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The post-90s girl resigned to open a milk tea shop and paid 200000 yuan in three months: the reality is far more fractured than expected. No choice but to learn Python

編輯:Python

Open a shop naked

I used to operate in an Internet company in Gulou District, Fuzhou , Every day 996, In the face of endless overtime , I'm tired of , He chose to start a business with naked words .

I like drinking milk tea very much , So I want to open a milk tea shop , Do as you say , The next day I began to look for stores on the street , There is a milk tea shop next to the community at home , Look at the , The transfer fee is not expensive , He took over .

In order to save cost , Only the soft fittings such as doorhead and tables and chairs in the store have been replaced , The decoration of the store is still the same . Even so , A meal also cost nearly 12 Ten thousand yuan , Including store rent deposit and store 5 Ten thousand yuan transfer fee .

After opening , In order to attract enough popularity , Made a “ Buy 1 Get 1 FREE ” Opening activities , It's powerful , Attracted a lot of young people . After closing at night , I calculated , Buy one get one free activity, sell one cup to lose 3 Yuan , How can such a big loss be withstood , A week later , They suspended the offer ; After returning to normal prices , Business has plummeted , When it rains , I can only sit in the shop with the clerk in a daze .

Business is good and there is no money to make , Business is bad and there is no money to make . Making money for the landlord every day , It's all nonsense !


Business is bad , Start trying all kinds of ways

  • It is said that short videos will help store business improve , So I started publishing short videos every day , But the effect is not good , Each video has less than 1000, For half a month , There is still no video with a reading of 10000 .

  • It's said that the live broadcast is very popular , Try to make live broadcast and bring goods in the milk tea shop , But the number of people watching each time is less than 10 people , Did 10 God , And gave up completely .

All kinds of ways have been tried , In the end, it didn't bring good changes to the store , Business is still tepid , The daily turnover is less than 2000 element , At the worst 800 element , I can't even earn rent .

Loss after one month 2 Thousands of multivariate , business 3 Months , Compensate 20 ten thousand , Seeing the landlord urge the rent again , Only the transfer information can be posted at the door of the store ,10 Within days 5 Bo people , All feel 5 The transfer fee is too high , Finally, on the eve of rent payment 1 ten thousand Turned out .

The kitchen 3 Spent... Months ago 3 Equipment purchased for 10000 yuan , Finally 1500 Sold to second-hand equipment recyclers at a low price of yuan , In the face of such a result , I just want to say :“ Reality is far more important than phenomenon , I regret opening a shop !”

After closing the store , I'm looking for a job again , But think of doing business every day before 996 Low wages , I don't want to deal with people all day , Too tired , I want to learn something technical , OK, change careers !

Later, some former colleagues and friends said that I could consider learning python, Front end and java Now there are many people engaged in , It may not be very competitive just entering the industry , So I chose python, from 8 Learning begins in June , Studied for half a year , from python Basics 、 front end 、django、flask、 Reptiles 、 Data analysis 、 I've learned everything about machine learning . Also successfully found a favorite development work , Although the salary has not reached the psychological expectation for the time being , But don't worry about the store anymore , Want to come , But it also ended up “ Relaxed ”!

Python Introduction learning route sharing :

The first part :Python Programming core

Chapter one :Python Basics V4.1

1-1Python Introduce

1-2pycharm Basic use of

1-3Python Basic grammar

1-4 Branch statement

1-5 Loop statement

1-6 Basic functions use

1-7 Object oriented fundamentals

1-8 Object oriented advanced

Chapter two :Python Programming core V4.1

2-1 list 、 Tuples 、 aggregate 、 Dictionaries

2-2 character string

2-3 Function advanced usage

2-4 quote

2-5 Object management

2-6 File operations

2-7 exception handling

2-8 Modules and packages

The third chapter :【 project 】 Aircraft battle V4.1

3-1 Project preparation

3-2 Background window

3-3 Aircraft interaction

The second part :Python and Linux Advanced programming

Chapter one :Linux Basics V3.2

1-1 Operating system introduction

1-2linux command ( One )

1-3linux command ( Two )

1-4linux command ( 3、 ... and )

1-5ubuntu Install software and share files

1-6vim Basic use

Chapter two : Network programming v3.1

2-1 Basic concepts

2-2udp

2-3tcp client

2-4tcp The server

2-5tcp Download the file

The third chapter : multitasking v3.1

3-1 Threads

3-2 process

3-3 coroutines

Chapter four :【 project 】web The server v3.1

4-1 Regular expressions

4-2http agreement

4-3 Simple web Server implementation

4-4 Concurrent web Server implementation

4-5 Network communication

The fifth chapter :Python Advanced Grammar v3.1

5-1GIL lock

5-2 Deep copy and light copy

5-3 Privatization 、import、 Encapsulation inheritance polymorphism

5-4 Method to parse the order table MRO

5-5 The difference between class object and instance object in accessing properties property attribute

5-6 Private properties and names 、 Magic properties and methods 、 Context manager

Chapter six :MySQL database v3.1

6-1 Basic use of database

6-2 Database query

6-3MySQL And Python Interaction

6-4MySQL senior

Chapter vii. :【 project 】mini-web frame v3.1

7-1WSGI-mini-web frame

7-2 Closure

7-3 Decorator

7-4mini-web Add routing and routing to the framework MySQL function

7-5mini-web Add regular and... To the framework log Log function

7-6 The metaclass

7-7orm

The third part : The front-end development

Chapter one :HTML and CSSV4.0

1-1 Front end introduction and common HTML label

1-2css Selector one and list

1-3css Selector 2 、 Form and box model layout

1-4 Element localization 、 form 、 bounced 、photoshop

Chapter two :JavaScript and JQueryV4.0

2-1JavaScript Basic grammar and small cases

2-2JavaScript Arrays and strings

2-3JavaScript Timer and animation

2-4jQuery Introduction and jQuery Selectors

2-5jQuery tab 、 Animation 、 Chat box

2-6jQuery Forms 、 event

2-7jQueryDom Operation and case

2-8JavaScrip Object and the ajax

The third chapter :Vue.jsV4.0

3-1Vue Basic syntax tab event handling

3-2Vue Forms 、 filter 、 Data requests and ES6

3-3Vue Component development and miniwebVue Case study

The fourth part :Web Development

Chapter one :Flask frame V4.0

1-1web Access process and virtual environment installation

1-2app Create and run-time parameters

1-3 Request mode and return value of view

1-4 Regular converter and error capture

1-5 Request hook and decorator routing implementation

1-6cookie and session

1-7 Request context and application context

1-8 Templates

1-9wtf Forms

1-10 database

1-11 Database synthesis case

1-12 Database migration and signaling

1-13 Blueprints and tests

Chapter two :Redis database V4.0

2-1redis Installation configuration

2-2redis Data type and operation

2-3redis Master slave and cluster

The third chapter :Git version management V4.0

3-1git brief introduction

3-2git Single person local warehouse operation

3-3git Remote warehouse github

Chapter four :【 project 】 Xinjing information V4.0

4-1 Project brief introduction

4-2 Project configuration and project directory structure organization

4-3 Databases and templates

4-4 register

4-5 Sign in

4-6 Home news list

4-7 News details page

4-8 News collection, comments and likes

4-9 Personal center

4-10 Change Password 、 User collections and press releases

4-11 Background management

4-12 News layout editor

4-13 Classified management of news

4-14 Project deployment

The fifth chapter :【 project 】 Mido Mall V4.0

5-1 Project development preparation

5-2 Project creation and engineering configuration project creation and engineering configuration project creation and engineering configuration

5-3 Image verification code

5-4 SMS verification code

5-5celery Asynchronous processing of short message tasks

5-6 User registration and jwt Authentication mechanism

5-7 The user login

5-8 Forget your password and reset your password

5-9QQ Sign in - Return to the front and back of the login URL to realize

5-10QQ Sign in - Other operating

5-11 User personal center business and email verification

5-12 Receiving address management

5-13 Advertising page table design and migration

5-14Docker And Fastdfs

5-15 Rich text editor 、 Page static 、 Timing task

5-16 Realize page static asynchronously

5-17 Hot goods 、 User browsing records 、 The function of commodity list page is realized

5-18 The commodity search function can realize

5-19 The shopping cart module is basically realized

5-20 Other functions of shopping cart

5-21 Basic realization and test of order function

5-22 Order concurrent processing

5-23 Alipay payment function

5-24xadmin Background management

5-25django Project database configuration and deployment

Chapter six :Django frame V4.0

6-1 Framework introduction and project creation

6-2django Routes and views

6-3 View extract request parameters

6-4django Using cache in

6-5django Class based view and middleware

6-6 Database configuration and model

6-7 Model data query and manager

6-8Django Template use and form

6-9Django Backstage site management

6-10 know Resful And DjangoDRF

6-11DRF Serializer definition and use

6-12DRF Serializer validation and model class serialization

6-13DRF Class based view

6-14DRF View sets use

6-15DRF Permission configuration and automatic generation interface

Chapter vii. :Shell Programming and automation V3.1

7-1Shell Getting started

7-2 Comments and variables

7-3 Conditional expressions and common commands

7-4 Process control and comprehensive exercises

7-5 Code release

7-6 The deployment environment

7-7 Release scripts and code manually

Chapter viii. : Data structures and algorithms V1.0

8-1 Time complexity

8-2 The order sheet

8-3 Single chain list

8-4 Two way linked list and one way linked list

8-5 Stacks and queues

8-6 Bubble sort and insert sort

8-7 Hill sort and quick sort

8-8 Merge sort and binary search

8-9 Trees and binary trees

The fifth part : The crawler development

The future era is not just IT Era , still DT Era , The Internet contains endless valuable data , Discover rules from big data , Forecasting and analysis is the demand of every company . Data acquisition and extraction is data analysis 、 The foundation of data mining . This course uses Python Language explains how to quickly obtain valuable information from the information ocean of the Internet , It contains the knowledge of reptile theory 、xpath、lxml、 The crawler frame 、NoSQL Database and other technical knowledge , It covers data acquisition 、 Data Extraction 、 Complete data analysis process of data storage . It aims to help students build a complete set of technical skills required by reptile Engineers .

Chapter one : The general crawler module uses V4.0

1-1 Basic concept of reptile

1-2requests Handle GET、POST request

1-3requests Handling agents 、cookie、session

1-4 Data Extraction -json、 Regular

1-5 Data Extraction -xpath、lxml

1-6 Multitasking crawler and selenium

Chapter two :MongoDB database V4.0

2-1Mongo Basic use of

2-2Mongo Advanced use of

The third chapter :【 project 】 E-commerce crawler and Scrapy frame V4.0

3-1scrapy Basic use of framework

3-2scrapy Frame other knowledge learning

3-3 Suning Book crawler case

3-4scrawlspider as well as scrapy Simulated Login

3-5 Distributed scrapy_redis Learning and Jingdong reptile

3-6redisspider And Dangdang reptile

3-7rediscrawlspdier And Amazon reptiles

Chapter four : Crawler framework development V4.0

4-1 Crawler framework development analysis

4-2 Frame prototype construction

4-3 Framework perfect log 、xpath、 Multi crawler implementation

4-4 Pipeline with perfect framework 、 Ask to repeat 、 Asynchronous task implementation

4-5 Framework upgrade distributed 、 The incremental 、 The realization of intermittent climbing

The sixth part : Artificial intelligence

machine learning (MachineLearning,ML) It's an interdisciplinary subject , Probability theory 、 statistical 、 Approximation theory 、 Convex analysis 、 Algorithm complexity theory and other disciplines . To study how computers simulate or implement human learning behavior , To acquire new knowledge or skills , Reorganize the existing knowledge structure to improve its performance . Machine learning is the core of artificial intelligence , This course uses machine learning to learn common models and algorithms 、 Deep learning TensorFlow Explanation of framework and other technologies , Cultivate students' ability to apply machine learning and deep learning algorithms to solve problems in their field .

Chapter one : data mining V4.0

1-1matplotlib Draw line chart

1-2matplotlib Draw a basic statistical chart

1-3numpy Basics

1-4 Case study : Stock data processing

1-5 Array operation, split and merge

1-6pandas Index slice sort

1-7pandas Statistical calculation and file reading

1-8pandas Merge crosstab grouping aggregation

1-9 Basic knowledge of stock data

1-10 Time series and stock data processing

1-11 Stock data analysis

Chapter two : machine learning V4.0

2-1 Introduction to machine learning and feature extraction

2-2 Feature preprocessing and data dimensionality reduction

2-3 Introduction and of machine learning algorithm K- Nearest neighbor algorithm

2-4 Naive Bayes and decision tree algorithm

2-5 Random forest and linear regression algorithm

2-6 Logistic regression algorithm and model preservation

The third chapter :【 project 】 Quantitative trading V4.0

3-1 Introduction to quantitative trading framework

3-2 Introduction to trading strategy

3-3 Multi factor method and de extremum

3-4 Factor data processing

3-5IC Analyze the actual combat

3-6 Multivariate analysis

3-7 Stock selection by scoring method

3-8 Stock selection by regression method

3-9 Quantitative trading system architecture

Chapter four : Deep learning V4.0

4-1TensorFlow Basic knowledge of

4-2 Return to training cases

4-3TensorFlow File read and write

4-4 Neural networks and MNIST Handwritten digit recognition

4-5 Convolutional neural networks

4-6CNN Convolutional network recognition MNIST data

4-7 Verification code recognition

If you find this article helpful , Welcome to thumb up 、 Collection ! Scan the code to get learning materials for free

After sorting out the knowledge , We need to make up for it , So for these knowledge points , I also have a lot of e-books and notes on hand , These notes make a perfect summary of each knowledge point .

Python Basics

The general crawler module uses

Data analysis

Python Selected books

Practical cases

This full version of Python A full set of learning materials has been uploaded CSDN, Friends can scan the bottom of wechat if necessary CSDN The official two-dimensional code is free 【 Guarantee 100% free 】.


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