* Cantinho Satkeys

Refresh History
  • FELISCUNHA: Votos de um santo domingo para todo o auditório  4tj97u<z
    03 de Novembro de 2024, 10:49
  • j.s.: bom fim de semana  43e5r6 49E09B4F
    02 de Novembro de 2024, 08:37
  • j.s.: ghyt74 a todos  4tj97u<z
    02 de Novembro de 2024, 08:36
  • FELISCUNHA: ghyt74   49E09B4F  e bom feriado   4tj97u<z
    01 de Novembro de 2024, 10:39
  • JPratas: try65hytr Pessoal  h7ft6l k7y8j0
    01 de Novembro de 2024, 03:51
  • j.s.: try65hytr a todos  4tj97u<z
    30 de Outubro de 2024, 21:00
  • JPratas: dgtgtr Pessoal  4tj97u<z k7y8j0
    28 de Outubro de 2024, 17:35
  • FELISCUNHA: Votos de um santo domingo para todo o auditório  k8h9m
    27 de Outubro de 2024, 11:21
  • j.s.: bom fim de semana   49E09B4F 49E09B4F
    26 de Outubro de 2024, 17:06
  • j.s.: dgtgtr a todos  4tj97u<z
    26 de Outubro de 2024, 17:06
  • FELISCUNHA: ghyt74   49E09B4F  e bom fim de semana
    26 de Outubro de 2024, 11:49
  • JPratas: try65hytr Pessoal  101yd91 k7y8j0
    25 de Outubro de 2024, 03:53
  • JPratas: dgtgtr A Todos  4tj97u<z 2dgh8i k7y8j0
    23 de Outubro de 2024, 16:31
  • FELISCUNHA: ghyt74  pessoal   49E09B4F
    23 de Outubro de 2024, 10:59
  • j.s.: dgtgtr a todos  4tj97u<z
    22 de Outubro de 2024, 18:16
  • j.s.: dgtgtr a todos  4tj97u<z
    20 de Outubro de 2024, 15:04
  • FELISCUNHA: Votos de um santo domingo para todo o auditório  101041
    20 de Outubro de 2024, 11:37
  • axlpoa: hi
    19 de Outubro de 2024, 22:24
  • FELISCUNHA: ghyt74   49E09B4F  e bom fim de semana  4tj97u<z
    19 de Outubro de 2024, 11:31
  • j.s.: ghyt74 a todos  4tj97u<z
    18 de Outubro de 2024, 09:33

Autor Tópico: Let's Make Python Easy  (Lida 102 vezes)

0 Membros e 1 Visitante estão a ver este tópico.

Online mitsumi

  • Moderador Global
  • ***
  • Mensagens: 115657
  • Karma: +0/-0
Let's Make Python Easy
« em: 16 de Março de 2021, 14:16 »

Let's Make Python Easy
Duration: 1h57m | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 1.02 GB
Genre: eLearning | Language: English
Python, PyCharm, Anaconda, JuPyter Notebook, Running Python program from Windows CMD, Lists, loops, If-else & much more.

What you'll learn
This course is designed to help learners to learn Python Easily
Python
PyCharm
Anaconda
JuPyter

Requirements
None
Description
This course is specifically designed for all learners, who are looking to get comfortable with Python programming.

This course will offer :

A gentle introduction to Python programming.

Try to generate ease of use of Jupyter Notebook

Step by step movement of levels of Python coding

Slow and easy learning pace

Not going into very complex coding but explained one functionality at a time

As mentioned earlier, this course is not designed for very advanced programming but will take you to a level from where learners can easily complete Data Analytics or Data Science programs

This course will start from basics and will help in installation of Python, Anaconda, JuPyter Notebook and walk through of JuPyter Notebook.

Then we will understand some basics navigations of Jupyter notebook. Next we will move to some basic operations in Python and gradually we will level up to some advanced operations.

These operations includes introduction to different data types in Python, then mathematical operations, string operations, advanced string operations, if - Else, loops (for Loops), list operations, List Comprehensions, Python function & Python Lambda.

This way we ensured that we start from very basic level and go till the level where learner starts getting comfortable with Python.

Also just to let you know that we will update the course on regular interval to ensure that you keep on moveing up in your learning path.

So now what you are waiting for ? Please go ahead and confirm your enrolment !!!

Who this course is for:
Beginners in Python and looking to work in Data Science
Learners looking to learn Python


Download link:
Só visivel para registados e com resposta ao tópico.

Only visible to registered and with a reply to the topic.

Links are Interchangeable - No Password - Single Extraction