Nestor Arcila

1614225648

Pandas for Beginners | Pandas Complete Course

In computer programming, #pandas​ is a software library written for the Python programming language for data manipulation and analysis. In particular, it offers data structures and operations for manipulating numerical tables and time series. It is free software released under the three-clause BSD license.

00:00​ - Introduction
00:50​ - Anaconda for Pandas
01:12​ - Download Indian Food Dataset
01:46​ - Introduction to Indian Food Dataset
02:48​ - Importing Pandas Module
03:45​ - Read CSV File using Pandas Dataframe
06:18​ - Reading Excel File Using Pandas Dataframe
06:48​ - Check Total Rows and Columns in Pandas Dataframe File
07:25​ - Dataframe Shape
07:50​ - Getting list of columns of a Dataframe
09:20​ - Check datatypes of columns in Dataframe
11:25​ - Reading Pipe Separated File in Pandas
13:11​ - Read CSV with Header in Different row in Pandas
15:40​ - Read CSV File with Selected Columns in Pandas Dataframe
18:11​ - How Pandas Dataframe Handles Duplicate Column
21:53​ - Change datatype while reading files in pandas Dataframe
24:35​ - Read all the columns as string in pandas Dataframe
25:10​ - Reading first few records from beginning of a file using Dataframe
25:10​ - Reading first few records from beginning of a file using Dataframe
25:45​ - Reading last few records from end of a file using Dataframe
26:40​ - Dataframe Data cleansing Introduction
27:20​ - Check Null values or Empty Values in Pandas Dataframe
28:31​ - Pandas Isnull() Function
30:30​ - Assign na_values in Pandas Dataframe
34:13​ - Filter records with Null values in a column in Dataframe
35:20​ - Count Null values in a column in Dataframe
36:50​ - Replace Null values with other value in Pandas Dataframe
39:00​ - Write data to excel file in Pandas Dataframe
40:40​ - The End - Do Subscribe for Part 2

Subscribe: https://www.youtube.com/channel/UCJoPqixxBhY4xuxMqPfZEdg

#pandas #python

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Buddha Community

Pandas for Beginners | Pandas Complete Course
August  Larson

August Larson

1624286340

Python for Beginners #2 — Importing files to python with pandas

Use pandas to upload CSV, TXT and Excel files

Story time before we begin

Learning Python isn’t the easiest thing to do. But consistency is really the key to arriving at a level that boosts your career.

We hear a lot about millennials wanting things to easy. In reality, there are a lot of young professionals who believe that they can do more for their companies but are being held back by the work cultures they are faced with at the onset of their careers.

Having been lucky enough to have found a job after my studies, I remember immediately feeling a wave of disappointment a very short while after starting my new job. I felt like a cog in a massive machine. I wasn’t really anything other than a ‘resource’. An extra 8–15 hours of daily man power depending on my boss’ whim.

The result, was the eventual disenchantment and lack of motivation simply because, for the most part, I was expected to be quiet and do my job in the hope of one day being senior enough to effect significant changes. And while the older generation would generally tell me to suck it up, I couldn’t see myself sucking it up for 5 years or more. I knew I’d get stale and afraid of change, much like those telling me to stay in my place.

For anyone in a similar situation,**_ do your best to improve on your skills _**and find an environment that works for you. That’s the whole purpose of these articles. To get you on your way to freedom.

Introduction

For this demonstration, I’ll use data from this Kaggle competition. It’s a simple CSV file containing data on individuals in the Titanic and the different profiles i.e. (age, marital status etc.)

I want to import this file to python. I’ll show you how to do this alongside all the possible troubleshoots you may encounter.

Table of Contents

  1. Where should you put your files?
  2. Reading CSV and TXT files
  3. Reading excel (XLSX) files

#python #programming #pandas #python for beginners #importing files to python with pandas #python for beginners #2 — importing files to python with pandas

Techtutorials | Online IT Courses, Training, Syllabus

Techtutorials tell you the best online IT courses/training, tutorials, certification courses, and syllabus from beginners to advanced level on the latest technologies recommended by Programming Community through video-based, book, free, paid, Real-time Experience, etc.

#techtutorials #online it courses #mobile app development courses #web development courses #online courses for beginners #advanced online courses

Sival Alethea

Sival Alethea

1624395600

MongoDB with Python Crash Course - Tutorial for Beginners. DO NOT MISS!!!

Learn the most popular NoSQL / document database: MongoDB. In this quickstart tutorial, you’ll be up and running with MongoDB and Python.
⭐️Course Contents⭐️
⌨️ (0:00:00) Welcome
⌨️ (0:04:33) Intro to MongoDB
⌨️ (0:07:49) How do document DBs work?
⌨️ (0:10:34) Who uses MongoDB
⌨️ (0:13:02) Data modeling
⌨️ (0:16:30) Modeling guidelines
⌨️ (0:22:11) Integration database
⌨️ (0:24:23) Getting demo code
⌨️ (0:30:07) How ODMs work?
⌨️ (0:32:55) Introduction to mongoengine
⌨️ (0:34:01) Demo: Registering connections with MongoEngine
⌨️ (0:37:20) Concept: Registering connections
⌨️ (0:39:14) Demo: Defining mongoengine entities (classes)
⌨️ (0:45:22) Concept: mongoengine entities
⌨️ (0:49:03) Demo: Create a new account
⌨️ (0:56:55) Demo: Robo 3T for viewing and managing data
⌨️ (0:58:18) Demo: Login
⌨️ (1:00:07) Demo: Register a cage
⌨️ (1:10:28) Demo: Add a bookable time as a host
⌨️ (1:16:13) Demo: Managing your snakes as a guest
⌨️ (1:19:18) Demo: Book a cage as a guest
⌨️ (1:33:41) Demo: View your bookings as guest
⌨️ (1:41:29) Demo: View bookings as host
⌨️ (1:46:18) Concept: Inserting documents
⌨️ (1:47:28) Concept: Queries
⌨️ (1:48:09) Concept: Querying subdocuments with mongoengine
⌨️ (1:49:37) Concept: Query using operators
⌨️ (1:50:24) Concept: Updating via whole documents
⌨️ (1:51:46) Concept: Updating via in-place operators
⌨️ (1:54:01) Conclusion

📺 The video in this post was made by freeCodeCamp.org
The origin of the article: https://www.youtube.com/watch?v=E-1xI85Zog8&list=PLWKjhJtqVAbnqBxcdjVGgT3uVR10bzTEB&index=10
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Sival Alethea

Sival Alethea

1624305600

Full Ethical Hacking Course - Network Penetration Testing for Beginners (2019)

Learn network penetration testing / ethical hacking in this full tutorial course for beginners. This course teaches everything you need to know to get started with ethical hacking and penetration testing. You will learn the practical skills necessary to work in the field. Throughout the course, we will develop our own Active Directory lab in Windows, make it vulnerable, hack it, and patch it. We’ll cover the red and blue sides. We’ll also cover some of the boring stuff like report writing :).
⭐️ Course Contents ⭐️
⌨️ (0:00) - Course Introduction/whoami
⌨️ (6:12) - Part 1: Introduction, Notekeeping, and Introductory Linux
⌨️ (1:43:45) - Part 2: Python 101
⌨️ (3:10:05) - Part 3: Python 102 (Building a Terrible Port Scanner)
⌨️ (4:23:14) - Part 4: Passive OSINT
⌨️ (5:41:41) - Part 5: Scanning Tools & Tactics
⌨️ (6:56:42) - Part 6: Enumeration
⌨️ (8:31:22) - Part 7: Exploitation, Shells, and Some Credential Stuffing
⌨️ (9:57:15) - Part 8: Building an AD Lab, LLMNR Poisoning, and NTLMv2 Cracking with Hashcat
⌨️ (11:13:20) - Part 9: NTLM Relay, Token Impersonation, Pass the Hash, PsExec, and more
⌨️ (12:40:46) - Part 10: MS17-010, GPP/cPasswords, and Kerberoasting
⌨️ (13:32:33) - Part 11: File Transfers, Pivoting, Report Writing, and Career Advice

📺 The video in this post was made by freeCodeCamp.org
The origin of the article: https://www.youtube.com/watch?v=3Kq1MIfTWCE&list=PLWKjhJtqVAblfum5WiQblKPwIbqYXkDoC&index=6
🔺 DISCLAIMER: The article is for information sharing. The content of this video is solely the opinions of the speaker who is not a licensed financial advisor or registered investment advisor. Not investment advice or legal advice.
Cryptocurrency trading is VERY risky. Make sure you understand these risks and that you are responsible for what you do with your money
🔥 If you’re a beginner. I believe the article below will be useful to you ☞ What You Should Know Before Investing in Cryptocurrency - For Beginner
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☞ **-----CLICK HERE-----**⭐ ⭐ ⭐
Thanks for visiting and watching! Please don’t forget to leave a like, comment and share!

#ethical hacking #network penetration testing #full ethical hacking course - network penetration testing for beginners #beginners #full ethical hacking course #network penetration testing for beginners

Udit Vashisht

1586702221

Python Pandas Objects - Pandas Series and Pandas Dataframe

In this post, we will learn about pandas’ data structures/objects. Pandas provide two type of data structures:-

Pandas Series

Pandas Series is a one dimensional indexed data, which can hold datatypes like integer, string, boolean, float, python object etc. A Pandas Series can hold only one data type at a time. The axis label of the data is called the index of the series. The labels need not to be unique but must be a hashable type. The index of the series can be integer, string and even time-series data. In general, Pandas Series is nothing but a column of an excel sheet with row index being the index of the series.

Pandas Dataframe

Pandas dataframe is a primary data structure of pandas. Pandas dataframe is a two-dimensional size mutable array with both flexible row indices and flexible column names. In general, it is just like an excel sheet or SQL table. It can also be seen as a python’s dict-like container for series objects.

#python #python-pandas #pandas-dataframe #pandas-series #pandas-tutorial