Guide to Python Programming Language

Guide to Python Programming Language

Guide to Python Programming Language

Description
The course will lead you from beginning level to advance in Python Programming Language. You do not need any prior knowledge on Python or any programming language or even programming to join the course and become an expert on the topic.

The course is begin continuously developing by adding lectures regularly.

Please see the Promo and free sample video to get to know more.

Hope you will enjoy it.

Basic knowledge
An Enthusiast Mind
A Computer
Basic Knowledge To Use Computer
Internet Connection
What will you learn
Will Be Expert On Python Programming Language
Build Application On Python Programming Language

Best Way to Learn Python Programming Language | Python Tutorial

Best Way to Learn Python Programming Language | Python Tutorial

Worried that you have no experience in handling Python? Don’t! Python programming language teaching from Simpliv puts you right there to be able to write Python programs with ease. Place object-oriented programing in a Python context and use Python to perform complicated text processing.

Description
A Note on the Python versions 2 and 3: The code-alongs in this class all use Python 2.7. Source code (with copious amounts of comments) is attached as a resource with all the code-alongs. The source code has been provided for both Python 2 and Python 3 wherever possible.

What's Covered:

Introductory Python: Functional language constructs; Python syntax; Lists, dictionaries, functions and function objects; Lambda functions; iterators, exceptions and file-handling
Database operations: Just as much database knowledge as you need to do data manipulation in Python
Auto-generating spreadsheets: Kill the drudgery of reporting tasks with xlsxwriter; automated reports that combine database operations with spreadsheet auto-generation
Text processing and NLP: Python’s powerful tools for text processing - nltk and others.
Website scraping using Beautiful Soup: Scrapers for the New York Times and Washington Post
Machine Learning : Use sk-learn to apply machine learning techniques like KMeans clustering
Hundreds of lines of code with hundreds of lines of comments
Drill #1: Download a zip file from the National Stock Exchange of India; unzip and process to find the 3 most actively traded securities for the day
Drill #2: Store stock-exchange time-series data for 3 years in a database. On-demand, generate a report with a time-series for a given stock ticker
Drill #3: Scrape a news article URL and auto-summarize into 3 sentences
Drill #4: Scrape newspapers and a blog and apply several machine learning techniques - classification and clustering to these
Using discussion forums

Please use the discussion forums on this course to engage with other students and to help each other out. Unfortunately, much as we would like to, it is not possible for us at Loonycorn to respond to individual questions from students:-(

We're super small and self-funded with only 2 people developing technical video content. Our mission is to make high-quality courses available at super low prices.

The only way to keep our prices this low is to NOT offer additional technical support over email or in-person. The truth is, direct support is hugely expensive and just does not scale.

We understand that this is not ideal and that a lot of students might benefit from this additional support. Hiring resources for additional support would make our offering much more expensive, thus defeating our original purpose.

It is a hard trade-off.

Thank you for your patience and understanding!

Who is the target audience?

Yep! Folks with zero programming experience looking to learn a new skill
Machine Learning and Language Processing folks looking to apply concepts in a full-fledged programming language
Yep! Computer Science students or software engineers with no experience in Java, but experience in Python, C++ or even C#. You might need to skip over some bits, but in general the class will still have new learning to offer you :-)
Basic knowledge
No prior programming experience is needed :-)
The course will use a Python IDE (integrated development environment) called iPython from Anaconda. We will go through a step-by-step procedure on downloading and installing this IDE.
What will you learn
Pick up programming even if you have NO programming experience at all
Write Python programs of moderate complexity
Perform complicated text processing - splitting articles into sentences and words and doing things with them
Work with files, including creating Excel spreadsheets and working with zip files
Apply simple machine learning and natural language processing concepts such as classification, clustering and summarization
Understand Object-Oriented Programming in a Python context

Python Programming Tutorials For Beginners

Python Programming Tutorials For Beginners

Python Programming Tutorials For Beginners

Description
Hello and welcome to brand new series of wiredwiki. In this series i will teach you guys all you need to know about python. This series is designed for beginners but that doesn't means that i will not talk about the advanced stuff as well.

As you may all know by now that my approach of teaching is very simple and straightforward.In this series i will be talking about the all the things you need to know to jump start you python programming skills. This series is designed for noobs who are totally new to programming, so if you don't know any thing about

programming than this is the way to go guys Here is the links to all the videos that i will upload in this whole series.

In this video i will talk about all the basic introduction you need to know about python, which python version to choose, how to install python, how to get around with the interface, how to code your first program. Than we will talk about operators, expressions, numbers, strings, boo leans, lists, dictionaries, tuples and than inputs in python. With

Lots of exercises and more fun stuff, let's get started.

Download free Exercise files.

Dropbox: https://bit.ly/2AW7FYF

Who is the target audience?

First time Python programmers
Students and Teachers
IT pros who want to learn to code
Aspiring data scientists who want to add Python to their tool arsenal
Basic knowledge
Students should be comfortable working in the PC or Mac operating system
What will you learn
know basic programming concept and skill
build 6 text-based application using python
be able to learn other programming languages
be able to build sophisticated system using python in the future

To know more:

Learn Programming With Python In 100 Steps

Description We love Programming. Our aim with this course is to create a love for Programming. Python is one of the most popular programming languages. Python offers both object oriented and structural programming features. We take an hands-on...

Description
We love Programming. Our aim with this course is to create a love for Programming.

Python is one of the most popular programming languages. Python offers both object oriented and structural programming features.

We take an hands-on approach using a combination of Python Shell and PyCharm as an IDE to illustrate more than 150 Python Coding Exercises, Puzzles and Code Examples.

In more than 150 Steps, we explore the most important Python Programming Language Features

Basics of Python Programming - Expressions, Variables and Printing Output
Python Operators - Python Assignment Operator, Relational and Logical Operators, Short Circuit Operators
Python Conditionals and If Statement
Methods - Parameters, Arguments and Return Values
An Overview Of Python Platform
Object Oriented Programming - Class, Object, State and Behavior
Basics of OOPS - Encapsulation, Inheritance and Abstract Class.
Basics about Python Data Types
Basics about Python Built in Modules
Conditionals with Python - If Else Statement, Nested If Else
Loops - For Loop, While Loop in Python, Break and Continue
Immutablity of Python Basic Types
Python Data Structures - List, Set, Dictionary and Tuples
Introduction to Variable Arguments
Basics of Designing a Class - Class, Object, State and Behavior. Deciding State and Constructors.
Introduction to Exception Handling - Your Thought Process during Exception Handling. try, except, else and finally. Exception Hierarchy. Throwing an Exception. Creating and Throwing a Custom Exception

To read more: