Tag: Computer Science and Engineering

BEST WAY TO LEARN PYTHON PROGRAMMING LANGUAGE

Python is a very popular programming language. It was developed by Guido van Rossum & released in 1991. Guido van Rossum started implementing Python in 1989. Python is not difficult programming language to learn so even if you are new in programming you can learn python without facing any issues. There are many best way to learn python programming.
And below i have mentioned them to the best of my knowledge
Python is used for:

web development (server-side)
software development
mathematics
system scripting
WHY SHOULD YOU LEARN PYTHON PROGRAMMING?
Python works on different platforms e.g. Windows, Mac, Linux and Raspberry Pi
Python has a very simple syntax similar to the English language.
Python has simple syntax that allows developers to write programs with fewer lines than some other languages.
Python runs on an interpreter system, meaning that code can be executed as soon as it’s written.
Python is the most widely used programming languages in the field of AI.
Developers used Python to build productivity tools games & desktop apps, so there are variety of way that help you to learn python programming
You can prefer below mentioned best book to learn python programming:

Python Crash Course
Head-First Python, 2nd edition
Learn Python 3 the Hard Way
Real Python Course, Part 1
How important is it to learn python?

Easier to learn which keeps you going to learn anything & everything in Python
Development is faster than C and Java. In today’s development arena for a corporation beginning , the most challenge is building the merchandise first & fast & then keep doing the feature enhancements & bug fixing.
Python programmers are less compared to Java/C/C++/C# etc so finding a Python resource is also not easy hence Python developers are often paid higher.
Strong Python community. From free workshop to Meetups Volunteered Conferences every Python Developer will be willing to help you if you are stuck.
Last but not the least- Once you start learning python programming language, you will fall in love with it & I bet she will not cheat or dump you & probably you would end up getting married with her.
Type Of Jobs Which Are Available To Python Programmers?

There are too many roles Are Available To Python Programmers within the job market, Python is usually checked out as a robust secondary supplemental language to a primary language that is more broadly used like C/Java.
There are a different types of jobs that one can get focusing exclusively on Python development, so, Some of these jobs will be in building and enhancing the internal tools that a company uses to develop its finished marketable products rather than working on the finished product itself.
One specific economic sector where the presence of Python programming language is particularly very strong is the geospatial industry. This is a critical industry that deals in navigational tools like GPS, radar & light measurements.
If you are interested in web applications I suggest Python is a better choice for development rather than design.

RESOURCES FOR PROGRAMMING

Before starting I would like to thank you for all your support and help please see my other articles about coding and how to learn it .Well, starting with computing becomes really tough, especially because nobody knows where to. As mentioned earlier, C++ may be a good start. it’s an honest language with various applications, and is accepted in most programming contests. Python is another good language for beginners, but its easy and possesses its demerits as a primary language(you will find it tough to maneuver to C++ if you recognize Python as your maternal language , whereas learning Python after C++ is trivial).
1. Find a course on C++.Start with Bucky’s C++ tutorials. they’re easy to know and to the purpose . If you watch and practice 2-3 videos each day , then you’ll easily finish it in 1 month. confirm you implement everything taught either on Ideone or on your Computer’s IDE. the primary video during this series explains the way to install and use it. Follow the instructions well, and there wouldn’t be any issues. Don’t move to subsequent video without understanding and practicing the previous one on your own.
Another great website is www.learncpp.com.
2. Have a revision toolAfter completing the above tutorial, you ought to have an honest revision tool. It are often a book, a website, an app, etc. Books have both theory and questions in them, hence they’re more useful. you’ll start with this very famous book called allow us to C++. it’ll prove very beneficial after you’ve got done Bucky’s tutorials.
You can also use this app Sololearn, which is beneficial if you would like to catch up the syntax of any language.
3. Get a practice sourceThere are tonnes of internet sites out there which contain questions for practice. an honest one is SPOJ. Solve them within the order of decreasing number of users(click on the users tab to rearrange in decreasing number of users order). this will be done while reading the book(step 2). After you’re thorough with it, you’ll move to the classical section and again arrange and solve. These are very nice problems which they’re very useful for developing good coding skills.
There are many other sites like CodeChef, HackerRank, CodeForces, HackerEarth, etc. SPOJ may be a excellent spot to start out because it requires brooding about the matter from scratch with none precoded stuff.
4. determine the way to use the online to unravel your problemsThere tons of resources online. Learn to google well and use few keywords. once you see a compilation error, paste the exception type on search bar. you’ll definitely find an answer on StackOverflow. Similarly, if you can’t solve say problem ID 3458, then google SPOJ 3458. most likely you’ll get a solution . this is often a really important tip for aspiring programmers.Like this text and provides your feedback it’ll be highly appreciated and share the article together with your friends. Also check the previous article on the way to start with coding. And my other article on data science

DATA SCIENCE BASICS

In this post, we’ll be discussing about two fundamental questions which can assist you in shaping your career in data science.
1 . What is data science and what are its components?
2. What are the prerequisite skills needed to get a job in data science?
1 . Data science is actually the techniques which are used for extracting meaningful insights from a huge dataset. With the presence of many people on the web , companies like Facebook, Instagram, Google collected plenty of knowledge about its users. This led to Big Data. It comprises of unstructured datasets. Hence, several methods were developed to work on this data and are available up with wide scale applications. An example is that Netflix collects data from its users to return with the choices like where to put subtitles, the way to place the top credits and the way to make transition between episodes of an internet series.
So the first step is to collect data and store it. It involves collecting differing types of knowledge like user generated data, external data and storing them.
To ensure the reliable flow of knowledge , data pipelines are built on the idea of a standard structure, ETL which is Extract, Transform and cargo . Through this, the transformation of raw data is done so that it can be suitably analysed. This task is handled by data engineers.
Only after this, the “analysis” on data can be performed. Often this is often the sole part which is concentrated ignoring the essential foundations, hence people have the misunderstanding that only data analytics comprise data science.
On top of this, metrics are built on which data is tracked, categorisation of users is completed and data also can be trained with the assistance of labels. Before deploying ML models, an experimentation framework is put for getting an estimate of the changes before it’s implemented on the whole dataset.
2. Now to be able to implement it, you need the following skills for getting started in the domain of data science.
Programming LanguageIrrespective of the role, you would like to understand a programing language suitable for manipulating statistical data like Python or R. Besides this, you furthermore may got to know a database command language like SQL. With the help of Python libraries, the application of machine learning models get simpler hence it is not required to know how exactly the algorithms work initially.

Applied Mathematics You should have a solid understanding of statistics, as it will be needed for making decisions for evaluation of experiments. Knowledge of calculus and linear algebra helps in using the results of a machine learning or statistical implementation in a different case independently.
Data cleaning and visualisationDo not think that data will be readily available to you for processing. Often an excellent deal of your time is spent in cleaning the info , adjusting missed values, correcting formatting. Without this, data can’t be processed to further stages.
You should skills to use visualisation techniques to draw meaningful insights from the info . Matplotlib, ggplot can help in visualisation. Tableau has also been a well-liked tool for rendering data visually.
Software engineeringA strong software engineering background is that the most essential requirement. You should have a clear understanding of algorithms, data structures, memory management which will be always tested in the first rounds for the data science roles.

HOW TO LEARN CODING AND TIPS TO LEARN IT FASTER

With the resources present on the web , it’s very easy to urge started with programming. If you’ve got a laptop/desktop and a reliable Internet connection, you’ll start your coding journey immediately . Follow this roadmap to begin without any confusion.

Object Oriented Programming Language( OOP )
Start your coding journey with an OOP Language like C++. Learn the nitty gritties of it and master the important libraries such as STL. For a detailed strategy to learn C++, check this article. It is equally important to solve different programming problems. This tests if you’ll actually convert an algorithm into working code. Hackerrank is a good source for covering the basics and solving challenging problems.

Mastering Data Structures and Algorithms
You should develop the ability to tackle different programming questions by implementing the correct algorithm. This is also crucial for software developer roles, as every company tests the knowledge of algorithms and data structures. Competitive programming websites such as Codechef, Codeforces are some of the recommended sources to begin with.

Building Software
Start developing your own applications. Simple projects like web scrapers, document searchers are an honest start line . Learn Python which may be used for developing several web applications. You can also start learning android and web development. You can also build your own portfolio after this.

Delve Deeper
Software engineering is a huge field. Increase the complexity of projects gradually such as using the web scraper to fetch data from a website and adding classification by using ML. You can try to build applications powered by databases( apps such as Quora or a small social network application that can group users by their common interests and engage them accordingly. )

Specialized Skills
Try to gain skills which can be leveraged massively. Start with Machine Learning from Andrew Ng’s Coursera course. Join Kaggle and participate within the ir contests in order that you’ll understand the implementation of ML in the world . Often the practical use of different ML algorithms is more essential than understanding the theory fully. You can also explore areas such as Cryptography, Network Security depending on your interests.

IMPORTANT TIPS TO LEARN CODING FASTER
When learning how to code, it is important to know the right way to learn. Otherwise even after spending a huge amount of your time , it can happen that you simply aren’t actually good in coding and there are gaps in your learning.

  1. Practice coding
    Only seeing tutorials for coding would not help. Often students are satisfied in watching videos and that they feel that the training is over. This is not how it works in real world and is certainly not coding. Unless you are stuck at problems, you do not know your weaknesses. Writing code is the deal. And you have to get things executed. Practice problems from sites like Hackerrank to urge started. There are elaborate editorials for problems and you’ll understand from there if you’re stuck.
    For running Python programs, you’ll also use Google Colaboratory. You have the power of Google data centres at your disposition and there is no additional need to install anything else. The notebooks are present in the Google Drive connected to your account. Try Google Colaboratory.
  2. Googling
    Google things on how to do it. Stackoverflow has many solutions to very frequently occurring errors. There are blog posts available for it. Use the main keywords and not unnecessary grammar. Googling in itself is a great skill. You need not remember each and each syntax of each programing language . Be smart to take the help of the resources.
  3. Patience
    Writing code by yourself by following the logic requires patience and it’s okay to struggle initially . You can understand the essential syntax of a language at one go but that’s not enough. For understanding the subtleties within the various problems, you would like to spend longer time with the precise questions. If you’re stuck in writing a program, follow the 2nd step, read the code, the relevant material and execute step 1. Once you recognize the way to do these stuff, you’ll be learning things quickly.