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SQL Tutorial for Beginners This SQL Tutorial for Beginners is a complete package for how
This SQL tutorial will help you learn SQL basics, so you can become a successful SQL developer. You will find out what are the SQL commands, syntax, data types, operators, creation & dropping of tables, inserting and selecting query. Through this tutorial you will learn SQL for working with a relational database. Learn SQL from Intellipaat SQL training and fast-track your career.
SQL Tutorial for Beginners
This SQL Tutorial for Beginners is a complete package for how to learn SQL online. In this SQL tutorial , you will learn SQL programming to get a clear idea of what Structured Query Language is and how you deploy SQL to work with a relational database system.
So, a structured query language is a language that is used to operate the relational databases. Some of the major ways in which SQL is used in conjunction with a relational database is for the purposes of storing, retrieving and manipulating of data stored in a relational database.
Check out Intellipaat’s blog to get a fair understanding of SQL Optimization Techniques!
Here we have the list of topics if you want to jump right into a specific one:
To learn SQL Online, first let us compare SQL with NoSQL in the below table:
Comparison criteriaSQLNoSQL
Type of databaseRelationalNon-relational
How is data storedStructured data in tablesUnstructured data in JSON files
Suitability for OLTP systemsExcellentAverage
Database compliance
ACID properties
CAP Theorem
The language to communicate with the relational database is the SQL or Structured Query Language. SQL programming helps to operate the relational databases and derive information from it.
Some of the operations that the SQL does include creation of database, fetching, modifying, updating and deleting the rows along with storing, manipulating and retrieving data within the relational database. SQL programming is an ANSI standard language but there are a lot of versions of SQL in usage as well.
Why is SQL programming so widely used?
Structured Query Language or SQL programming is used so extensively for the following reasons.
SQL lets you access any data within the relational database
You can describe the data in the database using SQL
Using SQL you can manipulate the data with the relational database
SQL can embed within other languages through SQL modules & libraries
SQL lets you easily create and drop databases and tables
SQL allows you to create views, functions and stored procedures in databases
Using SQL you can set permissions on procedures, tables and views.
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Features of SQL
Here in this section of the SQL tutorial for beginners, we list some of the top features of SQL that make it so ubiquitous when it comes to managing relational databases.
SQL is very simple and easy to learn language
SQL is versatile as it works with database systems from Oracle, IBM, Microsoft, etc.
SQL is an ANSI and ISO standard language for database creation and manipulation
SQL has a well-defined structure as it uses long established standards
SQL is very fast in retrieving large amounts of data very efficiently
SQL lets you manage databases without knowing lot of coding.
Applications of SQL
Here in this section of the SQL tutorial we will learn SQL applications that make it so important in a data-driven world where managing huge databases is the norm of the day.
SQL is used as a Data Definition Language (DDL) meaning you can independently create a database, define its structure, use it and then discard it when you are done with it
SQL is also used as a Data Manipulation Language (DML) which means you can use it for maintaining an already existing database. SQL is a powerful language for entering data, modifying data and extracting data with regard to a database
SQL is also deployed as a Data Control Language (DCL) which specifies how you can protect your database against corruption and misuse.
SQL is extensively used as a Client/Server language to connect the front-end with the back-end thus supporting the client/server architecture
SQL can also be used in the three-tier architecture of a client, an application server and a database that defines the Internet architecture.
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Why should you learn SQL?
Today regardless of the relational databases systems by major corporations like Oracle, IBM, Microsoft and others, the one thing that is common to them is the Structured Query Language or SQL.
Originally published at www.intellipaat.com on August 12, 2019
Introduction to Python Programming What is Python used for? Let’s begin with this Python tutorial
This Python tutorial will help you learn Python and build a career in this top programming language. Through this tutorial, you will learn Python basics, its salient features, basic syntax, variable types, operators, functions, modules, and more. You will also understand what exception handling is, how to access database, Python classes and loops, and ultimately how to write Python codes. Learn Python from Intellipaat Python Certification course and excel in your career!
Introduction to Python Programming
What is Python used for? Let’s begin with this Python tutorial in order to make you understand what Python programming is. We will start from Python basics.
As per Stack Overflow, Python language is one among the fastest growing programming languages in the world. Forbes says that Python language has seen the 7th largest increase in demand in the past few years. Due to this, there is an acute shortage of skilled and certified Python professionals. Hence, job opportunities for Python programming have increased, tremendously. According to Indeed, the average annual salary of a Python Developer in the US is $123,000.
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Watch this Python Tutorial Video for Beginners for more insight.
Python language is one of the most popular programming languages of the 21st century. It is a general-purpose language and has been here around for over 20 years. Python Syntax is also extremely simple and elegant. With its gentle and gradual learning curve, Python is considered as the best introductory programming language. I hope the introduction to python is clear to you by now.
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So, let’s jump onto the other topics in this python tutorial and learn python for beginners.
Here is the list of topics covered in this Python Tutorial, just in case you want to jump right into a specific one:
Why Python?
What Can Python Do?
Python 2 Vs. Python 3
Beginners’ Tips for Learning Python Programming Online
Why Python?
When it comes to automating the predictive model, Python language is the first choice for Data Scientists
Python language provides some of the awesome and robust libraries for Big Data, Artificial Intelligence, Machine Learning, and Deep Learning.
For deploying Machine Learning models in production, Data Scientist prefers Python programming over R.
It is easy to integrate Python with Big Data frameworks such as Spark and Hadoop.
Python language has huge online community support.
What Can Python Do?
Python is a general-purpose language, which means that it can be used to write software applications in a variety of domains without being restricted to a particular domain. This feature sets Python apart from the domain-specific languages. Being a general-purpose language, Python can do a number of interesting things. Some of them are listed here in this python tutorial below:
Python programming can be used to write an application using Tkinterwhich use graphics rather than text to interact with the users.
Python language can be used to create games, using its modules such as Pygameor Kivy.
Python can also automate boring stuff such as sending emails, uploading status on a Facebook account, and more
Python can also be used to experiment with computer vision using its openCV library. It is particularly used in robotics to enable the robots to see and avoid obstacles while moving.
Drawing complex graphs and visualizing the data can be by Python, using its matplotliband similar libraries.
Being one of the top choices for data analysis, Python can also mine Twitter Data. How convenient is that! Especially, if you consider the fact that in today’s world there are literally hordes of data created every second.
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Watch this Python for Data Science Video.
Difference Between Python 2 and Python 3
Since the release of the new version of Python, i.e., Python 3, which is explained the most in this Python tutorial, there has been a bit of debate in the coding community over deciding which Python version is better. Whether Python 3 is better than Python 2 is a rather subjective question, and the selection between the two eventually comes down to personal preference. But, one must know how Python 2 and Python 3 are different. Python 3 is a fundamentally different version from Python 2.
Check out all the key differences between Python 2 and 3:
Basis of the Difference
Beginners’ Tips for Learning Python Programming Online
While learning as a beginner through this Python tutorial, you should follow these tips which will help you deal with some new concepts:
Tip #1: Practice Python every day
It is important to have consistency while learning any new programming language. It is important that you should make a commitment to write code every day, as it will play with your muscle memory which is a very important part in programming. Increase your level of coding gradually but never stop playing around with the Python basics coding part. You may end up learning something new every time you practice Python coding even about the python basics.
This python tutorial will also help you keep a good grasp of Python basics. Here are some examples for you to exercise:
Print the type of an element:
>> a = “this is a string”
>>> type(a)
>>> <class ‘str’> #output
Use docstring to add multi-line descriptive descriptions in your code:
>>def printOutput(str):
>>>“’This function will print the passed string’”
>>>print (str)
>>>return;
Watch this Python Tutorial Video for Beginners.
Import libraries:
>>> import sklearn
>>> import pandas as pd
>>> import matplotlib.pyplot as plt
Perform operations and play around with them:
>> a = ‘Intellipaat’
>>> a.upper()
>>> ‘INTELLIPAAT’
The list does not end here, there are plenty other basic things that you can practice.
Tip #2: Use Interactive Python shell
Whether you are new to Python data structures (dictionaries, lists, strings, etc.) or you are debugging an application, the best learning tool is the Interactive Python Shell.
To use the Interactive Python Shell, first, you should install Python on your computer. This Python tutorial on the step-by-step Installation procedure of Python will help you learn how to install Python in your system. To activate and use the Interactive Python Shell, simply open the terminal on your system and run Python 2 or Python 3 depending on your version of installation. Once the shell is open, you can start writing the code.
Tip #3: Debug your code
Hitting a bug is normal when you start writing a complex program. Don’t get frustrated here; it happens with everyone! Instead, take these moments as pride and think of yourself as a bug bounty hunter. Debugging your own code will help you learn even more.
It is important to have a methodological approach while debugging the code, which will help you find where your code has broken down. Going through your code step by step in its executable order and making sure that each part of your code works fine is the way you should go about it.
Watch this Python Interview Questions video.
Tip #4: Try to build some small projects
Always try to make up a small project for each concept. This python tutorial will help you build confidence for writing Python programs, as well as this will help you develop the muscle memory. Once you have a solid foundation on the basic data structures (Python Dictionaries, Python Strings, Python sets, Python Lists, etc.), object-oriented programming, and writing classes, you will be ready to deploy these programming concepts in real life. Keep writing small codes to keep your concepts clear while learning through this Python Tutorial.
Tip #5: Contribute to open source
Python is an open-source language which means that its source code is available for the public to download, use, and modify. Anyone can collaborate and be an active member of Python community. You have access to the code written and produced by big companies. Working with these codes will be a very valuable learning experience. You can even reach out for other community members whenever you hit a bug in your coding.
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Intellipaat is providing free Python Interview Questions and Answers, which will help you excel in your career!
Originally published at www.intellipaat.com on August 24, 2019
Overview of Apache Hadoop As Big Data has taken over almost every industry vertical that
In this Apache Hadoop tutorial you will learn Hadoop from the basics to pursue a big data Hadoop job role. Through this tutorial you will know the Hadoop architecture, its main components like HDFS, MapReduce, HBase, Hive, Pig, Sqoop, Flume, Impala, Zookeeper and more. You will also learn Hadoop installation, how to create a multi-node Hadoop cluster and deploy it successfully. Learn Big Data Hadoop from Intellipaat Hadoop training and fast-track your career.
Hadoop Tutorial – Learn Hadoop from Experts
In this Apache Hadoop tutorial you will learn Hadoop from the basics to pursue a big data Hadoop job role. Through this tutorial you will know the Hadoop architecture, its main components like HDFS, MapReduce, HBase, Hive, Pig, Sqoop, Flume, Impala, Zookeeper and more. You will also learn Hadoop installation, how to create a multi-node Hadoop cluster and deploy it successfully. Learn Big Data Hadoop from Intellipaat Hadoop training and fast-track your career.
Overview of Apache Hadoop
As Big Data has taken over almost every industry vertical that deals with data, the requirement for effective and efficient tools for processing Big Data is at an all-time high. Hadoop is one such tool that has brought a paradigm shift in this world. Thanks to the robustness that Hadoop brings to the table, users can process Big Data and work around it with ease. The average salary of a Hadoop Administrator which is in the range of US$130,000 is also very promising.
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Watch this Hadoop Tutorial for Beginners video before going further on this Hadoop tutorial.
Apache Hadoop is a Big Data ecosystem consisting of open source components that essentially change the way large datasets are analyzed, stored, transferred and processed. Contrasting to traditional distributed processing systems, Hadoop facilitates multiple kinds of analytic workloads on same datasets at the same time.
Qualities That Make Hadoop Stand out of the Crowd
Single namespace by HDFS makes content visible across all the nodes
Easily administered using High-Performance Computing (HPC)
Querying and managing distributed data are done using Hive
Pig facilitates analyzing the large and complex datasets on Hadoop
HDFS is designed specially to give high throughput instead of low latency.
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What is Apache Hadoop?
Apache Hadoop is an open-source data platform or framework developed in Java, dedicated to store and analyze the large sets of unstructured data.
With the data exploding from digital mediums, the world is getting flooded with cutting-edge big data technologies. However, Apache Hadoop was the first one which caught this wave of innovation.
Recommended Audience
Intellipaat’s Hadoop tutorial is designed for Programming Developers and System Administrators
Project Managers eager to learn new techniques of maintaining large datasets
Experienced working professionals aiming to become Big Data Analysts
