We are ready to continue!

Now we are going to learn how to:
  - Import libraries
  - Read files with the ``pandas``
  - Create DataFrames.

**Import libraries**

Python is an ocean of libraries that serve various purposes, and as a Python developer, we must have sound knowledge of the best ones. 

Books in every library are functions that can be used to perform different operations.
Now we are going to work with the pandas library.

To import the library, use the following code:

  
  ```
  import pandas as pd
  ```

``pd`` alias is used for the ease of the work usually.

**Creating the DF by reading the csv-file**

There is a special function in the ``pandas`` - ``.read_csv()``. The function helps to meet (read) the file (csv, xlsx, etc.).
Pandas is the library that works with the DataFrames. DF is a structure made of your file. 
Sounds a little bit difficult? Don't worry! It only seems to be like that.
To create the DataFrame from the csv-file, use the following code:


  ```
  df = pd.read_csv('filename.csv')
  ```

This course will teach you the necessary skills to manage simple analytical tasks. You are going to learn Python and its libraries, such as pandas and NumPy. Besides, you will deal with real-life analytical tasks such as calculating vitally important marketing metrics.

Here, we will face challenges related to data types in python. In this section, we will learn the Python syntax necessary for each person who wants to work with this language. After the section, we will undoubtedly be able to cope with simple Python tasks.

This section will teach you simple Python functions. We will be able to work with if/else statements and loops. Such skills are necessary for everyone who wants to start programming and doing fascinating Python tasks.

This section is the most complicated than the previous one, but it is gripping. Here, we will manage the most commonly used pandas function to help we do essential operations with data. Also, we will learn the basics of the NumPy library.

This section allows you to become a real analyst. Let's go!

Operations with the File

Oplossing

Operations with the File

Oplossing