Skip to main content

Day 4 : Pandas and Jupyter Notebook


The name sounds funny but Pandas is one of the most useful python library for data science. Most of the time spend by data scientists is used to clean and manipulate the data. Pandas provide the useful data structures such as Series and Data Frame . These are easy to manipulate and the and with them possibilities are limitless.

Installing Pandas by PIP:
Just type this in your terminal/shell
Pip install pandas

Kudos. Now you have pandas installed.
Next -> Start exploring pandas
Resource : Pandas for beginners

Next thing we are going to use is Jupyter Notebook.

The Jupyter Notebook is an open-source web application that allows you to create and share documents that contain live code, equations, visualizations and narrative text. Uses include: data cleaning and transformation, numerical simulation, statistical modeling, data visualization, machine learning, and much more
Jupyter.org

 This link will guide how to use Jupyter Notebooks.
after you are done with that go to this link , you might find some solved exercises for Pandas and Numpy

Thats enough for today.
Enjoy

Comments

Post a Comment

Popular posts from this blog

Day 5 : Ace Matplotlib

Now that we have learned a bit about data manipulation and retrieval, we can take next step. That is to start analyzing the data we have gathered. And the easiest way for data analysis is through graph plotting. Don't worry you won't have to calculate every x and y coordinate to plot on graph because python or more specifically matplotlib will do it for us. Q.What is Matplotlib? Ans. It is a python package that makes graph plotting very easy. Matplotlib is a plotting library for the Python programming language and its numerical mathematics extension NumPy. Wikipedia Later on we will build on to the graph plotting using another python library Seaborn, it is built upon Matplotlib. At this stage learning these libraries might feel very boring to you but trust me if you are to become a data scientist some day, these will be your bread and butter.  So focus and absorb as much as you can. The best resource you need to learn matplotlib is the course that i have mentioned in
23 comments
Read more

Day 2 : Starting with Python For Data Science

Setting up the environment First of all you need to install Python Download Python from    here Now that we have installed Python on our computer, we need to get an IDE for writing code. Personally I prefer PyCharm by JetBrains. You may use Atom and etc. Download  PyCharm Community   Edition   from    here   If you know programming, this part shouldn't be very difficult for you. You can skim through the notes, get familiarize with the syntax and you may even write some snippet of code to get comfortable. However, if you do not know programming in any other language. I would suggest you to first complete a programming course before going ahead. If you want to build your basics and understanding of computer science and programming I would suggest you to complete CS 50  course by Harvard. Read Python online guide click here  (part 1 to 4.8 is enough) This shall provide you the basic understanding of Python. I my self practiced some sorting algorithms in pyth
19 comments
Read more

Who am I?

Hey Everyone ! Abdul Samad here , I am a Computer Engineering student at GIKI , Pakistan. Focused, driven, realistically optimist ,an aspiring Data Scientist, best describes me. I am hoping to graduate by this JUNE. I would just cut my intro short.  The purpose of this blog is to document my journey of becoming a Data Scientist. I am up against a challenge. 100 day challenge to become a Data Scientist.   Is it even possible???  Lets find out together :D
15 comments
Read more