Start with Python
Python is one of the most preferred language for Data Science. It is needless to discuss the pros and cons of Python over any other language(R/SAS/Java/C).
If you are already comfortable with any other language then it’s good, but if you are still exploring and are ready to pick a new language, then Python it is.
At the time of writing this blog, two versions of Python are popular
Python 2.7
Python 3.*
Let’s start with installing the snake.
1. All you need is – Anaconda
Once you have it in your system, install it and you will be able to execute python codes. I would recommend using Jupyter notebook, this was you will be able to document your work and analysis.
How to launch Jupyter Notebook?
Once you have installed Anaconda, you will get an Anaconda Navigator in your start menu or on your desktop.
Double click to open it.
This is how Anaconda Navigator will look like. Click on the Launch button below the Jupyter Notebook
The Jupyter notebook will look something like the one below:
Click on the new button and select Python 3(if Python 3 has been installed)
Running your first Python program
What do you want Python to print?
“Hello World” ??
Yeah !! That’s how we start
Following libraries are the bread and butter of a Data Scientist:-
1. Matplot – To visualize your data
2. Numpy – In eases the complex mathematical operations
3. Pandas – It provides data structure of a high level and a very good variety of tools for analysis
4. SciPy – For Machine Learning
5. Pytorch – To provide tensor computation
6. Keras – Talks about Neural Network in detail
7. Scikit- It holds a lot of unsupervised learning algorithms
To start with, we will use Matplot, Numpy, Pandas and Scikit.
Though I recommend solving at least 25 questions from any of the below websites to make you comfortable with functions, but you can chuck this part and jump directly on the Data Analysis part
1. Codechef
2. Spoj
3. HackerRank
If you want to get a head start in Python, then you can go through either w3school or tutorials point first. But, in case you want to learn it in a more practical way, you can stick to this website.
In the coming few days, we will quickly jump from basic data types and structures, and will start exploring few algorithms on really small dataset. The reason why We will be using small datasets is that you can actually visualize the effect of each algorithm.
We will then move to solving a couple of Hackathons.
See, it’s very irritating to write or explain the different data types of a new language. We will try to keep it simple and crisp, once you start using these is when you will understand it better.
Data Types:-
1. Number – Daaahh !! It’s just numbers(int, long, float and complex)
2. String – Same old story. Remember, index starts with 0
3. List –
-A list can contain anything
-It also starts with index 0
-It is MUTABLE
– Square bracket
list1 = ['alpha', 'beta', 'Shaktiman', 8382] list2 = ["d", "a", "t", "a"]
4. Tuples –
-Same as List
-Tuple is IMMUTABLE
-Starts with index 0
– Round bracket
tup1 = ('alpha', 'beta', 'Shaktiman', 8382)
tup2 = ("d", "a", "t", "a")5. Dictionary
– Contains key and values where key is the identifier and value is the value. Example – Abba:6132, Dabba:6292,Jabba:6002
-Curly braces
Student = {
"Abba": 6132,
"Dabba":6292,
"Jabba":6002
}Dekho, itna ho gya..Baaki jab time aaeyga toh khud sheekh jaaoge..Haan agar aur kuch specific malum krna ho toh comment daal dena
Will learn python in a question answer way in the next article
Keep Learning 🙂
The Data Monk
The Data Monk services
We are well known for our interview books and have 70+ e-book across Amazon and The Data Monk e-shop page . Following are best-seller combo packs and services that we are providing as of now
- YouTube channel covering all the interview-related important topics in SQL, Python, MS Excel, Machine Learning Algorithm, Statistics, and Direct Interview Questions
Link – The Data Monk Youtube Channel - Website – ~2000 completed solved Interview questions in SQL, Python, ML, and Case Study
Link – The Data Monk website - E-book shop – We have 70+ e-books available on our website and 3 bundles covering 2000+ solved interview questions. Do check it out
Link – The Data E-shop Page - Instagram Page – It covers only Most asked Questions and concepts (100+ posts). We have 100+ most asked interview topics explained in simple terms
Link – The Data Monk Instagram page - Mock Interviews/Career Guidance/Mentorship/Resume Making
Book a slot on Top Mate
The Data Monk e-books
We know that each domain requires a different type of preparation, so we have divided our books in the same way:
1. 2200 Interview Questions to become Full Stack Analytics Professional – 2200 Most Asked Interview Questions
2.Data Scientist and Machine Learning Engineer -> 23 e-books covering all the ML Algorithms Interview Questions
3. 30 Days Analytics Course – Most Asked Interview Questions from 30 crucial topics
You can check out all the other e-books on our e-shop page – Do not miss it
For any information related to courses or e-books, please send an email to [email protected]
