other languages.

Python is a MUST for students and working professionals to become a great Software Engineer specially when they are working in Web Development Domain. I will list down some of the key advantages of learning Python:

  • Python is Interpreted − Python is processed at runtime by the interpreter. You do not need to compile your program before executing it. This is similar to PERL and PHP.
  • Python is Interactive − You can actually sit at a Python prompt and interact with the interpreter directly to write your programs.
  • Python is Object-Oriented − Python supports Object-Oriented style or technique of programming that encapsulates code within objects.
  • Python is a Beginner’s Language − Python is a great language for the beginner-level programmers and supports the development of a wide range of applications from simple text processing to WWW browsers to games.

Characteristics of Python

Following are important characteristics of Python Programming −

  • It supports functional and structured programming methods as well as OOP.
  • It can be used as a scripting language or can be compiled to byte-code for building large applications.
  • It provides very high-level dynamic data types and supports dynamic type checking.
  • It supports automatic garbage collection.
  • It can be easily integrated with C, C++, COM, ActiveX, CORBA, and Java.

Python is one of the most widely used language over the web. I’m going to list few of them here:

  • Easy-to-learn − Python has few keywords, simple structure, and a clearly defined syntax. This allows the student to pick up the language quickly.
  • Easy-to-read − Python code is more clearly defined and visible to the eyes.
  • Easy-to-maintain − Python’s source code is fairly easy-to-maintain.
  • A broad standard library − Python’s bulk of the library is very portable and cross-platform compatible on UNIX, Windows, and Macintosh.
  • Interactive Mode − Python has support for an interactive mode which allows interactive testing and debugging of snippets of code.
  • Portable − Python can run on a wide variety of hardware platforms and has the same interface on all platforms.
  • Extendable − You can add low-level modules to the Python interpreter. These modules enable programmers to add to or customize their tools to be more efficient.
  • Databases − Python provides interfaces to all major commercial databases.
  • GUI Programming − Python supports GUI applications that can be created and ported to many system calls, libraries and windows systems, such as Windows MFC, Macintosh, and the X Window system of Unix.
  • Scalable − Python provides a better structure and support for large programs than shell scripting.

Who this course is for:

  • DevOps Engineers
  • DevSecOps Engineers
  • Developers
  • System Administrator
  • IT Engineers

Course content

2 sections • 22 lectures • 1h 29m total length

Python Coding

Learn the basic of python coding by understanding the difference between python and other coding languages

Learn about what is python

Understand the difference between python and other coding language

Learn about the uses of python

Understand the syntax of python and other programming languages

Requirements

  • PC/Laptop, Good internet connection

Description

Python is incredibly easy to learn and use for beginners and newcomers in the industry. The language is the most accessible among all the programming languages available because it has simplified syntax that is not complicated at all and gives more emphasis on natural language. Python is quite popular due to its hundreds of different libraries and frameworks that can be used by developers. The Python language is flexible enough to provide developers with ample time to try new experiments. Python experts will not just stop at the usual things, instead, they will try to build new processes, technologies, or applications. This language is commonly used for developing websites and software, task automation, data analysis, and data visualization. Since it’s relatively easy to learn, Python has been adopted by many non-programmers such as accountants and scientists, for a variety of everyday tasks, like organizing finances.

In the world of programming, Python is known as one of the most popular and fastest-growing programming languages. It can be defined as a high-level, interpreted, object-oriented scripting language, and a general-purpose language. There are various programming languages in the modern IT market space, but only Python has become quite widespread. The syntax in Python, when compared to C++ or Java, allows programmers to do coding in fewer steps. Bigger organizations use it widely because of its multiple programming paradigms. Most developers describe Python as a high-level, interpreted, and general-purpose dynamic programming language that focuses on code readability. Specialists who are working in different areas of disciplines such as Finance, Insurance use Python for improving performance with the help of automation. Automating all the boring and repetitive activities such as viewing, copying, renaming, uploading files to a server, and downloading websites or parsing data can be done with the help of Python.

Who this course is for:

  • Beginner python developers curious to learn about coding

Course content